research-article

Multi-resolution modeling for supply chain sustainability analysis

Authors:

Sigríður Sigurðardóttir,

Björn JohanssonAuthors Info & Claims

WSC '13: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World

Pages 1996 - 2007

Published: 08 December 2013 Publication History

Abstract

Consumers are increasingly becoming conscious of the need to reduce environmental impact. This has motivated the industry to make efforts to improve the sustainability of their products and supply chains. Such efforts require the ability to analyze the sustainability of supply chains and potential improvements. A systematic approach is needed to evaluate the alternatives that may range from those at the supply chain configuration level to those for improving equipment at a production facility. This paper presents a multi-resolution modeling approach that allows analyzing parts of the supply chain at appropriate level of detail. The capability allows studying the supply chain at high level initially and iteratively drilling down to detailed levels in the identified areas of opportunity and evaluating associated improvement alternatives. Multi-resolution modeling directly relates the impact of improvement in one part of the supply chain to overall supply chain performance thus reducing analyst effort and time.

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Cited By

Fakhimi MStergioulas LMustafee N(2017)Modelling for sustainable development using the triple-bottom lineProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242228(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242228
Fakhimi MStergioulas LMustafee NHuschka TChick S(2016)Modelling for the triple-bottom lineProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042276(1404-1415)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042276
Jain SLechevalier DWoo JShin S(2015)Towards a virtual factory prototypeProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888870(2207-2218)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888870
Show More Cited By

Multi-resolution modeling for supply chain sustainability analysis
1. Applied computing

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Information & Contributors

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Published In

cover image ACM Conferences

WSC '13: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World

December 2013

4386 pages

ISBN:9781479920778

General Chair:
Raymond R. Hill
Air Force Institute of Technology
,
Program Chair:
Michael E. Kuhl
Rochester Institute of Technology

Sponsors

IIE: Institute of Industrial Engineers
INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
ASA: American Statistical Association
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS: Society for Modeling and Simulation International
ASIM: Arbeitsgemeinschaft Simulation
IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST: National Institute of Standards & Technology

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IEEE Press

Publication History

Published: 08 December 2013

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WSC '13

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IIE
INFORMS-SIM
ASA
SIGSIM
SCS
ASIM
IEEE/SMCS
NIST

WSC '13: Winter Simulation Conference

December 8 - 11, 2013

D.C., Washington

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Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Fakhimi MStergioulas LMustafee N(2017)Modelling for sustainable development using the triple-bottom lineProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242228(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242228
Fakhimi MStergioulas LMustafee NHuschka TChick S(2016)Modelling for the triple-bottom lineProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042276(1404-1415)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042276
Jain SLechevalier DWoo JShin S(2015)Towards a virtual factory prototypeProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888870(2207-2218)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888870
Fakhimi MStergioulas LMustafee N(2015)An investigation of hybrid simulation for modeling sustainability in healthcareProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888798(1585-1596)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888798
Fakhimi MAnagnostou AStergioulas LTaylor SBuckley SMiller J(2014)A hybrid agent-based and discrete event simulation approach for sustainable strategic planning and simulation analyticsProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694049(1573-1584)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694049
Jain SShao GBuckley SMiller J(2014)Virtual factory revisited for manufacturing data analyticsProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2693966(887-898)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2693966

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