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Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios.
- Source :
-
Annals of Operations Research . Jun2024, Vol. 337 Issue 1, p261-312. 52p. - Publication Year :
- 2024
-
Abstract
- Nowadays, supply chain (SC) decentralised decision making is the most usual situation in SC operations planning. In this context, different companies can collaboratively plan to achieve a certain level of individual and SC performance. However in many cases, there is reluctance to collaborate because it is not known a priori which benefits will be reported. This paper aims to develop a mathematical programming-based methodology for the evaluation of different supply chain collaborative planning scenarios (MPM-SC-CP). It is assumed that different SC decision centres (DCs) make decisions based on mixed and integer linear programming models. Two main inputs feed the proposed MPM-SC-CP, a framework and associated methodology that support the integrated conceptual and analytical modeling of the SC-CP process in which several DCs make decisions according to spatio-temporal integration. Finally, an application to a real ceramic SC was conducted. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MIXED integer linear programming
*SUPPLY chains
*EVALUATION methodology
Subjects
Details
- Language :
- English
- ISSN :
- 02545330
- Volume :
- 337
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Annals of Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 177560817
- Full Text :
- https://doi.org/10.1007/s10479-024-05917-6