Optimization a new mathematical model of hybrid flow shop work order problem by the Genetic Algorithm

 
 
 
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    In competitive business, one of the challenges of management in industrial units is reducing the prime cost. Hybrid flow shop is one of the common production environments which lead to a significant decrease in production costs if it has a good and appropriate scheduling in production. Hybrid flow-shop problems overcome one of the limitations of the classical flow-shop model by allowing parallel processors at each stage of task Processing. In this paper we study the hybrid flow shop work order problems. A brief enumeration of the essential constraints that characterize this kind of organization is given. Problem is minimizing the production and inventory cost in Hybrid flow-shop organization. To solve problem we used the genetic algorithm to obtain the minimum of production cost. An illustrative example explains in detail the feature of the proposed model.


 

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Article ID: 147
 
DOI: 10.14419/ijet.v1i3.147




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