ارزیابی عوامل کلیدی پیاده‌سازی موفق تولید در کلاس جهانی با استفاده از رویکرد یکپارچه مدل‌سازی ساختاری تفسیری (ISM)، تئوری گراف و رویکرد ماتریسی (GTMA) (مطالعه موردی:گروه ایران‌خودرو و سایپا)

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشیار دانشگاه شهید بهشتی، تهران، ایران

2 دانشجوی کارشناسی ارشد مدیریت صنعتی، دانشگاه شهید بهشتی، تهران، ایران

چکیده

تولید در کلاس جهانی (WCM) یک مفهوم کلیدی و مهم در جهان معاصر است که توجه بسیاری از صنایع را به خود جلب کرده است. بسیاری سازمان‌ها از سیستم تولید در کلاس جهانی به‌منظور رقابت در بازار جهانی استفاده می‌کنند. دیدگاه‌های گوناگونی درمورد فلسفه و مفاهیم ویژگی‌های WCM مطرح است اما آنچه به‌عنوان عنصر کلیدی مطرح است، رسیدن به عملکردی مطابق با "بهترین‌ها در سطح جهانی" است. تاکنون عوامل متعددی شناسایی شده‌اند که بر پیاده‌سازی موفق تولید در کلاس جهانی مؤثر هستند، اما پژوهش‌های کمی در حوزه ارزیابی این عوامل در کشورهای در حال توسعه انجام شده است. هدف اصلی این مقاله، ارائه تکنیکی برای ارزیابی عوامل کلیدی پیاده‌سازی موفق تولید در کلاس جهانی و مقایسه توانایی دو شرکت مورد مطالعه در پیاده‌سازی WCM، با توجه به شاخص نهایی به‌دست آمده برای هر شرکت است. این تکنیک ترکیبی از دو رویکرد مدل‌سازی ساختاری تفسیری (ISM)، تئوری گراف و رویکرد ماتریسی (GTMA) است که در دو شرکت خودروسازی (ایران‌خودرو و سایپا) به‌کار گرفته شده است. براساس نتایج این پژوهش، امکان تعیین میزان توانایی شرکت‌ها در پیاده‌سازی WCM، همچنین مقایسه و رتبه‌بندی شرکت‌ها از حیث توانایی در پیاده‌سازی WCM با توجه به شاخص هر شرکت فراهم می‌شود.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluating the Key Factors of Successful Implementation of World Class Manufacturing Using an Integrated Approach of Interpretive Structural Modeling(ISM), Graph Theory and Matrix Approach (GTMA): A Case Study for Iran Khodro and Saipa in Iran

نویسندگان [English]

  • akbar Alem Tabriz 1
  • hamid reza Talaie 2
  • elnaz Moradi 2
1 Associate Prof., Industrial Management, University of Shahid Beheshti, Tehran, Iran
2 MSc. Student in Industrial Management, University of Shahid Beheshti, Tehran, Iran
چکیده [English]

World Class Manufacturing (WCM) is a key concept in the contemporary world that has attracted the attention of many industries. Many of the organizations in order to compete in the global market use world class manufacturing system. There are different views about the philosophy and concepts of WCM features, but what is considered as a key element is to achieve performance consistent with the "best in the world". Many factors that contribute to the successful implementation of world class manufacturing have been identified, but a little research on the evaluation of these factors has been done in developing countries. The main objective of this paper is to present a technique that assesses key factors of the successful implementation of world class manufacturing and shows the impact of these factors on the implementation of world class manufacturing in the form of a numeric index that is attributed to the organization. This technique combines two approaches that are interpretive structural modeling (ISM), graph theory and matrix approach (GTMA). Also, the numerical index of the technique provides the capable of comparing and ranking organizations in terms of the WCM implementation. To implement this technique in two automobile companies (Iran Khodro and Saipa) important factors in the implementation of world-class Manufacturing have been identified and assessed

کلیدواژه‌ها [English]

  • World class manufacturing
  • Interpretive structural modeling
  • Graph Theory
  • Matrix approach
Azzone, G., Masella, C. &Bertele, U. (1991). Design of performance measures for time-based companies. International Journal of Operations & Production Management, 11(3), 77-85.##
Agarwal, A., Shankar, R., Tiwari, M.K. )2007(. Modeling agility of supply chain. Industrial Marketing Management, 36(4), 443-457.##
Eid, R. (2009). Factors affecting the success of world class manufacturing implementation in less developed countries: the case of Egypt. Journal of Manufacturing TechnologyManagement, 20(7), 989–1008.##
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.##
Green, K.W. Jr, & Inman, R.A. (2005). Does implementation of a JIT-with-customers strategy change an organization’s structure? Industrial Management & Data Systems, 106(8), 1077-94.##
Grover, S., Agrawal, V.P., Khan, I.A. (2004). Role of human factors in TQM: a graph theoric approach. Benchmarking: An International Journal, 42(19), 4031–4053.##
Huang, J., Tzeng, G., Ong, Ch. )2005(. Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26, 755-767##
Jitesh Thakkar, Arun Kanda, S.G. Deshmukh, (2008). Evaluation of buyer-supplier relationships using an integrated mathematical approach of interpretive structural modeling (ISM) and graph theoretic matrix: The case study of Indian automotive SMEs. Journal of Manufacturing Technology Management, 19(1), 92–124.##
Kannan, G., Haq, A.N., Sasikumar, P., Arunachalam, S. (2008).Analysis and selection of green suppliers using interpretative structural modeling and analytic hierarchy process. International Journal of Management and Decision Making, 9(2), 163–82.##
Mandal, A., Deshmukh, S.G. (1994). Vendor selection using interpretive structural modeling (ISM). International Journal of Operation & Production Management, 14(6), 52-59.##
Maskell, B., (1989). Performance measurement for world class manufacturing: part 3. Manufacturing Systems, 7(9), 36-41.##
Narayan, V.K. (2001). Managing Technology and Innovation for Competitive Advantage. Pearson Education.##
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.##
Rao, R.V. (2006). A decision-making framework model for evaluating flexible manufacturing systems using digraph and matrix methods. International Journal of Advanced Manufacturing Technology, 30(11-12), 1101-1110.##
Rao, R.V., Padmanabhan, K.K. (2007). Rapid prototyping process selection using graph theory and matrix approach. Journal of Materials Processing Technology, 194(1-3), 81–88.##
Reed, R. (1991). CIM and world class performance–are they really compatible? P & IM Review, 32-3.##
Safaei Ghadikolaei, A., Baboli, A.M., Elyasi, Z., Akbarzadeh, Z. (2011). Comparison of comparative world-class manufacturing in the Iranian and Indian automotive industries whit PVA algorithm (Case study: Irankhodro company). European Journal of Scientific Research, 61(2), 273-281.##
Sangwan K.S. & Digalwar, A.K. (2008). Evaluation of world-class manufacturing systems:a case of Indian automotive industries. International Journal of Services and Operations Management, 4(6), 687-708.##
Schlotterbeck, D. (1989). World class manufacturing proves first-class success. Manufacturing Systems, pp. 66-9.##
Sinclair, D. & Zairi, M. (2001). An empirical study of key elements of total quality based measurement systems: a case study approach in the service industry sector. Total Quality Management, 12(4), 535-50.##
Sohal, A.S. & Terziovski, M. (2000). TQM in Australian manufacturing: factor critical to success. International Journal of Quality & Reliability Management, 17(2), 158-68.##
Stalk, G. & Hout, T. (1990). Redesign your organization for time-based management. Planning Review, 18(1), 4-9.##
Svensson, M. & Klefsjo, B. (2000). Experiences from creating a quality culture for continuous improvements in Swedish School sector by using self-assessments. Total Quality Management, 11(4&6), 800-7.##
Tilak, Raj, Ravi Shankar, Mohammed Suhaib (2010). GTA-based framework for evaluating the feasibility of transition to FMS. Journal of Manufacturing Technology Management, 21(2), 160-187.##
Valovic, T. (1992). Can high-speed networks help US companies regain a competitive edge? Telecommunications, 26(6), 25-8.##
Varinder Singh, V.P. Agrawal, (2008). Structural modelling and integrative analysis of manufacturing systems using graph theoretic approach. Journal of Manufacturing Technology Management, 19(7), 844–870.##
Weimer, G., Knill, B., Manji, J. and Beckert, B.(1992). Integrated manufacturing compressing time-to-market today’s competitive edge. Industrial Management, 47(4), IM2-IM16.##