---
_id: '13675'
abstract:
- lang: eng
text: 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:
- first_name: Seyed Davood
full_name: Mousavi, Seyed Davood
id: '79148'
last_name: Mousavi
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
citation:
ama: Mousavi SD, Schulte T. Cascaded Optimization of PV and Battery Sizing Under
Dynamic Cost and CO Signals. (University of Buner, Pakistan; Altinbas University,
Türkiye , ICECCE, eds.). IEEE; 2025. doi:10.1109/icecce67514.2025.11257982
apa: 'Mousavi, S. D., & Schulte, T. (2025). Cascaded Optimization of PV and
Battery Sizing Under Dynamic Cost and CO Signals. In University of Buner, Pakistan;
Altinbas University, Türkiye & ICECCE (Eds.), 6th International Conference
on Electrical, Communication and Computer Engineering (ICECCE 2025) : 27-28 August
2025, Istanbul, Türkiye. IEEE. https://doi.org/10.1109/icecce67514.2025.11257982'
bjps: 'Mousavi SD and Schulte T (2025) Cascaded Optimization of PV and
Battery Sizing Under Dynamic Cost and CO Signals, University of Buner, Pakistan;
Altinbas University, Türkiye and ICECCE (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Mousavi, Seyed Davood, and Thomas Schulte. Cascaded Optimization of
PV and Battery Sizing Under Dynamic Cost and CO Signals. Edited by University
of Buner, Pakistan; Altinbas University, Türkiye and ICECCE. 6th International
Conference on Electrical, Communication and Computer Engineering (ICECCE 2025) :
27-28 August 2025, Istanbul, Türkiye. [Piscataway, NJ]: IEEE, 2025. https://doi.org/10.1109/icecce67514.2025.11257982.'
chicago-de: 'Mousavi, Seyed Davood und Thomas Schulte. 2025. Cascaded Optimization
of PV and Battery Sizing Under Dynamic Cost and CO Signals. Hg. von University
of Buner, Pakistan; Altinbas University, Türkiye und ICECCE. 6th International
Conference on Electrical, Communication and Computer Engineering (ICECCE 2025) :
27-28 August 2025, Istanbul, Türkiye. [Piscataway, NJ]: IEEE. doi:10.1109/icecce67514.2025.11257982,
.'
din1505-2-1: 'Mousavi, Seyed Davood
; Schulte, Thomas ; University
of Buner, Pakistan; Altinbas University, Türkiye ; ICECCE
(Hrsg.): Cascaded Optimization of PV and Battery Sizing Under Dynamic Cost
and CO Signals. [Piscataway, NJ] : IEEE, 2025'
havard: S.D. Mousavi, T. Schulte, Cascaded Optimization of PV and Battery Sizing
Under Dynamic Cost and CO Signals, IEEE, [Piscataway, NJ], 2025.
ieee: 'S. D. Mousavi and T. Schulte, Cascaded Optimization of PV and Battery
Sizing Under Dynamic Cost and CO Signals. [Piscataway, NJ]: IEEE, 2025. doi:
10.1109/icecce67514.2025.11257982.'
mla: 'Mousavi, Seyed Davood, and Thomas Schulte. “Cascaded Optimization of PV and
Battery Sizing Under Dynamic Cost and CO Signals.” 6th International Conference
on Electrical, Communication and Computer Engineering (ICECCE 2025) : 27-28 August
2025, Istanbul, Türkiye, edited by University of Buner, Pakistan; Altinbas
University, Türkiye and ICECCE, IEEE, 2025, https://doi.org/10.1109/icecce67514.2025.11257982.'
short: S.D. Mousavi, T. Schulte, Cascaded Optimization of PV and Battery Sizing
Under Dynamic Cost and CO Signals, IEEE, [Piscataway, NJ], 2025.
ufg: 'Mousavi, Seyed Davood/Schulte, Thomas: Cascaded Optimization of PV
and Battery Sizing Under Dynamic Cost and CO Signals, hg. von University of Buner,
Pakistan; Altinbas University, Türkiye , ICECCE, [Piscataway, NJ] 2025.'
van: 'Mousavi SD, Schulte T. Cascaded Optimization of PV and Battery Sizing Under
Dynamic Cost and CO Signals. University of Buner, Pakistan; Altinbas University,
Türkiye , ICECCE, editors. 6th International Conference on Electrical, Communication
and Computer Engineering (ICECCE 2025) : 27-28 August 2025, Istanbul, Türkiye.
[Piscataway, NJ]: IEEE; 2025.'
conference:
end_date: 2025-08-28
location: 'Istanbul, Turkiye '
name: 6th International Conference on Electrical, Communication and Computer Engineering
(ICECCE)
start_date: 2025-08-27
corporate_editor:
- 'University of Buner, Pakistan; Altinbas University, Türkiye '
- ICECCE
date_created: 2026-04-10T07:05:12Z
date_updated: 2026-04-13T09:16:02Z
department:
- _id: DEP6020
- _id: DEP5022
doi: 10.1109/icecce67514.2025.11257982
keyword:
- Photovoltaic systems
- Cost
- Electricity
- Tariffs
- Stochastic processes
- Real-time systems
- Robustness
- Batteries
- Planning
- Mixed integer linear programming
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: "\t 6th International Conference on Electrical, Communication and Computer
Engineering (ICECCE 2025) : 27-28 August 2025, Istanbul, Türkiye"
publication_identifier:
eisbn:
- 979-8-3315-4914-5
isbn:
- '979-8-3315-4915-2 '
- 979-8-3315-4916-9
publication_status: published
publisher: IEEE
status: public
title: Cascaded Optimization of PV and Battery Sizing Under Dynamic Cost and CO Signals
type: conference_editor_article
user_id: '83781'
year: '2025'
...
---
_id: '13224'
abstract:
- lang: eng
text: This paper presents a robust methodology for optimizing CO2 emissions and
electricity costs in industrial applications, with the aim of developing a flexible
and dynamic energy management strategy that balances sustainability and cost-efficiency.
Addressing the growing need for sustainable and economically viable energy solutions
amidst the global urgency of climate change mitigation, the proposed approach
is based on dynamic energy management techniques that minimize dependence on grid
electricity, which can fluctuate between energy import and export. A flexible
cost function is developed to simultaneously account for CO2 emissions and electricity
prices, enabling a balance between environmental impact and operational costs.
The optimization framework employs Mixed-Integer Linear Programming (MILP) to
derive the optimal energy management strategy, showcasing significant potential
for reducing both CO2 emissions and electricity costs. Although the methodology
is demonstrated in a specific industrial setting, its flexible design ensures
applicability across various energy profiles and operational scenarios, making
it relevant for a wide range of industrial applications.
author:
- first_name: Seyed Davood
full_name: Mousavi, Seyed Davood
id: '79148'
last_name: Mousavi
- first_name: Martin
full_name: Griese, Martin
id: '52308'
last_name: Griese
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
citation:
ama: Mousavi SD, Griese M, Schulte T. Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories. IEEE; 2024. doi:10.1109/icecer62944.2024.10920418
apa: Mousavi, S. D., Griese, M., & Schulte, T. (2024). Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories. In 2024
International Conference on Electrical and Computer Engineering Researches (ICECER).
2024 International Conference on Electrical and Computer Engineering Researches
(ICECER), Gaborone, Botswana . IEEE. https://doi.org/10.1109/icecer62944.2024.10920418
bjps: 'Mousavi SD, Griese M and Schulte T (2024) Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories. [Piscataway,
NJ]: IEEE.'
chicago: 'Mousavi, Seyed Davood, Martin Griese, and Thomas Schulte. Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories. 2024
International Conference on Electrical and Computer Engineering Researches (ICECER).
[Piscataway, NJ]: IEEE, 2024. https://doi.org/10.1109/icecer62944.2024.10920418.'
chicago-de: 'Mousavi, Seyed Davood, Martin Griese und Thomas Schulte. 2024. Dynamic
Optimization of CO2 Emissions and Electricity Costs in Smart Factories.
2024 International Conference on Electrical and Computer Engineering Researches
(ICECER). [Piscataway, NJ]: IEEE. doi:10.1109/icecer62944.2024.10920418,
.'
din1505-2-1: 'Mousavi, Seyed Davood
; Griese, Martin ; Schulte,
Thomas: Dynamic Optimization of CO2 Emissions and Electricity
Costs in Smart Factories. [Piscataway, NJ] : IEEE, 2024'
havard: S.D. Mousavi, M. Griese, T. Schulte, Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories, IEEE, [Piscataway, NJ], 2024.
ieee: 'S. D. Mousavi, M. Griese, and T. Schulte, Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories. [Piscataway, NJ]: IEEE,
2024. doi: 10.1109/icecer62944.2024.10920418.'
mla: Mousavi, Seyed Davood, et al. “Dynamic Optimization of CO2 Emissions
and Electricity Costs in Smart Factories.” 2024 International Conference on
Electrical and Computer Engineering Researches (ICECER), IEEE, 2024, https://doi.org/10.1109/icecer62944.2024.10920418.
short: S.D. Mousavi, M. Griese, T. Schulte, Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories, IEEE, [Piscataway, NJ], 2024.
ufg: 'Mousavi, Seyed Davood/Griese, Martin/Schulte, Thomas: Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories, [Piscataway,
NJ] 2024.'
van: 'Mousavi SD, Griese M, Schulte T. Dynamic Optimization of CO2 Emissions
and Electricity Costs in Smart Factories. 2024 International Conference on Electrical
and Computer Engineering Researches (ICECER). [Piscataway, NJ]: IEEE; 2024.'
conference:
end_date: 2024-12-06
location: 'Gaborone, Botswana '
name: 2024 International Conference on Electrical and Computer Engineering Researches
(ICECER)
start_date: 2024-12-04
date_created: 2025-09-29T09:36:25Z
date_updated: 2025-10-06T13:05:59Z
department:
- _id: DEP6020
- _id: DEP5022
doi: 10.1109/icecer62944.2024.10920418
keyword:
- CO2 Reduction
- Electricity Cost Minimization
- Life Cycle Assessment
- MILP
- Smart-E-Factory
- Dynamic Energy Management
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 2024 International Conference on Electrical and Computer Engineering
Researches (ICECER)
publication_status: published
publisher: IEEE
status: public
title: Dynamic Optimization of CO2 Emissions and Electricity Costs in Smart
Factories
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '7981'
abstract:
- lang: eng
text: 'The main purpose of bovine colostrum, being the milk secreted by a cow after
giving birth, is to transfer passive immunity to the calf. The calves have an
immature immune system as they lack immunoglobulins (Igs). Subsequently, the supply
of good quality bovine colostrum is required. The quality of colostrum is classified
by low bacterial counts and adequate Ig concentrations. Bacterial contamination
can contain a variety of human pathogens or high counts of spoilage bacteria,
which has become more challenging with the emerging use of bovine colostrum as
food and food supplements. There is also a growing risk for the spread of zoonotic
diseases originating from bovines. For this reason, processing based on heat treatment
or other feasible techniques is required. This review provides an overview of
literature on the microbial quality of bovine colostrum and processing methods
to improve its microbial quality and keep its nutritional values as food. The
highlights of this review are as follows: high quality colostrum is a valuable
raw material in food products and supplements; the microbial safety of bovine
colostrum is increased using an appropriate processing-suitable effective heat
treatment which does not destroy the high nutrition value of colostrum; the heat
treatment processes are cost-effective compared to other methods; and heat treatment
can be performed in both small- and large-scale production.'
author:
- first_name: Sylvia
full_name: Fasse, Sylvia
last_name: Fasse
- first_name: Jarmo
full_name: Alarinta, Jarmo
last_name: Alarinta
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
- first_name: Gun
full_name: Wirtanen, Gun
last_name: Wirtanen
citation:
ama: Fasse S, Alarinta J, Frahm B, Wirtanen G. Bovine Colostrum for Human Consumption
- Improving Microbial Quality and Maintaining Bioactive Characteristics through
Processing. Dairy. 2021;2(4):556-575. doi:10.3390/dairy2040044
apa: Fasse, S., Alarinta, J., Frahm, B., & Wirtanen, G. (2021). Bovine Colostrum
for Human Consumption - Improving Microbial Quality and Maintaining Bioactive
Characteristics through Processing. Dairy, 2(4), 556–575. https://doi.org/10.3390/dairy2040044
bjps: Fasse S et al. (2021) Bovine Colostrum for Human Consumption
- Improving Microbial Quality and Maintaining Bioactive Characteristics through
Processing. Dairy 2, 556–575.
chicago: 'Fasse, Sylvia, Jarmo Alarinta, Björn Frahm, and Gun Wirtanen. “Bovine
Colostrum for Human Consumption - Improving Microbial Quality and Maintaining
Bioactive Characteristics through Processing.” Dairy 2, no. 4 (2021): 556–75.
https://doi.org/10.3390/dairy2040044.'
chicago-de: 'Fasse, Sylvia, Jarmo Alarinta, Björn Frahm und Gun Wirtanen. 2021.
Bovine Colostrum for Human Consumption - Improving Microbial Quality and Maintaining
Bioactive Characteristics through Processing. Dairy 2, Nr. 4: 556–575.
doi:10.3390/dairy2040044, .'
din1505-2-1: 'Fasse, Sylvia ; Alarinta, Jarmo ; Frahm,
Björn ; Wirtanen, Gun: Bovine
Colostrum for Human Consumption - Improving Microbial Quality and Maintaining
Bioactive Characteristics through Processing. In: Dairy Bd. 2. Basel, MDPI
(2021), Nr. 4, S. 556–575'
havard: S. Fasse, J. Alarinta, B. Frahm, G. Wirtanen, Bovine Colostrum for Human
Consumption - Improving Microbial Quality and Maintaining Bioactive Characteristics
through Processing, Dairy. 2 (2021) 556–575.
ieee: 'S. Fasse, J. Alarinta, B. Frahm, and G. Wirtanen, “Bovine Colostrum for Human
Consumption - Improving Microbial Quality and Maintaining Bioactive Characteristics
through Processing,” Dairy, vol. 2, no. 4, pp. 556–575, 2021, doi: 10.3390/dairy2040044.'
mla: Fasse, Sylvia, et al. “Bovine Colostrum for Human Consumption - Improving Microbial
Quality and Maintaining Bioactive Characteristics through Processing.” Dairy,
vol. 2, no. 4, 2021, pp. 556–75, https://doi.org/10.3390/dairy2040044.
short: S. Fasse, J. Alarinta, B. Frahm, G. Wirtanen, Dairy 2 (2021) 556–575.
ufg: 'Fasse, Sylvia u. a.: Bovine Colostrum for Human Consumption - Improving
Microbial Quality and Maintaining Bioactive Characteristics through Processing,
in: Dairy 2 (2021), H. 4, S. 556–575.'
van: Fasse S, Alarinta J, Frahm B, Wirtanen G. Bovine Colostrum for Human Consumption
- Improving Microbial Quality and Maintaining Bioactive Characteristics through
Processing. Dairy. 2021;2(4):556–75.
date_created: 2022-05-05T12:51:45Z
date_updated: 2025-06-26T08:58:30Z
department:
- _id: DEP4021
doi: 10.3390/dairy2040044
external_id:
isi:
- '001178458700001'
intvolume: ' 2'
isi: '1'
issue: '4'
keyword:
- bovine colostrum
- bacteria
- pathogens
- probiotic bacteria
- cost-effective processing
- heat treatment
- pasteurization
- contamination control
- immunoglobulins
- enzymes
language:
- iso: eng
page: 556-575
place: Basel
publication: Dairy
publication_identifier:
eissn:
- '2624-862X '
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Bovine Colostrum for Human Consumption - Improving Microbial Quality and Maintaining
Bioactive Characteristics through Processing
type: scientific_journal_article
user_id: '83781'
volume: 2
year: '2021'
...
---
_id: '590'
abstract:
- lang: eng
text: Against the background of rising overhead costs in manufacturing companies
the application of methods of overhead cost management is of increasing importance.
Within this article existing approaches of cost management are explained in principle.
Based on these approaches a new complementary approach of managing costs with
the help of costs elasticity ratios is described by a case study. The method is
based on the hypothesis that there are no fixed personnel costs, but personnel
costs with different elasticity with respect to the volume of orders. Personnel
costs elasticity (ε) is derived from the quotient of the relative change in personnel
costs (k) and the relative change of the order volume (q) of a billing month (i).
The method aims to increase the flexibility of overhead costs, but can also be
applied with respect to so-called direct costs. In this case, the question arises
as to what extent the direct costs actually develop proportional elastic over
time.
author:
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
citation:
ama: 'Hinrichsen S. How Elasticity Indicators Support Cost Management. In: Villmer
FJ, Padoano E, Department of Production Engineering and Management, Hochschule
Ostwestfalen-Lippe, eds. Production Engineering and Management. ; 2016:123-131.'
apa: Hinrichsen, S. (2016). How Elasticity Indicators Support Cost Management. In
F.-J. Villmer, E. Padoano, Department of Production Engineering and Management,
& Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management
(Issue 1, pp. 123–131).
bjps: Hinrichsen S (2016) How Elasticity Indicators Support Cost Management.
In Villmer F-J et al. (eds), Production Engineering and Management. Lemgo,
pp. 123–131.
chicago: Hinrichsen, Sven. “How Elasticity Indicators Support Cost Management.”
In Production Engineering and Management, edited by Franz-Josef Villmer,
Elio Padoano, Department of Production Engineering and Management, and Hochschule
Ostwestfalen-Lippe, 123–31. Lemgo, 2016.
chicago-de: 'Hinrichsen, Sven. 2016. How Elasticity Indicators Support Cost Management.
In: Production Engineering and Management, hg. von Franz-Josef Villmer,
Elio Padoano, Department of Production Engineering and Management, und Hochschule
Ostwestfalen-Lippe, 123–131. Lemgo.'
din1505-2-1: 'Hinrichsen, Sven: How
Elasticity Indicators Support Cost Management. In: Villmer,
F.-J. ; Padoano, E. ; Department of Production Engineering and Management
; Hochschule Ostwestfalen-Lippe
(Hrsg.): Production Engineering and Management. Lemgo, 2016, S. 123–131'
havard: 'S. Hinrichsen, How Elasticity Indicators Support Cost Management, in: F.-J.
Villmer, E. Padoano, Department of Production Engineering and Management, Hochschule
Ostwestfalen-Lippe (Eds.), Production Engineering and Management, Lemgo, 2016:
pp. 123–131.'
ieee: S. Hinrichsen, “How Elasticity Indicators Support Cost Management,” in Production
Engineering and Management, Lemgo, 2016, no. 1, pp. 123–131.
mla: Hinrichsen, Sven. “How Elasticity Indicators Support Cost Management.” Production
Engineering and Management, edited by Franz-Josef Villmer et al., no. 1, 2016,
pp. 123–31.
short: 'S. Hinrichsen, in: F.-J. Villmer, E. Padoano, Department of Production Engineering
and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and
Management, Lemgo, 2016, pp. 123–131.'
ufg: 'Hinrichsen, Sven: How Elasticity Indicators Support Cost Management,
in: Villmer, Franz-Josef u. a. (Hgg.): Production Engineering and Management,
Lemgo 2016, S. 123–131.'
van: 'Hinrichsen S. How Elasticity Indicators Support Cost Management. In: Villmer
FJ, Padoano E, Department of Production Engineering and Management, Hochschule
Ostwestfalen-Lippe, editors. Production Engineering and Management. Lemgo; 2016.
p. 123–31.'
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: 2019-02-18T15:23:42Z
date_updated: 2023-04-14T11:37:27Z
ddc:
- '330'
department:
- _id: DEP1306
- _id: DEP7020
editor:
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
last_name: Villmer
- first_name: Elio
full_name: Padoano, Elio
last_name: Padoano
file:
- access_level: open_access
content_type: application/pdf
creator: mqc-p4h
date_created: 2023-04-14T11:36:14Z
date_updated: 2023-04-14T11:36:14Z
file_id: '9701'
file_name: PEM 2016 paper Hinrichsen final.pdf
file_size: 130007
relation: main_file
success: 1
file_date_updated: 2023-04-14T11:36:14Z
has_accepted_license: '1'
issue: '1'
keyword:
- Cost management
- Overhead costs
- Direct costs
- Labor costs
- Elasticity
language:
- iso: eng
oa: '1'
page: 123-131
place: Lemgo
publication: Production Engineering and Management
publication_identifier:
isbn:
- 978-3-946856-00-9
publication_status: published
status: public
title: How Elasticity Indicators Support Cost Management
type: conference
user_id: '49010'
year: '2016'
...
---
_id: '594'
abstract:
- lang: eng
text: Due to steadily increased demand for customized products, as well as their
enhanced complexity and shorter product lifecycles, companies in all industries
require a reliable prediction of the expected product development costs from the
very start of product realization. Incorrectly estimated project costs may lead
to serious consequences in the course of a development project. For example, offers
are most often based on such early cost estimations and consequently, a major
safety margin has to be added, which may result in the refusal of an order. A
too low estimation of the costs of aproduct development project, on the other
hand, may result in a loss for the project.In this paper, a software tool is presented
for the prediction of product development costs which offers the user the ability
to create a more accurate prediction of project costs on the basis of a minimum
of retrograde project information. By combining a parametric cost model and cost
result with stochastic character, based on the Monte Carlo method, in one software
system, it is possible to significantly improve projectcost estimations.
author:
- first_name: Andreas
full_name: Otte, Andreas
id: '51466'
last_name: Otte
- first_name: Eva
full_name: Scheideler, Eva
id: '61522'
last_name: Scheideler
- first_name: Franz-Josef
full_name: Villmer, Franz-Josef
id: '14290'
last_name: Villmer
citation:
ama: 'Otte A, Scheideler E, Villmer F-J. Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage. In: Villmer F-J,
Padoano E, Department of Production Engineering and Management, eds. Department
of Production Engineering and Management. Lemgo; 2016:281-292.'
apa: Otte, A., Scheideler, E., & Villmer, F.-J. (2016). Project Cost Estimator
- A Parameter-Based Tool to Predict Product Realization Costs at a Very Early
Stage. In F.-J. Villmer, E. Padoano, & Department of Production Engineering
and Management (Eds.), Department of Production Engineering and Management
(pp. 281–292). Lemgo.
bjps: Otte A, Scheideler E and Villmer F-J (2016) Project Cost Estimator
- A Parameter-Based Tool to Predict Product Realization Costs at a Very Early
Stage. In Villmer F-J, Padoano E and Department of Production Engineering and
Management (eds), Department of Production Engineering and Management.
Lemgo, pp. 281–292.
chicago: Otte, Andreas, Eva Scheideler, and Franz-Josef Villmer. “Project Cost Estimator
- A Parameter-Based Tool to Predict Product Realization Costs at a Very Early
Stage.” In Department of Production Engineering and Management, edited
by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering
and Management, 281–92. Lemgo, 2016.
chicago-de: 'Otte, Andreas, Eva Scheideler und Franz-Josef Villmer. 2016. Project
Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at
a Very Early Stage. In: Department of Production Engineering and Management,
hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering
and Management, 281–292. Lemgo.'
din1505-2-1: 'Otte, Andreas ; Scheideler, Eva ; Villmer,
Franz-Josef: Project Cost Estimator - A Parameter-Based Tool to Predict
Product Realization Costs at a Very Early Stage. In: Villmer,
F.-J. ; Padoano, E. ; Department of Production Engineering and Management
(Hrsg.): Department of Production Engineering and Management. Lemgo, 2016,
S. 281–292'
havard: 'A. Otte, E. Scheideler, F.-J. Villmer, Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage, in: F.-J. Villmer,
E. Padoano, Department of Production Engineering and Management (Eds.), Department
of Production Engineering and Management, Lemgo, 2016: pp. 281–292.'
ieee: A. Otte, E. Scheideler, and F.-J. Villmer, “Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage,” in Department
of Production Engineering and Management, Lemgo, 2016, no. 1, pp. 281–292.
mla: Otte, Andreas, et al. “Project Cost Estimator - A Parameter-Based Tool to Predict
Product Realization Costs at a Very Early Stage.” Department of Production
Engineering and Management, edited by Franz-Josef Villmer et al., no. 1, 2016,
pp. 281–92.
short: 'A. Otte, E. Scheideler, F.-J. Villmer, in: F.-J. Villmer, E. Padoano, Department
of Production Engineering and Management (Eds.), Department of Production Engineering
and Management, Lemgo, 2016, pp. 281–292.'
ufg: 'Otte, Andreas et. al. (2016): Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage, in: Franz-Josef
Villmer et. al. (Hgg.): Department of Production Engineering and Management,
Lemgo, S. 281–292.'
van: 'Otte A, Scheideler E, Villmer F-J. Project Cost Estimator - A Parameter-Based
Tool to Predict Product Realization Costs at a Very Early Stage. In: Villmer F-J,
Padoano E, Department of Production Engineering and Management, editors. Department
of Production Engineering and Management. Lemgo; 2016. p. 281–92.'
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: 2019-02-18T15:41:41Z
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:
- Cost prediction
- Product realization projects
- Monte Carlo method
- Parametric cost model
- Software tool
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: 281-292
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: Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization
Costs at a Very Early Stage
type: conference
user_id: '45673'
year: 2016
...
---
_id: '5932'
abstract:
- lang: eng
text: Groupage transports are frequently calculated based on freight rates assuming
a declining rate with respect to volume and to transportation distance. This paper
investigates the case of feeding many small shipments to customers via a freight
forwarder network. It is argued that costs for post-carriage transport dominate
other costs. Based on a theoretical estimate, simulation experiments for the case
of a uniform distribution of customer locations around the subsidiary with a fixed
shipment size per drop suggest that the aggregate costs grow progressively with
increasing customer drop distances from the subsidiary. The resulting implications
for transport modelling are discussed.
author:
- first_name: Nicholas
full_name: Boone, Nicholas
id: '24251'
last_name: Boone
- first_name: Tim
full_name: Quisbrock, Tim
id: '24033'
last_name: Quisbrock
citation:
ama: 'Boone N, Quisbrock T. Modelling post-carriage transport costs in groupage
networks. In: Advanced Manufacturing and Sustainable Logistics : Proceedings
/ 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn. Berlin:
Springer; 2011:332-344. doi:doi.org/10.1007/978-3-642-12494-5_30'
apa: 'Boone, N., & Quisbrock, T. (2011). Modelling post-carriage transport costs
in groupage networks. In Advanced manufacturing and sustainable logistics :
proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn
(pp. 332–344). Berlin: Springer. https://doi.org/doi.org/10.1007/978-3-642-12494-5_30'
bjps: 'Boone N and Quisbrock T (2011) Modelling Post-Carriage Transport Costs
in Groupage Networks. Advanced Manufacturing and Sustainable Logistics : Proceedings
/ 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn. Berlin:
Springer, pp. 332–344.'
chicago: 'Boone, Nicholas, and Tim Quisbrock. “Modelling Post-Carriage Transport
Costs in Groupage Networks.” In Advanced Manufacturing and Sustainable Logistics :
Proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn,
332–44. Berlin: Springer, 2011. https://doi.org/doi.org/10.1007/978-3-642-12494-5_30.'
chicago-de: 'Boone, Nicholas und Tim Quisbrock. 2011. Modelling post-carriage transport
costs in groupage networks. In: Advanced manufacturing and sustainable logistics :
proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn,
332–344. Berlin: Springer. doi:doi.org/10.1007/978-3-642-12494-5_30,
.'
din1505-2-1: 'Boone, Nicholas ; Quisbrock, Tim: Modelling post-carriage
transport costs in groupage networks. In: Advanced manufacturing and sustainable
logistics : proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010,
Paderborn. Berlin : Springer, 2011, S. 332–344'
havard: 'N. Boone, T. Quisbrock, Modelling post-carriage transport costs in groupage
networks, in: Advanced Manufacturing and Sustainable Logistics : Proceedings /
8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn, Springer, Berlin,
2011: pp. 332–344.'
ieee: 'N. Boone and T. Quisbrock, “Modelling post-carriage transport costs in groupage
networks,” in Advanced manufacturing and sustainable logistics : proceedings
/ 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn, Berlin:
Springer, 2011, pp. 332–344.'
mla: 'Boone, Nicholas, and Tim Quisbrock. “Modelling Post-Carriage Transport Costs
in Groupage Networks.” Advanced Manufacturing and Sustainable Logistics : Proceedings
/ 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn, Springer,
2011, pp. 332–44, doi:doi.org/10.1007/978-3-642-12494-5_30.'
short: 'N. Boone, T. Quisbrock, in: Advanced Manufacturing and Sustainable Logistics :
Proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn,
Springer, Berlin, 2011, pp. 332–344.'
ufg: 'Boone, Nicholas/Quisbrock, Tim (2011): Modelling post-carriage transport
costs in groupage networks, in: Advanced manufacturing and sustainable logistics :
proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn,
Berlin, S. 332–344.'
van: 'Boone N, Quisbrock T. Modelling post-carriage transport costs in groupage
networks. In: Advanced manufacturing and sustainable logistics : proceedings /
8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn. Berlin: Springer;
2011. p. 332–44.'
conference:
end_date: 2010-04-22
location: Paderborn
name: 8th International Heinz Nixdorf Symposium, IHNS 2010
start_date: 2010-04-21
date_created: 2021-05-19T07:26:49Z
date_updated: 2023-03-15T13:50:03Z
department:
- _id: DEP1520
doi: doi.org/10.1007/978-3-642-12494-5_30
keyword:
- cost-by-cause principle
- freight forwarder
- freight rates
- network
- overhead costs
- pricing
- simulation
- transport
language:
- iso: eng
page: 332-344
place: Berlin
publication: 'Advanced manufacturing and sustainable logistics : proceedings / 8th
International Heinz Nixdorf Symposium, IHNS 2010, Paderborn'
publication_identifier:
eisbn:
- 978-3-642-12494-5
isbn:
- 978-3-642-12461-7
publication_status: published
publisher: Springer
status: public
title: Modelling post-carriage transport costs in groupage networks
type: book_chapter
user_id: '15514'
year: 2011
...