Lot-Sizing Heuristics

  • Dinesh Shenoy
  • Roberto Rosas


In this chapter, we discuss lot-sizing heuristics that can be used to manage inventory of a single item whose demand varies from period to period. Because the demand is not constant the classical EOQ formula cannot be applied. Several heuristics are found in literature. The popular ones that have been considered in this chapter are (1) lot-for-lot method, (2) part-period balancing method, (3) least unit cost method, (4) silver-meal method, and (5) Wagner-Whitin method. The primary goal of these heuristics is to determine the lot size that would minimize the total ordering and carrying costs. Depending on the situation, one of these heuristics can be implemented to obtain least cost inventory management solution.


Lot sizing heuristic Lot for lot Part period balancing Silver-meal Least unit cost Wagner-Whitin 


  1. Nahmias, S. (2005). Production and operations analysis (5th ed.). Boston: McGraw-Hill International Edition.Google Scholar
  2. Silver, E. A., & Meal, H. C. (1973). A heuristic for selecting lot size quantities for the case of a deterministic time-varying demand rate and discrete opportunities for replenishment. Production and Inventory Management, 14(2), 64–74.Google Scholar
  3. Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory management and production planning and scheduling (Third ed.). New York: Wiley.Google Scholar
  4. Sreekumar, M. D., Reddy, C. E., & Chetty, O. V. K. (1991). An improved lot sizing policy for variable demand. In S. N. Dwivedi, A. K. Verma, & J. E. Sneckenberger (Eds.), CAD/CAM robotics and factories of the future ‘90. Berlin, Heidelberg: Springer.Google Scholar
  5. Srinivasan, G. (2010). Quantitative models in operations and supply chain management. New Delhi: PHI Learning Pvt. Ltd.Google Scholar
  6. Wagner, H. M., & Whitin, T. (1958). Dynamic version of economic lot-size model. Management Science, 5(1), 89–96.MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Dinesh Shenoy
    • 1
  • Roberto Rosas
    • 1
  1. 1.Tecnológico de MonterreyCampus LeónMexico

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