Attaining flexibility in seru production system by means of Shojinka: an optimization model and solution approaches

DOI10.1016/j.cor.2020.104917zbMath1458.90240OpenAlexW3007430882MaRDI QIDQ2177814

Omer Faruk Yilmaz

Publication date: 6 May 2020

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2020.104917

zbMATH Keywords

genetic algorithmoperational strategiesseru production systemShojinkaworkers' heterogeneity

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (5)

Scheduling problem in seru production system considering DeJong's learning effect and job splitting ⋮ Modelling and a hybrid genetic algorithm for the equity-oriented worker assignment problem in seru production systems ⋮ Reducing tardy batches by \textit{seru} production: model, exact solution, cooperative coevolution solution, and insights ⋮ An exact branch-and-bound algorithm for \textit{seru} scheduling problem with sequence-dependent setup time and release date ⋮ Discrete self-organizing migration algorithm and p-location problems

Cites Work

• A multi-level genetic algorithm for a multi-stage space allocation problem
• Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation
• A genetic algorithm for the hybrid flow shop scheduling with unrelated machines and machine eligibility
• Mathematical analysis and solutions for multi-objective line-cell conversion problem
• Modeling and numerical analysis of line-cell conversion problems

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