Explanation the implementation barriers of JiT system using ISM approach and path analysis (Case Study: Gas Industry)

Subject Areas : Strategic Management Researches

mehdi ajali ¹ (دانشجوی دکتری مدیریت صنعتی دانشگاه تهران)
ezatolah asgharizadeh ² (دانشیار مدیریت صنعتی، دانشگاه تهران)

Received: 2015-07-02 Accepted : 2015-08-02 Published : 2016-05-21

Keywords: Path analysis, Obstacles, Just in Time Manufacturing, Interpretive Structural Modeling,

Abstract :

  Just in Time (JiT) is a manufacturing/service system by initial goal of continues decreasing and finally the deleting of all of waste forms.  Now, world class organizations are completely conformable about acceptation and implementation JiT manufacturing/service for improving of productivity and competition with competitors. Without doubt, JiT as the most strong of inventory management methodology is facing with barriers and problems. One of basic tasks of top management is identification and perception of relationship between the JiT barriers through decreasing of bad effects. Original goals of this paper are the studying of falconer barriers in successful implementation of JiT manufacturing/service in gas industry of Iran, and analyzing of reciprocal influences between barriers using interpretive structural modeling (ISM). For this purpose, the 12 barriers were identified by literature review and interview with experts. Then by distribution and gathering of 170 questioners and using statistical tests (Kolmogorov-Smirnov and mean), the main hypothesis of this research and 12 secondary hypotheses are confirmed. Also for answering to research main question (How is the relationship and sequence between barriers?), ISM approach is used, and the barriers placed in 7 Levels. Finally, the obtained structural model is confirmed using path analysis method (second order of the confirmatory factor analysis). To this order, a conceptual plan is proposed for presenting of practical program for competition by implementation barriers of JiT manufacturing/service system and improving of productivity.

References:

 

عالم‌تبریز اکبر، طلایی حمیدرضا و الناز مرادی (1392). ارزیابی عوامل کلیدی پیاده سازی موفق تولید در کلاس جهانی با استفاده از رویکرد یکپارچه مدل سازی ساختاری تفسیری (ISM)، تئوری گراف و رویکرد ماتریسی (GTMA)، مطالعه‌ی موردی: گروه ایران خودرو و سایپا، نشریه مدیریت صنعتی دانشکده مدیریت دانشگاه تهران، دوره 5، شماره 1.
مؤمنی منصور و علی فعال قیومی (1387). تحلیل‌های آماری با نرم‌افزار SPSS، تهران: کتاب نو.
جعفرنژاد، احمد (1393). مدیریت تولید و عملیات نوین؛ چاپ دوم، انتشارات دانشکده مدیریت دانشگاه تهران.
داوری علی و آرش رضازاده (1393). مدل‌سازی معادلات ساختاری با نرم‌افزار PLS، چاپ دوم، سازمان انتشارات جهاد دانشگاهی.

 

Alfieri A, Cantamessa M, Montagna F (2012). The SoS approach for lean manufacturing systems. Int J Technol Manag 57(123):149–165.
Bayo-Moriones A, Bello-Pintado A, Merino-Dı´az-de-Cerio J (2008). The role of organizational context and infrastructure practices in JIT implementation. Int J Oper Prod Manag 28(11):1042–1066.
Crawford KM, Blackstone JH Jr, Cox JF (1988). A study of JIT implementation and operating problems. Int J Prod Res 26(9):1561–1568.
Danese P, Romano P, Bortolotti T (2012). JIT production, JIT supply and performance: investigating the moderating effects. Ind Manag Data Syst 112(3):441–465.
Eswaramoorthi M, Kathiresan GR, Prasad PSS, Mohanram PV (2011). A survey on lean practices in Indian machine tool industries. Int J Adv Manuf Technol 52(9–13):1091–1101.
Faisal MN. Banwet DK., Shankar R.(2007). “Quantification of Risk Mitigation Environment of Supply Chains Using Graph Theory and Matrix Methods”, European J. Industrial Engineering, Vol. 1, No. 1, pp. 29-39.
Farris DR, Sage AP (1975). On the use of interpretive structural modeling for worth assessment. Compute Electr Eng2(2–3):149–174
Huang, J., Tzeng, G., Ong, Ch. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26, 755-767
Im JH (1989). How does Kanban work in American companies. Prod Inventory Manag J Fourth Quart 30:22–29.
Mandal, A., Deshmukh, S.G. (1994). Vendor selection using interpretive
Mungan D, Yu J, Sarker BR (2010). Manufacturing lotsizing, procurement and delivery schedules over a finite planning horizon. Int J Prod Res 48(12):3619–3636.
Pandey, V.C. & Garg, S. (2009). Analysis of interaction among the enablers of agility in supply chain. Journal of Advances in Management Research (JAMR), 6(1), 99-114.
Roy MD, Sana SS, Chaudhuri K (2012). An integrated producer–buyer relationship in the environment of EMQ and JIT production systems. Int J Prod Res 50(19):5597–5614.
Sim KL, Rogers JW (2008). Implementing lean production systems: barriers to change. Manag Res News 32(1):37–49.
So S, Sun H (2011). An extension of IDT in examining the relationship between electronic-enabled supply chain integration and the adoption of lean production. Int J Prod Res 49(2):447–466.
Talib F, Rahman Z, Qureshi MN (2011). Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach. Benchmarking Int J 18(4):563–587.
Upadhye N, Deshmukh SG, Garg S (2010). Lean manufacturing in biscuit manufacturing plant: a case. Int J Adv Oper Manag 2(1/2):108–139.
Warfield JW (1974). Developing interconnected matrices in structural modeling. IEEE Transcr Syst Men Cybern 4(1):81–87
Whalen MJ, Rahim MA (1994). Common barriers to implementation and development of a TQM process. Ind Manag 36(2):19–24.
Wong YC, Wong KY, Ali A (2009). A study on lean manufacturing implementation in the Malaysian electrical and electronics industry. Eur J Sci Res 38(4):521–535.
Yasin MM, Small Wafa M A (2003). Organizational modifications to support JIT implementation in manufacturing and service operations’. Omega Int J Manag Sci 31(3):213–226.