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In this paper, advanced planning and scheduling (APS) in which each customer order has an absolute due date and outsourcing is available in a manufacturing supply chain is addressed. An integer programming model is presented to solve the APS problem. The objective is to minimize the makespan of each customer order while satisfying the due date constraints. The proposed model considers the integration...
The purpose of this paper is to formulate a mixed integer goal programming (MIGP) model to assist in reverse logistics network planning. The objective is to minimize the total cost (callback cost, transportation cost, operation cost, fixed cost for new facilities, revenues) and the environmental affects. The proposed model assists in determining the facility location and goods flows allocation in...
The necessity of introducing ATP (available to promise) is discussed and the principles of APS-based demand fulfillment solutions are proposed in this paper. Our approach is based on a normative mixed integer planning method. We conclude that the optimized solution of the traditional methods on which most planning processes are based is very difficult to characterize in an advanced planning system...
This paper presents a linear integer programming model to plan the production for multiple products. The production is planned using information shared across a supply chain. The advantage of information sharing has been proved from research that it can make the whole supply chain globally visualized and yet decreasing in variability on the supply chain. The objective function of the proposed model...
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