Journal ArticleDOI
Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm
TLDR
A mathematical model to minimize energy consumption and reduce total completion time of a single machine is proposed, and a multiobjective genetic algorithm is utilized to obtain an approximate set of nondominated alternatives.Abstract:
Energy is an expensive resource that is becoming more scarce with increasing population and demand. In this paper, a mathematical model to minimize energy consumption and reduce total completion time of a single machine is proposed, and a multiobjective genetic algorithm is utilized to obtain an approximate set of nondominated alternatives. Furthermore, dominance rules and a heuristic are proposed to increase the speed of the proposed genetic algorithm. Finally, the analytical hierarchical process is utilized to select a solution with some additional criteria.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
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.
Journal ArticleDOI
Sustainability in manufacturing operations scheduling: A state of the art review
TL;DR: A state-of-the-art review of the literature on sustainable manufacturing operations scheduling can be found in this article, where the relevant challenges and issues are discussed in depth, and subsequently urgent problems that must be solved through research in order to meet industry requirements are pointed out.
Journal ArticleDOI
An energy-efficient multi-objective optimization for flexible job-shop scheduling problem
Hadi Mokhtari,Aliakbar Hasani +1 more
TL;DR: A multi-objective optimization model is developed with three objective functions: minimizing total completion time, maximizing the total availability of the system, and minimizing total energy cost of both production and maintenance operations in the FJSP.
References
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Proceedings Article
Genetic algorithms for multi-objective optimization: formulation, discussion, and generalization
C M Fonseca,P J Fleming +1 more
Book
Multiple Criteria Optimization: Theory, Computation, and Application
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Book ChapterDOI
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: In this paper an extensive, quantitative comparison is presented, applying four multiobjective evolutionary algorithms to an extended 0/1 knapsack problem.
Book
Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications
TL;DR: The basic principles of evolutionary multiobjective optimization are discussed from an algorithm design perspective and the focus is on the major issues such as fitness assignment, diversity preservation, and elitism in general rather than on particular algorithms.
Book ChapterDOI
Complexity of machine scheduling problems
TL;DR: In this paper, the authors survey and extend the results on the complexity of machine scheduling problems and give a classification of scheduling problems on single, different and identical machines and study the influence of various parameters on their complexity.