IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n4075358.html

Method for Evaluation and Application of Production Process Chain Complexity in Sewing Workshops considering Human Factor

Author

Listed:
  • Huimin Li
  • Fansen Kong
  • Taibo Chen
  • Liang Kong

Abstract

Existing methods for evaluating manufacturing process chain complexity consider the number of machines, state of machines, number of parts, operation time, and processing sequence of parts. However, such evaluation methods ignore human factors. To consider human factors, human cognitive decision‐making process factors are considered in the complexity evaluation of production processes. Accordingly, a new objective evaluation method of the human factor complexity is proposed. In the proposed method, sewing operations are taken as an example, and the human factor complexity is classified into perceived and cognitive complexity. Information entropy is used to measure cognitive complexity according to the type and quantity of sewing workers’ cognitive activities. The results show that various methods have significant differences in the evaluation of the complexity level of the production process chain. Specifically, the calculation results of the proposed evaluation method are much greater than those of other methods. This indicates that human cognitive and perceived complexities account for a large proportion. Therefore, human factor complexity cannot be omitted.

Suggested Citation

  • Huimin Li & Fansen Kong & Taibo Chen & Liang Kong, 2022. "Method for Evaluation and Application of Production Process Chain Complexity in Sewing Workshops considering Human Factor," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:4075358
    DOI: 10.1155/2022/4075358
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/4075358
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/4075358?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vladimir Modrak & Zuzana Soltysova, 2017. "Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators," Complexity, Hindawi, vol. 2017, pages 1-15, June.
    2. John Paul MacDuffie & Kannan Sethuraman & Marshall L. Fisher, 1996. "Product Variety and Manufacturing Performance: Evidence from the International Automotive Assembly Plant Study," Management Science, INFORMS, vol. 42(3), pages 350-369, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sanjith Gopalakrishnan & Moksh Matta & Mona Imanpoor Yourdshahy & Vivek Choudhary, 2023. "Go Wide or Go Deep? Assortment Strategy and Order Fulfillment in Online Retail," Manufacturing & Service Operations Management, INFORMS, vol. 25(3), pages 846-861, May.
    2. Fei Li & Jin Chen & Ying Ying, 2019. "Innovation Search Scope, Technological Complexity, and Environmental Turbulence: A N-K Simulation," Sustainability, MDPI, vol. 11(16), pages 1-12, August.
    3. Diwas Singh KC & Bradley R. Staats, 2012. "Accumulating a Portfolio of Experience: The Effect of Focal and Related Experience on Surgeon Performance," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 618-633, October.
    4. Kai-Lung Hui, 2004. "Product Variety Under Brand Influence: An Empirical Investigation of Personal Computer Demand," Management Science, INFORMS, vol. 50(5), pages 686-700, May.
    5. Jonathan R. Clark & Robert S. Huckman, 2012. "Broadening Focus: Spillovers, Complementarities, and Specialization in the Hospital Industry," Management Science, INFORMS, vol. 58(4), pages 708-722, April.
    6. Ayd{i}n Alptekinou{g}lu & Charles J. Corbett, 2008. "Mass Customization vs. Mass Production: Variety and Price Competition," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 204-217, August.
    7. Weili Yin & Wenxue Ran, 2023. "Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion," SAGE Open, , vol. 13(2), pages 21582440231, June.
    8. Song, Zhe & Kusiak, Andrew, 2010. "Mining Pareto-optimal modules for delayed product differentiation," European Journal of Operational Research, Elsevier, vol. 201(1), pages 123-128, February.
    9. Diwas Singh KC & Christian Terwiesch, 2011. "The Effects of Focus on Performance: Evidence from California Hospitals," Management Science, INFORMS, vol. 57(11), pages 1897-1912, November.
    10. Carolyn D. Egelman & Dennis Epple & Linda Argote & Erica R.H. Fuchs, 2013. "Learning by Doing in a Multi-Product Manufacturing Environment: Product Variety, Customizations, and Overlapping Product Generations," NBER Working Papers 19674, National Bureau of Economic Research, Inc.
    11. Jason D. Shaw & Shuisheng Shi, 2017. "The neglected state of organizational-level turnover studies in the Chinese context: a call for research," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-10, December.
    12. Rachna Shah & George P. Ball & Serguei Netessine, 2017. "Plant Operations and Product Recalls in the Automotive Industry: An Empirical Investigation," Management Science, INFORMS, vol. 63(8), pages 2439-2459, August.
    13. Marshall L. Fisher & Christopher D. Ittner, 1999. "The Impact of Product Variety on Automobile Assembly Operations: Empirical Evidence and Simulation Analysis," Management Science, INFORMS, vol. 45(6), pages 771-786, June.
    14. Alfaro, José A. & Corbett, Charles J., 2000. "The value of SKU rationalization: the pooling effect under suboptimal inventory policies," DEE - Working Papers. Business Economics. WB 9917, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    15. Kamalini Ramdas & Mohanbir S. Sawhney, 2001. "A Cross-Functional Approach to Evaluating Multiple Line Extensions for Assembled Products," Management Science, INFORMS, vol. 47(1), pages 22-36, January.
    16. Gerardo Beruvides & Fernando Castaño & Rodolfo E. Haber & Ramón Quiza & Alberto Villalonga, 2017. "Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization," Complexity, Hindawi, vol. 2017, pages 1-11, December.
    17. repec:mos:moswps:2026-03 is not listed on IDEAS
    18. William S. Lovejoy & Kannan Sethuraman, 2000. "Congestion and Complexity Costs in a Plant with Fixed Resources that Strives to Make Schedule," Manufacturing & Service Operations Management, INFORMS, vol. 2(3), pages 221-239, February.
    19. Aoki, Katsuki & Staeblein, Thomas & Tomino, Takahiro, 2014. "Monozukuri capability to address product variety: A comparison between Japanese and German automotive makers," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 373-384.
    20. Kristianto, Yohanes & Helo, Petri, 2014. "Product architecture modularity implications for operations economy of green supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 128-145.
    21. Lo, Chris K.Y. & Yeung, Andy C.L., 2018. "Quality management standards, institutionalization and organizational implications: A longitudinal analysis," International Journal of Production Economics, Elsevier, vol. 200(C), pages 231-239.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:4075358. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.