×

Determining the production lot size with a heuristic inspection policy for controlling the quality of input materials and products. (English) Zbl 1304.90083

Summary: This study simultaneously determines the optimal production lot size and an inspection policy for input materials and products, where an unreliable process produces products with a discrete general shift distribution. This work proposes a heuristic inspection policy for materials and products, by first obtaining the inspection range for the input material without considering product inspection, and by further determining the product inspection range based on the obtained range of the input material inspection. The optimal inspection policy shows that common policies of no or full inspection are never optimal. This study includes the optimal production lot size based on the obtained inspection policy. Numerical examples demonstrate the impacts of input quality level, process reliability and unit nonconforming cost on the optimal solution, which adopts a discrete Weibull shift distribution to model the process failure time. Finally, this study addresses the conclusions.

MSC:

90B30 Production models
90B25 Reliability, availability, maintenance, inspection in operations research
Full Text: DOI

References:

[1] DOI: 10.1080/00207720600566602 · Zbl 1111.93004 · doi:10.1080/00207720600566602
[2] DOI: 10.1080/00207720801902598 · Zbl 1283.93035 · doi:10.1080/00207720801902598
[3] DOI: 10.1080/00207720802090427 · Zbl 1155.90308 · doi:10.1080/00207720802090427
[4] DOI: 10.1016/j.ejor.2008.05.008 · Zbl 1176.90163 · doi:10.1016/j.ejor.2008.05.008
[5] DOI: 10.1109/TR.1975.5214915 · doi:10.1109/TR.1975.5214915
[6] DOI: 10.1287/opre.34.1.137 · Zbl 0591.90043 · doi:10.1287/opre.34.1.137
[7] DOI: 10.1080/07408170008963893 · doi:10.1080/07408170008963893
[8] DOI: 10.1080/00207720903144495 · Zbl 1200.90015 · doi:10.1080/00207720903144495
[9] Schroeder C, PCB Design using AutoCAD (EDN Series for Design Engineers) (1997)
[10] DOI: 10.1080/00207720310001657090 · Zbl 1081.90026 · doi:10.1080/00207720310001657090
[11] DOI: 10.1057/palgrave.jors.2601582 · Zbl 1095.90536 · doi:10.1057/palgrave.jors.2601582
[12] DOI: 10.1287/mnsc.42.11.1531 · Zbl 0879.90111 · doi:10.1287/mnsc.42.11.1531
[13] DOI: 10.1080/07408170802331250 · doi:10.1080/07408170802331250
[14] DOI: 10.1016/j.ijpe.2003.11.012 · doi:10.1016/j.ijpe.2003.11.012
[15] DOI: 10.1016/j.ejor.2006.03.024 · Zbl 1163.90447 · doi:10.1016/j.ejor.2006.03.024
[16] DOI: 10.1080/00207720902974645 · Zbl 1175.93248 · doi:10.1080/00207720902974645
[17] DOI: 10.1108/13598540910980242 · doi:10.1108/13598540910980242
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.