Journal ArticleDOI
Hybrid flow shop scheduling considering machine electricity consumption cost
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TLDR
The results from computational experiments indicate that the efficiency and effectiveness of the proposed MOACO are comparable to NSGA-II and SPEA2 and shows that durations of TOU periods and processing speed of machines have great influence on scheduling results as longer off-peak period and use of faster machines provide more flexibility for shifting high-energy operations to off- peak periods.About:
This article is published in International Journal of Production Economics.The article was published on 2013-12-01. It has received 315 citations till now. The article focuses on the topics: Flow shop scheduling & Job shop scheduling.read more
Citations
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Journal ArticleDOI
Optimizing the production scheduling of a single machine to minimize total energy consumption costs
TL;DR: Considering variable energy prices during one day, a mathematical model to minimize energy consumption costs for single machine production scheduling during production processes was proposed in this paper, where genetic algorithm technology has been utilized.
Journal ArticleDOI
Energy-efficient scheduling in manufacturing companies: A review and research framework
TL;DR: The purpose of this paper is to develop a research framework for “energy-efficient scheduling” (EES) and provide an empirical analysis of the reviewed literature and emphasize the benefits that can be achieved by EES in practice.
Journal ArticleDOI
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
Shan Ren,Yingfeng Zhang,Yang Liu,Yang Liu,Tomohiko Sakao,Donald Huisingh,Cecília M.V.B. Almeida +6 more
TL;DR: Smart manufacturing has received increased attention from academia and industry in recent years, as it provides competitive advantage for manufacturing companies making industry more efficient and more efficient as discussed by the authors. But, the benefits of smart manufacturing are limited.
Journal ArticleDOI
Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption
Rui Zhang,Raymond Chiong +1 more
TL;DR: In this article, a multi-objective genetic algorithm was proposed to solve the job shop scheduling problem, and two problem-specific local improvement strategies were proposed to enhance the solution quality by utilizing the mathematical models derived from the original problem.
Journal ArticleDOI
Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
TL;DR: This work investigates an energy-efficient PFSP with sequence-dependent setup and controllable transportation time from a real-world manufacturing enterprise and proposes a hybrid multi-objective backtracking search algorithm (HMOBSA) to solve this problem.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
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Ant system: optimization by a colony of cooperating agents
TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Book ChapterDOI
Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey
TL;DR: In this article, the authors survey the state of the art with respect to optimization and approximation algorithms and interpret these in terms of computational complexity theory, and indicate some problems for future research and include a selective bibliography.
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Inspiration for optimization from social insect behaviour
TL;DR: Research in social insect behaviour has provided computer scientists with powerful methods for designing distributed control and optimization algorithms that tend to exhibit a high degree of flexibility and robustness in a dynamic environment.
Journal ArticleDOI
The ant system applied to the quadratic assignment problem
TL;DR: A distributed heuristic algorithm that was inspired by the observation of the behavior of ant colonies is described and its use for the quadratic assignment problem is proposed.