Dual-Resource Constraints in Classical and Flexible Job Shop Problems: A State-of-the-Art Review
Author(s) -
Mondher Dhiflaoui,
Houssem Eddine Nouri,
Olfa Belkahla Driss
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.08.123
Subject(s) - computer science , job shop , job shop scheduling , flow shop scheduling , scheduling (production processes) , mathematical optimization , industrial engineering , schema (genetic algorithms) , dual (grammatical number) , operations research , distributed computing , machine learning , schedule , mathematics , operating system , art , literature , engineering
The Job shop Scheduling Problem (JSP) is one of the most known problems in the domain of the production task scheduling. The Dual-Resource Constrained Job shop Scheduling Problem (DRCJSP) and the Dual-Resource Constrained Flexible Job shop Scheduling Problem (DRCFJSP) are two extensions of the classical JSP consisting of three sub-problems: (i) Assigning operations to resources of machines, (ii) Assigning operations to resources of workers; (iii) Sequencing the operations on the machines considering workers in order to optimize the performance measure. In this paper, we make a state-of-the-art review of the different works proposed for the DRCJSP and DRCFJSP, where we present a new classification schema according to six criteria such as the used method, the machine flexibility, the worker flexibility, the optimization criteria, the implemented approaches, and the structure of the approach.
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