Supply chain management (SCM) is the decision-making process that steers numerous activities in order to generate added values for all stakeholders. The aim of this optimize each activity terms advantageous profits suppliers, retailers and customers. In addition, efficient planning can be profitable product development, sourcing, logistics flows link those activities. SCM also seen as optimizin...

Transportation problem is a linear programming which considers minimum cost for shipping a product from some origins to other destinations such as from factories to warehouse, or from a warehouse to supermarkets. To solve this problem simplex algorithmis utilized. In real projects costs and the value of supply and demands are fuzzy numbers and it is expected that optimal solutions for determini...

We consider a segment of a supply chain comprising an inventory system and a transportation system that cooperate in the fulfillment of stochastic customer orders. The inventory system is operated under a discrete time (s, q) policy with backorders. In a system of this kind accumulated backorders introduce lumpiness of transportation demand into the system. We study the connection between the s...

supply chain management is a set of guidelines for integration of chains, which aims to reduce costs and increase system services to customers. one of the most important issues for supply chain stockholders is procuring and purchasing requested items in a timely manner. thus, a variety of models have been proposed as purchasing strategy in supply chains. group purchasing is a system which leads...

Most distribution network design models considered to date have focused on minimizing fixed costs of facility location and transportation costs. Measures of customer satisfaction driven by the operational dynamics such as lead times have seldom been considered. We consider the design of an outbound supply chain network considering lead times, location of distribution facilities and choice of tr...

This work develops a fuzzy linear programming (FLP) method for solving the transportation planning decision (TPD) problems with fuzzy goals, available supply and forecast demand. The proposed method attempts to minimize the total production and transportation costs and the total delivery time with reference to available supply and machine capacities at each source, as well as forecast demand an...