A heuristic approach for big bucket multi-level production planning problems

Akartunali, Kerem and Miller, Andrew (2009) A heuristic approach for big bucket multi-level production planning problems. European Journal of Operational Research, 193 (2). pp. 396-411. ISSN 0377-2217 (https://doi.org/10.1016/j.ejor.2007.11.033)

[thumbnail of strathprints018806]
Preview
Text. Filename: strathprints018806.pdf
Accepted Author Manuscript

Download (219kB)| Preview

Abstract

Multi-level production planning problems in which multiple items compete for the same resources frequently occur in practice, yet remain daunting in their difficulty to solve. In this paper, we propose a heuristic framework that can generate high quality feasible solutions quickly for various kinds of lot-sizing problems. In addition, unlike many other heuristics, it generates high quality lower bounds using strong formulations, and its simple scheme allows it to be easily implemented in the Xpress-Mosel modeling language. Extensive computational results from widely used test sets that include a variety of problems demonstrate the efficiency of the heuristic, particularly for challenging problems.

ORCID iDs

Akartunali, Kerem ORCID logoORCID: https://orcid.org/0000-0003-0169-3833 and Miller, Andrew;