In this study, an optimal integrated vendor-buyer inventory model with defective items is proposed. Most researches on defective items assumed that an inspection process was carried out by the buyer. We consider that the vendor conducts the inspection process and disposes defective items in multiple batches. We prove that the function of annual cost is convex, and obtain closed-form expressions. A solution procedure is used to derive the optimal order quantity, the number of shipments, and the number of defective item disposals. Numerical examples are provided to illustrate our model. Setting the fraction of defective items to zero, the numerical examples indicate that the proposed model can result in the solutions to the existing models without considering defective items. Moreover, a sensitivity analysis is used to reveal the effects of cost parameters on the optimal solution. We show that when the disposal cost is relatively low, a multiple disposals strategy may perform better than a single disposal strategy. (C) 2018 Sharif University of Technology. All rights reserved.
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Pricing Science and Engineering Department, FedEx Express World Headquarters, 3640 Hacks Cross Road, Memphis, TN 38125, United StatesPricing Science and Engineering Department, FedEx Express World Headquarters, 3640 Hacks Cross Road, Memphis, TN 38125, United States
Tan, Yang
Weng, Michael X.
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Department of Industrial and Management Systems Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, United StatesPricing Science and Engineering Department, FedEx Express World Headquarters, 3640 Hacks Cross Road, Memphis, TN 38125, United States
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Virginia Tech, Dept Ind & Syst Engn, 250 Durham Hall,1145 Perry St, Blacksburg, VA 24060 USAVirginia Tech, Dept Ind & Syst Engn, 250 Durham Hall,1145 Perry St, Blacksburg, VA 24060 USA
Kulkarni, Kartik
Bansal, Manish
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Virginia Tech, Dept Ind & Syst Engn, 250 Durham Hall,1145 Perry St, Blacksburg, VA 24060 USAVirginia Tech, Dept Ind & Syst Engn, 250 Durham Hall,1145 Perry St, Blacksburg, VA 24060 USA
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Natl Univ Singapore, Logist Inst Asia Pacific, 21 Heng Mui Keng Terrace, Singapore 119613, SingaporeNatl Univ Singapore, Logist Inst Asia Pacific, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore
Tiwari, Sunil
Wee, Hui-Ming
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Chung Yuan Christian Univ, Dept Ind & Syst Engn, 200 Chung Pei Rd, Taoyuan 32023, TaiwanNatl Univ Singapore, Logist Inst Asia Pacific, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore
Wee, Hui-Ming
Sarkar, Sumon
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Jadavpur Univ, Dept Math, Kolkata, IndiaNatl Univ Singapore, Logist Inst Asia Pacific, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore