IJAT Vol.12 No.4 pp. 449-458
doi: 10.20965/ijat.2018.p0449


Multiproduct Traditional Japanese Cuisine Restaurant Improves Labor Productivity by Changing Cooking Processes According to Service Product Characteristics

Takeshi Shimmura*1,*2,*3,†, Syuichi Oura*2, Kenji Arai*2, Nobutada Fujii*4, Tomomi Nonaka*1, Takeshi Takenaka*3, and Takashi Tanizaki*5

*1Ritsumeikan University
1-1-1 Noji-Higashi, Kusatsu, Shiga 532-0025, Japan

Corresponding author

*2Ganko Food Service Co., Ltd., Osaka, Japan

*3National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

*4Graduate School of System Informatics, Kobe University, Kobe, Japan

*5Faculty of Engineering, Kindai University, Higashi-Hiroshima, Japan

September 27, 2017
April 16, 2018
Online released:
July 3, 2018
July 5, 2018
service engineering, labor productivity, restaurant, production system, work scheduling

This study introduces three cooking process improvements for a multiproduct traditional Japanese cuisine restaurant to improve labor productivity and to assess relations between offered process changes and service product characteristics. Restaurant productivity is the lowest among service industries because restaurants are labor-intensive. Therefore, the industry is affected by service product characteristics. Combining line and cell cooking systems, batch cooking using partial freezers, and combining built-to-order and built-to-plan cooking are introduced into actual multiproduct traditional Japanese cuisine restaurants to change cooking operations and improve labor productivity. Results show that all cooking process changes reduce work hours. The correlation coefficient between work hour and sales revenue improved by line and cell cooking, but it is degraded by batch cooking and built-to-order and built-to-plan cooking. Line and cell cooking enhance simultaneity and reduce the influence of perishability because the system adopts hourly work hours to fluctuation of hourly sales by changing cooking systems (line/cell). However, the system does not resolve heterogeneity and intangibility difficulties because the system is intended to resolve quantitative difficulties of cooking operation systems. Batch cooking systems reduce the influence of simultaneity and perishability of service products because the method reduces cooking frequency using partial freezers. Furthermore, the system improves heterogeneity because the restaurant can provide head-chef-made dishes even if the chef is not working at the restaurant. However, the system does not resolve difficulties of intangibility because the system is not designed to improve customers’ subjective evaluation for service. Built-to-order and built-to-plan cooking reduce the respective influences of simultaneity, perishability, and heterogeneity of service products to some degree because built to plan teams also practice batch cooking using partial freezers. However, the system does not resolve the difficulty of intangibility because the system is not intended to improve customers’ subjective evaluation for service.

Cite this article as:
T. Shimmura, S. Oura, K. Arai, N. Fujii, T. Nonaka, T. Takenaka, and T. Tanizaki, “Multiproduct Traditional Japanese Cuisine Restaurant Improves Labor Productivity by Changing Cooking Processes According to Service Product Characteristics,” Int. J. Automation Technol., Vol.12, No.4, pp. 449-458, 2018.
Data files:
  1. [1] R. B. Chase and U. M. Apte, “A history of Research in Service Operations: What’s the Big Idea?,” J. of Operations Management, Vol.25, No.2, pp. 375-386, 2007.
  2. [2] M. Danowsca-Oziewicz, M. Karpinsca-Tymoszczyk, and J. Borowski, “The Effect of Cooking in a Steam-convection Oven on the Quality of Selected Dishes,” J. of Food Service, Vol.18, No.5, pp. 187-197, 2007.
  3. [3] E. W. T. Ngai, F. F. C. Suk, and S. Y. Y. Lo, “Development of an RFID-based Sushi Management System: The Case of a Conveyor-belt Sushi Restaurant,” Int. J. of Production Economics, Vol.112, No.2, pp. 630-645, 2008.
  4. [4] K. Stein, “Point-of-Sales Systems for Foodservice,” J. of the American Dietetic Association, Vol.105, No.12, pp. 1861-1863, 2005.
  5. [5] M. Nakamura, S. Makihara, J. Sugiura, and Y. Kamioka, “Dynamic Optimization Production System Based on Simulation Integrated Manufacturing and its Application to Mass Production,” Int. J. Automation Technol., Vol.1, No.1, pp. 56-66, 2017.
  6. [6] B. Sill, “Operations Engineering: Improving Multiunit Operations,” The Cornell Hotel and Restaurant Administration Quarterly, Vol.35, No.3, pp. 64-71, 1994.
  7. [7] D. M. Brann and B. C. Kulick, “Simulation of Restaurant Operations Using the Restaurant Modeling Studio,” Procs. of the 2002 Winter Simulation Conf., Vol.1, No.2, pp. 1448-1453, 2002.
  8. [8] K. Koyama, N. Fujii, T. Kaihara, D. Kokuryo, and T. Shimmura, “Kitchen Layout Planning in Food Service Industry by Integration of Simulation and Genetic Algorithm,” Proc. of 4th Int. Conf. on Serviceology, pp. 326-330, 2016.
  9. [9] T. Shimmura and T. Takenaka, “Improving Restaurant Operations Through Service Engineering,” Proc. of Int. Conf. Advances in Production Management Systems, No.3-4:4, 2011.
  10. [10] T. Shimmura, T. Kaihara, N. Fujii, and T. Takenaka, “Improving Customer’s Subjective Waiting Time Introducing Digital Signage,” Proc. of Int. Conf. Advances in Production Management Systems, No.165, 2012.
  11. [11] A. Wölfl, “Productivity Growth in Service Industries an Assessment of Recent Patterns and the Role of Measurement,” OECD Science, Technology and Industry Working Papers, 2003.
  12. [12] D. Reynolds and G. M. Tompson, “Multiunit Restaurant Productivity Assessment Using Three-Phase Data Envelopment Analysis,” Int. J. of Hospitality Management, Vol.26, pp. 20-32, 2007.
  13. [13] Labor Productivity Index (LPI) of the Restaurant and Drinking Places Industry in Japan during 2007-2016, [accessed August 26, 2017]
  14. [14] D. Iacobucci, “Services: What Do We Know and Where Shall We Go?,” Advances in Service Marketing and Management, Vol.7, pp. 1-96, 1988.
  15. [15] “A Kitchen Refrigerator Has a Humidity Level of 20%,” [Accessed August 26, 2017]
  16. [16] T. H. Y. Tebbutt, “Principle of Water Quality Control,” Butterworth-Heinemann, 1997.
  17. [17] H. Uchiyama and N. Kato, “Partial Freezing as Means of Preserving Fish Freshness – 1 Changes in Free Amino Acids, TMA-N, ATP and Its Related Compounds, and Nucleic Acids during Storage,” Nippon Suisan Gakkaishi, Vol.40, No.11, pp. 1145-1154, 1974.
  18. [18] W. Luo, M. J. Liberatore, R. L. Nydick, Q. B. Chung, and E. Sloane, “Impact of Process Change on Customer Perception of Waiting Time: a field study,” Omega, Vol.32, No.1, pp. 77-83, 2004.
  19. [19] M. M. Davis and M. J. Maggard, “An Analysis of Customer Satisfaction with Waiting Times in a Two-stage Service Process,” J. of Operations Management, Vol.9, No.3, pp. 324-334, 1990.
  20. [20] H. Oh, “Service Quality, Customer Satisfaction, and Customer Value, a Historic Perspective,” Int. J. of Hospitality Management, Vol.18, pp. 67-82, 1999.

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Last updated on Jul. 19, 2018