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A Mixed Integer Linear Programming model for the design and planning of green supply chains is developed. Strategic and tactical decisions are taken, namely on facility location and capacity installation, supplier selection, technology selection, transportation network definition, supply planning, and product recovery. The aim of this work is to study the use of environmental indicators in these decisions...
Last decades firms have moved toward Supply Chain organizations. It has been characterized by partners' integration and new production practices. One of these is the share of high purchase price resources between distinct facilities. It is a way to reduce investment associated to resource sizing while preserving operational efficiency. Consequently, it must be tackled during strategic capacity allocation...
Considering demand uncertainty, this paper studies the problem of coordination between production and distribution in a manufacturing firm. Applying multi-agent coordination principle and uncertainty decision theory, we construct a decentralized collaborative and coordinated decision model of production and distribution. Coordination mechanism is proposed and algorithm is designed‥
Evaluating the performances of a Supply Chain is a hard task due to its decentralized structure and when one tries to take into account sustainable development issues. As a first step towards a realistic evaluation tool, in this paper, we provide a two-echelon supply chain model - a manufacturer and a 3PL provider - inspired from Jung, Chen & Jeong which optimizes the economic criterion (costs)...
Designing and planning of supply chain network (SCN) is one of the most important decisions to be made in dynamic business environment. Under today's dynamic circumstances, SCN is too complex to allow realistic models to be evaluated analytically. For this reason, we have developed a new simulator. This simulator provides most of the features needed to build a simulation model and can be accessed...
We propose a supply chain (SC) production planning methodology optimizing inventory costs under quality of service (QoS) guarantees. Non-linear Clearing Functions are estimated using explicit models of stochastic production dynamics. A minimum inventory cost production plan is obtained subject to desired QoS guarantees. The proposed methodology employs time scale driven decomposition of the original...
Because of current strong globalization trend, manufacturers and planners are more willing to cooperate in many aspects such as purchasing, production, planning and so on. Accordingly, multi-site capacity planning should also be done in order to maximize the overall interests. Firstly, the difference between multi-site capacity planning and traditional capacity planning is discussed. Then a two-stage...
This research deals with the production-distribution planning system in a supply chain environment. We consider multi-objectives for the plan including minimization of production cost, transformation cost, backorder cost and inventory holding cost. Also we consider realistic constraints such as the capacity of factory, distribution center, inventory and transportation vehicle, balance of inventory,...
By the end of 2008, companies based on the business model of offshore production were observed to be rethinking their business models, tending to consider the repatriation of production bases in order to lower costs and shorten delivery times. In this article, the authors of China's Electronics Industry (2009 Edition), M. Pecht and L. Zuga, (City University of Hong Kong Press, Hong Kong, China, 2009)...
In a price-sensitivity supply chain (PSSC), there often has nonlinear relationships between products' price and its quantity. In order to obtain the optimal production and distribution structure of a PSSC, the paper builds an integer nonlinear planning(INLP) model of the network planning for a multi-factories, multi-DCs and multi-retailers supply chain which has price sensitivity characteristics on...
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