---
_id: '12813'
abstract:
- lang: eng
  text: Autonomous Mobile Robots, as the advanced version of Automated Guided Vehicles
    have received a lot of interest and recognition in recent years. Simultaneous
    Localization and Mapping (SLAM) techniques enable the vehicles to independently
    navigate and map their surroundings so that they can drive autonomously in changing
    and uncharted areas. Due to the increasing importance and contributive development
    of SLAMs for automated guided vehicles and autonomous mobile robots, this study
    seeks to provide an in-depth analysis of well-known SLAM techniques developed
    and applied during the previous ten years. Well-known SLAM algorithms considered
    in this paper include GMapping, Cartographer, LIO-SAM, and so on. They are mainly
    examined and compared from the viewpoints of basic principles, sensor requirements,
    computing complexity, and performance. The aim of this paper is to offer insights
    into various SLAM approaches to researchers, practitioners, and developers in
    the field of automated guided vehicles and autonomous mobile robots, facilitating
    the selection of suitable SLAM methods for specific applications and fostering
    innovation in autonomous navigation and mapping.
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
- first_name: Lothar
  full_name: Schulze, Lothar
  last_name: Schulze
- first_name: Kunal Satish
  full_name: Kalavadia, Kunal Satish
  id: '83202'
  last_name: Kalavadia
citation:
  ama: Li L, Schulze L, Kalavadia KS. <i>Promising SLAM Methods for Automated Guided
    Vehicles and Autonomous Mobile Robots</i>. Vol 232. (Longo F, Shen W, Padovano
    A, eds.). Elsevier BV; 2024:2867-2874. doi:<a href="https://doi.org/10.1016/j.procs.2024.02.103">10.1016/j.procs.2024.02.103</a>
  apa: Li, L., Schulze, L., &#38; Kalavadia, K. S. (2024). Promising SLAM Methods
    for Automated Guided Vehicles and Autonomous Mobile Robots. In F. Longo, W. Shen,
    &#38; A. Padovano (Eds.), <i>5th International Conference on Industry 4.0 and
    Smart Manufacturing (ISM)</i> (Vol. 232, pp. 2867–2874). Elsevier BV. <a href="https://doi.org/10.1016/j.procs.2024.02.103">https://doi.org/10.1016/j.procs.2024.02.103</a>
  bjps: '<b>Li L, Schulze L and Kalavadia KS</b> (2024) <i>Promising SLAM Methods
    for Automated Guided Vehicles and Autonomous Mobile Robots</i>, Longo F, Shen
    W and Padovano A (eds). Amsterdam [u.a.]: Elsevier BV.'
  chicago: 'Li, Li, Lothar Schulze, and Kunal Satish Kalavadia. <i>Promising SLAM
    Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Edited
    by F. Longo, W. Shen, and A. Padovano. <i>5th International Conference on Industry
    4.0 and Smart Manufacturing (ISM)</i>. Vol. 232. Procedia Computer Science. Amsterdam
    [u.a.]: Elsevier BV, 2024. <a href="https://doi.org/10.1016/j.procs.2024.02.103">https://doi.org/10.1016/j.procs.2024.02.103</a>.'
  chicago-de: 'Li, Li, Lothar Schulze und Kunal Satish Kalavadia. 2024. <i>Promising
    SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Hg.
    von F. Longo, W. Shen, und A. Padovano. <i>5th International Conference on Industry
    4.0 and Smart Manufacturing (ISM)</i>. Bd. 232. Procedia Computer Science. Amsterdam
    [u.a.]: Elsevier BV. doi:<a href="https://doi.org/10.1016/j.procs.2024.02.103">10.1016/j.procs.2024.02.103</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span> ; <span style="font-variant:small-caps;">Schulze,
    Lothar</span> ; <span style="font-variant:small-caps;">Kalavadia, Kunal Satish</span>
    ; <span style="font-variant:small-caps;">Longo, F.</span> ; <span style="font-variant:small-caps;">Shen,
    W.</span> ; <span style="font-variant:small-caps;">Padovano, A.</span> (Hrsg.):
    <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile
    Robots</i>, <i>Procedia Computer Science</i>. Bd. 232. Amsterdam [u.a.] : Elsevier
    BV, 2024'
  havard: L. Li, L. Schulze, K.S. Kalavadia, Promising SLAM Methods for Automated
    Guided Vehicles and Autonomous Mobile Robots, Elsevier BV, Amsterdam [u.a.], 2024.
  ieee: 'L. Li, L. Schulze, and K. S. Kalavadia, <i>Promising SLAM Methods for Automated
    Guided Vehicles and Autonomous Mobile Robots</i>, vol. 232. Amsterdam [u.a.]:
    Elsevier BV, 2024, pp. 2867–2874. doi: <a href="https://doi.org/10.1016/j.procs.2024.02.103">10.1016/j.procs.2024.02.103</a>.'
  mla: Li, Li, et al. “Promising SLAM Methods for Automated Guided Vehicles and Autonomous
    Mobile Robots.” <i>5th International Conference on Industry 4.0 and Smart Manufacturing
    (ISM)</i>, edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 2867–74,
    <a href="https://doi.org/10.1016/j.procs.2024.02.103">https://doi.org/10.1016/j.procs.2024.02.103</a>.
  short: L. Li, L. Schulze, K.S. Kalavadia, Promising SLAM Methods for Automated Guided
    Vehicles and Autonomous Mobile Robots, Elsevier BV, Amsterdam [u.a.], 2024.
  ufg: '<b>Li, Li/Schulze, Lothar/Kalavadia, Kunal Satish</b>: Promising SLAM Methods
    for Automated Guided Vehicles and Autonomous Mobile Robots, Bd. 232, hg. von Longo,
    F./Shen, W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer Science).'
  van: 'Li L, Schulze L, Kalavadia KS. Promising SLAM Methods for Automated Guided
    Vehicles and Autonomous Mobile Robots. Longo F, Shen W, Padovano A, editors. 5th
    International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam
    [u.a.]: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).'
conference:
  end_date: 2023-11-24
  location: Lisbon, PORTUGAL
  name: 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)
  start_date: 2023-11-22
date_created: 2025-04-17T06:37:23Z
date_updated: 2025-06-25T12:46:47Z
department:
- _id: DEP7000
doi: 10.1016/j.procs.2024.02.103
editor:
- first_name: F.
  full_name: Longo, F.
  last_name: Longo
- first_name: W.
  full_name: Shen, W.
  last_name: Shen
- first_name: A.
  full_name: Padovano, A.
  last_name: Padovano
intvolume: '       232'
keyword:
- Automated Guided Vehicle
- Autonomous Mobile Robot
- Simultaneous Localization and Mapping
- Robot Operating System
language:
- iso: eng
page: 2867-2874
place: Amsterdam [u.a.]
publication: 5th International Conference on Industry 4.0 and Smart Manufacturing
  (ISM)
publication_identifier:
  issn:
  - 1877-0509
publication_status: published
publisher: Elsevier BV
series_title: Procedia Computer Science
status: public
title: Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile
  Robots
type: conference_editor_article
user_id: '83781'
volume: 232
year: '2024'
...
---
_id: '555'
abstract:
- lang: eng
  text: Although it is recommended to store goods in a warehouse based on the principle
    of first in first out, it is still unavoidable to use block storage of storing,
    for example, long andbulky goods. If the major advantage of block storage in area
    saving is themost important, the companyhas to accept the removal principle of
    last in first out or in other words, first in last out. The last goods to be stocked
    are the first goods to be removed and the first stocked goods are the last to
    be removed. There are some special observations in the block storage concerned
    in this paper. The first one is that the goods in the storage ordered by the customers
    can often not be removed directly from the storage without any stock movement.
    Theaim is to not only benefit fromthe high-density storage solution but also decrease
    the negative influence of block storage, especially when pre-stocked goods must
    be removed at first. The second observation is that during one concerned time
    period, forexample, one day, there may be several operations of put-away and several
    operations of order picking for shipment preparation. The third observation is
    that before goods are put away to storage, which goods to be removed are not always
    predictable. The preplanned removal dates are quite often unexpected changed.
    In this paper, scenarios with different dynamic properties and stochastic probabilities
    have been concerned and defined. Strategies for the three main stages of put-away,
    i.e. stacking, pre-marshalingand retrieval are defined and examined developed.
    Simulations have been conducted to examine the strategies based on different scenarios.
    The aimis to select the right strategy which may reduce the overall relocation
    operations. It is expected that the sum of blocks movement during put-away i.e.
    stacking, pre-marshaling, and block retrieval is optimally minimized.
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
citation:
  ama: 'Li L. Put-Away and Retrieval Optimization Strategies towards Reduction of
    Blocks Relocations in a Block Storage. In: Villmer F-J, Padoano E, Department
    of Production Engineering and Management, eds. Lemgo; 2018:101-112.'
  apa: Li, L. (2018). Put-Away and Retrieval Optimization Strategies towards Reduction
    of Blocks Relocations in a Block Storage. In F.-J. Villmer, E. Padoano, &#38;
    Department of Production Engineering and Management (Eds.) (pp. 101–112). Presented
    at the Proceedings 8th International Conference, Lemgo.
  bjps: <b>Li L</b> (2018) Put-Away and Retrieval Optimization Strategies towards
    Reduction of Blocks Relocations in a Block Storage. In Villmer F-J, Padoano E
    and Department of Production Engineering and Management (eds). Lemgo, pp. 101–112.
  chicago: Li, Li. “Put-Away and Retrieval Optimization Strategies towards Reduction
    of Blocks Relocations in a Block Storage.” edited by Franz-Josef Villmer, Elio
    Padoano, and Department of Production Engineering and Management, 101–12. Lemgo,
    2018.
  chicago-de: 'Li, Li. 2018. Put-Away and Retrieval Optimization Strategies towards
    Reduction of Blocks Relocations in a Block Storage. In: , hg. von Franz-Josef
    Villmer, Elio Padoano, und Department of Production Engineering and Management,
    101–112. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span>: Put-Away and
    Retrieval Optimization Strategies towards Reduction of Blocks Relocations in a
    Block Storage. In: <span style="font-variant:small-caps;">Villmer, F.-J.</span>
    ; <span style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Department
    of Production Engineering and Management</span> (Hrsg.): . Lemgo, 2018, S. 101–112'
  havard: 'L. Li, Put-Away and Retrieval Optimization Strategies towards Reduction
    of Blocks Relocations in a Block Storage, in: F.-J. Villmer, E. Padoano, Department
    of Production Engineering and Management (Eds.), Lemgo, 2018: pp. 101–112.'
  ieee: L. Li, “Put-Away and Retrieval Optimization Strategies towards Reduction of
    Blocks Relocations in a Block Storage,” presented at the Proceedings 8th International
    Conference, Lemgo, 2018, no. 1, pp. 101–112.
  mla: Li, Li. <i>Put-Away and Retrieval Optimization Strategies towards Reduction
    of Blocks Relocations in a Block Storage</i>. Edited by Franz-Josef Villmer et
    al., no. 1, 2018, pp. 101–12.
  short: 'L. Li, in: F.-J. Villmer, E. Padoano, Department of Production Engineering
    and Management (Eds.), Lemgo, 2018, pp. 101–112.'
  ufg: '<b>Li, Li (2018)</b>: Put-Away and Retrieval Optimization Strategies towards
    Reduction of Blocks Relocations in a Block Storage, in: Franz-Josef Villmer et.
    al. (Hgg.): , Lemgo, S. 101–112.'
  van: 'Li L. Put-Away and Retrieval Optimization Strategies towards Reduction of
    Blocks Relocations in a Block Storage. In: Villmer F-J, Padoano E, Department
    of Production Engineering and Management, editors. Lemgo; 2018. p. 101–12.'
conference:
  end_date: 2019-10-05
  location: Lemgo
  name: Proceedings 8th International Conference
  start_date: 2019-10-04
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-13T15:12:26Z
date_updated: 2023-03-15T13:50:00Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Block storage
- Put-away
- Blocks relocation
- Block retrieval
- Order picking
- First in last out
- First in first out
- Pre-marshalling
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf
oa: '1'
page: 101-112
place: Lemgo
publication_identifier:
  isbn:
  - 978-3-946856-03-0
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf
status: public
title: Put-Away and Retrieval Optimization Strategies towards Reduction of Blocks
  Relocations in a Block Storage
type: conference
user_id: '45673'
year: 2018
...
---
_id: '559'
abstract:
- lang: eng
  text: 'The navigation technique has been always an important issue for guiding an
    automated guided vehicle (AGV). With the development of sensor technology, software
    engineering, andalgorithms, there is a spectrum of different navigation methods
    for AGVs. Inorder to avoid the additional environmental installation,so as to
    increase the flexibility of route planning, but to keep the positioning precision,
    more sensors, such as light detection and ranging (LIDAR), wheel encoders and
    gyroscope are installed on the vehicles to be automated. Some intelligent algorithms
    such as simultaneous localization and mapping (SLAM) algorithms and Monte Carlo
    localization have been developed for the navigation of vehicles, including position
    and orientation. The interesting question, especially for the AGVmanufacturers,
    is: which algorithm is more suitable for which kind of applications. The suitabilityof
    an algorithm for the navigation of AGVs with facilities of Light Detection and
    Ranging(LIDAR), encoders and gyroscope ismainly determined by four properties.
    They are the positioning precision, computational costs, execution time and positioning
    repeatability. This paper intends to investigate the suitability of an algorithm
    or a navigation method for AGVs with LIDAR, wheel encoders,and gyroscope. The
    two aspects of positioningaccuracy and repeatability are especially concerned.
    A general comparison of different navigation methods and algorithms is given.
    An experimental platform with a basic vehicle, controlling system and sensors
    is then developed to further evaluate the algorithms. The hardware components
    and software components are compatible to robot operating system (ROS). This open-source
    robotics middleware provides services and tools for creating robot applications.
    As ROS SLAM nodes, open-source SLAM algorithms can be evaluated relatively easily
    without any rewriting or modification of the algorithms. As a new research field,
    there is not jet a SLAM algorithm, which is predominant absolutely.'
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
- first_name: L.
  full_name: Schulze, L.
  last_name: Schulze
citation:
  ama: 'Li L, Schulze L. Comparison and Evaluation of SLAM Algorithms for AGV Navigation.
    In: Villmer F-J, Padoano E, Department of Production Engineering and Management,
    eds. <i>Production Engineering and Management</i>. Lemgo; 2018:213-223.'
  apa: Li, L., &#38; Schulze, L. (2018). Comparison and Evaluation of SLAM Algorithms
    for AGV Navigation. In F.-J. Villmer, E. Padoano, &#38; Department of Production
    Engineering and Management (Eds.), <i>Production Engineering and Management</i>
    (pp. 213–223). Lemgo.
  bjps: <b>Li L and Schulze L</b> (2018) Comparison and Evaluation of SLAM Algorithms
    for AGV Navigation. In Villmer F-J, Padoano E and Department of Production Engineering
    and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp.
    213–223.
  chicago: Li, Li, and L. Schulze. “Comparison and Evaluation of SLAM Algorithms for
    AGV Navigation.” In <i>Production Engineering and Management</i>, edited by Franz-Josef
    Villmer, Elio Padoano, and Department of Production Engineering and Management,
    213–23. Lemgo, 2018.
  chicago-de: 'Li, Li und L. Schulze. 2018. Comparison and Evaluation of SLAM Algorithms
    for AGV Navigation. In: <i>Production Engineering and Management</i>, hg. von
    Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and
    Management, 213–223. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span> ; <span style="font-variant:small-caps;">Schulze,
    L.</span>: Comparison and Evaluation of SLAM Algorithms for AGV Navigation. In:
    <span style="font-variant:small-caps;">Villmer, F.-J.</span> ; <span style="font-variant:small-caps;">Padoano,
    E.</span> ; <span style="font-variant:small-caps;">Department of Production Engineering
    and Management</span> (Hrsg.): <i>Production Engineering and Management</i>. Lemgo,
    2018, S. 213–223'
  havard: 'L. Li, L. Schulze, Comparison and Evaluation of SLAM Algorithms for AGV
    Navigation, in: F.-J. Villmer, E. Padoano, Department of Production Engineering
    and Management (Eds.), Production Engineering and Management, Lemgo, 2018: pp.
    213–223.'
  ieee: L. Li and L. Schulze, “Comparison and Evaluation of SLAM Algorithms for AGV
    Navigation,” in <i>Production Engineering and Management</i>, Lemgo, 2018, no.
    1, pp. 213–223.
  mla: Li, Li, and L. Schulze. “Comparison and Evaluation of SLAM Algorithms for AGV
    Navigation.” <i>Production Engineering and Management</i>, edited by Franz-Josef
    Villmer et al., no. 1, 2018, pp. 213–23.
  short: 'L. Li, L. Schulze, in: F.-J. Villmer, E. Padoano, Department of Production
    Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
    2018, pp. 213–223.'
  ufg: '<b>Li, Li/Schulze, L. (2018)</b>: Comparison and Evaluation of SLAM Algorithms
    for AGV Navigation, in: Franz-Josef Villmer et. al. (Hgg.): <i>Production Engineering
    and Management</i>, Lemgo, S. 213–223.'
  van: 'Li L, Schulze L. Comparison and Evaluation of SLAM Algorithms for AGV Navigation.
    In: Villmer F-J, Padoano E, Department of Production Engineering and Management,
    editors. Production Engineering and Management. Lemgo; 2018. p. 213–23.'
conference:
  end_date: 2018-10-05
  location: Lemgo
  name: Proceedings 8th International Conference
  start_date: 2018-10-04
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-13T15:56:30Z
date_updated: 2023-03-15T13:50:00Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Automatedguided vehicle
- Simultaneous localization and mapping
- Robot operating system
- Light detection and ranging
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf
oa: '1'
page: 213-223
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-03-0
publication_status: published
status: public
title: Comparison and Evaluation of SLAM Algorithms for AGV Navigation
type: conference
user_id: '45673'
year: 2018
...
---
_id: '560'
abstract:
- lang: eng
  text: In warehouse planning and dimensioning, many parameters and conditions have
    to be met and goals must be fulfilled, e.g. labor and investment costs, desired
    throughput and capacity, available material handling technologies and size constraints.
    These factors determine the ultimate choice of a particular alternative from a
    wide range of solution alternatives.On the one hand, the warehouse planning process
    is very complex and takes into account all different aspects of decision-making.
    On the other hand, it is expected that the planning period is shorter and shorter.
    To balance out the competing interests of accuracy and time, it is a promising
    approach to make use of computer-based planning tools. They can be used to find
    the most cost-efficientalternative and to visualize its layout.In addition, at
    the end of the planning process not only technologies and layout dimensions are
    specified, the warehouse layout with the rack configuration, the conveyors and
    the buildings should be visualized in three dimensions.It is a promising approach
    to integrate the detailed layout drawing through computer-aideddesign tools such
    as AutoCAD Inventor into warehouse planning process. Softwareis developed for
    detailed warehouse planning. The core modules of the software can generate a favorable
    warehouse alternative and an AutoCAD-Add-On for the visualization of the outcomes.With
    the planning tool,the planning period can be significantly shortened while simultaneously
    the planning quality, especially during the period of rough planning, increases.To
    balance out the competing interests of accuracy and time, it is a promising approach
    to make use ofcomputer-basedplanning tools. They can be used to find the most
    cost-efficientalternative and to visualize its layout.
author:
- first_name: L.
  full_name: Schulze, L.
  last_name: Schulze
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
citation:
  ama: 'Schulze L, Li L. Digitized Planning with Visualization for Warehouse Layouts.
    In: Villmer F-J, Padoano E, Department of Production Engineering and Management,
    eds. <i>Production Engineering and Management</i>. Lemgo; 2018:233-242.'
  apa: Schulze, L., &#38; Li, L. (2018). Digitized Planning with Visualization for
    Warehouse Layouts. In F.-J. Villmer, E. Padoano, &#38; Department of Production
    Engineering and Management (Eds.), <i>Production Engineering and Management</i>
    (pp. 233–242). Lemgo.
  bjps: <b>Schulze L and Li L</b> (2018) Digitized Planning with Visualization for
    Warehouse Layouts. In Villmer F-J, Padoano E and Department of Production Engineering
    and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp.
    233–242.
  chicago: Schulze, L., and Li Li. “Digitized Planning with Visualization for Warehouse
    Layouts.” In <i>Production Engineering and Management</i>, edited by Franz-Josef
    Villmer, Elio Padoano, and Department of Production Engineering and Management,
    233–42. Lemgo, 2018.
  chicago-de: 'Schulze, L. und Li Li. 2018. Digitized Planning with Visualization
    for Warehouse Layouts. In: <i>Production Engineering and Management</i>, hg. von
    Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and
    Management, 233–242. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Schulze, L.</span> ; <span
    style="font-variant:small-caps;">Li, Li</span>: Digitized Planning with Visualization
    for Warehouse Layouts. In: <span style="font-variant:small-caps;">Villmer, F.-J.</span>
    ; <span style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Department
    of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering
    and Management</i>. Lemgo, 2018, S. 233–242'
  havard: 'L. Schulze, L. Li, Digitized Planning with Visualization for Warehouse
    Layouts, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and
    Management (Eds.), Production Engineering and Management, Lemgo, 2018: pp. 233–242.'
  ieee: L. Schulze and L. Li, “Digitized Planning with Visualization for Warehouse
    Layouts,” in <i>Production Engineering and Management</i>, Lemgo, 2018, no. 1,
    pp. 233–242.
  mla: Schulze, L., and Li Li. “Digitized Planning with Visualization for Warehouse
    Layouts.” <i>Production Engineering and Management</i>, edited by Franz-Josef
    Villmer et al., no. 1, 2018, pp. 233–42.
  short: 'L. Schulze, L. Li, in: F.-J. Villmer, E. Padoano, Department of Production
    Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
    2018, pp. 233–242.'
  ufg: '<b>Schulze, L./Li, Li (2018)</b>: Digitized Planning with Visualization for
    Warehouse Layouts, in: Franz-Josef Villmer et. al. (Hgg.): <i>Production Engineering
    and Management</i>, Lemgo, S. 233–242.'
  van: 'Schulze L, Li L. Digitized Planning with Visualization for Warehouse Layouts.
    In: Villmer F-J, Padoano E, Department of Production Engineering and Management,
    editors. Production Engineering and Management. Lemgo; 2018. p. 233–42.'
conference:
  end_date: 2018-10-05
  location: Lemgo
  name: Proceedings 8th International Conference
  start_date: 2018-10-04
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-13T16:05:34Z
date_updated: 2023-03-15T13:50:00Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Warehouse planning
- Layout configuration
- Labor and investment costs
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf
oa: '1'
page: 233-242
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-03-0
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf
status: public
title: Digitized Planning with Visualization for Warehouse Layouts
type: conference
user_id: '45673'
year: 2018
...
---
_id: '576'
abstract:
- lang: eng
  text: Due to a high level of competition in automotive industry, it is essentially
    important for automotive companies to develop innovative strategies and technologies
    in production and logistics. Postponement of production difference, i.e., customer
    individualized demand has been considered as an innovative strategy and more or
    less implemented in the production process, mostly before and during the final
    assembly. This paper proposed the concept of postponing the individualization
    of some components after the assembly. The idea is to use the idle times especially
    during the distribution process when vehicles are accumulated to generate big
    transportation batches or the follow-up transport does not start immediately.
    The individualization is carried out in specially realized workshops. Objectives
    of the approach are to reduce variations in the manufacturing, to shorten delivery
    times and to give consumers the ability to reorder individual components shortly
    before delivery. This kind of postponement of individualization induces the requirement
    of redesigning the logistics network, which means the selection of workshop locations
    and the new selection of the suppliers for the individualized components. To reach
    this aim, a software tool has been developed. In the tool, the data required in
    the logistics network such as suppliers and workshop potential locations are managed
    in a MySQL database and the optimization of the network is achieved by the especiallydeveloped
    non-dominated sorting genetic algorithm-II (NSGA-II). The design and development
    of the solution individuals and the fitness functions, which are the most important
    elements of a genetic algorithm, are based on the mathematical model of the logistics
    network design with product late individualization. Different scenarios are considered
    and generated to examine the applicability of the methodology in automotive practice.
    The optimization model and the heuristics of genetic algorithm are validated through
    the Pareto solutions for different scenarios.
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
citation:
  ama: 'Li L. Optimization of Automotive Logistics Network with Late Product Individualization.
    In: Padoano E, Villmer F-J, Department of Production Engineering and Management,
    eds. <i>Production Engineering and Management</i>. Publication series in direct
    digital manufacturing . Lemgo; 2017:139-150.'
  apa: Li, L. (2017). Optimization of Automotive Logistics Network with Late Product
    Individualization. In E. Padoano, F.-J. Villmer, &#38; Department of Production
    Engineering and Management (Eds.), <i>Production Engineering and Management</i>
    (pp. 139–150). Lemgo.
  bjps: <b>Li L</b> (2017) Optimization of Automotive Logistics Network with Late
    Product Individualization. In Padoano E, Villmer F-J and Department of Production
    Engineering and Management (eds), <i>Production Engineering and Management</i>.
    Lemgo, pp. 139–150.
  chicago: Li, Li. “Optimization of Automotive Logistics Network with Late Product
    Individualization.” In <i>Production Engineering and Management</i>, edited by
    Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and
    Management, 139–50. Publication Series in Direct Digital Manufacturing . Lemgo,
    2017.
  chicago-de: 'Li, Li. 2017. Optimization of Automotive Logistics Network with Late
    Product Individualization. In: <i>Production Engineering and Management</i>, hg.
    von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering
    and Management, 139–150. Publication series in direct digital manufacturing .
    Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span>: Optimization
    of Automotive Logistics Network with Late Product Individualization. In: <span
    style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Villmer,
    F.-J.</span> ; <span style="font-variant:small-caps;">Department of Production
    Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>,
    <i>Publication series in direct digital manufacturing </i>. Lemgo, 2017, S. 139–150'
  havard: 'L. Li, Optimization of Automotive Logistics Network with Late Product Individualization,
    in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management
    (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 139–150.'
  ieee: L. Li, “Optimization of Automotive Logistics Network with Late Product Individualization,”
    in <i>Production Engineering and Management</i>, Pordenone, Italy, 2017, no. 1,
    pp. 139–150.
  mla: Li, Li. “Optimization of Automotive Logistics Network with Late Product Individualization.”
    <i>Production Engineering and Management</i>, edited by Elio Padoano et al., no.
    1, 2017, pp. 139–50.
  short: 'L. Li, in: E. Padoano, F.-J. Villmer, Department of Production Engineering
    and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp.
    139–150.'
  ufg: '<b>Li, Li (2017)</b>: Optimization of Automotive Logistics Network with Late
    Product Individualization, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering
    and Management</i> (=<i>Publication series in direct digital manufacturing </i>),
    Lemgo, S. 139–150.'
  van: 'Li L. Optimization of Automotive Logistics Network with Late Product Individualization.
    In: Padoano E, Villmer F-J, Department of Production Engineering and Management,
    editors. Production Engineering and Management. Lemgo; 2017. p. 139–50. (Publication
    series in direct digital manufacturing ).'
conference:
  end_date: 2017-09-29
  location: Pordenone, Italy
  name: Proceedings7th International Conference
  start_date: 2017-09-28
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T11:16:07Z
date_updated: 2023-03-15T13:50:01Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
issue: '1'
keyword:
- Automotive industry
- Logistics network configuration
- Late product individualization
- Postponement
- NSGGA
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf
oa: '1'
page: 139-150
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-01-6
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf
series_title: 'Publication series in direct digital manufacturing '
status: public
title: Optimization of Automotive Logistics Network with Late Product Individualization
type: conference
user_id: '45673'
year: 2017
...
---
_id: '586'
abstract:
- lang: eng
  text: Under the circumstance of advanced globalization, it is increasingly difficult
    for production companies to remain competitiveness. Many of them are forced to
    restrict budget and reduce production costs. In addition, the customization of
    product increases continuously. This results in extension of product variation
    and reduction of product life cycle. Therefore, the companies need a high flexibility
    to respond quickly to changes in the market and to customer requirements. Lean
    thinking, as a powerful tool, has been implemented by many companies in production
    and manufacturing. In order to avoid waste in lean manufacturing, it is necessary
    to manage efficiently the material flow. In this study, for a lean material handling
    system in the lean manufacturing of a company, an in-plant milk-run distribution
    system is taken into consideration. The system consistsof vehicles, which move
    periodically in certain routes. The materials are delivered in short intervals
    from a central storage area to several points of use in the production. By using
    milk-run in plant, the material handling processes can be standardized and therefore
    the waste can be eliminated. One additional aim of the study with milk-run distribution
    for the material provision is to minimize the handling time, which determines
    directly the personal costs. In order to realize the aim, the work has beendivided
    into several steps. At first, the production processes, especially the material
    provision for the production have been analyzed. Secondly, the technological solutions
    have been analyzed in order to handle different loading units required by different
    machines in the production. Thirdly, the milk-run distribution for lean production
    is formulated as an optimization problem with the object of minimizing the number
    of vehicles and the distance traveled under the constraints of specific time periods,
    capacity of vehicle and related stations etc. Fourthly, two optimization methods
    are developed in order to find the optimal solution for the milk-run problem and
    the performance of different methods is also compared.
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
- first_name: L.
  full_name: Schulze, L.
  last_name: Schulze
citation:
  ama: 'Li L, Schulze L. In-Plant Milk-Run Distribution for Material Provision Optimization
    in Lean Production. In: Villmer F-J, Padoano E, Department of Production Engineering
    and Management, eds. Lemgo; 2016:65-76.'
  apa: Li, L., &#38; Schulze, L. (2016). In-Plant Milk-Run Distribution for Material
    Provision Optimization in Lean Production. In F.-J. Villmer, E. Padoano, &#38;
    Department of Production Engineering and Management (Eds.) (pp. 65–76). Presented
    at the Proceedings 6th International Conference, Lemgo.
  bjps: <b>Li L and Schulze L</b> (2016) In-Plant Milk-Run Distribution for Material
    Provision Optimization in Lean Production. In Villmer F-J, Padoano E and Department
    of Production Engineering and Management (eds). Lemgo, pp. 65–76.
  chicago: Li, Li, and L. Schulze. “In-Plant Milk-Run Distribution for Material Provision
    Optimization in Lean Production.” edited by Franz-Josef Villmer, Elio Padoano,
    and Department of Production Engineering and Management, 65–76. Lemgo, 2016.
  chicago-de: 'Li, Li und L. Schulze. 2016. In-Plant Milk-Run Distribution for Material
    Provision Optimization in Lean Production. In: , hg. von Franz-Josef Villmer,
    Elio Padoano, und Department of Production Engineering and Management, 65–76.
    Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span> ; <span style="font-variant:small-caps;">Schulze,
    L.</span>: In-Plant Milk-Run Distribution for Material Provision Optimization
    in Lean Production. In: <span style="font-variant:small-caps;">Villmer, F.-J.</span>
    ; <span style="font-variant:small-caps;">Padoano, E.</span> ; <span style="font-variant:small-caps;">Department
    of Production Engineering and Management</span> (Hrsg.): . Lemgo, 2016, S. 65–76'
  havard: 'L. Li, L. Schulze, In-Plant Milk-Run Distribution for Material Provision
    Optimization in Lean Production, in: F.-J. Villmer, E. Padoano, Department of
    Production Engineering and Management (Eds.), Lemgo, 2016: pp. 65–76.'
  ieee: L. Li and L. Schulze, “In-Plant Milk-Run Distribution for Material Provision
    Optimization in Lean Production,” presented at the Proceedings 6th International
    Conference, Lemgo, 2016, no. 1, pp. 65–76.
  mla: Li, Li, and L. Schulze. <i>In-Plant Milk-Run Distribution for Material Provision
    Optimization in Lean Production</i>. Edited by Franz-Josef Villmer et al., no.
    1, 2016, pp. 65–76.
  short: 'L. Li, L. Schulze, in: F.-J. Villmer, E. Padoano, Department of Production
    Engineering and Management (Eds.), Lemgo, 2016, pp. 65–76.'
  ufg: '<b>Li, Li/Schulze, L. (2016)</b>: In-Plant Milk-Run Distribution for Material
    Provision Optimization in Lean Production, in: Franz-Josef Villmer et. al. (Hgg.):
    , Lemgo, S. 65–76.'
  van: 'Li L, Schulze L. In-Plant Milk-Run Distribution for Material Provision Optimization
    in Lean Production. In: Villmer F-J, Padoano E, Department of Production Engineering
    and Management, editors. Lemgo; 2016. p. 65–76.'
conference:
  end_date: 2019-09-30
  location: Lemgo
  name: Proceedings 6th International Conference
  start_date: 2016-09-29
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T14:39:16Z
date_updated: 2023-03-15T13:50:02Z
department:
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Milk-Run
- Material provision
- Lean production
- Genetic algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
oa: '1'
page: 65-76
place: Lemgo
publication_identifier:
  isbn:
  - 978-3-946856-00-9
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
status: public
title: In-Plant Milk-Run Distribution for Material Provision Optimization in Lean
  Production
type: conference
user_id: '45673'
year: 2016
...
---
_id: '593'
abstract:
- lang: eng
  text: Due to the increased individualization of customer demands in the last 20
    years, the production systems are required to be more flexible and scalable. It
    is the samefor the material flow system with automated guided vehicles (AGVs).
    To realize the flexibility and scalability, it is recommended to decentralized
    control the vehicles. As an attempt, a concept of swarm intelligence with Radio
    Frequency Identification (RFID) is proposed and introduced in this article. The
    concept is supposed to be used for automated guided vehicle systems in which objects
    have to be transported from place to place. Therefore the object has to be self-organized
    and has to manage its own transport. In this context the vehicles have to choose
    the most optimal transportation. Swarm intelligence is a topic which deserves
    a high level of attention as a method to realize high flexibility and scalability.
author:
- first_name: Alisa Maria
  full_name: Cantauw, Alisa Maria
  id: '56638'
  last_name: Cantauw
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
citation:
  ama: 'Cantauw AM, Li L. Application of Swarm Intelligence for Automated Guided Vehicle
    Systems. In: Villmer F-J, Padoano E, Department of Production Engineering and
    Management, eds. <i>Department of Production Engineering and Management</i>. Lemgo;
    2016:133-143.'
  apa: Cantauw, A. M., &#38; Li, L. (2016). Application of Swarm Intelligence for
    Automated Guided Vehicle Systems. In F.-J. Villmer, E. Padoano, &#38; Department
    of Production Engineering and Management (Eds.), <i>Department of Production Engineering
    and Management</i> (pp. 133–143). Lemgo.
  bjps: <b>Cantauw AM and Li L</b> (2016) Application of Swarm Intelligence for Automated
    Guided Vehicle Systems. In Villmer F-J, Padoano E and Department of Production
    Engineering and Management (eds), <i>Department of Production Engineering and
    Management</i>. Lemgo, pp. 133–143.
  chicago: Cantauw, Alisa Maria, and Li Li. “Application of Swarm Intelligence for
    Automated Guided Vehicle Systems.” In <i>Department of Production Engineering
    and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department
    of Production Engineering and Management, 133–43. Lemgo, 2016.
  chicago-de: 'Cantauw, Alisa Maria und Li Li. 2016. Application of Swarm Intelligence
    for Automated Guided Vehicle Systems. In: <i>Department of Production Engineering
    and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department
    of Production Engineering and Management, 133–143. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Cantauw, Alisa Maria</span>
    ; <span style="font-variant:small-caps;">Li, Li</span>: Application of Swarm Intelligence
    for Automated Guided Vehicle Systems. In: <span style="font-variant:small-caps;">Villmer,
    F.-J.</span> ; <span style="font-variant:small-caps;">Padoano, E.</span> ; <span
    style="font-variant:small-caps;">Department of Production Engineering and Management</span>
    (Hrsg.): <i>Department of Production Engineering and Management</i>. Lemgo, 2016,
    S. 133–143'
  havard: 'A.M. Cantauw, L. Li, Application of Swarm Intelligence for Automated Guided
    Vehicle Systems, in: F.-J. Villmer, E. Padoano, Department of Production Engineering
    and Management (Eds.), Department of Production Engineering and Management, Lemgo,
    2016: pp. 133–143.'
  ieee: A. M. Cantauw and L. Li, “Application of Swarm Intelligence for Automated
    Guided Vehicle Systems,” in <i>Department of Production Engineering and Management</i>,
    Lemgo, 2016, no. 1, pp. 133–143.
  mla: Cantauw, Alisa Maria, and Li Li. “Application of Swarm Intelligence for Automated
    Guided Vehicle Systems.” <i>Department of Production Engineering and Management</i>,
    edited by Franz-Josef Villmer et al., no. 1, 2016, pp. 133–43.
  short: 'A.M. Cantauw, L. Li, in: F.-J. Villmer, E. Padoano, Department of Production
    Engineering and Management (Eds.), Department of Production Engineering and Management,
    Lemgo, 2016, pp. 133–143.'
  ufg: '<b>Cantauw, Alisa Maria/Li, Li (2016)</b>: Application of Swarm Intelligence
    for Automated Guided Vehicle Systems, in: Franz-Josef Villmer et. al. (Hgg.):
    <i>Department of Production Engineering and Management</i>, Lemgo, S. 133–143.'
  van: 'Cantauw AM, Li L. Application of Swarm Intelligence for Automated Guided Vehicle
    Systems. In: Villmer F-J, Padoano E, Department of Production Engineering and
    Management, editors. Department of Production Engineering and Management. Lemgo;
    2016. p. 133–43.'
conference:
  end_date: 2016-09-30
  location: Lemgo
  name: Proceedings 6th International Conference
  start_date: 2016-09-29
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T15:32:10Z
date_updated: 2023-03-15T13:50:03Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Swarm  intelligence
- Automated  guided  vehicle  system
- RFID
- Internet  of things
- Multi-agent system
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
oa: '1'
page: 133-143
place: Lemgo
publication: Department of Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-00-9
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
status: public
title: Application of Swarm Intelligence for Automated Guided Vehicle Systems
type: conference
user_id: '45673'
year: 2016
...
---
_id: '599'
abstract:
- lang: eng
  text: "Order picking has long been identified as the most labor costly and intensively
    activity in warehouse management. The orders from the customers need to be fulfilled
    tightly and timely. In order to keep the required high service level, the warehouse
    has to increase the picking productivity under the constraints of limited capacity.
    This paper concerns a man-togoods order picking system, in which the order pickers
    have to drive with a pallet jack to the storage locations. Considering that the
    orders are mostly small orders which consist of less lines, it is efficient to
    combine severalsingle customer orders into one picking order. Under this circumstance,
    this paper intends to answer the question of how customer orders should be grouped
    into picking orders with the aim of minimizing the total travel length through
    the warehouse. Consequently the productivity of the order picking system can be
    improved. An optimization problem for order batching is introduced. The optimization
    method of order batching is then proposed. Based on the simulation of different
    scenarios of incoming orders, it can be concluded that the developed method is
    effective in improving the productivity of the concerned order picking system.\r\n"
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
- first_name: L.
  full_name: Schulze, L.
  last_name: Schulze
citation:
  ama: 'Li L, Schulze L. Improving the Productivity of a Man-to-Goods Order Picking
    System through Optimization of Order Batching. In: Padoano E, Villmer F-J, Department
    of Production Engineering and Management, eds. <i>Production Engineering and Management</i>.
    Lemgo; 2015:319-326.'
  apa: Li, L., &#38; Schulze, L. (2015). Improving the Productivity of a Man-to-Goods
    Order Picking System through Optimization of Order Batching. In E. Padoano, F.-J.
    Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production
    Engineering and Management</i> (pp. 319–326). Lemgo.
  bjps: <b>Li L and Schulze L</b> (2015) Improving the Productivity of a Man-to-Goods
    Order Picking System through Optimization of Order Batching. In Padoano E, Villmer
    F-J and Department of Production Engineering and Management (eds), <i>Production
    Engineering and Management</i>. Lemgo, pp. 319–326.
  chicago: Li, Li, and L. Schulze. “Improving the Productivity of a Man-to-Goods Order
    Picking System through Optimization of Order Batching.” In <i>Production Engineering
    and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department
    of Production Engineering and Management, 319–26. Lemgo, 2015.
  chicago-de: 'Li, Li und L. Schulze. 2015. Improving the Productivity of a Man-to-Goods
    Order Picking System through Optimization of Order Batching. In: <i>Production
    Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und
    Department of Production Engineering and Management, 319–326. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span> ; <span style="font-variant:small-caps;">Schulze,
    L.</span>: Improving the Productivity of a Man-to-Goods Order Picking System through
    Optimization of Order Batching. In: <span style="font-variant:small-caps;">Padoano,
    E.</span> ; <span style="font-variant:small-caps;">Villmer, F.-J.</span> ; <span
    style="font-variant:small-caps;">Department of Production Engineering and Management</span>
    (Hrsg.): <i>Production Engineering and Management</i>. Lemgo, 2015, S. 319–326'
  havard: 'L. Li, L. Schulze, Improving the Productivity of a Man-to-Goods Order Picking
    System through Optimization of Order Batching, in: E. Padoano, F.-J. Villmer,
    Department of Production Engineering and Management (Eds.), Production Engineering
    and Management, Lemgo, 2015: pp. 319–326.'
  ieee: L. Li and L. Schulze, “Improving the Productivity of a Man-to-Goods Order
    Picking System through Optimization of Order Batching,” in <i>Production Engineering
    and Management</i>, Trieste, Italy, 2015, no. 1, pp. 319–326.
  mla: Li, Li, and L. Schulze. “Improving the Productivity of a Man-to-Goods Order
    Picking System through Optimization of Order Batching.” <i>Production Engineering
    and Management</i>, edited by Elio Padoano et al., no. 1, 2015, pp. 319–26.
  short: 'L. Li, L. Schulze, in: E. Padoano, F.-J. Villmer, Department of Production
    Engineering and Management (Eds.), Production Engineering and Management, Lemgo,
    2015, pp. 319–326.'
  ufg: '<b>Li, Li/Schulze, L. (2015)</b>: Improving the Productivity of a Man-to-Goods
    Order Picking System through Optimization of Order Batching, in: Elio Padoano
    et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 319–326.'
  van: 'Li L, Schulze L. Improving the Productivity of a Man-to-Goods Order Picking
    System through Optimization of Order Batching. In: Padoano E, Villmer F-J, Department
    of Production Engineering and Management, editors. Production Engineering and
    Management. Lemgo; 2015. p. 319–26.'
conference:
  end_date: 2015-10-02
  location: Trieste, Italy
  name: Proceedings5th International Conference
  start_date: 2015-10-01
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-19T07:34:56Z
date_updated: 2023-03-15T13:50:03Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
issue: '1'
keyword:
- Order picking
- man-to-goods
- order batching
- picking productivity
- genetic algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
oa: '1'
page: 319-326
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-941645-11-0
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf
status: public
title: Improving the Productivity of a Man-to-Goods Order Picking System through Optimization
  of Order Batching
type: conference
user_id: '45673'
year: 2015
...