the aim of this study was to represent effective componentsin demand chain which help organizations attain high performance levelsthrough identification of these components and determining theirdegree of importance. the following questions were major ideas of thisstudy: what are the most effective components in demand chain? andhow are they effective on organizational performance? to this end,m...

this research provides an optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. the problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments neede...

The aim of this study was to represent effective componentsin demand chain which help organizations attain high performance levelsthrough identification of these components and determining theirdegree of importance. The following questions were major ideas of thisstudy: what are the most effective components in demand chain? Andhow are they effective on organizational performance? To this end,m...

Many supply chain problems involve optimization of various conflicting objectives. This paper formulates a green supply chain network throughout a two-stage mixed integer linear problem with uncertain demand and stochastic environmental respects level. The first objective function of the proposed model considers minimization of supply chain costs while the second objective function minimizes CO...

To deal with the low accuracy of demand forecasting in supply chain, this paper uses the genetic algorithm to estimate the developing coefficient and the control variable of the GM(1,1) model and predicts the demand of every level in supply chain with this forecasting model, then uses a negotiation algorithm based on game theory to optimize the demand forecast when demand forecast disruption oc...

Modern multiagent technology can be applied fruitfully to supply chain or to be more precise to demand chain management. In current research there is not much discussed in this direction because today’s business processes are often characterized more by small solutions than by integrated ones. This paper will prove that this approach offers very new and challenging possibilities to manage deman...

Demand prediction of supply chain is an important content and the first premise in supply management of different enterprises and has become one of the difficulties and hot research fields for the researchers related. The paper takes fresh food demand prediction for example and presents a new algorithm for predicting demand of fresh food supply chain. First, the working principle and the root c...

vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. this paper presents a bi-objective mathematical mod...

Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final produc...