2010
DOI: 10.1016/j.cie.2010.06.008
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Coordinated procurement/inspection and production model under inspection errors

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Cited by 12 publications
(5 citation statements)
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“…Wang, Dohi, and Tsai [36] considered an inventory model to purchase lot size under a partial inspection policy over commonly used policy for both full and no inspection. Duffuaa and El-Gáaly [7] extended their [5] model by developing more realistic multi-objective optimization model that integrates measurement errors in inspection system.…”
Section: Biswajit Sarkar Bimal Kumar Sett and Sumon Sarkarmentioning
confidence: 99%
“…Wang, Dohi, and Tsai [36] considered an inventory model to purchase lot size under a partial inspection policy over commonly used policy for both full and no inspection. Duffuaa and El-Gáaly [7] extended their [5] model by developing more realistic multi-objective optimization model that integrates measurement errors in inspection system.…”
Section: Biswajit Sarkar Bimal Kumar Sett and Sumon Sarkarmentioning
confidence: 99%
“…The model considered defective sales returns and reverse logistics from customers when Type II inspection errors occur, and reworking and salvaging processes when Type I inspection errors occur. Wang, Dohi, and Tsai (2010) investigated integrating the acquisition of input materials, materials inspection, and production planning, in cases where Type I and Type II inspection errors are allowed, and the unit acquisition cost is dependent on the average quality level. Yoo, Kim, and Park (2012) developed an optimal lot sizing model that takes into account investment in production and inspection quality, incorporating all costs associated with quality.…”
Section: Introductionmentioning
confidence: 99%
“…An inventory model in an of imperfect production process with the preventive maintenance and inspection errors was considered by Darwish and Ben-Daya (2007). Wang et al (2010) considered a partial inspection approach over commonly used policies for both full and no inspection. Lin et al (2011) investigated an imperfect production system for production lot size, maintenance, and quality with increasing hazard rates.…”
Section: Introductionmentioning
confidence: 99%