چكيده به لاتين
Abstract:
Supply chain network design is one of the most significant strategic decisions in supply chain management which includes the determination of number, location, capacity of facilities, the flow between them and allocation of each market zone to one or more facilities, thus It plays an important role in economic performance of supply chain.
Nowadays the globalization of commerce and the advent of international companies attract more attention to global supply chain networks. On the other hand, the network design decisions have long-term, costly and time-consuming impacts, hence by taking into account the ever-changing global status the optimum design of supply chain networks is of high importance.
In this thesis a comprehensive multi-objective non-linear model is proposed to address the design of global supply chain by taking into account the international transportation and delivery contracts under uncertainty in exchange rate and demand. The objectives of the proposed model comprise maximization of after-tax profit of production and distribution centers and maximization of customer satisfaction.
The most important decisions in this model include location of distribution centers, allocation of distribution centers to customers, selection of the best carriage and delivery contracts between production and distribution centers, optimum transfer pricing of products, inventory level of raw material and products considering perishability of them, the optimum quantity of production and flow of raw material and products among different layers of chain.
Proposed multi-objective non-linear model has been linearized and converted to a single-objective model utilizing Weighted-Sum Program. A new effectual robust possibilistic programming (RPP) model is developed to cope with the high degree of uncertainty in input parametersThe proposed robust possibilistic programming model is able to appropriately adjust the degree of feasibility and optimality robustness of output decisions against uncertainty of parameters.
Finally to show the usefulness and effectiveness of the proposed model, “Zarmacaron” company is used as a case study. The numerical results endorse the efficiency and practicability of developed robust possibilistic programming model.
Keywords: Global supply chain Network design, international carriage and delivery contracts, Transfer price, Uncertainty, Robust possibilistic programming
