Decentralised capacitated planning with minimal-information sharing in a 2-echelon supply chain

Autor: Sai Ho Chung, Maxime Ogier, Van-Dat Cung, Felix T.S. Chan, Julien Boissière
Přispěvatelé: Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Department of Industrial and Systems Engineering (ISE), The Hong Kong Polytechnic University [Hong Kong] (POLYU), Recherche Opérationnelle pour les Systèmes de Production (G-SCOP_ROSP), Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])
Rok vydání: 2015
Předmět:
Zdroj: International Journal of Production Research
International Journal of Production Research, Taylor & Francis, 2015, 53 (16), pp.4927-4950. ⟨10.1080/00207543.2015.1005763⟩
International Journal of Production Research, 2015, 53 (16), pp.4927-4950. ⟨10.1080/00207543.2015.1005763⟩
ISSN: 1366-588X
0020-7543
DOI: 10.1080/00207543.2015.1005763
Popis: This paper aims at modelling decentralised planning at the tactical level, with minimal-information sharing coordination, in a 2-echelon supply chain with multiple actors at each echelon. Suppliers manage production and storage at the upstream echelon, while retailers manage transportation and storage at the downstream echelon. The main features of the planning process are (1) decentralisation and coordination using contracts and sharing of only order/supply proposals, and (2) iteration on a rolling horizon. Actor planning is modelled as a capacitated lot-sizing problem on a finite horizon, with the focus on quality of service. The objective is to minimise costs, with a high lost sales penalty if demand is not met. Two other decision problems are pointed out and modelled with Mixed Integer Programming: (1) lost sales allocation between the retailers when their demands cannot be satisfied; and (2) allocation of orders between the suppliers. A multi-agent system combines simulation of the planning process a...
Databáze: OpenAIRE
Nepřihlášeným uživatelům se plný text nezobrazuje