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An economic production lot size model in an imperfect production system

Shib Sankar Sana

European Journal of Operational Research, 2010, vol. 201, issue 1, 158-170

Abstract: The paper investigates an EPL (Economic Production Lotsize) model in an imperfect production system in which the production facility may shift from an 'in-control' state to an 'out-of-control' state at any random time. The basic assumption of the classical EPL model is that 100% of produced items are perfect quality. This assumption may not be valid for most of the production environments. More specifically, the paper extends the article of Khouja and Mehrez [Khouja, M., Mehrez, A., 1994. An economic production lot size model with imperfect quality and variable production rate. Journal of the Operational Research Society 45, 1405-1417]. Generally, the manufacturing process is 'in-control' state at the starting of the production and produced items are of conforming quality. In long-run process, the process shifts from the 'in-control' state to the 'out-of-control' state after certain time due to higher production rate and production-run-time.The proposed model is formulated assuming that a certain percent of total product is defective (imperfect), in 'out-of-control' state. This percentage also varies with production rate and production-run time. The defective items are restored in original quality by reworked at some costs to maintain the quality of products in a competitive market. The production cost per unit item is convex function of production rate. The total costs in this investment model include manufacturing cost, setup cost, holding cost and reworking cost of imperfect quality products. The associated profit maximization problem is illustrated by numerical examples and also its sensitivity analysis is carried out.

Keywords: Imperfect; production; process; Defective; Inventory; In-control-state; Out-of-control; state; Production; lotsize (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (49)

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