An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers

Luo, Qiang; Deng, Qianwang; Gong, Guiliang; Zhang, Like; Han, Wenwu; Li, Kexin

doi:10.1016/j.eswa.2020.113721

Cited by 100 publications

(22 citation statements)

References 42 publications

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“…Nevertheless, there are a few exceptions. Some authors [37,38,85,[87][88][89][90][91][92] schedule transport and take into account the energy required to load/unload vehicles, and others [93][94][95][96][97][98] consider the energy required to transport the jobs between geographically distributed facilities.…”

Section: Pp = Maxmentioning

confidence: 99%

“…Other subproblems that impact the total energy consumption have been considered, although less frequently: layout optimization (LOP) [86,89]-machine location (and reallocation) is determined at the same time that the manufacturing operations are scheduled; job process planning (JPP) [14]-job routing is chosen from a set of predefined job routes; batch scheduling (BS) [62]-machines are set up to process a batch of similar operations; and distributed manufacturing scheduling (DMS) [93,94,98,121,122]-operations may be processed on machines that are located in different factories, which are geographically distributed. Among these, we highlight the last two, since they address non-identical factories and consider the three pillars of sustainability (economic, social, and environmental), thus complying with the triple bottom line principle.…”

Section: Additional Scheduling Problemsmentioning

confidence: 99%

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Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

2022

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Energy efficiency has become a major concern for manufacturing companies not only due to environmental concerns and stringent regulations, but also due to large and incremental energy costs. Energy-efficient scheduling can be effective at improving energy efficiency and thus reducing energy consumption and associated costs, as well as pollutant emissions. This work reviews recent literature on energy-efficient scheduling in job shop manufacturing systems, with a particular focus on metaheuristics. We review 172 papers published between 2013 and 2022, by analyzing the shop floor type, the energy efficiency strategy, the objective function(s), the newly added problem feature(s), and the solution approach(es). We also report on the existing data sets and make them available to the research community. The paper is concluded by pointing out potential directions for future research, namely developing integrated scheduling approaches for interconnected problems, fast metaheuristic methods to respond to dynamic scheduling problems, and hybrid metaheuristic and big data methods for cyber-physical production systems.

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Section: Pp = Maxmentioning

confidence: 99%

Section: Additional Scheduling Problemsmentioning

confidence: 99%

Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

2022

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“…For scheduling objectives, the completion time-related and machine workload-related ones are the most evaluated. Energy consumption and low-carbon-related objectives are attracting increasing attention; they can be considered as one of multiple objectives and simultaneously optimized with traditional objectives [46,60,[85][86][87][90][91][92][93] .…”

Section: Problemmentioning

confidence: 99%

Distributed scheduling problems in intelligent manufacturing systems

Hou

Wang

et al. 2021

Tsinghua Sci. Technol.

127

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Currently, manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization. Hence, they have to extend their production mode into distributed environments and establish multiple factories in various geographical locations.Nowadays, distributed manufacturing systems have been widely adopted in industrial production processes. In recent years, many studies have been done on the modeling and optimization of distributed scheduling problems.This work provides a literature review on distributed scheduling problems in intelligent manufacturing systems. By summarizing and evaluating existing studies on distributed scheduling problems, we analyze the achievements and current research status in this field and discuss ongoing studies. Insights regarding prior works are discussed to uncover future research directions, particularly swarm intelligence and evolutionary algorithms, which are used for managing distributed scheduling problems in manufacturing systems. This work focuses on journal papers discovered using Google Scholar. After reviewing the papers, in this work, we discuss the research trends of distributed scheduling problems and point out some directions for future studies.

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“…Jiang et al (2020) proposed an effective modified multi-objective evolutionary algorithm with decomposition (MMOEA/D) to minimize energy consumption and makespan. While in all the abovementioned studies, it is assumed that all operations of a job should be performed on the machines of the same facility, Luo et al (2020) and Gong et al (2020) assume that operations of a job can be transferred among different facilities taking into account the jobs' transfer time and transfer energy consumption. For an overview of more related studies on production planning and scheduling problems in multi-factory production networks as well as a more comprehensive classification, see Lohmer and Lasch (2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Distributed job-shop rescheduling problem considering reconfigurability of machines: a self-adaptive hybrid equilibrium optimiser

Mahmoodjanloo

Tavakkoli–Moghaddam

Baboli

et al. 2021

International Journal of Production Research

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers

Cited by 100 publications

References 42 publications

Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

Distributed scheduling problems in intelligent manufacturing systems

Distributed job-shop rescheduling problem considering reconfigurability of machines: a self-adaptive hybrid equilibrium optimiser

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