Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios

D. Pérez-Perales (), A. Boza (), F. Alarcón () and P. Gómez-Gasquet ()
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D. Pérez-Perales: Universitat Politècnica de València (UPV)
A. Boza: Universitat Politècnica de València (UPV)
F. Alarcón: Universitat Politècnica de València (UPV)
P. Gómez-Gasquet: Universitat Politècnica de València (UPV)

Annals of Operations Research, 2024, vol. 337, issue 1, No 10, 312 pages

Abstract: 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.

Keywords: Collaborative planning; Methodology; Mathematical models; Scenarios evaluation; Ceramic sector (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-024-05917-6

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