Assessing the impact of just-in-time on operational performance at varying degrees of repetitiveness

International Journal of Production Research

Volumn 51, Issue 4, 2013, Pages 1117-1130

  Bortolotti, Thomas ^a   Danese, Pamela ^b   Romano, Pietro ^a  

^a UNIVERSITY OF UDINE   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

High performance manufacturing; Just in time; Lean; Non repetitive manufacturing; Operational performance; Structural equation modelling

Indexed keywords

EFFICIENCY; MANUFACTURE; MARKETING; PRODUCT DEVELOPMENT; SURVEYS;

JUST IN TIME; JUST IN TIME PRACTICES; LEAN; OPERATIONAL PERFORMANCE; PRODUCT CUSTOMISATION; REPETITIVE MANUFACTURING SYSTEM; STRUCTURAL EQUATION MODELLING; STRUCTURAL EQUATION MODELLING (SEM);

JUST IN TIME PRODUCTION;

EID: 84871299867     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2012.678403     Document Type: Article

References (65)

1. Abdulmalek, F. and Rajgopal, J., 2007. Analyzing the benefits of lean manufacturing and value stream mapping via simulation. A process sector case study. International Journal of Production Economics, 107 (1), 223-236.
2. Abdulmalek, F., Rajgopal, J., and Needy, K.L., 2006. A classification model for the process industry to guide the implementation of lean. Engineering Management Journal, 18 (1), 15-25.
3. Agarwal, A., Shankar, R., and Tiwari, M.K., 2006. Modeling the metrics of lean, agile and leagile supply chain: an ANP-based approach. European Journal of Operational Research, 173 (1), 211-225.
4. Aigbedo, H., 2007. An assessment of the effect of mass customisation on suppliers’ inventory levels in a JIT supply chain. European Journal of Operational Research, 181 (2), 704-715.
5. Amaro, G., Hendry, L., and Kingsman, B., 1999. Competitive advantage, customisation and a new taxonomy for non make-to-stock companies. International Journal of Operations and Production Management, 19 (4), 349-371.
6. Anderson, J.C. and Gerbing, D.W., 1988. Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103 (3), 411-423.
7. Angra, S., Sehgal, R., and Samsudeen Noori, Z., 2008. Cellular manufacturing: a time-based analysis to the layout problem. International Journal of Production Economics, 112 (1), 427-438.
8. Bagozzi, R.P., Yi, Y., and Phillips, L.W., 1991. Assessing construct validity in organisational research. Administrative Science Quarterly, 36 (3), 421.
9. Baron, R.M. and Kenny, D.A., 1986. The mediator-moderator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 5 (6), 1173-1182.
10. Biggart, T.B. and Gargeya, VB., 2002. Impact of JIT on inventory to sales ratios. Industrial Management and Data Systems, 102 (4), 197-202.
11. Bozarth, C.C., et al., 2009. The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27 (1), 78-93.
12. Brown, K.A. and Mitchell, T.R., 1991. A comparison of just-in-time and batch manufacturing: the role of performance obstacles. Academy of Management Journal, 34 (4), 906-917.
13. Crute, V., et al., 2003. Implementing Lean in aerospace - Challenging the assumptions and understanding the challenges. Technovation, 23 (12), 917-928.
14. Cua, K.O., McKone, K.E., and Schroeder, R.G., 2001. Relationships between implementation of TQM, JIT, and TPM and manufacturing performance. Journal of Operations Management, 19 (6), 675-694.
15. Danese, P. and Romano, P., 2004. Improving Inter-functional coordination to face high product variety and frequent modifications. International Journal of Operations and Production Management, 24 (9), 863-885.
16. Danese, P., Romano, P., and Bortolotti, T., 2012. JIT-production, JIT-supply, and performance: investigating the moderating effects. Industrial Management & Data Systems, 112 (3), 441-465.
17. Davy, J.A., et al., 1992. A derivation of the underlying constructs of just-in-time management systems. Academy of Management Journal, 35 (3), 653-670.
18. Flynn, B.B., Sakakibara, S., and Schroeder, R.G., 1995. Relationship between JIT and TQM: practices and performance. Academy of Management Journal, 38 (5), 1325-1360.
19. Forrester, J.W., 1961. Industrial dynamics. Cambridge: MA, USA: The MIT Press.
20. Fullerton, R. and McWatters, C.S., 2001. The production performance benefits from JIT implementation. Journal of Operations Management, 19 (1), 81-96.
21. Furlan, A., Dal Pont, G., and Vinelli, A., 2010. On the complementarity between internal and external just-in-time bundles to build and sustain high performance manufacturing. International Journal of Production Economics, 133 (2), 489-495.
22. Furlan, A., Romano, P., and Camuffo, A., 2006. Customer-supplier integration forms in the high-precision air-conditioning supply chains. Journal of Manufacturing Technology Management, 17 (5), 633-655.
23. Fynes, B., De Burca, S., and Marshall, D., 2004. Environmental uncertainty, supply chain relationship quality and performance. Journal of Purchasing and Supply Management, 10 (4-5 Special Issue), 179-190.
24. Griffiths, J., James, R., and Kempson, J., 2000. Focusing customer demand through manufacturing supply chains by the use of customer focused cells: an appraisal. International Journal of Production Economics, 65 (1), 111-120.
25. Hassan, M.M.D., 1995. Layout design in group technology manufacturing. International Journal of Production Economics, 38 (2-3), 173-188.
26. Hicks, C. and Braiden, P.M., 2000. Computer-aided production management issues in the engineer-to-order production of complex capital goods explored using a simulation approach. International Journal of Production Research, 38 (18), 4783-4810.
27. Holweg, M., 2005. The three dimensions of responsiveness. International Journal of Operations and Production Management, 25 (7), 603-622.
28. Hsu, C., et al., 2009. Supply chain management practices as a mediator of the relationship between operations capability and firm performance. International Journal of Production Research, 47 (3), 835-855.
29. Huang, X., Kristal, M.M., and Schroeder, R.G., 2008. Linking learning and effective process implementation to mass customisation capability. Journal of Operations Management, 26 (6), 714-729.
30. Iacobucci, D., Saldanha, N., and Deng, X., 2007. A meditation on mediation: Evidence that structural equations models perform better than regressions. Journal of Consumer Psychology, 17 (2), 139-153.
31. Jina, J., Bhattacharya, A.K., and Walton, A.D., 1997. Applying lean principles for high product variety and low volumes: some issues and propositions. Logistics Information Management, 10 (1), 5-13.
32. Ketokivi, M. and Schroeder, R., 2004. Manufacturing practices, strategic fit and performance: a routine-based view. International Journal of Operations and Production Management, 24 (1-2), 171-191.
33. Koufteros, X.A., Vonderembse, M.A., and Doll, W.J., 1998. Developing measures of time-based manufacturing. Journal of Operations Management, 16 (1), 21-41.
34. Kristal, M.M., Huang, X., and Schroeder, R.G., 2010. The effect of quality management on mass customisation capability. International Journal of Operations and Production Management, 30 (9), 900-922.
35. Lander, E. and Liker, J.K., 2007. The Toyota Production System and art: making highly customised and creative products the Toyota way. International Journal of Production Research, 45 (16), 3681-3698.
36. Liu, G., McKone-Sweet, K., and Shah, R., 2009. Assessing the performance impact of supply chain planning in net-enhanced organisations. Operations Management Research, 2 (1), 33-43.
37. Mackelprang, A.W. and Nair, A., 2010. Relationship between just-in-time manufacturing practices and performance: a meta-analytic investigation. Journal of Operations Management, 28 (4), 283-302.
38. Manoochehri, G.H., 1984. Suppliers and the just-in-time concept. Journal of Purchasing and Materials Management, 20 (4), 16-21.
39. Martinez-Olvera, C., 2009. Benefits of using hybrid business models within a supply chain. International Journal of Production Economics, 120 (2), 501-511.
40. McKone, K.E., Schroeder, R.G., and Cua, K.O., 2001. Impact of total productive maintenance practices on manufacturing performance. Journal of Operations Management, 19 (1), 39-58.
41. McKone-Sweet, K. and Lee, Y., 2009. Development and analysis of a supply chain strategy taxonomy. Journal of Supply Chain Management, 45 (3), 3-24.
42. McIntosh, R.I., et al., 2000. A critical evaluation of Shingo’s ‘SMED’ (Single Minute Exchange of Die) methodology. International Journal of Production Research, 38 (11), 2377-2395.
43. Mistry, J.J., 2005. Origins of profitability through JIT processes in the supply chain. Industrial Management and Data Systems, 105 (6), 752-768.
44. Monden, Y., 1981. What makes the Toyota production system really tick? Industrial Engineering, 13 (1), 36-46.
45. Muda, S. and Hendry, L., 2002. Proposing a world-class manufacturing concept for the make-to-order sector. International Journal of Production Research, 40 (2), 353-373.
46. Olhager, J., 2003. Strategic positioning of the order penetration point. International Journal of Production Economics, 85 (3), 319-329.
47. Persona, A., Regattieri, A., and Romano, P., 2004. An integrated reference model for production planning and control in SMEs. Journal of Manufacturing Technology Management, 15 (7), 626-640.
48. Ping, R.A., 1995. A parsimonious estimating technique for interaction and quadratic latent variables. Journal of Marketing Research, 32 (August), 336-347.
49. Reichhart, A. and Holweg, M., 2007. Creating the customer-responsive supply chain: a reconciliation of concepts. International Journal of Operations and Production Management, 27 (11), 1144-1172.
50. Rother, M. and Shook, J., 1999. Learning to see: value stream mapping to add value and eliminate muda. Brookline, MA: The Lean Enterprise Institute, Inc.
51. Sakakibara, S., et al., 1997. The impact of just-in-time manufacturing and its infrastructure on manufacturing performance. Management Science, 43 (9), 1246-1257.
52. Schonberger, R.J., 1982. Some observations on the advantages and implementation issues of just-in-time production systems. Journal of Operations Management, 3 (1), 1-11.
53. Schroeder, R.G. and Flynn, B.B., 2001. High performance manufacturing: global perspectives. New York, NY: Wiley.
54. Shah, R. and Ward, P.T., 2003. Lean manufacturing: context, practice bundles, and performance. Journal of Operations Management, 21 (2), 129-149.
55. Shah, R., Chandrasekaran, A., and Linderman, K., 2008. In pursuit of implementation patterns: the context of Lean and Six Sigma. International Journal of Production Research, 46 (23), 6679-6699.
56. Shah, R. and Ward, P.T., 2007. Defining and developing measures of lean production. Journal of Operations Management, 25 (4), 785-805.
57. Sila, I., 2007. Examining the effects of contextual factors on TQM and performance through the lens of organizational theories: An empirical study. Journal of Operations Management, 25 (1), 83-109.
58. Shingo, S., 1985. A revolution in manufacturing: the SMED system. Oregon: Productivity Press.
59. Stratton, R. and Warburton, R.D.H., 2003. The strategic integration of agile and lean supply. International Journal of Production Economics, 85 (2), 183-198.
60. Swank, C.K., 2003. The Lean service machine. Harvard Business Review, 81 (10), 123-129 + 138.
61. Venables, M., 2005. Going for lean. Manufacturing Engineer, 84 (4), 26-31.
62. White, R.E. and Prybutok, V., 2001. The relationship between JIT practices and type of production system. Omega, 29 (2), 113-124.
63. Womack, J., Jones, D., and Roos, D., 1990. The machine that changed the world. New York, NY: Rowson Associates.
64. Womack, J.P. and Jones, D.T., 1996. Lean thinking: banish waste and create wealth in your corporation. London: Simon & Schuster.
65. Wullink, G., et al., 2004. Scenario-based approach for flexible resource loading under uncertainty. International Journal of Production Research, 42 (24), 5079-5098.