Efficient heuristics for dynamic lot sizing

Klaus Zoller · Andreas Dieter Robrade

29 citations0/0 files storedInternational Journal of Production Research

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Supply Chain and Inventory Management Management and Optimization Techniques Scheduling and Optimization Algorithms

Abstract

Dynamic lot sizing heuristics commonly implemented in standard MRP software perform well under conditions of systematic demand only. A survey and numerical test of methods proposed in the literature shows that techniques are available which cope efficiently with both systematic and erratic demand. The paper discusses theoretical and practical ramifications of the dynamic lot sizing problem, surveys heuristics published in the U.S. and West German literature, reports summarily on the findings of extensive simulation experiments involving these heuristics, and, as a conclusion from analytical and numerical results, proposes an algorithm which enhances performance under conditions of erratic demand.

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1960Forecasting Sales by Exponentially Weighted Moving Averages 1958Dynamic Version of the Economic Lot Size Model 2004Dynamic Version of the Economic Lot Size Model 1983Production and inventory management 1980HEURISTIC LOT‐SIZING PERFORMANCE IN A ROLLING‐SCHEDULE ENVIRONMENT*1968An economic lot-sizing technique, I: The part-period algorithm 1985Note—Performance Bounds for Lot Sizing Heuristics 1968An economic lot-sizing technique, II: Mathematical analysis of the part-period algorithm

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1993Effects of Product Structure Complexity on Multi‐level Lot Sizing*2017Stabilized‐Cycle Strategy for Capacitated Lot Sizing with Multiple Products: Fill‐Rate Constraints in Rolling Schedules 2015Efficient formulation and heuristics for multi-item single source ordering problem with transportation cost 2009Inventory control as a discrete system control for the fixed-order quantity system 1998Dynamic lot-sizing with price changes and price-dependent holding costs

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