arrow
Return

A constraint programming-based decomposition procedure for shop scheduling problems

delete2026-08-24
delete0
PRE
AI
F
Francisco Yuraszeck *
G
Gonzalo Mejía
D
Daniel Alejandro Rossit
A
Armin Lüer‐Villagra
DOI:10.1080/00207543.2026.2719849delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, we propose a two-phase constraint programming (CP) based algorithm to obtain high-quality lower and upper bounds for classical scheduling problems under the makespan minimisation criterion. The method relies on a resource-constrained project scheduling problem (RCPSP) formulation that incorporates a decomposition approach and a warm-start mechanism exploiting the problem structure to derive competitive bounds. We evaluate our approach on 280 instances of the non-permutation flow shop scheduling problem (NPFSSP) and the job shop scheduling problem (JSSP), comprising 120 and 160 instances, respectively. A comprehensive computational analysis shows that the proposed decomposition approach (DA) is highly competitive in terms of optimality gap and relative percentage deviation with respect to both the lower and upper bounds, outperforming a direct solution (DS) approach commonly used in industrial practice. DA consistently dominates DS across most instance subsets, both in average performance and in variability. We further validate our approach on 20 real-world industrial instances featuring non-rectangular job structures, job recirculation, and unbalanced machine workloads, reaching the optimal makespan on all instances in an average of 251 s. By obtaining highly competitive bounds, our proposed decomposition procedure increases managerial confidence when committing to due dates, allocating workloads, or evaluating whether additional capacity is required.
Keywords:
Scheduling
constraint programming
job shop
flow shop
warm-start
CP Optimizer
ADVANCED PLANNING AND SCHEDULING SYSTEMS
FLOW SHOP SCHEDULING
JOB SHOP SCHEDULING

Journal

International Journal of Production Research cover
International Journal of Production Research
IF:
7.3
Papers:
1.1W
Citations:
3.7W

Organization

Universidad Nacional del Sur cover
Universidad Nacional del Sur
Scholars:
174
Papers: 71
Citations: 1.4K
Universidad Andrés Bello cover
Universidad Andrés Bello
Scholars:
557
Papers: 286
Citations: 3.6K
U
Universidad de La Sabana
Scholars:
1.6K
Papers: 870
Citations: 741
researcher View more organizations
Cited Papers

Cited Papers

Manufacturing Scheduling Systems
err
IF0
err2014-01-01
err0
PREAI
errJose M. Framinan; Rainer Leisten; Rubén Ruiz García
errShare
errSave
An Advanced Tabu Search Algorithm for the Job Shop Problem
err2005-04-01
err0
PREAI
errEugeniusz Nowicki; Czes?aw Smutnicki
errShare
errSave
The MIP Workshop 2023 Computational Competition on reoptimization
err2024-06-06
err0
errOAAI
errBolusani, Suresh; Besancon, Mathieu; Gleixner, Ambros; Berthold, Timo; D'Ambrosio, Claudia; Munoz, Gonzalo; Paat, Joseph; Thomopulos, Dimitri
errShare
errSave
researcher View more