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IIE Transactions Volume 30, 1998 - Issue 11
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ORIGINAL ARTICLES

Periodic review and joint replenishment in stochastic demand environments

AMIT EYNAN John M. Olin School of Business, Washington University, St. Louis, MO, 63130, USA E-mail: [email protected]
&
DEAN H. KROPP John M. Olin School of Business, Washington University, St. Louis, MO, 63130, USA E-mail: [email protected]
Pages 1025-1033 | Received 01 Sep 1995, Accepted 01 Aug 1997, Published online: 31 May 2007

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Carlos Otero-Palencia, René Amaya–Mier & Ruben Yie-Pinedo. (2019) A stochastic joint replenishment problem considering transportation and warehouse constraints with gainsharing by Shapley Value allocation. International Journal of Production Research 57:10, pages 3036-3059.
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He-Yau Kang, Amy H.I. Lee, Chien-Wei Wu & Cheng-Han Lee. (2017) An efficient method for dynamic-demand joint replenishment problem with multiple suppliers and multiple vehicles. International Journal of Production Research 55:4, pages 1065-1084.
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Kai-Chuan Yang & Candace Arai Yano. (2017) Multi-product (R, T) inventory policies with short-shipping: Enabling fixed order intervals and well-utilized vehicles under random demand. IISE Transactions 49:2, pages 209-222.
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Hardik N. Soni & Manisha Joshi. (2015) A Periodic Review Inventory Model with Controllable Lead Time and Backorder Rate in Fuzzy-stochastic Environment. Fuzzy Information and Engineering 7:1, pages 101-114.
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Young M. Lee, Feng Cheng & Ying Tat Leung. (2009) A quantitative view on how RFID can improve inventory management in a supply chain. International Journal of Logistics Research and Applications 12:1, pages 23-43.
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Xiaotian Zhuang, Zhenyu Gao, Yuli Zhang, Qian Zhang & Shengnan Wu. (2023) Stochastic Joint Replenishment Optimization under Joint Inbound Operational Cost. Journal of Systems Science and Systems Engineering.
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Yue Zhang & Hao-Wei Chen. (2022) A min-max policy for multi-item joint inventory replenishment problem: Application to industrial vending machines. Computers & Industrial Engineering 172, pages 108633.
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Ligang Cui, Jie Deng, Rui Liu, Dongyang Xu, Yajun Zhang & Maozeng Xu. (2020) A stochastic multi-item replenishment and delivery problem with lead-time reduction initiatives and the solving methodologies. Applied Mathematics and Computation 374, pages 125055.
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Ligang Cui, Jie Deng, Yajun Zhang, Guofeng Tang & Maozeng Xu. (2020) Hybrid differential artificial bee colony algorithm for multi-item replenishment-distribution problem with stochastic lead-time and demands. Journal of Cleaner Production 254, pages 119873.
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Ligang Cui, Jie Deng, Yajun Zhang, Zijian Zhang & Maozeng Xu. (2020) The bare-bones differential evolutionary for stochastic joint replenishment with random number of imperfect items. Knowledge-Based Systems 193, pages 105416.
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Fernando Rojas. (2019) A joint replenishment supply model for multi-products grouped by several variables with random and time dependence demand. Journal of Modelling in Management 15:1, pages 276-296.
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Ligang Cui, Yajun Zhang, Jie Deng & Maozeng Xu. (2018) A novel multi-item joint replenishment problem considering multiple type discounts. PLOS ONE 13:6, pages e0194738.
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Li Jiying & Ji Zhihong. (2017) Joint replenishment problem of military aircraft consumptive items under resource constraint. Joint replenishment problem of military aircraft consumptive items under resource constraint.
Edwards A. Silver, David F. Pyke & Douglas J. Thomas. 2016. Inventory and Production Management in Supply Chains. Inventory and Production Management in Supply Chains 435 486 .
Ting Zhang, Ting Qu, George Q. Huang, Xin Chen & Zongzhong Wang. (2016) Sizing, pricing and common replenishment in a headquarter-managed centralized distribution center. Industrial Management & Data Systems 116:6, pages 1086-1104.
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Kostas Bimpikis & Mihalis G. Markakis. (2016) Inventory Pooling Under Heavy-Tailed Demand. Management Science 62:6, pages 1800-1813.
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Qinan Wang & Sven Axsäter. (2013) Fixed-interval joint-replenishment policies for distribution systems with multiple retailers and stochastic demand. Naval Research Logistics (NRL) 60:8, pages 637-651.
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Ting Zhang, George Q. Huang, Ting Qu & Zhi Li. (2013) Headquarter-centered common sourcing management through order coordination and consolidation. Computers & Operations Research 40:8, pages 2011-2025.
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Georgiana Brinza. (2012) Simulation and Optimization in Supply Chain. Procedia Economics and Finance 3, pages 635-641.
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Saibal Ray, Yuyue Song & Manish Verma. (2010) Comparison of two periodic review models for stochastic and price-sensitive demand environment. International Journal of Production Economics 128:1, pages 209-222.
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Bogdan C. Bichescu & Michael J. Fry. (2009) A numerical analysis of supply chain performance under split decision rights. Omega 37:2, pages 358-379.
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Moutaz Khouja & Suresh Goyal. (2008) A review of the joint replenishment problem literature: 1989–2005. European Journal of Operational Research 186:1, pages 1-16.
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Edward A. Silver & David J. Robb. (2008) Some insights regarding the optimal reorder period in periodic review inventory systems. International Journal of Production Economics 112:1, pages 354-366.
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Amit Eynan & Dean H. Kropp. (2007) Effective and simple EOQ-like solutions for stochastic demand periodic review systems. European Journal of Operational Research 180:3, pages 1135-1143.
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Keli Feng & Uday S. Rao. (2007) Echelon-stock () control in two-stage serial stochastic inventory systems. Operations Research Letters 35:1, pages 95-104.
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Eric Porras Musalem & Rommert Dekker. (2005) Controlling inventories in a supply chain: A case study. International Journal of Production Economics 93-94, pages 179-188.
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Guoyu Tu, P.B. Luh, Qianchuan Zhao & R.N. Tomastik. (2004) An optimization method for joint replacement decisions in maintenance. An optimization method for joint replacement decisions in maintenance.
Uday S. Rao. (2003) Properties of the Periodic Review (R, T) Inventory Control Policy for Stationary, Stochastic Demand. Manufacturing & Service Operations Management 5:1, pages 37-53.
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Jayashankar M. Swaminathan & Sridhar R. Tayur. 2003. Supply Chain Management: Design, Coordination and Operation. Supply Chain Management: Design, Coordination and Operation 423 454 .

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