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Journal of the Operational Research Society Volume 33, 1982 - Issue 2
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Technical Note

Reorder Levels for Lumpy Demand

T. M. WilliamsDepartment of Operational ResearchUniversity of StrathclydeGlasgow
Pages 185-189 | Published online: 20 Dec 2017

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R H Teunter & L Duncan. (2009) Forecasting intermittent demand: a comparative study. Journal of the Operational Research Society 60:3, pages 321-329.
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Z S Hua, B Zhang, J Yang & D S Tan. (2007) A new approach of forecasting intermittent demand for spare parts inventories in the process industries. Journal of the Operational Research Society 58:1, pages 52-61.
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Articles from other publishers (17)

R. Babajanivalashedi, A. Baboli, M. K. Shahzad & R. Tonadre. (2018) A Predictive Approach to Define the Best Forecasting Method for Spare Parts: A Case Study in Business Aircrafts’ Industry. A Predictive Approach to Define the Best Forecasting Method for Spare Parts: A Case Study in Business Aircrafts’ Industry.
S. P. Sarmah & Umesh Chandra Moharana. 2018. Handbook of Research on Promoting Business Process Improvement Through Inventory Control Techniques. Handbook of Research on Promoting Business Process Improvement Through Inventory Control Techniques 534 558 .
Intan Dewi Melinda & Wakhid Ahmad Jauhari. A critical spare part inventory control based on hazard function approach: A case study in a garment company. A critical spare part inventory control based on hazard function approach: A case study in a garment company.
Bimal Nepal, Alper Murat & Ratna Babu Chinnam. (2012) The bullwhip effect in capacitated supply chains with consideration for product life-cycle aspects. International Journal of Production Economics 136:2, pages 318-331.
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José Roberto do Rego & Marco Aurélio de Mesquita. (2011) Controle de estoque de peças de reposição em local único: uma revisão da literatura. Production 21:4, pages 645-666.
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Emilio Bartezzaghi & Matteo Kalchschmidt. 2011. Service Parts Management. Service Parts Management 89 104 .
David Bucher & Joern Meissner. 2011. Service Parts Management. Service Parts Management 203 219 .
M.Z. Babai, Z. Jemai & Y. Dallery. (2009) Approximations of Order-Up-To-Levels in Inventory Systems with Compound Poisson Demand. IFAC Proceedings Volumes 42:4, pages 810-815.
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Matteo Kalchschmidt, Roberto Verganti & Giulio Zotteri. (2006) Forecasting demand from heterogeneous customers. International Journal of Operations & Production Management 26:6, pages 619-638.
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Thomas R. Willemain, Charles N. Smart & Henry F. Schwarz. (2004) A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting 20:3, pages 375-387.
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I.Nyoman Pujawan & Brian G Kingsman. (2003) Properties of lot-sizing rules under lumpy demand. International Journal of Production Economics 81-82, pages 295-307.
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Matteo Kalchschmidt, Giulio Zotteri & Roberto Verganti. (2003) Inventory management in a multi-echelon spare parts supply chain. International Journal of Production Economics 81-82, pages 397-413.
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Snehamay Banerjee, Avijit Banerjee, Jonathan Burton & William Bistline. (2001) Controlled partial shipments in two-echelon supply chain networks: a simulation study. International Journal of Production Economics 71:1-3, pages 91-100.
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Emilio Bartezzaghi, Roberto Verganti & Giulio Zotteri. (1999) Measuring the impact of asymmetric demand distributions on inventories. International Journal of Production Economics 60-61, pages 395-404.
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Avijit Banerjee, Jonathan Burton & Snehamay Banerjee. (1996) Heuristic production triggering mechanisms under discrete unequal inventory withdrawals. International Journal of Production Economics 45:1-3, pages 83-90.
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Thomas R. Willemain, Charles N. Smart, Joseph H. Shockor & Philip A. DeSautels. (1994) Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method. International Journal of Forecasting 10:4, pages 529-538.
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T.M. Williams. (1984) Special products and uncertainty in production/inventory systems. European Journal of Operational Research 15:1, pages 46-54.
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