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Distributed shop scheduling: A comprehensive review on classifications, models and algorithms.

Jianguo Duan1, Mengting Wang2, Qinglei Zhang1

  • 1China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China.

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|September 7, 2023
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Summary
This summary is machine-generated.

This paper reviews distributed shop scheduling in intelligent manufacturing, covering parallel, flow, job, and assembly shop types. It analyzes optimization, algorithms, and future trends for distributed production systems.

Keywords:
distributed flow shop schedulingfactory allocationliterature reviewmulti-objective optimizationsustainable development indicators

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Area of Science:

  • Operations Research
  • Manufacturing Systems Engineering
  • Industrial Engineering

Background:

  • Modern industry demands efficient production scheduling in intelligent manufacturing environments.
  • Distributed manufacturing and inter-enterprise cooperation are increasingly prevalent production models.
  • Existing research needs to align with these new manufacturing paradigms.

Purpose of the Study:

  • To present the research background and current state of distributed shop scheduling.
  • To summarize and classify research on distributed parallel machine, flow shop, job shop, and assembly shop scheduling.
  • To explore optimization, algorithms, and future trends in distributed manufacturing scheduling.

Main Methods:

  • Literature review and synthesis of existing research on distributed shop scheduling.
  • Classification of distributed scheduling problems (parallel machine, flow shop, job shop, assembly shop).
  • Analysis of single-objective and multi-objective optimization, processing constraints, and relevant algorithms.

Main Results:

  • A comprehensive overview of distributed shop scheduling research, including key issues and hot topics.
  • Categorization of distributed scheduling problems based on manufacturing models.
  • Summary of optimization algorithms, their limitations, and research methods.

Conclusions:

  • Distributed shop scheduling is critical for intelligent and cooperative manufacturing.
  • Further research is needed to address complex optimization and solution methods for emerging distributed production challenges.
  • Identifying future research directions is essential for advancing distributed manufacturing systems.