Skip to main content

Systems Engineering Approach to Floor and Staff-Shift Layout Design

  • Chapter
  • First Online:
Service Engineering for Gastronomic Sciences
  • 234 Accesses

Abstract

This chapter presents a description of layout design methods that include both spatial and temporal planning problems in service production and consumption. First, a brief introduction describes the proposed wider concept of service manufacturing systems, then layout planning methods of kitchen in a food-service industry and staff-shift planning method are also described as part of the wider concept. Kitchens in the food-service industry are labor-intensive environments. Their productivity depends on the flow of people and foods, such that traditional mathematical programming approaches are difficult to apply for optimization of kitchen facility layouts. In turn, planning work-shifts of staff members is also difficult in such complex kitchen environments because of the preferences and availability of the respective workers. A new facility layout planning method combining simulation and genetic algorithms (GA) is proposed. Simulations are executed to calculate the fitness of individuals in GA. Then, Combinatorial auction-based staff-shift layout design method is also proposed. Computational experiments are conducted to verify the effectiveness of the proposed methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • C.M.L. Castell, R. Lakshmanan, J.M. Skilling, Optimisation of process plant layout using genetic algorithms. Comput. Chem. Eng. 22, 993–996 (2004)

    Article  Google Scholar 

  • N. Fujii, T. Kaihara, M. Uemura, T. Nonaka, T. Shimmura, Facility layout planning of central kitchen in food service industry: application to the real-scale problem, in Advances in Production Management Systems (APMS) 2013, Part II, IFIP AICT415 (2013), pp. 33–40

    Google Scholar 

  • N. Fujii, J. Oda, T. Kaihara, T. Shimmura, A combinatorial auction-based approach to staff shift scheduling in restaurant business, in Proceedings of The Third International Conference on Serviceology (ICServ2015) (2015)

    Google Scholar 

  • D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning (Addison-Wesley, 1989)

    Google Scholar 

  • J.H. Holland, K.J. Holyoak, R.E. Nisbett, P.R. Thagard, Induction—Process of Interface, Learning and Discovery (The MIT Press, 1985)

    Google Scholar 

  • A. Ikegami, A. Niwa, A study of nurse scheduling in Japan. J. Human Ergol. 30(1–2), 71–76 (2001)

    Google Scholar 

  • A. Ikegami, A. Niwa, A subproblem-centric model and approach to the nurse scheduling problem. Math. Program. 97(3), 517–541 (2003)

    Article  Google Scholar 

  • T. Kaihara, N. Fujii, A co-evolutional approach on service value creation with sales-production integration. J. Jpn. Soc. Precis. Eng. 78(3), 201–207 (2012). (in Japanese)

    Google Scholar 

  • J.S. Kochhar, B.T. Foster, S.S. Heragu, A genetic algorithm for the unequal area facility layout problem. Comput. Oper. Res. 5, 583–594 (1998)

    Article  Google Scholar 

  • R. Muther, Systematic Layout Planning, 2nd edn. (Cahners Books, 1973)

    Google Scholar 

  • T. Sakao, Y. Shimomura, Service Engineering: a novel engineering discipline for producers to increase value combining service and product. J. Clean. Prod. 15(6), 590–604 (2007)

    Article  Google Scholar 

  • T. Shimmura, T. Takenaka, Practical and interactive demand forecasting method for retail and restaurant services, in Proceedings of International Conference on Advances in Production Management Systems (APMS 2011), vol. 2 (2011), pp. 3–4

    Google Scholar 

  • R. Tanese, Distributed genetic algorithm, in Proceedings of the Third International Conference on Genetic Algorithms and their Applications (Morgan Kaufman Publishers, 1989)

    Google Scholar 

  • T. Tokunaga, Y. Tanaka, T. Kobayashi, Y. Kutumizu, A. Ikegami, Development of a staff scheduling model for part-time employees and a support system. IPSJ J. 8(2), 57–65 (2015) (in Japanese)

    Google Scholar 

  • S.L. Vargo, R.F. Lusch, Evolving to a new dominant logic for marketing. J. Market. 68, 1–17 (2004)

    Article  Google Scholar 

Download references

Acknowledgements

All work in this chapter was conducted as collaborative work with Prof. Shimmura, Ganko Food Service Co. Ltd. and graduated students, Mr. Uemura, Mr. Oda, Mr. Koyama, and Ms. Ito. The author acknowledges all their help, useful discussion, and diligent effort.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nobutada Fujii .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Fujii, N. (2020). Systems Engineering Approach to Floor and Staff-Shift Layout Design. In: Shimmura, T., Nonaka, T., Kunieda, S. (eds) Service Engineering for Gastronomic Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-15-5321-9_5

Download citation

Publish with us

Policies and ethics