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首页> 外文期刊>Journal of the Chinese Institute of Industrial Engineers >Solving the Economic Lot and Inspection Scheduling Problem using the Extended Basic Period approach under Power-of-Two policy * 1001 181 985 181 894 181 985
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Solving the Economic Lot and Inspection Scheduling Problem using the Extended Basic Period approach under Power-of-Two policy * 1001 181 985 181 894 181 985

机译：基于二重权力政策的扩展基本期限方法解决经济批和检查计划问题* 1001 181 985 181 894 181 985

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摘要

The focus of this study is to solve the Economic Lot and Inspection Scheduling Problem (ELISP) using the Extended Basic Period (EBP) approach under Power-of-Two (PoT) policy. The objective of the ELISP is to determine an optimal cycle time and an optimal production and inspection schedule so as to minimize the total cost per unit time. Under PoT policy, we formulate a mathematical model by taking into account the constraints for both production and inspection capacities. Also, we propose a Hybrid Genetic Algorithm (HGA) which is equipped with a search algorithm that not only seeks to improve solution quality, but also assures a feasible solution for each chromosome obtained from the evolutionary processes. Our numerical experiments show that the proposed HGA effectively solves the ELISP using the EBP approach, and its solutions outperform the solutions from the ELISP using the Common Cycle approach. (Economic Lot and Inspection Scheduling Problem, ELISP) ELISP ELISP View full textDownload full textKeywordslot, production, inspection, scheduling, Genetic Algorithm, Power-of-TwoKeywords Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10170669.2012.655783
机译：这项研究的重点是使用二重权力（PoT）政策下的扩展基本期限（EBP）方法解决经济批量和检查计划问题（ELISP）。 ELISP的目标是确定最佳的循环时间以及最佳的生产和检查时间表，以使单位时间的总成本最小化。在PoT政策下，我们通过考虑生产和检验能力的约束条件来制定数学模型。此外，我们提出了一种混合遗传算法（HGA），该算法配备了搜索算法，不仅可以提高解决方案的质量，而且还可以为从进化过程中获得的每个染色体确保可行的解决方案。我们的数值实验表明，所提出的HGA使用EBP方法有效地解决了ELISP，其解决方案优于使用Common Cycle方法的ELISP解决方案。 （经济批号和检验计划问题，ELISP）ELISP ELISP查看全文下载全文关键字插槽，生产，检验，调度，遗传算法，二次幂相关关键字var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，service_compact：“ citeulike ，netvibes，twitter，technorati，可口，linkedin，facebook，stumbleupon，digg，google，更多”，发布：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10170669.2012.655783

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