شماره ركورد كنفرانس :
4191
عنوان مقاله :
A supply chain design problem integrated facility unavailabilities management
پديدآورندگان :
Anwar Brahimi Mustapha ma.brahami@epst-tlemcen.dz Preparatory school on sciences and techniques, MELT Laboratory, Tlemcen, Algeria , MALIKI Fouad Preparatory school on sciences and techniques, MELT Laboratory, Tlemcen, Algeria , DAHANE Mohammed Ecole Nationale d’Ingénieurs de Metz (ENIM), Laboratoire de Génie Industriel et de Production de Metz (LGIPM), Metz, , SARI Zaki Abou Bekr Belkaid University, MELT Laboratory, Tlemcen, Algeria
كليدواژه :
supply chain management , location , allocation , suppliers selection , genetic algorithms
عنوان كنفرانس :
دوازدهمين كنفرانس بين المللي مهندسي صنايع
چكيده فارسي :
A supply chain is a set of facilities connected together in order to provide products to customers. The supply chain is subject to random failures caused by different factors which cause the unavailability of some sites. Given the current economic context, the management of these unavailabilities is becoming a strategic choice to ensure the desired reliability and availability levels of the different supply chain facilities. In this work, we treat two problems related to the field of supply chain, namely the design and unavailabilities management of logistics facilities. Specifically, we consider a stochastic distribution network with consideration of suppliers selection, distribution centres location (DCs) decisions and DCs’ unavailabilities management. Two resolution approaches are proposed. The first approach called non-integrated consists on define the optimal supply chain structure using an optimization approach based on genetic algorithms (GA), then to simulate the supply chain performance with the presence of DCs failures. The second approach called integrated approach is to consider the design of the supply chain problem and unavailabilities management of DCs in the same model. Note that, we replace each unavailable DC by performing a reallocation using GA in the two approaches. The obtained results of the two approaches are detailed and compared showing their effectiveness.