A Constraint Programming Formulation of the Multi-Mode Resource-Constrained Project Scheduling Problem for the Flexible Job Shop Scheduling Problem

Francisco Yuraszeck, Elizabeth Montero, Dario Canut-De-Bon, Nicolas Cuneo, Maximiliano Rojel

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this work, a constraint programming (CP) formulation of the multi-mode resource-constrained project scheduling problem (MMRCPSP) is proposed for solving the flexible job shop scheduling problem (FJSSP) under the makespan minimization criterion. The resulting CP model allows us to tackle the classical instances of the FJSSP (such as where the operations of a given job follow a linear order). It can also handle FJSSP instances where the precedence relationships between operations are defined by an arbitrary directed acyclic graph (sequencing flexibility). The performance of our approach was tested using 271 classical FJSSP instances and 50 FJSSP instances with sequencing flexibility. We establish the validity of our approach by achieving an average relative percentage deviation of 3.04% and 0.18% when compared to the best-known lower and upper bounds, respectively. Additionally, we were able to contribute to the literature with ten new lower bounds and two new upper bounds. Our CP approach is relatively simple yet competitive and can be quickly applied and adapted by new practitioners in the area.

Original languageEnglish
Pages (from-to)144928-144938
Number of pages11
JournalIEEE Access
Volume11
DOIs
Publication statusPublished - 2023

Keywords

  • Constraint programming
  • FJSSP
  • flexible job shop
  • job shop
  • JSSP
  • MMRCPSP
  • multi-mode resource-constrained project scheduling problem
  • sequencing flexibility

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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