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Original Articles

Multi Item Single Level Capacitated Dynamic Lotsizing Heuristics: A Computational Comparison (Part I: Static Case)

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Pages 114-123 | Received 01 May 1985, Published online: 09 Jul 2007
 

Abstract

The multi item single level capacitated dynamic lotsizing problem consists of scheduling N items over a horizon of T periods. Demands are given and should be satisfied without backlogging. The objective is to minimize the sum of setup costs and inventory holding costs over the horizon subject to a constraint on total capacity in each period. Three simple heuristics from literature (Lambrecht and Vanderveken, Dixon and Silver, Dogramaci, Panayiotopoulos and Adam) are compared on a large set of test problems and their difference in performance is analyzed for various problem parameters.

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