A model is developed to jointly determine the optimal lot size and product inspection policy for a deteriorating production system. In the end of each production of a lot, the state of the system can be detected by inspection. If the process is in-control, then no action is taken and all items in a lot are released for sale with no inspection. If the process is found to be out-of-control, then it is restored to the in-control state and the last K products in a lot are inspected and non-conforming products are reworked before they are released for sale to reduce the post-sale warranty cost. Under this inspection scheme, the optimal lot size and the optimal number of products to be inspected are jointly determined. There exists a unique optimal policy such that the expected total cost per unit time is minimized. Since there is no closed-form expression for the optimal policy, upper bound is derived to facilitate the search process. From the numerical study, we have observed that the model performs significantly better than the traditional EMQ policy.
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Amer Univ Sharjah, Coll Engn, Dept Ind Engn, POB 26666, Sharjah, U Arab EmiratesAmer Univ Sharjah, Coll Engn, Dept Ind Engn, POB 26666, Sharjah, U Arab Emirates
As'ad, Rami
Hariga, Moncer
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Amer Univ Sharjah, Coll Engn, Dept Ind Engn, POB 26666, Sharjah, U Arab EmiratesAmer Univ Sharjah, Coll Engn, Dept Ind Engn, POB 26666, Sharjah, U Arab Emirates
Hariga, Moncer
Shamayleh, Abdulrahim
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Amer Univ Sharjah, Coll Engn, Dept Ind Engn, POB 26666, Sharjah, U Arab EmiratesAmer Univ Sharjah, Coll Engn, Dept Ind Engn, POB 26666, Sharjah, U Arab Emirates
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Overseas Chinese Univ, Dept Business Adm, Taichung 40721, TaiwanOverseas Chinese Univ, Dept Business Adm, Taichung 40721, Taiwan
Hou, Kuo-Lung
Srivastava, H. M.
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Univ Victoria, Dept Math & Stat, Victoria, BC V8W 3R4, Canada
China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 40402, Taiwan
Azerbaijan Univ, Dept Math & Informat, Baku, Azerbaijan
Int Telemat Univ Uninettuno, Sect Math, I-00186 Rome, ItalyOverseas Chinese Univ, Dept Business Adm, Taichung 40721, Taiwan
Srivastava, H. M.
Lin, Li-Chiao
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Natl Chin Yi Univ Technol, Dept Business Adm, Taichung 41170, TaiwanOverseas Chinese Univ, Dept Business Adm, Taichung 40721, Taiwan
Lin, Li-Chiao
Lee, Shih-Fang
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Chung Yuan Christian Univ, Dept Appl Math, Chungli 320314, TaiwanOverseas Chinese Univ, Dept Business Adm, Taichung 40721, Taiwan
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Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
Ye, Zhi-Sheng
Murthy, D. N. Pra
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Univ Queensland, Div Mech Engn, Brisbane, Qld 4072, AustraliaHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
Murthy, D. N. Pra
Xie, Min
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Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 119260, SingaporeHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
Xie, Min
Tang, Loon-Ching
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Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 119260, SingaporeHong Kong Polytech Univ, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
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Beijing Jiaotong Univ, Sch Econ & Management, Dept Logist Management, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Econ & Management, Dept Logist Management, Beijing 100044, Peoples R China
Hua, Guowei
Wang, Shouyang
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Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R ChinaBeijing Jiaotong Univ, Sch Econ & Management, Dept Logist Management, Beijing 100044, Peoples R China
Wang, Shouyang
Cheng, T. C. E.
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Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaBeijing Jiaotong Univ, Sch Econ & Management, Dept Logist Management, Beijing 100044, Peoples R China