@inbook{13282,
abstract = {{Green infrastructure is a novel approach to landscape planning. Its innovation potentials lie in the comprehensive view of nature and landscape, which includes ecological, socio-cultural, aesthetic, and economic aspects and addresses diverse socio-political goals such as climate change or social cohesion. The broadly based and in parts vague concept offers opportunities precisely because of the possibilities for interpretation to discuss and integrate the development of landscapes from different perspectives. Therefore, the planning and implementation of green infrastructure requires participatory approaches that involve various disciplines and interest groups as well as consider and promote civic engagement.}},
author = {{Pauleit, Stephan and Hansen, Rieke and van Lierop, Martina and Rall, Emily L. and Rolf, Werner}},
booktitle = {{Landscape Handbook : German Language Research Perspectives}},
editor = {{Kühne, Olaf and Weber, Florian and Berr, Karsten and Jenal, Corinna}},
isbn = {{978-3-031-83146-1}},
issn = {{2731-4510}},
keywords = {{Landscape planning, Multifunctionality, Connectivity, Integration, Participatory planning}},
pages = {{991–1002}},
publisher = {{Springer Nature Switzerland}},
title = {{{Green Infrastructure and Landscape}}},
doi = {{10.1007/978-3-031-83147-8_88}},
year = {{2025}},
}
@misc{13675,
abstract = {{This paper extends a previously developed biobjective Mixed-Integer Linear Programming (MILP) methodology for reducing electricity costs and CO2 emissions in Smart-E-Factory applications. While the earlier approach assumed fixed photovoltaic (PV) and battery capacities, we now propose a cascaded optimization framework to determine the optimal sizing (power rating and orientation of the PV system, battery capacity) while simultaneously optimizing battery dispatch. The cost function combines operational costs with amortized investment costs of both PV and battery systems, embedded in a dynamic scheduling optimization that addresses real-time electricity price and CO2 signals. Numerical results indicate that intermediate capacities and balanced east/west orientation maximize cost-effectiveness and emission reductions. This study underscores the value of coupling parametric design and dispatch optimization to achieve scalable, sustainable solutions for industrial energy systems.}},
author = {{Mousavi, Seyed Davood and Schulte, Thomas}},
booktitle = {{ 6th International Conference on Electrical, Communication and Computer Engineering (ICECCE 2025) : 27-28 August 2025, Istanbul, Türkiye}},
isbn = {{979-8-3315-4915-2 }},
keywords = {{Photovoltaic systems, Cost, Electricity, Tariffs, Stochastic processes, Real-time systems, Robustness, Batteries, Planning, Mixed integer linear programming}},
location = {{Istanbul, Turkiye }},
publisher = {{IEEE}},
title = {{{Cascaded Optimization of PV and Battery Sizing Under Dynamic Cost and CO Signals}}},
doi = {{10.1109/icecce67514.2025.11257982}},
year = {{2025}},
}
@misc{13003,
abstract = {{In light of the rising importance of data transparency and open data guidelines (e.g. OGP Local1), Open Data Portals became standard in Smart City strategies (Van Oosterhout et al. 2020). While it is clear that these tools can serve as a valuable way for internal administration processes, at the same time it is critical that data is not only openly available following standard formats limited to computer-readability but above all also largely understandable for average citizens. For this reason, it is researched how open data can not only be made available but also visualized in an accessible way to all citizens. Moreover, the aim is to simultaneously boost private behavior changes which are inevitable to achieve locally-set goals in sustainability (Barr et al. 2011, TWI 2050 2018). To do so, we draw on the principle of nudging. Following
the tradition of behavioral economics, nudging is defined as a positive intervention that induces a voluntary change in behavior without resulting in external (negative) consequences (Thaler & Sunstein 2008) and thus contrasting interventions like commands or bans because freedom of choice is maintained (Mongin & Cozic 2020, Ranchordás 2020).
This paper discusses an installation that explored the potential of combining nudging and situated visualization to improve data transparency and support individual decision-making in urban public spaces. During the Detmold Design Week 2023, an event showcasing creative works in various locations, the visitor numbers at nine locations were captured using computer vision. Visitors then received on-site suggestions in real-time for the next place to visit based on the occupancy. A survey was conducted to evaluate visitors’ willingness to follow these data-informed suggestions. Findings highlight the importance of balancing between simplicity, relevance and privacy in data visualization. The results of the field test provide the foundation for the installation of interactive interfaces in Detmold's public spaces in the next years, in particular for communicating smart city topics focusing on mobility and urban climate protection.}},
author = {{Licht, Mareile and Barbosa Jardim, Amanda and Müh, Maximilian and Häusler, Axel}},
booktitle = {{Keep on Planning for the Real World. Climate Change calls for Nature-based Solutions and Smart Technologies : Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society }},
editor = {{Schrenk, Manfred and Popovich, Tatiana and Zeile, Peter and Elisei, Pietro and Beyer, Clemens and Ryser, Judith and Kaufmann, Hans Rüdiger}},
issn = {{2521-3938}},
keywords = {{Situated Visualisation, Nudging, Planning, Computer Vision, Human-computer interaction}},
location = {{Mannheim}},
pages = {{645--653}},
publisher = {{CORP - Competence Center of Urban and Regional Planning }},
title = {{{The Use of Situated Visualized Data to Nudge Visitor’s Paths: a Case Study at the Detmold Design Week 2023}}},
doi = {{10.48494/REALCORP2024.9052}},
year = {{2024}},
}
@misc{12009,
abstract = {{AbstractTraditional work models often need more flexibility and time autonomy for employees, especially in manufacturing. Quantitative approaches and Artificial Intelligence (AI) applications offer the potential to improve work design. However, current research does not entirely focus on human-centric criteria that enable time autonomy. This paper addresses this gap by developing a set of criteria to evaluate intelligent personnel planning approaches based on their ability to enhance time autonomy for employees. Existing quantitative approaches are not sufficient to fully integrate the developed criteria.Consequently, a novel model approach is proposed in an attempt to bridge the gap between current practices and the newly developed criteria. This two-stage planning approach fosters democratization of time autonomy on the shopfloor, moving beyond traditional top-down scheduling. The paper concludes by outlining the implementation process and discusses future developments with respect to AI for this model approach.Practical Relevance: In order to make working conditions on the shopfloor in high-wage countries more attractive, an alternative organization of shift work is needed. Intelligent planning approaches that combine traditional operations research methods with artificial intelligence approaches can democratize shift organization regarding time autonomy. Planning that takes both employee and employer preferences into account in a balanced way will strengthen the long-term competitiveness of manufacturing companies in high-wage countries and counteract the shortage of skilled labor.}},
author = {{Latos, Benedikt and Buckhorst, Armin and Kalantar, Peyman and Bentler, Dominik and Gabriel, Stefan and Dumitrescu, Roman and Minge, Michael and Steinmann, Barbara and Guhr, Nadine}},
booktitle = {{Zeitschrift für Arbeitswissenschaft}},
issn = {{2366-4681}},
keywords = {{Personnel Planning, Time Autonomy, Human-Centric Optimization, Artificial Intelligence, Manufacturing}},
number = {{3}},
pages = {{277--298}},
publisher = {{Springer-Verlag GmbH}},
title = {{{Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective }}},
doi = {{10.1007/s41449-024-00432-7}},
volume = {{78}},
year = {{2024}},
}
@misc{12795,
abstract = {{Including disabled workers in value-creating work processes is a fundamental and guaranteed human right and is, therefore, an essential goal of society. In Germany, sheltered workshops create the conditions for this inclusion since they are essential to companies' value chains. A central challenge is the inclusion of disabled workers in the value-creation processes, such as in manufacturing or assembly areas. The skills of disabled workers vary since they have individual impairments. Therefore, this paper presents a digital human model, a Human Digital Twin (HDT), for disabled workers. The model maps their skills and supports the production planning and assembly processes. (C) 2024 The Authors. Published by Elsevier B.V.}},
author = {{Mordaschew, Viktoria and Duckwitz, Sönke and Tackenberg, Sven}},
booktitle = {{5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)}},
editor = {{Longo, F. and Shen, W. and Padovano, A.}},
issn = {{1877-0509}},
keywords = {{Human Digital Twin, Industry 4.0, Sheltered Workshops, Production Planning}},
location = {{Lisbon, PORTUGAL}},
pages = {{745--751}},
publisher = {{Elsevier BV}},
title = {{{A Human Digital Twin of Disabled Workers for Production Planning}}},
doi = {{10.1016/j.procs.2024.01.074}},
volume = {{232}},
year = {{2024}},
}
@misc{13021,
abstract = {{Natural ventilation in a building is an effective way to achieve acceptable indoor air quality. Ventilation dilutes contaminants such as bioeffluents generated by occupants, substances emitted from building materials, and the water vapor generated by occupants’ activities. In a building that requires heating and cooling, adequate ventilation is crucial to minimize energy consumption while maintaining healthy indoor air quality. However, measuring the actual magnitude of the natural ventilation rate, including infiltration through the building envelope and airflow through the building openings, is not always feasible. Although international and national standards suggested the required ventilation rates to maintain acceptable indoor air quality in buildings, they did not offer action plans to achieve or evaluate those design ventilation rates in buildings in use. In this study, the occupant-generated carbon dioxide (CO2) tracer gas decay method was applied to estimate the ventilation rates in an office room in Seoul, South Korea, from summer to winter. Using the method, real-time ventilation rates can be calculated by monitoring indoor and outdoor CO2 concentrations without injecting a tracer gas. For natural ventilation in the test room, 145 mm-diameter circular openings on the fixed glass were used. As a result, first, the indoor CO2 concentrations were used as an indicator to evaluate how much the indoor air quality deteriorated when all the windows were closed in an occupied office room compared to the international standards for indoor air quality. Moreover, we found out that the estimated ventilation rates varied depending on various environmental conditions, even with the same openings for natural ventilation. Considering the indoor and outdoor temperature differences and outdoor wind speeds as the main factors influencing the ventilation rates, we analyzed how they affected the ventilation rates in the different seasons of South Korea. When the wind speeds were calm, less than 2 m/s, the temperature difference played as a factor that influenced the estimated ventilation rates. On the other hand, when the temperature differences were low, less than 3 °C, the wind speed was the primary factor. This study raises awareness about the risk of poor indoor air quality in office rooms that could lead to health problems or unpleasant working environments. This study presents an example of estimating the ventilation rates in an existing building. By using the presented method, the ventilation rate in an existing building can be simply estimated while using the building as usual, and appropriate ventilation strategies for the building can be determined to maintain the desired indoor air quality.}},
author = {{Seol, Hyeonji and Arztmann, Daniel and Kim, Naree and Balderrama, Alvaro}},
booktitle = {{Sustainability}},
issn = {{2071-1050}},
keywords = {{Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Building and Construction}},
number = {{13}},
publisher = {{MDPI}},
title = {{{Estimation of Natural Ventilation Rates in an Office Room with 145 mm-Diameter Circular Openings Using the Occupant-Generated Tracer-Gas Method}}},
doi = {{10.3390/su15139892}},
volume = {{15}},
year = {{2023}},
}
@misc{11278,
abstract = {{PurposeHousing interventions carried out in accordance with current regulations in the Old City of Aleppo, both before and after the Syrian war, are minor in comparison to those carried out without a license and illegally. This suggests current policies are inadequate and needs upgrading.Design/methodology/approachThis article critically reviews current Syrian policies and their implementation on residential heritage in the Old City of Aleppo with the aim to identify gaps and propose directions for modifications. Next to a review of the text of official policies and implementation documents, the archive of the Directorate of the Old City has been consulted and license applications, presented in the period 2018–2022, have been examined. Moreover, interviews with decision-makers from academics and practice were conducted.FindingsMajor limitations of these policies and relative application procedures have been identified: these involve: legal/administrative, economic and social aspects.Originality/valueThe specific needs have been highlighted and some proposals for improvement made.}},
author = {{Kousa, Christine and Lubelli, Barbara and Pottgiesser, Uta}},
booktitle = {{Journal of Cultural Heritage Management and Sustainable Development}},
issn = {{2044-1266}},
keywords = {{Urban Studies, General Business, Management and Accounting, Geography, Planning and Development, Conservation}},
publisher = {{Emerald}},
title = {{{Historic development of policies and regulations concerning residential heritage in the Old City of Aleppo}}},
doi = {{10.1108/jchmsd-05-2022-0072}},
year = {{2023}},
}
@misc{7147,
abstract = {{Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model.
Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Additionally, we give a summary of each reviewed publication.
Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. We propose future research directions for the unexplored tasks and functions of the Aachen PPC model.
Research limitations/implications: The selection of search terms and the texts' interpretation is based on an individual assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently.
Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0.}},
author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Gamber, Thilo}},
booktitle = {{Journal of Industrial Engineering and Management}},
issn = {{2013-0953}},
keywords = {{Production planning and control, Industry 4.0, Industrial Internet of Things, Exploratory literature review}},
number = {{1}},
publisher = {{ OmniaScience}},
title = {{{Approaches of production planning and control under industry 4.0: A literature review}}},
doi = {{http://dx.doi.org/10.3926/jiem.3582}},
volume = {{15}},
year = {{2022}},
}
@inbook{7944,
abstract = {{Groundwater over-pumping by manipulating water meters may constraint the efficient use of the resource, leading to the potential aquifers’ deterioration. Well designed institutional arrangements might be effective at reducing over-exploitation. The objective of this research was to shed light on the design of various incentive schemes to face groundwater over-pumping ranging from individual water use-based incentive schemes, where individual withdrawals are the users’ private information, to total water use-based incentive schemes, where the aggregate withdrawal is publicly observable. For the latter setting, two schemes were proposed. The first one is within the framework of moral hazard in teams, where the Water Authority administers monetary incentives that do not balance the budget, restoring thereby the full-information outcome. The second scheme promotes a cooperative management governed by a collective responsibility rule that induces peer monitoring by members. We show that groundwater overuse is more likely when monitoring costs are high, punishments are weak and cooperatives are large. We also show how the cooperative size and punishments are determined endogenously by constraints on monitoring. We extend the basic analysis to study collusion in monitoring between cooperative members and compare different monitoring structures. The results confirm that well-designed incentives and institutions can reduce groundwater over-exploitation, and that constraints on monitoring costs affect institutional design.}},
author = {{Harro, Stolpe and Ha, Nguyen Ngoc and Jolk, Christian}},
booktitle = {{Water Conservation - Inevitable Strategy}},
editor = {{Eyvaz, Murat and Albahnasawi, Ahmed and Gürbulak, Ercan and Yüksel, Ebubekir}},
isbn = {{978-1-80355-036-7}},
keywords = {{regional water and land use planning, Mekong Delta : Olifants River}},
publisher = {{IntechOpen}},
title = {{{Regional Water and Land Use Planning – Systematic Planning Support}}},
doi = {{10.5772/intechopen.102713}},
year = {{2022}},
}
@article{10645,
abstract = {{Artificial Intelligence (AI)-based applications promise great potential benefits for companies. However, an isolated consideration of the technical system is not sufficient for the design. Rather, it is necessary to design the entire work system taking into account the socio-technical system approach. This enables the combination of the strengths of people and intelligent systems. This paper presents an approach for a socio-technical requirements elicitation in the design of AI-based systems by adapting the HTO-analysis. First, a mission statement is developed. Based on a detailed process modelling, existing data and systems are recorded. In addition, all relevant stakeholder groups are included by conducting interviews and surveys. Thus, the procedure enables the derivation of a comprehensive catalogue of requirements. The application of the approach is illustrated by using an example from industrial practice, the design of an intelligent workforce planning system.}},
author = {{Gabriel, Stefan and Bentler, Dominik and Grote, Eva-Maria and Junker, Caroline and Wendischhoff, David Meyer zu and Bansmann, Michael and Latos, Benedikt and Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
issn = {{2212-8271}},
journal = {{Procedia CIRP}},
keywords = {{socio-technial design socio-technial design, requirements elicitation, AI-human-collaboration, work design : workforce planning requirements elicitation AI-human-collaboration work design workforce planning}},
pages = {{431--436}},
publisher = {{Elsevier BV}},
title = {{{Requirements analysis for an intelligent workforce planning system: a socio-technical approach to design AI-based systems}}},
doi = {{10.1016/j.procir.2022.05.274}},
volume = {{109}},
year = {{2022}},
}
@proceedings{8437,
abstract = {{Low voltage direct current microgrids (DC-MG) provide a solution for increased efficiency by the reduction of conversion losses, total reuse of recuperation energy and an increased share of local power generation. Especially industrial applications ask for high uptimes and a stable voltage supply, which are both at stake in a power grid dominated by renewable generation. DC-MGs overcome these drawbacks by balancing energy distribution and power demand locally. For the planning and design of these grids a systemic approach is needed, due to the fact that many components are interacting. The task arises of structuring the knowledge available for individual technologies in an overall design framework. For this purpose, current state-of-the-art design processes are discussed in this article. These processes are mapped into the context of the requirements in an industrial environment. The findings are transferred to the design of industrial DC networks. Finally, a complete design process for DC-MGs is derived, which is proposed as a basis for the development of tools.}},
editor = {{Schaab, Darian and Spanier, Patrick and Ehlich , Martin and Fosselmann, Eric }},
isbn = {{978-1-6654-4042-4}},
keywords = {{Renewable energy sources, Power demand, Process control, Voltage, Robustness, Planning, Stakeholders}},
location = {{ Macau, Macao }},
publisher = {{IEEE}},
title = {{{Design Framework for Multiple Infeed DC-Microgrids in Industrial Applications}}},
doi = {{10.1109/CEECT53198.2021.9672633}},
year = {{2022}},
}
@article{9356,
abstract = {{In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance.}},
author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Hartlief, Jörg and Rautenstengel, Jens and Loeser, Christine and Böhme, Jörg }},
issn = {{1877-0509 }},
journal = {{Procedia Computer Science}},
keywords = {{Data Quality Assessment, Advanced Planning, Scheduling, Bayesian Network, Enterprise Resource Planning}},
pages = {{194--204}},
publisher = {{Elsevier}},
title = {{{An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks}}},
doi = {{https://doi.org/10.1016/j.procs.2022.01.218}},
volume = {{200}},
year = {{2022}},
}
@inbook{13300,
abstract = {{Die Energiewende und die Erreichung der politisch formulierten und gesellschaftlich gewollten Umweltschutzziele bedarf zukunftstauglicher Planungswerkzeuge, die sowohl die übergeordnete Verwaltungsperspektive als auch die Perspektive der individuellen Nachbarschaften vor Ort berücksichtigen. Im Idealfall sollten diese beiden Perspektiven zu einem gemeinsamen Interessenmanagement zusammengeführt werden. Folglich stellen der Informationserwerb und das Erlernen der relevanten Zusammenhänge und Wechselwirkungen entscheidende Faktoren zum Gelingen dieses Transformationsprozesses dar. Das webbasierte Tool myField soll es den Bürger*innen ermöglichen, im persönlichen Wohnumfeld projektorientierte Maßnahmen zur Erzeugung umweltschutzorientierter Energievorhaben zu projektieren und durch Simulations- und Eigenabschätzungsverfahren eine Optimierung solcher Projektideen vorzunehmen. myField bietet neben der computerspiel-ähnlichen 3D-Welt zusätzlich eine Cloud-Plattform zur Kommunikation kollaborativer Ideen und zur Vernetzung zwischen den Akteur*innen. myField wurde vom Forschungsschwerpunkt nextPlace der Technischen Hochschule Ostwestfalen-Lippe in Kooperation mit der Arbeitsgruppe GIS des Geografischen Instituts der Universität Bonn als interaktive Softwareapplikation auf Basis der Gaming-Engine Unity3D entwickelt. Die ersten Arbeitsschritte beinhalteten Literatur- und Software-Recherchen zur inhaltlichen Positionierung. Die Kernarbeit bestand aus der Programmierung des Software-Prototypen und der Implementierung amtlicher Geodateninfrastrukturen. Die Entwicklungsarbeit wurde gefördert durch die Deutsche Bundesstiftung Umwelt (DBU), begleitet durch Expertengespräche, Rückkopplungen mit Fachvertretern der Beispielumgebung LEADER-Region Nordlippe und einzelnen Anwendertests.}},
author = {{Dally, Benjamin and Henning, Kai-Fabian and Oldenburg, Carsten and Häusler, Axel and Greve, Klaus and Kühle, Sebastian}},
booktitle = {{Flächennutzungsmonitoring XIII: Flächenpolitik - Konzepte - Analysen - Tools}},
isbn = {{978-3-944101-79-8}},
keywords = {{Raumplanung, spatial planning, Partizipation, participation, Flächennutzung, area utilization, Umweltschutz, environmental protection, Simulation, simulation, Bundesrepublik Deutschland, Federal Republic of Germany}},
location = {{Dresden}},
pages = {{293--302}},
publisher = {{Rhombos-Verlag}},
title = {{{myField: Ein webbasiertes Partizipations-Tool zur Simulation und Eigenabschätzung nachbarschaftlicher Energie- und Umweltschutzvorhaben}}},
doi = {{https://doi.org/10.26084/13dfns-p027}},
volume = {{79}},
year = {{2021}},
}
@article{7033,
abstract = {{Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This paper conducts an exploratory literature review by reviewing 48 publications on a full-text basis. Based on the review, a cyber-physical PPC architecture is proposed, which incorporates current Industry 4.0 technologies, current optimisation methods, optimisation objectives, and disturbances, relevant for the realisation of a PPC system in a smart factory. A classification scheme is developed as a basis for two cluster analyses that reveal researched and unexplored tasks and functions of the Aachen PPC model. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. Future research directions are proposed for the unexplored tasks and functions of the Aachen PPC model.}},
author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Gamber, Thilo}},
issn = {{1877-0509}},
journal = {{Procedia Computer Science}},
keywords = {{Production planning, control, Industry 4.0, Industrial Internet of Things, Exploratory literature review}},
pages = {{208--218}},
publisher = {{Elsevier}},
title = {{{A literature review and cluster analysis of the Aachen production planning and control model under Industry 4.0}}},
doi = {{10.1016/j.procs.2021.01.158}},
volume = {{180}},
year = {{2021}},
}
@inbook{4183,
abstract = {{The localization of employees in the industrial environment plays a major role in the development of future intelligent user interfaces and systems. Yet, localizing people also raises ethical, legal and social issues. While a precise localization is essential for context-aware systems and real-time optimization of processes, a permanently high localization accuracy creates opportunities for surveillance and therefore has a negative impact on workplace privacy. In this paper, we propose a new concept of a multi-level localization system which tries to find a way to meet both the technical requirements for a localization with a high accuracy as well as the interests of employees in terms of privacy. Depending on the users’ location, different localization technologies are used, that restrict the accuracy to the least required level by design. Furthermore, we present a prototypical implementation of the concept that shows the feasibility of our multi-level localization concept. Using this system, intelligent systems become able to react on employees based on their location without permanently monitoring the precise user location. }},
author = {{Heinz, Mario and Büttner, Sebastian and Wegerich, Martin and Marek, Frank and Röcker, Carsten}},
booktitle = {{Distributed, Ambient and Pervasive Interactions: Understanding Humans: 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15–20, 2018, Proceedings, Part I }},
editor = {{Streitz, Norbert and Konomi, Shin’ichi}},
isbn = {{978-3-319-91130-4}},
keywords = {{Indoor localization, Intelligent user interface, Process planning}},
location = {{Las Vegas, NV, USA}},
pages = {{3--47}},
publisher = {{Springer}},
title = {{{A Multi-level Localization System for Intelligent User Interfaces}}},
doi = {{10.1007/978-3-319-91131-1_3}},
volume = {{10921}},
year = {{2018}},
}
@inproceedings{560,
abstract = {{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 = {{Schulze, L. and Li, Li}},
booktitle = {{Production Engineering and Management}},
editor = {{Villmer, Franz-Josef and Padoano, Elio}},
isbn = {{978-3-946856-03-0}},
keywords = {{Warehouse planning, Layout configuration, Labor and investment costs}},
location = {{Lemgo}},
number = {{1}},
pages = {{233--242}},
title = {{{Digitized Planning with Visualization for Warehouse Layouts}}},
year = {{2018}},
}
@inproceedings{486,
abstract = {{Growing market demands on enterprises and the resulting challenges for their organization have been discussed for many years now. The flexibilty and mutability of an enterprise are thereby considered as a significant factor for success.}},
author = {{Zülch, Gert and Gamber, Thilo Gerhard and Stock, Patricia}},
booktitle = {{Advances in Production Management Systems}},
editor = {{Olhager, Jan and Persson, Fredrik}},
isbn = {{978-0-387-74157-4}},
keywords = {{production planning and control, decision-making system, personnel-oriented simulation}},
location = {{Linköping}},
pages = {{337--344}},
publisher = {{Springer}},
title = {{{Methodology for the Analysis of Simulation-Based Decision-Making in the Manufacturing Area}}},
year = {{2007}},
}