نوع مقاله : پژوهشی
1 دانشکدهی مهندسی صنایع، دانشگاه تربیت مدرس
2 دانشکدهی مهندسی صنایع، دانشگاه پیام نور تهران
عنوان مقاله [English]
Coordinating supply chains is an effective way to improve channel performance. A supply chain involves managing various resources (such as inventory, money and information) between disparate but dependent SC members. The conflicting objectives and lack of information between SC members may often cause uncertainties in SC. Hence, some coordination mechanism is necessary, which may motivate the members to achieve coordination. The purpose of this paper is to describe a decision support tool base on a contract in a two-level supply chain with VMI partnership. VMI facilitate the application of contracts, since information sharing in VMI partnerships allows the supplier to obtain actual sales data in a timely manner. The supplier may suggest some contracts to the retailer, according to business situations, and, in this case, the decision support tool can help all SC members to determine decision variable contracts for different scenarios. This tool is comprised of an analytical module; an extension of the classical newsboy problem, in which different cases of coordination are discussed, and a simulation module. The output of the analytical module becomes an input for simulation to quantify performance measures. The improvement in performance measures, after satisfying the objectives of all SC members, helps in realizing coordination in SC. In simulation, stochastic demand and price dependency are considered. The model proposed in this paper acts as a decision making tool; planning and estimating the decision variables of sales rebate and buyback contracts prior to the realization of the actual demand. Then, a comparison of different contracts is carried out based on expected profits. To demonstrate the use of the tool, a numerical example is presented. The range of buyback price and rebate is determined based on inequalities of the analytical module. Various performance measures are presented and, then, the module is quantified by simulation. The simulation module helps the decision makers chose an appropriate type of contract and answer various what if questions.