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Journal of the Operational Research Society Volume 66, 2015 - Issue 12
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General Paper

Determining the optimal procurement policy and maximum allowable lifespan for machining tools with stochastically distributed toollife

Cun Rong LiWuhan University of TechnologyWuhan CityP.R. China
,
Xiao Long ChenWuhan University of TechnologyWuhan CityP.R. China
,
Bhaba R SarkerLouisiana State UniversityBaton RougeUSA
&
Hui Zhi YiNorthwestern State UniversityNatchitochesUSA
Pages 2050-2060 | Received 01 Nov 2013, Accepted 25 Mar 2015, Published online: 21 Dec 2017

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Read on this site (2)

To-Cheng Wang, Ming-Hung Shu, Bi-Min Hsu & Chih-Wei Hsu. (2022) Adjustable variables multiple-dependent-state sampling plans based on a process capability index. Journal of the Operational Research Society 73:12, pages 2626-2639.
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Md Shahriar Jahan Hossain$suffix/text()$suffix/text() & Bhaba R. Sarker. (2022) Inventory policy and magazine reloading schedule optimisation for cutting tools in pipe manufacturing. International Journal of Production Research 60:16, pages 5029-5050.
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Articles from other publishers (3)

Ata Allah Taleizadeh, Hamid Reza Zarei & Shib Sankar Sana. (2021) Optimal control of an inventory system under whole sale price changes. RAIRO - Operations Research 55, pages S289-S305.
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Bin Xiao & Chang Liu. (2020) Joint Ordering and Inventory Decision Model with Multi-item Life-limiting Consumable Materials. Joint Ordering and Inventory Decision Model with Multi-item Life-limiting Consumable Materials.
Cun Rong Li, Bhaba R. Sarker, Geng Cui, Xiao Long Chen & Wan Li Luo. (2019) An optimal procurement policy for multiple consumable accessories with different lifespan distributions. Computers & Industrial Engineering 127, pages 143-157.
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