Konferenzbeitrag

Optimization and simulation for sustainable supply chain design

Purpose: This paper provides an overview of analytical optimization models and simulation-based approaches coping with upcoming challenges concerning the growing requirements within the field of sustainable supply chain design. It aims to combine the two highlighted solution methods in order to propose a holistic approach for decision-making support in this area. Methodology: Initially, a literature review on current application solutions for sustainable supply chain design is given. The regarded and analyzed approaches will be clustered and allocated to supply chain design tasks. Synergetic effects of combining simulation and optimization are identified and an integrated approach is outlined. Findings: Sustainable supply chain design tasks can be encapsulated in specific modules which are optimized simultaneously. Partial solutions are created which simplify the simulation model and reduce the necessary configurations to verify the robustness. Originality: Current approaches focusing on sustainable supply chain design mainly use simulation or optimization. A well-defined approach using various preceded optimizations for modularized strategic tasks like partner selection, allocation of resources or determination of transport relations with subsequent verification of the results in a simulation has not been proposed yet.

Language
Englisch

Bibliographic citation
10419/209197

Classification
Management
Subject
Supply chain design
Optimization
Simulation
Sustainability

Event
Geistige Schöpfung
(who)
Schreiber, Lucas
Event
Veröffentlichung
(who)
epubli GmbH
(where)
Berlin
(when)
2019

DOI
doi:10.15480/882.2500
Handle
URN
urn:nbn:de:gbv:830-882.054886
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Konferenzbeitrag

Associated

  • Schreiber, Lucas
  • epubli GmbH

Time of origin

  • 2019

Other Objects (12)