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In this paper, an under development mixed-integer programming model is presented and used to solve the Production-Inventory-Distribution-Routing Problem (PIDRP), the main objective is to minimize the total cost of production, inventory, and transportation without violating the demand fulfillment policy. The proposed model deals with multiple products with different characteristics, split deliveries,...
A production planning problem, known as the discrete lot sizing and scheduling problem with sequence-dependent changeover costs, is considered. We propose a new way of modelling the production system based on the use of a multi-attribute product structure encountered in many industrial situations. The basic idea is to describe the products as combinations of physical attributes and to exploit this...
We study a production planning problem known as the Discrete Lot-sizing and Scheduling problem with sequence-dependent changeover costs. We consider here the case where there are several identical parallel resources available for production and we propose solving the resulting optimization problem as a mixed-integer program (MIP) using a commercial solver. This is achieved thanks to the extension...
This paper presents a mathematical programming formulation for lot sizing that is inspired from tire production practice. A mixed-integer programming based fix-and-relax heuristic approach is developed to address this problem. The time-oriented decomposition in this approach is designed to be variable dependently to obtain high quality solutions of the submodel. A numerical study using randomly generated...
Speed has emerged, in addition to price, as the dominant factor in determining competitive advantage. Therefore, innovation-oriented firms have been competing along dimensions other than price, lead time being one such dimension. In this paper, we take a more complicated system: multiple operation system as research object to study how to make lot sizing, pricing and lead time decisions with time...
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