Simulation Optimization for the Stochastic Economic Lot Scheduling Problem with Sequence-Dependent Setup Times

Nils Löhndorf, Manuel Riel, Stefan Minner

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung

43 Downloads (Pure)

Abstract

We consider the stochastic economic lot scheduling problem (SELSP) with lost sales and random demand, where switching between products is subject to sequence-dependent setup times. We propose a solution based on simulation optimization using an iterative two-step procedure which combines global policy search with local search heuristics for the traveling salesman sequencing subproblem. To optimize the production cycle, we compare two criteria: minimizing total setup times and evenly distributing setups to obtain a more regular production cycle. Based on a numerical study, we find that a policy with a balanced production cycle outperforms other policies with unbalanced cycles.
OriginalspracheEnglisch
Seiten (von - bis)170 - 176
FachzeitschriftInternational Journal of Production Economics
Jahrgang157
DOIs
PublikationsstatusVeröffentlicht - 2014

Zitat