A genetic algorithm embedded with a concise chromosome representation for distributed and flexible job-shop scheduling problems

PH Lu, MC Wu, H Tan, YH Peng, CF Chen - Journal of Intelligent …, 2018 - Springer
This paper proposes a genetic algorithm GA\_JS GA _ JS for solving distributed and flexible
job-shop scheduling (DFJS) problems. A DFJS problem involves three scheduling …

A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm

S Vitayasak, P Pongcharoen, C Hicks - International Journal of Production …, 2017 - Elsevier
Facility layout problems (FLP) involve determining the optimal placement of machines within
a fixed space. An effective layout minimises costs. The total material travel distance is a key …

Dynamic coordinated scheduling for supply chain under uncertain production time to empower smart production for Industry 3.5

T Jamrus, HK Wang, CF Chien - Computers & Industrial Engineering, 2020 - Elsevier
To empower smart production for supply chain management, scheduling coordination and
integration between suppliers, manufacturers, distributors, and customers is becoming …

[HTML][HTML] A matheuristic for parallel machine scheduling with tool replacements

QV Dang, T van Diessen, T Martagan, I Adan - European Journal of …, 2021 - Elsevier
This paper addresses the problem of scheduling a set of jobs with tool requirements on
identical parallel machines in a work center. This problem considers the following …

Accumulated risk of body postures in assembly line balancing problem and modeling through a multi-criteria fuzzy-genetic algorithm

HR Cheshmehgaz, H Haron, F Kazemipour… - Computers & Industrial …, 2012 - Elsevier
Monotonous body postures during repetitive jobs negatively affect assembly-line workers
with the developing of Work-related Musculoskeletal Disorders (WMSDs). Ergonomics …

Fuzzy gear shifting control optimisation to improve vehicle performance, fuel consumption and engine emissions

JJ Eckert, FM Santiciolli, RY Yamashita… - IET Control Theory & …, 2019 - Wiley Online Library
This study presents a multiobjective optimisation applied to the gear shifting fuzzy control of
a vehicle equipped with an automated manual transmission (AMT), aiming to improve …

When should advanced planning and scheduling systems be used in sales and operations planning?

LK Ivert, P Jonsson - International Journal of Operations & Production …, 2014 - emerald.com
Purpose The purpose of this paper is to explore how the context affects successful use of
advanced planning and scheduling (APS) systems in sales and operations planning (S&OP) …

Design of an efficient genetic algorithm for resource-constrained unrelated parallel machine scheduling problem with machine eligibility restrictions

M Afzalirad, M Shafipour - Journal of Intelligent Manufacturing, 2018 - Springer
This study addresses a resource-constrained unrelated parallel machine scheduling
problem with machine eligibility restrictions. Majority of the traditional scheduling problems …

Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications

L Lin, M Gen - International Journal of Production Research, 2018 - Taylor & Francis
Evolutionary Algorithms (EAs) has attracted significantly attention with respect to complexity
scheduling problems, which is referred to evolutionary scheduling. However, EAs differ in …

Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design

M Gen, L Lin, YS Yun, H Inoue - Computers & Industrial Engineering, 2018 - Elsevier
Abstract Design and optimization of logistics and supply chain management (SCM) network
is very important issue, which plans, implements and controls the efficient, effective forward …