Kharazmi University International Journal of Supply and Operations Management 23831359 3 2 2016 08 01 A Supply Chain Design Problem Integrated Facility Unavailabilities Management 1253 1266 2672 10.22034/2016.2.02 EN Fouad Maliki Preparatory school on sciences and techniques, MELT Laboratory, Tlemcen, Algeria Mustapha Anwar Brahami Preparatory school on sciences and techniques, MELT Laboratory, Tlemcen, Algeria Mohammed Dahane Ecole Nationale d’Ingénieurs de Metz (ENIM), Laboratoire de Génie Industriel et de Production de Metz (LGIPM), Metz, France Zaki Sari Abou Bekr Belkaid University, MELT Laboratory, Tlemcen, Algeria Journal Article 2016 04 16 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. Supply Chain Management Location-Allocation Suppliers selection Genetic Algorithms http://www.ijsom.com/article_2672_705f666431c00379a50208773486b976.pdf