TY - JOUR ID - 17231 TI - Reliable location-allocation model for congested systems under disruptions using accelerated Benders decomposition JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - Zarrinpoor, Naeme AU - Fallahnezhad, Mohammad Saber AU - Pishvaee, Mir Saman AD - Department of industrial engineering, Yazd University, Yazd, Iran. AD - Department of industrial engineering, Iran University of Science and Technology, Tehran, Iran. Y1 - 2016 PY - 2016 VL - 9 IS - special issue on location allocation and hub modeling SP - 100 EP - 117 KW - Location-allocation model KW - Disruption KW - Queuing system KW - Service Quality KW - Geographical accessibility KW - Benders Decomposition DO - N2 - This paper aims to propose a reliable location-allocation model where facilities are subject to the risk of disruptions. Since service facilities are expected to satisfy random and heavy demands, we model the congested situations in the system within a queuing framework which handles two sources of uncertainty associated with demand and service. To insure the service quality, a minimum limit reflected in the customers’ expected waiting time is considered in the model. We also consider the geographical accessibility of the service network in terms of the proximity of a facility to the potential demands. The model determines the optimal number and locations of facilities and the corresponding customer assignments in such a way as to minimize the fixed installation cost as well as expected traveling, serving and penalty costs. To obtain exact solution of the proposed model, a Benders decomposition algorithm enhanced by two efficient accelerating methods including valid inequalities and knapsack inequalities is proposed. Numerical results illustrate the applicability of the proposed model as well as the effectiveness of the designed solution procedure. UR - https://www.jise.ir/article_17231.html L1 - https://www.jise.ir/article_17231_dae9aded945096ecdce48290c5bb1971.pdf ER -