Single-item repairable inventory system with stochastic new and warranty demands
被引:5
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作者:
Lin, Yizhong
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机构:
Jiaxing Univ, Coll Business, Jiaxing, Peoples R ChinaJiaxing Univ, Coll Business, Jiaxing, Peoples R China
Lin, Yizhong
[1
]
Leung, Janny M. Y.
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机构:
Univ Macau, Choi Kai Yau Coll, Macau, Peoples R ChinaJiaxing Univ, Coll Business, Jiaxing, Peoples R China
Leung, Janny M. Y.
[2
]
Zhang, Lianmin
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机构:
Nanjing Univ, Sch Management & Engn, Nanjing, Peoples R China
Shenzhen Res Inst Big Data, Shenzhen, Peoples R ChinaJiaxing Univ, Coll Business, Jiaxing, Peoples R China
Zhang, Lianmin
[3
,4
]
Gu, Jia-Wen
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机构:
Southern Univ Sci & Technol, Dept Math, Shenzhen, Peoples R ChinaJiaxing Univ, Coll Business, Jiaxing, Peoples R China
Gu, Jia-Wen
[5
]
机构:
[1] Jiaxing Univ, Coll Business, Jiaxing, Peoples R China
[2] Univ Macau, Choi Kai Yau Coll, Macau, Peoples R China
[3] Nanjing Univ, Sch Management & Engn, Nanjing, Peoples R China
[4] Shenzhen Res Inst Big Data, Shenzhen, Peoples R China
[5] Southern Univ Sci & Technol, Dept Math, Shenzhen, Peoples R China
This paper analyses a multi-period single-item repairable inventory system with stochastic new and warranty demands. We assume that newly-procured items are indistinguishable from items repaired from repairable warranty returns and new demand has higher priority than warranty demand within a period. Our model also captures the "repair loss" in repairing returns in each period. We formulate the problem by a dynamic programme, and prove that the optimal policy is completely defined by three period-dependent thresholds: the purchase-up-to level, the repair-up-to level, and the scrap-down-to level. Numerical results demonstrate the effectiveness of the optimal policy and show that our optimal strategy outperforms the repair-all strategy and no-repair strategy. Managerial insights are also generated.