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Research on Dynamic Facility Layout Problem of Manufacturing Unit Considering Human Factors

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  • Jinying Li
  • Xin Tan
  • Jinchao Li

Abstract

As many said, industry 4.0 is an epoch-making revolution which brought the manufacturing market much faster changes and severer competitions. As an important part of the manufacturing system, facility layout has direct impact on business benefit; at the same time, despite the intelligent factory, intelligent production has its own characteristics. However, there is one point on which industry and academia have basically formed a consensus: it is not true that industry 4.0 does not need human beings; on the contrary, human initiative plays an unabated role in the development of industry 4.0. This paper will focus on the dynamic facility layout of the manufacturing unit. Based on the system above and the traditional optimization model, a mathematic model is built to find the best solution combining safety, sustainability, high efficiency, and low cost. And penalty function with adaptive penalty factor and advanced artificial bee colony algorithm is used to solve the constrained model. In the end, by studying few cases, the model is proved to be effective in both efficiency improvement and the implementation of safe and comfort human-machine interaction.

Suggested Citation

  • Jinying Li & Xin Tan & Jinchao Li, 2018. "Research on Dynamic Facility Layout Problem of Manufacturing Unit Considering Human Factors," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, January.
    • Handle: RePEc:hin:jnlmpe:6040561
    DOI: 10.1155/2018/6040561
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    Cited by:

    1. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2020. "Overview of Dynamic Facility Layout Planning as a Sustainability Strategy," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    2. Mildrend Montoya-Reyes & Margarita Gil-Samaniego-Ramos & Alvaro González-Angeles & Ismael Mendoza-Muñoz & Carlos Raul Navarro-González, 2020. "Novel Ergonomic Triad Model to Calculate a Sustainable Work Index for the Manufacturing Industry," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    3. Chunlei Zhou & Donghai Xuan & Yuhan Miao & Xiaohu Luo & Wensi Liu & Yihong Zhang, 2023. "Accounting CO 2 Emissions of the Cement Industry: Based on an Electricity–Carbon Coupling Analysis," Energies, MDPI, vol. 16(11), pages 1-13, May.

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