Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Main benefits obtained from a successful JIT implementation

  • 965 Accesses

  • 9 Citations


Literature has reported 31 benefits obtained by companies after a successful JIT implementation. However, this research reduces the list by means of a data reduction technique to identify those essential benefits that must be pursued. The 31 benefits are integrated in a questionnaire that is administered to 144 production managers in maquiladoras in Mexico to measure the extent to which they are obtained according to respondents. One the one hand, a validation process and descriptive analysis are carried out for every benefit by considering their median values as a measure of central tendency and interquartile range values as a measure of dispersion. On the other hand, data reduction was achieved by means of a factor analysis based on principal components and varimax rotation. Four main factors related to JIT benefits are identified after the factor analysis, which explain 67.27 % of total variance of data. Identified factors concern inventory management, production process, human resources, and economic benefits.

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


  1. 1.

    Singh S, Garg D (2011) JIT system: concepts, benefits and motivation in Indian industries. Int J Manag Bus Stud 1(1):26–30

  2. 2.

    Kumar V (2010) JIT based quality management: concepts and implications in Indian context. Int J Eng Sci Tech 2(1):40–50

  3. 3.

    Gupta A (2011) A conceptual JIT model of service quality. Int J Eng Sci Tech 3(3):2214–2227

  4. 4.

    Marín F, Delgado J (2000) The just in time technique and its repercussion in production systems. Economía Industrial 331:34–41

  5. 5.

    Meixell MJ, Gargeya VB (2005) Global supply chain design: a literature review and critique. Transport Res E Logist Transport Rev 41(6):531–550, doi:http://dx.doi.org/10.1016/j.tre.2005.06.003

  6. 6.

    Zhu Q, Sarkis J, Lai K-h (2011) An institutional theoretic investigation on the links between internationalization of Chinese manufacturers and their environmental supply chain management. Resour Conserv Recycl 55:623–630, doi:http://dx.doi.org/10.1016/j.resconrec.2010.12.003

  7. 7.

    Ngai EWT, Peng S, Alexander P, Moon KKL (2014) Decision support and intelligent systems in the textile and apparel supply chain: an academic review of research articles. Expert Syst Appl 41(1):81–91, doi:http://dx.doi.org/10.1016/j.eswa.2013.07.013

  8. 8.

    Machuca J (2002) JIT facing the New Millennium. Int J Prod Econ 80(2):131–134, doi:http://dx.doi.org/10.1016/S0925-5273(02)00312-2

  9. 9.

    Green KW, Inman RA, Birou LM, Whitten D (2014) Total JIT (T-JIT) and its impact on supply chain competency and organizational performance. Int J Prod Econ 147(Part A):125–135, doi:http://dx.doi.org/10.1016/j.ijpe.2013.08.026

  10. 10.

    Chang D, Lee SM (1996) The impact of critical success factors of JIT implementation on organizational performance. Prod Plann Contr 7(3):329–338. doi:10.1080/09537289608930358

  11. 11.

    Ohno T (1982) How the Toyota Production System was Created. Japanese Econ Stud 10(4):83–101. doi:10.2753/JES1097-203X100483

  12. 12.

    Matsui Y (2007) An empirical analysis of just-in-time production in Japanese manufacturing companies. Int J Prod Econ 108(1–2):153–164, doi:http://dx.doi.org/10.1016/j.ijpe.2006.12.035

  13. 13.

    Brown KA, Mitchell TR (1991) A comparison of Just-in-Time and batch manufacturing: the role of performance obstacles. Acad Manag J 34(4):906–917. doi:10.2307/256395

  14. 14.

    Wakchaure V, Venkatesh M, Kallurkar S (2006) Review of JIT practices in Indian manufacturing industries. 2006. IEEE Int Conf Manag Innov Technol 2(34):1099–1103. doi:10.1109/ICMIT.2006.262393

  15. 15.

    Fullerton R, McWatters C (2002) The role of performance measures and incentive systems in relation to the degree of JIT implementation. Acc Organ Soc 27(8):711–735, doi:http://dx.doi.org/10.1016/S0361-3682(02)00012-0

  16. 16.

    Cai-feng L (2009) Research on a fast delivery production system: just-in-time production system. Can Soc Sci 5(3):121

  17. 17.

    Groenevelt H (1993) Chapter 12 The just-in-time system. In: Handbooks in Operations Research and Management Science, vol Volume 4. Elsevier, pp 629-670. doi:http://dx.doi.org/10.1016/S0927-0507(05)80192-6

  18. 18.

    Ahmed NU, Tunc EA, Montagno RV (1991) A comparative study of US manufacturing firms at various stages of just-in-time implementation. Int J Prod Res 29(4):787–802. doi:10.1080/00207549108930102

  19. 19.

    Schonberger RJ (1982) Some observations on the advantages and implementation issues of just-in-time production systems. J Oper Manag 3(1):1–11, doi:http://dx.doi.org/10.1016/0272-6963(82)90017-1

  20. 20.

    Jayaram J, Das A, Nicolae M (2010) Looking beyond the obvious: unraveling the Toyota production system. Int J Prod Econ 128(1):280–291, doi:http://dx.doi.org/10.1016/j.ijpe.2010.07.024

  21. 21.

    Alonso A (1998) Concepts in industrial organization. Ed. Marcombo, Spain

  22. 22.

    Hay J (2002) Just in time: a Japanese technique for advanced competitiveness. Ed. Norma, Bogotá, Colombia

  23. 23.

    Vokurka J, Davis RA (1996) Just-in-Time: the evolution of a philosophy. Prod Inventory Manag J : journal of the American Production and Inventory Control Society, Inc 37(2):56–59

  24. 24.

    Profeta A (2003) A case study about critical success factor for JIT. Sao Paolo University, Brasil

  25. 25.

    Sugimori Y, Kusunoki K, Cho F, Uchikawa S (1977) Toyota production system and Kanban system: materialization of just-in-time and respect-for-human system. Int J Prod Res 15(6):553–564. doi:10.1080/00207547708943149

  26. 26.

    Monden Y (1993) Toyota production system: an integrated approach to just-in-time. Industrial Engineering and Management Press, Institute of Industrial Engineers, Norcross, Ga

  27. 27.

    Hall RW (1983) Zero inventories. McGraw-Hill Education - Europe, New York, United States

  28. 28.

    Taylor D (1983) Stockless production: how to tame American industry just-in-time. Paper presented at the Proceedings of the APICS Zero Inventories Seminar, Orlando

  29. 29.

    Stasey R, McNair CJ (1990) Crossroads: a JIT success story. Dow Jones-Irwin, Homewood, IL

  30. 30.

    Toomey J (1996) MRP II: planning for manufacturing excellence. Chapman & Hall, New York, NY

  31. 31.

    Robinson A (1990) Modern approaches to manufacturing improvement: the Shingo system. Productivity Press, Cambrige, MA

  32. 32.

    Harmon RL, Peterson LD (1990) Reinventing the factory: productivity breakthroughs in manufacturing today. Free Press, Collier Macmillan, New York, London

  33. 33.

    Golhar D, Stamm C (1991) The just-in-time philosophy: a literature review. Int J Prod Res 29(4):657–676

  34. 34.

    Krajewski LJ, Ritzman LP (1992) Operations management: strategy and analysis, 3rd edn. Addison-Wesley, Boston, USA

  35. 35.

    Giunipero LC, Law WK (1990) Organizational support for just‐in‐time implementation. Int J Logistics Manag 1(2):35–40. doi:10.1108/09574099010804572

  36. 36.

    Gaither N (1994) Production and operations management, 6th edn. Dryden Press, Fort Worth, TX. USA

  37. 37.

    Krajewski LJ, Ritzman LP (1999) Operations management: strategy and analysis. Publishing Company, Inc, New York

  38. 38.

    Chengalvarayan G, Parker SC (1991) Simulation analysis of just-in-time feasibility in a manufacturing environment. Comput Ind Eng 21(1):303–306, doi:http://dx.doi.org/10.1016/0360-8352(91)90106-G

  39. 39.

    Manavizadeh N, Hosseini N-s, Rabbani M, Jolai F (2013) A simulated annealing algorithm for a mixed model assembly U-line balancing type-I problem considering human efficiency and Just-In-Time approach. Comput Ind Eng 64(2):669–685, doi:http://dx.doi.org/10.1016/j.cie.2012.11.010

  40. 40.

    Azadeh A, Bidokhti B, Sakkaki SMR (2005) Design of practical optimum JIT systems by integration of computer simulation and analysis of variance. Comput Ind Eng 49(4):504–519, doi:http://dx.doi.org/10.1016/j.cie.2005.03.005

  41. 41.

    Yavuz M, Tufekci S (2006) Dynamic programming solution to the batching problem in just-in-time flow-shops. Comput Ind Eng 51(3):416–432, doi:http://dx.doi.org/10.1016/j.cie.2006.08.005

  42. 42.

    Ho JC, Chang YL (2001) An integrated MRP and JIT framework. Comput Ind Eng 41(2):173–185, doi:http://dx.doi.org/10.1016/S0360-8352(01)00052-3

  43. 43.

    Abdul-Nour G, Lambert S, Drolet J (1998) Adaptation of jit phylosophy and kanban technique to a small-sized manufacturing firm; a project management approach. Comput Ind Eng 35(3–4):419–422, doi:http://dx.doi.org/10.1016/S0360-8352(98)00123-5

  44. 44.

    Fukukawa T, Hong S-C (1993) The determination of the optimal number of kanbans in a Just-In-Time production system. Comput Ind Eng 24(4):551–559, doi:http://dx.doi.org/10.1016/0360-8352(93)90197-6

  45. 45.

    Khan LR, Sarker RA (2002) An optimal batch size for a JIT manufacturing system. Comput Ind Eng 42(2–4):127–136, doi:http://dx.doi.org/10.1016/S0360-8352(02)00009-8

  46. 46.

    Bylka S (2011) Non-cooperative strategies for production and shipment lot sizing in one vendor–multi-buyer system. Int J Prod Econ 131(1):372–382, doi:http://dx.doi.org/10.1016/j.ijpe.2010.04.002

  47. 47.

    Erbetta F, Rappuoli L (2008) Optimal scale in the Italian gas distribution industry using data envelopment analysis. Omega 36(2):325–336, doi:http://dx.doi.org/10.1016/j.omega.2006.01.003

  48. 48.

    Alcaraz JLG, Maldonado AA, Iniesta AA, Robles GC, Hernández GA (2014) A systematic review/survey for JIT implementation: Mexican maquiladoras as case study. Comput Ind 65(4):761–773, doi:http://dx.doi.org/10.1016/j.compind.2014.02.013

  49. 49.

    Panchal V, Amit P, Sachin G (2012) Study of JIT and JIT elements. Int J Ind Eng Technol (IJIET) 2(2):38–41

  50. 50.

    Panchal V, Gupta A, Ram S, Rai N (2012) Identification of JIT elements in service sector. Int J Latest Res Sci Technol 1(3):211–214

  51. 51.

    Yasin MM, Small MH, Wafa MA (2003) Organizational modifications to support JIT implementation in manufacturing and service operations. Omega 31(3):213–226, doi:http://dx.doi.org/10.1016/S0305-0483(03)00024-0

  52. 52.

    Shnaiderman M, Ben-Baruch L (2016) Control and enforcement in order to increase supplier inventory in a JIT contract. Eur J Oper Res 250(1):143–154, doi:http://dx.doi.org/10.1016/j.ejor.2015.10.047

  53. 53.

    Amasaka K (2014) New JIT, new management technology principle: surpassing JIT. Procedia Technol 16:1135–1145, doi:http://dx.doi.org/10.1016/j.protcy.2014.10.128

  54. 54.

    Likert R (1932) A technique for the measumerement of attitudes. Arch Psychol 22(140):1–55

  55. 55.

    Inman RA, Sale SS, Green KW, Whitten D (2011) Agile manufacturing: relation to JIT, operational performance and firm performance. J Oper Manag 29(4):343–355

  56. 56.

    Lévy M, Varela MJ (2003) Multivariate analysis for social sciences. Pearson Education, S. A., Madrid, Spain

  57. 57.

    Nordgaard A, Ansell R, Jaeger L, Drotz W (2010) Ordinal scales of conclusions for the value of evidence. Sci Justice 50(1):31–38

  58. 58.

    Jun M, Cai S, Shin H (2006) TQM practice in maquiladora: antecedents of employee satisfaction and loyalty. J Oper Manag 24(6):791–812

  59. 59.

    Hair JF, Hult GTM, Ringle CM, Sarstedt MA (2013) Primer on partial least squares structural equation modeling (PLS-SEM). Sage, Thousand Oaks, CA

  60. 60.

    Han SB (2000) The effects of ISO 9000 registration efforts on total quality management practices and business performance. University of Rhode Island, USA

  61. 61.

    Kaiser HM (2011) Mathematical programming for agricultural, environmental, and resource economics. Wiley, Hoboken, NJ

  62. 62.

    Tabachnick BG, Fidell LS (2001) Using multivariate statistics, 4th edn. Allyn & Bacon, Boston, IL

  63. 63.

    Cronbach LJ (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16(3):297–334

  64. 64.

    Henseler J, Ringle CM, Sinkovics RR (2009) The use of partial least squares path modeling in international marketing. Adv Int Mark 20:277–320

  65. 65.

    Götz O, Liehr-Gobbers K, Krafft M (2009) Evaluation of structural equation models using the partial least squares (PLS) approach, In: Esposito Vinzi. In: Handbook of Partial Least Squares: Concepts, Methods and Applications vol 2. 5 edn. (Springer Handbooks of Computational Statistics Series), Heidelberg, Dordrecht, London, New York

  66. 66.

    Rigdon EE (2011) Rethinking partial least squares path modeling: in praise of simple methods. Long Range Plann 45(5-6):341–358

  67. 67.

    Hair JF, Anderson RE, Tatham RL (1987) Multivariate data analysis. NY: Macmillan, New York

  68. 68.

    Hair JFB, W C. Babin, B J., Anderson RE (2009) Multivariate data analysis. NJ: Prentice Hall, Upper Saddle River

  69. 69.

    Giaquinta M (2009) Mathematical analysis: An introduction to functions of several variables. NY: Springer, New York

  70. 70.

    Rosenthal R, Rosnow RL (1991) Essentials of behavioral research: methods and data analysis. McGraw Hill, Boston, MA

  71. 71.

    Wold S, Trygg J, Berglund A, Antti H (2001) Some recent developments in PLS modeling. Chemom Intell Lab Syst 58(2):131–150

  72. 72.

    Fullerton RR, Kennedy FA, Widener SK (2013) Management accounting and control practices in a lean manufacturing environment. Acc Organ Soc 38(1):50–71

  73. 73.

    Patel P, Terjesen S, Li D (2012) Enhancing effects of manufacturing flexibility through operational absorptive capacity and operational ambidexterity. J Oper Manag 30(3):201–220

  74. 74.

    Banerjee A, Kim S-L, Burton J (2007) Supply chain coordination through effective multi-stage inventory linkages in a JIT environment. Int J Prod Econ 108(1–2):271–280, doi:http://dx.doi.org/10.1016/j.ijpe.2006.12.015

  75. 75.

    Min W, Sui Pheng L (2006) EOQ, JIT and fixed costs in the ready-mixed concrete industry. Int J Prod Econ 102(1):167–180, doi:http://dx.doi.org/10.1016/j.ijpe.2005.03.002

  76. 76.

    Inman RA, Sale RS, Green KW Jr, Whitten D (2011) Agile manufacturing: Relation to JIT, operational performance and firm performance. J Oper Manag 29(4):343–355, doi:http://dx.doi.org/10.1016/j.jom.2010.06.001

  77. 77.

    Hou T-H, Hu W-C (2011) An integrated MOGA approach to determine the Pareto-optimal kanban number and size for a JIT system. Expert Syst Appl 38(5):5912–5918, doi:http://dx.doi.org/10.1016/j.eswa.2010.11.032

  78. 78.

    Power D, Sohal AS (2000) Human resource management strategies and practices in Just-In-Time environments: Australian case study evidence. Technovation 20(7):373–387, doi:http://dx.doi.org/10.1016/S0166-4972(99)00151-0

  79. 79.

    Moattar Husseini SM, O’Brien C, Hosseini ST (2006) A method to enhance volume flexibility in JIT production control. Int J Prod Econ 104(2):653–665, doi:http://dx.doi.org/10.1016/j.ijpe.2005.05.025

  80. 80.

    Balakrishnan R, Linsmeier T, Venkatakchalam M (1996) Financial benefits from JIT adoption: effects of customer concentration and cost structure. Account Rev 71(2):183–205

  81. 81.

    Fullerton RR, McWatters CS, Fawson C (2003) An examination of the relationships between JIT and financial performance. J Oper Manag 21(4):383–404, doi:http://dx.doi.org/10.1016/S0272-6963(03)00002-0

  82. 82.

    Hadjimarcou J, Brouthers LE, McNicol JP, Michie DE (2013) Maquiladoras in the 21st century: six strategies for success. Bus Horiz 56(2):207–217, doi:http://dx.doi.org/10.1016/j.bushor.2012.11.005

  83. 83.

    Sargent J, Matthews L (2009) China versus Mexico in the Global EPZ Industry: maquiladoras, FDI quality, and plant mortality. World Dev 37(6):1069–1082, doi:http://dx.doi.org/10.1016/j.worlddev.2008.10.002

  84. 84.

    Prodipto RK (1999) Data Warehousing for Textiles, Texinfotech-99. Ministry of Textiles, Govt of India Techno park (I) Ldt.:7-15

  85. 85.

    Priestman S (1985) SQC and JIT: partnership in quality: does culture make a difference? Qual Prog 18(6):31–34

  86. 86.

    Hong JD, Hayya JC, Kim SL (1992) JIT purchasing and setup reduction in an integrated inventory model. Int J Prod Res 30(2):255–266. doi:10.1080/00207549208942893

  87. 87.

    Daesung H, Seung-Lae K (1997) Implementation of JIT purchasing: an integrated approach. Prod Plann Contr 8(2):152–157. doi:10.1080/095372897235415

  88. 88.

    Kumar V, Garg D (2000) JIT elements in Indian context: an analysis. Productivity J 41(2):217–222

  89. 89.

    Vrat P, Mittal S, Tyagi K (1993) Implementation of JIT in Indian environment: a Delhi study. Productivity J 34:251–256

  90. 90.

    Padukone H, Subba RH (1993) Global status of JIT—implication for developing countries. Productivity J 34(3):419–429

  91. 91.

    Garg D, Deshmukh SG, Kaul ON (1996) Critical analysis in JIT purchasing in Indian context. Productivity J 37:271–279

  92. 92.

    Prem V, Mittal S, Tyagi K (1993) Implementation of JIT in Indian environment: a Delphi study. Productivity J 34(2):251–256

  93. 93.

    Baker RC, Chang RE, Chang IC (1994) Switching rules for JIT purchasing. Prod Invent Manag J 35(3):13–17

  94. 94.

    Ebrahimpour M, Schonberger RJ (1984) The Japanese Just-in-Time/Total Quality control production system: potential for developing countries. Int J Prod Res 22(3):421–430

  95. 95.

    Garg S, Vart P, Kanda A (1994) Work culture in JIT environment. Productivity J 35(3):463–466

  96. 96.

    Flynn B, Salakibara S, Schroeder RG (1995) Relationship between JIT and TQM practices and performance. Acad Manag J 38(5):1325–1360

  97. 97.

    Fiedler K, Galletly JE, Bicheno J (1993) Expert advice for JIT implementation. Int J Oper Prod Manag 13(6):23–30

  98. 98.

    Ajit S (1989) Just-in-Time system: an integrated system. Productivity J 30(3):309–314

  99. 99.

    Balakrishnan R, Linsmeier TJ, Venkatakchalam M (1996) Financial benefits from JIT adoption: effects of customer concentration and cost structure. Account Rev 71:183–205

  100. 100.

    Guinipero LC WKL (1990) Organizational changes and JIT implementation. Prod Invent Manag J 3:71–73

  101. 101.

    Muralidharan C, Anantharaman N, Deshmukh S (2001) Vendor rating in purchasing scenario: a confidence interval approach. international. J Oper Prod Manag 21(9):1305–1326

  102. 102.

    Voss CA (1990) Just-in-time manufacture. IFS, Publication Limited. Springer-Verlag, UK

  103. 103.

    Dutton B (1990) Switching to quality excellence. Manuf Syst 8:245–256

  104. 104.

    Kumar V, Garg D, Mehta N (2001) JIT based quality management in Indian industries: prospectus and future directions. Paper presented at the National Conference Supply Chain Managemen, Institute of Public Enterprise

  105. 105.

    Bartezzagi E (1999) The evolution of production models: is a new paradigm emerging? Int J Oper Prod Manag 19(2):229

  106. 106.

    Martel MC (1993) The role of just-in-time purchasing in Dynapert’s transition to world class manufacturing. Prod Invent Manag J 34:71–76

  107. 107.

    Garg D (1999) JIT purchasing: literature review and implications for Indian industry. Prod Plan Control 10(3):276–285. doi:10.1080/095372899233235

  108. 108.

    Miltenbirg GJ (1990) Changing MRP’s costing procedure to suit JIT. Prod Invent Manag J 31(2):77–83

  109. 109.

    Singh P, Bhandarkar A (1996) Paradigm shift in Indian industries: the need for tolerance of ambiguity. MDI Manag J 9:106–112

  110. 110.

    Singhvi S (1992) Employee involvement in JIT success: Eicher experience. Productivity J 33:366–369

  111. 111.

    Bonito JG (1990) Motivating employees for continuous improvement efforts. Prod Inventory Manag Review with APICS new 8:225–236

  112. 112.

    Chong VK, Rundus MJ (2000) The effect of new manufacturing practices and intensity of market competition on organizational performance: an empirical investigation. Paper presented at the International Conference on Management Research Accounting Research and Case Symposium, Mesa, Arizona, U.S.A.

  113. 113.

    Garg D (1997) Relevance of JIT purchasing in Indian industries. Kurukshetra University, Kurukshetra, India

  114. 114.

    Delbridge R (1995) Surviving JIT: control and resistance in a Japanese transplan. J Manag Stud 32:803–817

  115. 115.

    Vuppalipati K, Ahire SL, Gupta T (1995) JIT and TQM: a case for joint implementation. Int J Oper Prod Manag 15(5):84–94

  116. 116.

    Macbeth DK, Baxter LF, Farguson N, Neil GC (1988) Buyer-vendor relationship with just-in-time: lessons from US multinationals. Ind Eng 20(9):28–41

  117. 117.

    Carter JR, Narsimhan R (1996) Is price really strategic? Int J Purch Mater Manag 32(1):20–28

  118. 118.

    Parnaby J (1988) A system approach to the implementation of JIT methodologies in Lucas Industries. Int J Prod Res 26(2):483–492

  119. 119.

    Sakuri K (1986) Japanese worker attitudes: a key factor to productivity. Int J Oper Prod Manag 6(1):42–53

  120. 120.

    Lee S, Ebrahimpour M (1985) Just-in-time production system: some requirements for implementation. Int J Oper Prod Manag 4(4):3–15

  121. 121.

    Roy RN, Guin KK (1996) JIT: World scenario and possibility of its applicability in Indian industries. Paper presented at the National conference on operation research in modern technology, REC Kurukshetra

Download references

Author information

Correspondence to Jorge L. García Alcaraz.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Alcaraz, J.L.G., Macías, A.A.M., Luevano, D.J.P. et al. Main benefits obtained from a successful JIT implementation. Int J Adv Manuf Technol 86, 2711–2722 (2016). https://doi.org/10.1007/s00170-016-8399-5

Download citation


  • JIT benefits
  • Factor analysis
  • Data reduction
  • JIT implementation
  • Maquiladora