In consideration of capacity constraints, fuzzy defect ratio, and fuzzy transport loss ratio, this paper attempted to establish an optimized decision model for production planning and distribution of a multiphase, multiproduct reverse supply chain, which addresses defects returned to original manufacturers, and in addition, develops hybrid algorithms such as Particle Swarm Optimization-Genetic ...

This research work develops a decision support model for a network design problem concerning a spare parts closed loop supply chain. It involves the formulation of an optimization model that takes on a mid to long-term planning perspective and covers decisions that have lasting and binding impact on organizational performance. These decisions include investment, location assignment, and invento...

Transportation and logistics are fertile areas for modeling. Simulation has traditionally been used in warehousing and inside the distribution center or processing hub in the trucking and package delivery sectors, for baggage systems and passenger queueing in the airline industry, and for detailed models of terminals and yards in the railroad industry. In addition, simulators are used for certa...

In this paper, a blood supply chain network (BSCN) is designed to reduce the total cost of under demand and transportation costs. The levels considered for modeling include donation clusters, permanent temporary transfusion centers, major laboratory centers points. Other goals included determining optimal number location potential facilities, allocation flow goods between selected facilities mo...

in today’s competitive business environment, the design and management of supply chainnetwork is one of the most important challenges that managers encounter. the supply chain network shouldbe designed for satisfying of customer demands as well as minizing the total system costs. this paper presentsa multi-period multi-stage supply chain network design problem under demand uncertainty. the prob...

The paper deals with the reliability–based design optimization (RBDO) of concrete gravity dams subjected to earthquake load using subset simulation. The optimization problem is formulated such that the optimal shape of concrete gravity dam described by a number of variables is found by minimizing the total cost of concrete gravity dam for the given target reliability. In order to achieve this p...