تدوین استراتژی پایش بهره‌وری صنایع تولیدی کوچک و متوسط با رویکرد مدل سازی ساختاری تفسیری

نوع مقاله: علمی پژوهشی

نویسندگان

1 دانشیار گروه مدیریت / دانشگاه گیلان

2 مدیر اداری و مالی / موسسه آموزش عالی راهبرد شمال

3 کارشناسی ارشد مهندسی صنایع / موسسه آموزش عالی راهبرد شمال

چکیده

در این مقاله تلاش شده تا مؤثر­ترین شاخص­های تأثیر­گذار بر بهره­وری صنایع تولیدی کوچک و متوسط، در صنایع تولید قطعات مورد نیاز شرکت نفت شناسایی شود و با استفاده از رویکرد ساختاری تفسیری نسبت اهمیت هر یک در مقایسه با یکدیگر مشخص و در نهایت مدلی جهت پایش مستمر بهره­وری آنها ارائه گردد. برای تشخیص شاخص­های مؤثر بر بهره­وری تولید قطعات مورد نیاز صنعت نفت و ارائه مدلی کاربردی جهت رسیدن به سطح مطلوبی از آن، چهار سازمان تولیدی کوچک و متوسط، با نیروی شاغل کمتر از 150 نفر مورد مطالعه قرار گرفته و در نتیجه با استفاده از مطالعات مرتبط با بهره­وری آن شرکت­ها و استفاده از نظرات خبرگان شاغل در آن، شانزده شاخص جهت افزایش بهره­وری تولید در پنج بعد شناسایی و بررسی گردید. روابط بین این شاخص­ها مبتنی بر مدل ساختاری تفسیری تعیین گردیده و مدلی نو، به شکل سیستماتیک، تدوین و ارائه شده است. نتیجه مقاله دلالت بر اهمیت قابل توجه اخذ گواهینامه­ها و استاندارد­های مرتبط با صنعت معرفی شده و پایش دوره­ای آنها دارد و در مرتبه دوم اهمیت می­توان به آموزش پرسنل مؤثر آنها و نیز بهبود سیستم تهیه مواد اولیه مورد استفاده جهت تولید اشاره نمود

کلیدواژه‌ها


عنوان مقاله [English]

The Codification Strategy of productivity surveillance in small and medium industries with interpretive structural modelling

نویسندگان [English]

  • Reza Esmaelpour 1
  • Mohammad Takhire 2
  • Maryam Ojagzadeh 3
چکیده [English]

Nowdays, a great number of organizations with small and medium dimensions are active in the industry that manufactures oil company’s parts and has significant effects on financial growth and job creation in national arena. According to full-competitive atmosphere resulting from the number of these companies and lack of production process complexity of these parts in mass production, these organizations, in order to countinue their life in full-competitive atmosphere of mentioned industry, requires gaining desirable conditions and acceration of their production efficiency, because presence of different rivals, being production-oriented and copious problems of production process, will subject them to damages. It seems a practical model to deal with these obstacles. In this paper for identifying the influential indexes on efficiency of manufacturing required parts in oil industry and presenting an applied model for reaching a desired level of it, four small and medium organizations, with peronnel less than 150 employees, were studied, and subsequently for increasing the production’s efficiency, 16 indexes were identified and surveyed in 5 dimensions. Relations between these indexes are identified based on Interpretative Structural Model and a novel model was edited and represented systematically. The result indicated the importance of obtaining striking certification and standards related to the industry and their periodic monitoring, in the secondary step will be to educate key personnel and improve raw materials used to produce more.

کلیدواژه‌ها [English]

  • Productivity Indicators
  • Influence-Dependence Analysis
  • ISM
Abbasian, A., & Mehrgan, N. (2007). Assessing productivity of factors related to economy sectors employing DEA. Economic Research, 78, 153-176, (In Persian).

Alamtabriz, A., Talaee, H., & Moradi, E. (2014). Evaluation of key factors of successful implementation in World class by using integrated approach of interpretive structural Modelling, graph theory and Matrix approach GTMA (case study: the group of Iran Khodro Saipa). The Journal of Industrial Management, 1, 63-81, (In Persian).

Aminbidokhti, A. A., & Zargar, S. M. (2012). Pathology of small and medium-sized businesses and expression of practical strategies to supporting them (case study: Semnan province). Management and Development Process, 78, 125-156, (In Persian).

Azar, A., & Bayat, K. (2009). The design model of process-centric business with interpretive structural modelling. The Journal of Information Technology Management, 1, 3-18, (In Persian).

Esmaeelpour, R., Kashani S. H., & Nikookar H. (2015). Sharing knowledge, The role of their affect factors and efficiency organization. The Journal of Efficiency Management, 31, 51-73, (In Persian).

Firoozjaeian, A. A., & Firoozjaeian, M. (2013). The application of interpretive structural modelling in tourism studies. (a pathologically analysis). The Journal of Planning for Tourism Development. 6, 129-159, (In Persian).

Feizpoor, M. A., Naeb, S., & Firoozabadi, G. (2012). Factors affecting efficiency of non-metallic minerals industry during the third development plan and their analysis. The Journal of Industrial Management, 2, 113-134, (In Persian).

Faisal M. N., Banwat D. K., & Shankar R. (2006). Supply chain risk mitigation: Modeling the enablers, Business Process Management Journal, 4, 532-552.

Ghalavand, H. (2012). Manufacturing and shopping of necessary parts Oil within the country. Online news magazine khuz news, 17975, (In Persian).

Idsom, T. L., & Walter y, O. I. (1999). Workers are more productive in large Firms. American Economic Review, 2, 104-108.

Jafarnejad, A., & Shahaee, B. (2007). Introduction to organizational agility and agile manufacturing. Tehran: Mehraban Nashr (In Persian).

Jafarnejad, A., & Zarehee, A. A. (2005). The role of internal organizational factors in expression of a model for conversion of existing organizations to agile organizations in electronics and telecommunications industry of country. Culture Management, 10, 67-86, (In Persian).

Jharkharia, S., & Shankarit, R. (2004). Enablement of supply chains, Modeling the enablers. International Journal of Productivity & Performance Management, 8, 700-712.

Karimi, H. (2010). Introduction to efficiency, institute of higher education of shandize Mashhad. Unpublished Notes, 63 & 82, (In Persian).

Khodad Hoseini, S. H., Hamidizadeh, M. R., Hoseini, S. M., Kashevi, M., & Lashkarbol, M. (2011). Designing the process model of robust strategy under uncertainty. Journal of Strategic Management Studies, 5, 83-109, (In Persian).

Lotfipoor, M. R., & Derakhshani, M. (2010). Measurement and analyze of efficiency manufacturing organizations for small and medium industries in Toos industrial Estate. The Journal of Knowledge & Development, 29, 77-95, (In Persian).

Magliocca, L. A., & Christakis, A. N. (2001). Creating transforming leadership for organizational change. The cogniscope system approach. System Research and Behavioral Science, 3, 259-277.

Mandal A., & Deshmukh S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 6, 52-59.

Mohammadi, A., & Amiri, Y. (2012). Approach of interpretive structural model for achieve agility through information technology in manufacturing organizations. The Journal of Information Technology Management, 13, 115-134, (In Persian).

Moayeni, G. H. (2011). Accreditation for 1650 foreign companies to login Oil vendor list of Iran. Official sites Petroleum Engineering and Development, 1985, (In Persian).

Moulaei, M. (2003). The Analysis and comparsion of productivity diifferent the small and large scale industrial group in Iran. The Iranian economic research, 22, 157-175, (In Persian).

Naderi, A. R., Mollahhoseini, A., & Nasresfehani, M. (2011). Ranking for affecting factors to efficiency of manpower in small and medium industries by using of AHP-Fuzzy methods (Case study:Small and medium industries in Isfahan province). International conference on economic Jihad. Kerman, (In Persian).

Nasirzadeh, F., & Nojedehi, P. (2013). Dynamic modeling of labor productivity in construction projects. International Journal of Project Management, 6, 903-911.

Olia, M. A., Mirghafori, S. H., & Shahvazian, S. (2011). Codification of Map strategy organization by using of ISM Model. The Journal of Exploration Business Administration, 4, 92-106, (In Persian).

Overby E., Bharadwaj A., & Sambamurthy V. (2006). Enterprise agility & the enabling role of information technology. European Journal of Information Systems, 2, 120-131.

Ramazanian, M. R., & Esmaeelpour, R. (2013). Quality management. Rasht. Guilan university publication, 1, (In Persian).

Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting & Social Change, 72, 1011– 1029.

Ravi, V., Shankar, R., & Tiwari, M. K. (2005). Productivity improvement of a computer hardware Supply Chain. Performance Management International Journal of Productivity, 4, 239-255.

Sepehrdoost, H., & Kamran, N. (2014). Efficiency evaluation and sensitivity factors affecting performance for small industries. The Journal of Economic Research. (2014). 1, 155-174, (In Persian).

Seyedhoseini, S. M., Ahmadi, A., Fekri, A., & Fathian, M. (2010). Agile new product dvevlopment model using path analysis method for Iranian auto industriesa. International Journal of Industrial Engineering and Production Management, 20, 77-89, (In Persian).

Shiu, A., & Heshmati, A. (2006). Technical change and total factor productivity growth for chinese provinces. A panel data analysis. IZA Discussion Paper, 2133.

Tahmasebi, M. R. (2013). Manufacturing of more than 2500 macro pieces for excavation to be localization. Official site of National Oil Company of Iran, 8457, (In Persian).

Tavari, M., Sokhekian, M. A., & Mirzanejad, M.A. (2008). Identify and rank of factors affecting of factors for human efficiency by using of MADM method (case study: the one of Production companies for jean clothing in Yazd province). The Journal of Industrial Management, 1, 71-87, (In Persian).

Yadollahi, J., Aghajani, H. A., & Aghajani, A. A. (2009). Identification of affecting internal factors on the performance of small and medium companies and providing an effective model. The Journal of Management (Pazhooheshgar), 14, 12-28, (In Persian).

Yousefi, A. (2012). Investigate of the relationship between efficiency and continuous improvement and performance management system. Retrieved from: http://www.system.parsiblog.com/,(In Persian).