The findings demonstrate how mathematical optimization and advanced metaheuristics can be combined with problem-specific structural insights to improve solution quality and computational efficiency in production and operations research.
The hybrid flow shop scheduling problem (HFSP) with unrelated parallel machines (UPMs), sequence-dependent setup times (SDSTs), and inter-stage transportation times has recently emerged as a prominent research topic. To address this scheduling problem with the objective of minimizing the maximum completion time (makesp...
This work establishes a polynomial equivalence between JSC and a variant of the resource-constrained job shop problem with unit-capacity resources and proposes a genetic algorithm using permutation-with-repetition encoding and active, non-delay, and hybrid schedule evaluation procedures.
This paper revisits the problem of finding fair solutions to repetitive scheduling problems with a single machine and resolves three questions and identifies several additional directions for future research.
Moran Koren, Michael L. Pinedo, D. Shabtay· 0 citations
Multiproduct lot-sizing and scheduling in single-machine or single-resource environments constitutes a classical and still relevant problem in the field of operations management. It requires coordinating lot-size decisions, production scheduling or sequencing, and the use of a constrained production resource, under set...
F. Jones, P. I. Vidal-Carreras· WPOM : Working Papers on Ope...· 1 citation
An in-depth analysis of job sequencing in flow-shop scheduling problems, with a focus on exploring alternative mean-based techniques alongside the classical Johnson’s method, highlights that mean based methods can serve as viable alternatives to Johnson’s method, offering flexibility in sequencing decisions while retai...