In this paper, we consider a multi-stage multi-product production, inventory and transportation system and develop a mathematical model for a pull type ordering system based on the concept of a Just-In-Time (JIT) prod...
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In this paper, we consider a multi-stage multi-product production, inventory and transportation system and develop a mathematical model for a pull type ordering system based on the concept of a Just-In-Time (JIT) production system. Our model considers a manufacturing system in which the setup action is improved and can deal with the number of setups required. We also propose two approximate solution procedures to rapidly obtain a suboptimal solution of the formulated integer programming problem using a mathematical programming modeling language. The approximate procedures are realized utilizing postoptimal analysis which can be performed by the modelinglanguage. Finally, we show a numerical example of the model applied to an actual manufacturing system of an automobile parts manufacturer in order to verify the effectiveness of the approximate procedures and to clarify the applicability of our modeling approach.
In this paper we consider a multi-stage multi-product production, inventory and transportation system including lot production processes and develop a goal programming model for a pull type ordering system based on th...
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In this paper we consider a multi-stage multi-product production, inventory and transportation system including lot production processes and develop a goal programming model for a pull type ordering system based on the concept of a Just-In-Time(JIT) production system. We also present a pragmatic approach which reduces the required computational time for the formulated mixed integer goal programming problem using a mathematical programming modeling language. The proposed solution procedure is realized utilizing the post-optimal analysis which can be performed by the modelinglanguage.
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