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Rescheduling in job-shop problems for sustainable manufacturing systems

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TLDR
In this article, the authors have proposed a method to improve the quality of the paper by using reviewers and editors for their positive comments to improve its quality, which has been supported by the Seventh Framework Programme under the research project TETRACOM-GA609491 and the Spanish Government under research projects TIN2013-46511-C2-1, TIN2015-65515-C4-1-R and TIN2016-80856-R.
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This article is published in Journal of Cleaner Production.The article was published on 2017-09-20 and is currently open access. It has received 62 citations till now. The article focuses on the topics: Job shop.

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Citations
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Digital Twin Enhanced Dynamic Job-Shop Scheduling

TL;DR: In this paper, a five-dimensional digital twin (DT) is proposed to fuse both real and simulated data to provide more information for the prediction of machine availability on one hand; and on the other hand, it helps to detect disturbances through comparing the physical machine with its continuously updated digital counterpart in real time, triggering timely rescheduling when needed.
Journal ArticleDOI

Cyber Physical System and Big Data enabled energy efficient machining optimisation

TL;DR: A novel Cyber Physical System and Big Data enabled machining optimisation system to address the above challenge of energy efficient optimisation for machining processes and has been successfully deployed into European machining companies to verify capabilities.
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An efficient evolutionary grey wolf optimizer for multi-objective flexible job shop scheduling problem with hierarchical job precedence constraints

TL;DR: An efficient evolutionary multi-objective grey wolf optimizer (EMOGWO) to tackle FJSSP-JPC with minimizing the objectives of makespan, maximum machine workload and total machine workload simultaneously.
Journal ArticleDOI

Big Data enabled Intelligent Immune System for energy efficient manufacturing management

TL;DR: The novelty of I2S is that Big Data analytics and intelligent immune mechanisms have been integrated systematically to achieve condition monitoring, analysis and energy efficient optimisation over manufacturing execution lifecycles.
Journal ArticleDOI

Energy- and labor-aware flexible job shop scheduling under dynamic electricity pricing: a many-objective optimization investigation

TL;DR: This proposed scheduling method can be used to automated and enhance the decision making of factory managers in jointly allocating machine, human worker, and energy resources on the shop floor, such that the production cost is minimized even under time-varying electricity and labor prices.
References
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Journal ArticleDOI

Job Shop Scheduling by Simulated Annealing

TL;DR: In this article, an approximation algorithm for the problem of finding the minimum makespan in a job shop is presented, which is based on simulated annealing, a generalization of the well known iterative improvement approach to combinatorial optimization problems.
Journal ArticleDOI

A Fast Taboo Search Algorithm for the Job Shop Problem

TL;DR: A fast and easily implementable approximation algorithm for the problem of finding a minimum makespan in a job shop is presented, based on a taboo search technique with a specific neighborhood definition which employs a critical path and blocks of operations notions.
Journal Article

An overview of genetic algorithms: Part 1, fundamentals

TL;DR: Genetic Algorithms (GAs) are adaptive methods which may be used to solve search and optimisation problems based on the genetic processes of biological organisms, which simulate those processes in natural populations which are essential to evolution.
Journal ArticleDOI

Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods

TL;DR: A framework for understanding rescheduling strategies, policies, and methods based on a wide variety of experimental and practical approaches that have been described in the rescheduled literature is described.
Journal ArticleDOI

Renewable energy from palm oil - innovation on effective utilization of waste.

TL;DR: In this paper, the effective use of biomass as the first of the renewable energy sources to be developed for large-scale applications, especially in the palm oil industry and the methodology for energy harness by innovative utilization of waste from palm oil cultivation and processing.
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Frequently Asked Questions (6)
Q1. What are the contributions mentioned in the paper "Rescheduling in job-shop problems for sustainable manufacturing systems" ?

This paper is focused on recovery in dynamic job-shop scheduling problems where machines can work at different rates. The results proposed in this paper may be useful to be applied in real industries for energy-efficient production rescheduling. 

When the λ values are low the objective is mainly focused on minimizing energy, so makespan is higher and therefore, there exists many455buffers/gaps between consecutive tasks. 

when λ = 1, it is considered an special case because the makespan in only taken into consideration in the objective function, so many tasks that are not involved in the critical path can be executed at lower speed without worsening the makespan. 

For some manufacturing systems, however, it is not possible to turn off machines completely during each of the idle intervals, either because restarting the machines requires a large amount of energy or because frequent on and off switches may damage to the machine com-70ponents. 

it can be observed that the involved machines in the rescheduling process have been accelerated, so the obtained reschedule is not an energy efficient solution. 

Mouzon et al. (2007) developed several algorithms and a multiple-objective mathematical programming model60to investigate the problem of scheduling jobs on a single CNC machine in order to reduce energy consumption and total completion time.