Journal ArticleDOI
A two-stage optimization method for energy-saving flexible job-shop scheduling based on energy dynamic characterization
Reads0
Chats0
TLDR
In this method, an operation-based integrated chart is firstly proposed to reveal the dynamic characteristics of the operations, enabling the energy-saving scheduling optimization, and results revealed that the proposed method can effectively optimize FJSP.About:
This article is published in Journal of Cleaner Production.The article was published on 2018-07-01. It has received 94 citations till now. The article focuses on the topics: Scheduling (production processes) & Job shop scheduling.read more
Citations
More filters
Journal ArticleDOI
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems
TL;DR: The mathematical model of FJSP is presented, the constraints in applications are summarized, and the encoding and decoding strategies for connecting the problem and algorithms are reviewed to give insight into future research directions.
Journal ArticleDOI
Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints
TL;DR: A multi-objective optimization model with the objective of minimizing energy consumption and makespan is formulated for a flexible job shop scheduling problem with transportation constraints and an enhanced genetic algorithm is developed to solve the problem.
Journal ArticleDOI
Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
TL;DR: Issues in the context of urgent need for energy-conservation as well as the advent of globalized and multi-factory manufacture motivate the attempts to address a stochastic multi-objective distributed permutation flow shop scheduling problem by considering total tardiness constraint via minimizing the makespan and the total energy consumption.
Journal ArticleDOI
A review of energy-efficient scheduling in intelligent production systems
TL;DR: This paper aims to provide a comprehensive literature review of production scheduling for intelligent manufacturing systems with the energy-related constraints and objectives, and to give useful insight into future research, especially intelligent strategies for solving theEnergy-efficient scheduling problems.
Journal ArticleDOI
Integrated multi-objective stochastic fuzzy programming and AHP method for agricultural water and land optimization allocation under multiple uncertainties
TL;DR: In this paper, an improved multi-objective stochastic fuzzy programming method was developed to solve the problem of optimal allocation of agricultural water and land in a case study in Wuwei City, Gansu Province, China.
References
More filters
Journal ArticleDOI
The Complexity of Flowshop and Jobshop Scheduling
TL;DR: The results are strong in that they hold whether the problem size is measured by number of tasks, number of bits required to express the task lengths, or by the sum of thetask lengths.
Journal ArticleDOI
Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach
Joost Duflou,John W. Sutherland,David Dornfeld,Christoph Herrmann,Jack Jeswiet,Sami Kara,Michael Zwicky Hauschild,Karel Kellens +7 more
TL;DR: A systematic overview of the state of the art in energy and resource efficiency increasing methods and techniques in the domain of discrete part manufacturing, with attention for the effectiveness of the available options is provided in this paper.
Proceedings ArticleDOI
An Environmental Analysis of Machining
TL;DR: In this paper, a system-level environmental analysis of machining is presented, which considers not only the environmental impact of the material removal process itself, but also the impact of associated processes such as material preparation and cutting fluid preparation.
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.
Book
Scheduling in Computer and Manufacturing Systems
TL;DR: Polynomial and exponential-time optimization algorithms as well as approximation and heuristic ones are presented using a Pascal-like notation, before being discussed in the light of particular problems.
Related Papers (5)
An energy-efficient multi-objective optimization for flexible job-shop scheduling problem
Hadi Mokhtari,Aliakbar Hasani +1 more
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