ارزیابی و تحلیل شاخص های بهره وری در صنایع تولیدی با استفاده از تکنیک پرامیتی
محورهای موضوعی : مدیریت بازرگانیمقصود امیری 1 , فرهاد هادی نژاد 2
1 - استادگروه مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران،
2 - دانشجوی دکترای مدیریت تحقیق در عملیات، گروه مدیریت صنعتی، دانشگاه علامه طباطبائی، تهران، ایران
کلید واژه: بهره وری, تصمیم گیری چند معیاره, تکنیک پرامیتی, صنایع تولیدی,
چکیده مقاله :
بهره وری از عوامل مهم و کلیدی در سنجش میزان به کارگیری مطلوب داده ها در تولیدات صنعتی می باشد، که با ارزیابی و مقایسه آن در سطح سازمان ها و صنایع مختلف، می توان برنامه ریزی مناسبی با هدف اصلاح و بهبود سازمان یا صنعت مربوط و در نهایت پیشرفت کشور ارائه نمود. برای این منظور در این تحقیق تلاش گردیده شاخص های بهره وری صنایع تولیدی را با استفاده از تکنیک پرامیتی در یک دوره زمانی پنج ساله مورد تحلیل قرار گیرد؛ در این راستا شش شاخص بهره وری نیروی کار، بهره وری سرمایه، بهره وری انرژی، بهره وری کل عوامل، درصد حاشیه سود خالص و فروش سرانه را در پنج صنعت: خودرو سازی، فولاد، معادن، پتروشیمی و فلزات اساسی از سال 1387 تا 1391مورد بررسی قرار دادیم که نتایج آن نشان دهنده وضعیت مطلوب تر شاخص های بهره وری در صنعت فولاد در مجموع سال های مورد بررسی می باشد، ضمن آنکه در سال 1391 بیشترین میزان بهره وری در مجموع صنایع تولیدی حاصل گردیده و این مقدار در سال 1389 کمترین مقدار خود را داشته است.
Productivity is one of the main factors in assessing the optimal use of data in industrial production. By evaluation and comparison of productivity in different organizations and industries, a proper planning can be presented to improve the industry and development of the country. For this purpose, we tried to analyze the indicators of productivity in manufacturing industries by using PROMETHEE technique in a five-year period. In this regard, we assessed six factors: Labor Productivity, Capital Productivity, Energy Productivity, Total Factor Productivity, per capita Sales, Net profit margin in five industries: automotive, steel, mining, petrochemicals, and basic metals. The results indicate a more favorable situation in the steel industry. Also, in 2012 the highest level of productivity in all manufacturing industries was achieved and its lowest value was observed in 2010.
- Abdos, M., & Mozayani, N. (2005). Fuzzy Decision Making Based on Relationship Analysis between Criteria. North American Fuzzy Information Processing Society Annual Conf.
- Asgari, H. A. (2012). The Analysis of Productivity in Ilam Industeries, Iranian Journal of Trade Studies, 62, 101-123, (In Persian).
- Azarbayjani, K. (1989). Measuring and Analyzing of Country,s Industries Productivity. Planning and Budget Organization, (In Persian).
- Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). Promethee: A Comprehensive Literature Review on Methodologies and Applications. European Journal of Operational Research, 200(1), 198-215.
- Brans, J. P., & Mareschal, B. (1994). The Promcalc-Gaia Decision Support System for Multicriteria Decision Aid. Decision Support Systems, 12, 297-310.
- Brans, J. P., Mareschal, B., & Vincke, P. H. (1986). How to Select and How to Rank Projects: The Promethee Method. European Journal of Operational Research, 24, 228-238.
- Chou, T., Lin, W., Lin, C., Chou, W., & Haung, P. (2004). Application of the Promeethee Technique to Determine Depression Outlet Location and Flow Direction in DEM. Journal of Hydrology, 287, 49-61 .
- De Leeneer, I., & Pastijn, H. (2002). Selecting Land Mine Detection Strategies by Mmeans of Outranking MCDM Techniques. European journal of Operational Research, 139, 327-338 .
- Denison E. E. (1989). Estimates of Productivity Change by Industry. Brookings Institution, Washington DC.
- Fedderke, J., Kularatne, C., & Mariotti, M. (2004). Mark-up Pricing in South African Industry. Royal Economic Society Annual Conference, 95.
- Ghamtiri, M. A., & Ghaderi, J. (1996). Measuring and Analyzing of Affecting Factors on the Productivity in Industeries of Iran. Second National Productivity Congress of Iran, (In Persian).
- Hashemian Esfahani, M. (1998). Determine the Priorities of Industerial Investment, Institute for Business Studies and Research, (In Persian).
- Idson Todd, L., & Walter, Y. O. (1999). Workers Are more Productivity Theory. London: McGraw- HillBook Company.
- Kendrick, J. W., & Vaccava, B. N. (1980). New Developments in Productivity and Analysis. The University of Chicago.
- Khazayi, A. (1987). Employment in Public and Private Sectors Industries of Wage and Labour Productivity. Management and Planning Organization, (In Persian).
- Krueger Anne, O., & Tancer, B. (1982). Growth of Factor Productivity in Turkish Manufanturing Industries. Journa1 of Development Economics, 11(3), 307-325.
- Lotfalipour, M. R., & Derakhshani, M. (2009). Measuring and Analyzing of Productivity in Productive Inputs of Small and Medium-Sized Industeries in the Industries of Toos Industerial Towns, Knowledge and Development, 29, (In Persian).
- Masumzad, S. M., & Torabzadeh, A. (2004). Ranking of Industerial Productions in the Country by Analysis of Hierarchical Process (AHP) Method. Iranian Journal of Trade Studies, 13-17, (In Persian).
- Molayi, M. (2004). The Reviewing and Comparing the Productivity of Various Small and Large Industrial Groups in Iran, Iranian Journal of Economic Research, 22, 157-176, (In Persian).
- Pilat, D. (1995). Comparative Productivity of Korea Manufacturing: 1967-1987. Journal of Developmint Economics, 46.
- Pohekar, S. D., & Ramachandran, M. (2004). Application of Multi-Criteria Decision Making to Sustainable Energy Planning-A Review. Renewable and Sustainable Energy, 8, 365-381.
- Rahmani, A. (2001). The Examination of Changing in Technology, Economic Scale and Productivity in Iran,s Great Industries, Social Development & Welfare Planing, 1, (In Persian).
- Raju, K. S. & Pillai, C. R. S. (1999). Multicriterion Decision Making in river basin planning and development. European Journal of Operation Research, 199, 249-257.
- Sadegi, A. (2001). The Examination on the Economy of Rural Industeries in Mazandaran Province. Iranian Journal of Economic Research, (In Persian).
- Seshaiah, S., Venkata, V., & Reddy, K. (1993). Productivity Trends in Some Industries of Anthrapradesh Manufacturing Sector. The Indian Economic Journal, 41(2).
- Shestalova, V. (2003). Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities. Journal of Productivity Analysis, 19(2), 211-226.
- Tavakkoli, A., Azarbayjani, K., & Pourali, Sh. (1994). Measuring and Analyzing the Productivity of Production Factors in the Industries of Iran. Planning and Budget Organization, (In Persian).
- Zak, J. (2002). The Comparison of Multi Objective Ranking Methods Applied to Solve The Mass Transit Systems Decision Problems. Advanced OR and AI Methods in Transportation, Poznan University of Technology.
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- Abdos, M., & Mozayani, N. (2005). Fuzzy Decision Making Based on Relationship Analysis between Criteria. North American Fuzzy Information Processing Society Annual Conf.
- Asgari, H. A. (2012). The Analysis of Productivity in Ilam Industeries, Iranian Journal of Trade Studies, 62, 101-123, (In Persian).
- Azarbayjani, K. (1989). Measuring and Analyzing of Country,s Industries Productivity. Planning and Budget Organization, (In Persian).
- Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). Promethee: A Comprehensive Literature Review on Methodologies and Applications. European Journal of Operational Research, 200(1), 198-215.
- Brans, J. P., & Mareschal, B. (1994). The Promcalc-Gaia Decision Support System for Multicriteria Decision Aid. Decision Support Systems, 12, 297-310.
- Brans, J. P., Mareschal, B., & Vincke, P. H. (1986). How to Select and How to Rank Projects: The Promethee Method. European Journal of Operational Research, 24, 228-238.
- Chou, T., Lin, W., Lin, C., Chou, W., & Haung, P. (2004). Application of the Promeeth
