Advanced Artifacts in Science and Economics

  • Masayuki MatsuiEmail author
Part of the SpringerBriefs in Business book series (BRIEFSBUSINESS)


Since the Industrial Revolution and the division of labor, the wealth of nations is more and more increasing and its speed is faster. Although the smaller division of labor is better in GDP, mass production with a larger lot (quantity) is better since Fordism and the division of quantity (lot-size \( Q, 0 < Q < \infty \)) is well known to be worse in manufacturing, for the sake of the larger set-up with a penalty. Also, there are 50 years on the findings of Muda’s and Matsui’s laws since 1969 at work study. The former, Sect. 2.1, presents a short review on Muda versus efficiency study (chameleon’s criteria) on Muda’s formula, and shows the second law of Muda (4) versus efficiency (6) on balancing. Also, the variation type and production-rate type of Matsui’s equation on Matsui’s formula are together discussed toward artifacts science from factory science. In conclusion 2.1, the two formulas consisting of four Muda’s and Matsui’s laws would be the basis of factory and artifacts science in nature versus artifacts body. The latter, Sect. 2.2, presents the progressive discipline for the contradiction on modern economic growth in the lot-sizing scheme. The theory would govern over from mass production (larger \( Q \)), mid-lot (EOQ), and disparities (smaller \( Q \)), toward next to sharing equilibrium \( \left( {0 < Q < 1} \right) \). Especially, the Nash’s condition for the case of \( Q < 1 \) could be obtained by the duality of flow line versus job shop. This theoretical review would give the further wealthy development to the gap-wider society of artifacts in the future, and point out that the shared society too could be balanced on the base of the harmonic mean under industrial–financial capitalism.


Economic growth Factory/artifacts science Muda’s formula Matsui’s equation Lot-sizing scheme Sharing/harmonic economy 


  1. 1.
    Taylor, F. W. (1947). Scientific management. NY: Harper & Brothers.Google Scholar
  2. 2.
    Isotani, S., & Matsui, M. (1969). A study of the characteristics of some work group. Journal of Japan Industrial Management Association (JIMA), 41, 25–28.Google Scholar
  3. 3.
    Matsui, M. (1961). A Study on optimal operating policies in conveyor-serviced production system, Doctoral Dissertation. Japan: Tokyo Institute of Technology. (In Japanese).Google Scholar
  4. 4.
    Matsui, M. (2005). CSPS Model: Look-ahead controls and physics. International Journal of Production Research, 43(10), 2001–2025.CrossRefGoogle Scholar
  5. 5.
    Matsui, M. (2011). Conveyor-like network and balancing. In A. B. Savarese (Ed.), Manufacturing engineering. NOVA.Google Scholar
  6. 6.
    Beightler, C. S., & Crisp, R. M., Jr. (1968). A discrete-time queueing analysis of conveyor-serviced production stations. Operations Research, 16(5), 986–1001.CrossRefGoogle Scholar
  7. 7.
    Matsui, M. (2008). Manufacturing and service enterprise with risks: A stochastic management approach (Vol. 125). Springer: International Series of OR&MS.Google Scholar
  8. 8.
    Matsui, M. (2014). Manufacturing and service enterprise with risks II: The physics and economics of management. International Series of OR&MS, No. 202, Springer.Google Scholar
  9. 9.
    Matsui, M. (2016) Fundamentals and principles of artifacts science: 3M&I-body system. Springer Briefs in Business, Springer.Google Scholar
  10. 10.
    Erlang, A. K. (1917). Solution of some problems in the theory of probabilities of significance in automatic telephone exchanges. Post Office Electrical Engineer’s Journal, 10, 189–197.Google Scholar
  11. 11.
    Little, J. D. C. (1961). A proof for the queueing formula: L = λW. Operations Research, 9, 383–387.CrossRefGoogle Scholar
  12. 12.
    APICS Special Report. (1963). Management of lot-size inventories. American Production and Inventory Control Society.Google Scholar
  13. 13.
    Weeks, J. K. (1979). Optimizing planned lead time and delivery dates. In 21st Annual Conference Proceedings, APICS (pp. 177–188).Google Scholar
  14. 14.
    Matsui, M. (2005). A management cycle model: Switching control under lot processing and time span. Journal of Japan Industrial Management Association (JIMA), 56(4), 256–264.Google Scholar
  15. 15.
    Yamamoto, H., Sun, J., & Matsui, M. (2010). A Study on limited-cycle scheduling problem with multiple periods. Computer & IE Journal, 59(4), 675–681.Google Scholar
  16. 16.
    Matsui, M. (2005). Management of manufacturing enterprise—Profit maximization and factory science. Kyoritsu Shuppan. (in Japanese).Google Scholar
  17. 17.
    Matsui, M. (2011). An outline on Matsui’s equation and its circumference. Science Report of Research Institute for Engineering, No. 34, 2–5, Kanagawa University. (In Japanese).Google Scholar
  18. 18.
    Matsui, M. (2013). A Chameleon’s criteria and medium control in efficiency vs. Muda. Science Report of Research Institute for Engineering, No. 36, 40–45, Kanagawa University. (In Japanese).Google Scholar
  19. 19.
    Kuznets, S. (1966). Modern economic growth: Rate, structure, and speed. NY: Yale University Press.Google Scholar
  20. 20.
    Kuznets, S. (1973). Modern economic growth: Findings and reflections. American Economic Review, 63(3), 247–258.Google Scholar
  21. 21.
    Smith, A. (1776). The wealth of nations. Encyclopedia Britanika (1952).Google Scholar
  22. 22.
    Wild, R. (1972). Mass-production management: The design and operation of production flow-line system. London: Wiley.Google Scholar
  23. 23.
    Hardly, G., & Whitin, T. M. (1963). Analysis of inventory systems. London: Prentice-Hall.Google Scholar
  24. 24.
    Matsui, M. (2017). A theory of modern economic growth toward sharing society. Theoretical Economics Letters, 8, 675–684.CrossRefGoogle Scholar
  25. 25.
    Ohno, T. (1988). Toyota production system: Beyond large-scale production. Productivity Press, IISEGoogle Scholar
  26. 26.
    Conway, R. W., Maxwell, W. L., & Miller, L. W. (1967) Theory of Sched uling. Addison-Wesley Co.Google Scholar
  27. 27.
    Matsui, M. (2013). An enterprise-aided theory and logic for real-time management. International Journal of Production Research, 31(23, 24), 7308–7312.CrossRefGoogle Scholar
  28. 28.
    Hitomi, K. (1996). Manufacturing systems engineering (2nd ed.). Taylor & Francis.Google Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Research Institute for EngineeringKanagawa UniversityYokohamaJapan

Personalised recommendations