this paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. for solving this multi-objective model, we develop a fuzzy multi-objective linear programming (fmolp) model. in this problem, a proposed fmolp method is applied with respect to the o...

In some countries, regional authorities may attempt to rebalance the allocation of national facilities in benefit their own region which, turn, cause disturbances central government’s decision-making proces. Regarding hierarchical nature these types decisions, classical optimization models are not effective and use multi-level programming can increase efficiency planning. Our paper aims address...

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...

<p style='text-indent:20px;'>The initial period after the earthquake is prime time for disaster relief. During this period, it of great value to rationally locate transfer facilities relief materials and effectively arrange transportation materials. Considering characteristics two-level emergency logistics system including uncertain demand, time, multiple varieties materials, shortage sup...

Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...