انتخاب طرح جانمایی با استفاده از رویکرد فازی و روش PROMETHEE II
الموضوعات :Jaber Kalaki Juybari 1 , Jafar Kalaki Juybari 2 , Reza Hasanzadeh 3
1 - Department of Industrial Engineering Rouzbahan Institute of Higher Education, Sari, Iran
2 - Department of Public Administration, Islamic Azad University, Ghaeemshahr Branch, Ghaeemshahr, Iran
3 - Department of Industrial Engineering Rouzbahan Institute of Higher Education, Sari, Iran
الکلمات المفتاحية: جانمایی, Plannet, Micro Craft, PROMETHEE II, Aldep,
ملخص المقالة :
جانمایی بخش‌ها مسئله‌ای است که به نحوه‌ی چیدمان دپارتمان‌ها در منطقه کاری، با درنظر گرفتن مساحت مورد نیاز و میزان ارتباط بخش‌ها بایکدیگر، می‌پردازد. مسئله جانمایی بخش‌ها به عنوان یک اصل کلیدی برای بهبود بهره‌وری کارخانه در نظر گرفته‌می‌شود، می‌دانیم طرح‌های نامناسب چیدمان بخش‌ها، همراه با معضلات متعدد و هزینه‌های عملیاتی سیستم‌های جابجایی مواد می‌باشد. روش‌های گوناگونی برای جانمایی بخش‌های کارخانه وجود دارند که نمی‌توان گفت کدام یک از آن‌ها نسبت به دیگری برتری مطلق دارد، بنابر این بایستی با اتخاذ رویکردی مناسب بهترین چیدمان ممکن را از میان طرح‌های مختلف بدست آورد. در این پژوهش پس از ارائه چیدمان‌های مختلف با روش مارپیچی و روش‌های سیستماتیک جانمایی با کمک نرم‌افزارهایAldep, Micro Craft, Plannet و بررسی معیار‌های موثر بر طرح‌های چیدمان با رویکرد فازی برای داده‌های کیفی، و تعیین وزن معیار‌ها، رتبه بندی نهایی با استفاده از روشPROMETHEE II و نرم‌افزار lab Decision دریک نمونه مطالعه موردی انجام شده‌است. پس از بررسی طرح‌های چیدمان، طرح ایجاد شده با کمک نرم‌افزار Plannetکه از لحاظ هزینه جابجایی مواد در رتبه دوم قرار داشت؛ در مجموع با در نظر گرفتن معیار‌های کیفی ماتریس تصمیم رتبه نخست را در رتبه‌بندی نهایی به خود اختصاص داد.
1- Albadavi, A., Chaharsooghi, S.K. & Esfahanipour, A. (2007). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177, 673–683.
2- Arunyanart, S. & Pruekthaisong, S. (2018). Selection of multi-criteria plant layout design by combining AHP and DEA methodologies, The 4th International Conference on Engineering, Applied Sciences and Technology, 192, 5.
3- Ayag˘, Z. & Özdemir, R.G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169–2194.
4- Bogdanovic, D., Nikolic, D. & Ilic, I. (2012). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências, 84(1), 219-233.
5- Cambron, K.E. & Evans, G.W. (1991). Layout design using the analytic hierarchy process. Computers and Industrial Engineering, 202, 211-229.
6- Dubel, A. & Stryhunivska, O. (2019). Application of selection techniques of optimal planning and evaluation of a system layout in virtual environment, Central and Eastern European Journalof Management and Economics, 7, 2, 47-62.
7- Entezari, A. (2004). Planning industrial units) Plant Layout (, Jahan jame jam publishing, Tehran, First edition, (In Persian).
8- Ertay, T., Ruan, Da, & Tuzkaya, U. R. (2006). Integrated data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems, Information science, 176, 3, 237-262.
9- Gonzalez-Cruz, M. C. & Martinez, E.G. (2011). An entropy-based algorithm to solve the facility layout design problem, Robotics and Computer-Integrated Manufacturing, 27, 1, 88-100.
10- Güngör, Z., Serhadlıog ˘lu, G. & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing, 9, 641–646.
11- Jung, H. (2011). A fuzzy AHP–GP approach for integrated production-planning considering manufacturing partners. Expert Systems with Applications.38. 5833-5840.
12- Karray, F., Zaneldin, E., Hegazy, T., Shabeeb, A.H.M. & Elbeltagi, E. (2000). Tools of softcomputing as applied to the problem of facilities layout planning. IEEE Transactions on Fuzzy Systems, 8(4), 367-379.
13- Macharis, C., Springael, J., Brucker, K.D. & Verbeke, A. (2007). PROMETHEE and AHP: The design of operational synergies in multicriteria analysis, Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153, 307–317.
14- Miri, A. & Razavi, H. (2018). Optimization of Discrete Facility Layout with a Candidate Grouping Approach, Production and Operations Management, Vol 9, 55-78. (In Persian).
15- Momeni, M. (2006). New issues in operations research, Publishing Faculty of Manageme- nt University of Tehran, First edition. (In Persian).
16- Pan, N.F. (2008). Fuzzy AHP approach for selecting the suitable bridge construction method. Automation in Construction, 17, 958–965.
17- Rezaeenour, J., Torabi, M. & Babaie, N. (2016). Development of Compound Model for Warehouse Location Using Fuzzy Weighted Average based on the Left and Right Scores and Fuzzy Case Series, Journal of Industrial Management, Sanandaj Branch, Volume 11, Issue 35, Page 45-56, (In Persian).
18- Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York: McGraw-Hill.
19- Safari, H., Fagheyi, M.S., Ahangari, S.S. & Fathi, M.R. (2012). Applying PROMETHEE Method based on Entropy Weight for Supplier Selection. Business management and strategy, 3(1), 97-106.
20- Soleymani, M. & Khosroabadi, A. (2014). Optimal layout of manufacturing sections In an industrial unit using manual deployment, Conference on value engineering and cost Management, Tehran, Pars Designers Research Institute, (In Persian).
21- Tavakoli, A., Poya, A. & Tabari, J. (2013). Compilation design Fuzzy Multi-criteria decision making to select the layout of the facility, Industrial Management Perspective, No. 10, pp. 57-84, (In Persian).
22- Toloei Ashlaghi, A. & Mojrian, M. (2011). Developing a facility layout optimization method using mathematical modeling (Case study: Pooya khodro shargh), journal of management research, volume 21, number 87; page81 to 94, (In Persian).
23- Torfi, F., zanjirani Farahani, R. & Rezapour, SH. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives. Applied Soft Computing, 102, 520-528.
24- Vahidnia, M., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90, 3048–3056.
25- Yang, T. & Hung, C. (2007). Multiple-attribute decision-making methods for plant layout design problem, Robotic and Computer-Integrated Manufacturing, 23, 1, 126-137.
26- Yang, T. & Kuo, Ch. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. Europen Journal of Operational research, 147.1, 128-13.
_||_1- Albadavi, A., Chaharsooghi, S.K. & Esfahanipour, A. (2007). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177, 673–683.
2- Arunyanart, S. & Pruekthaisong, S. (2018). Selection of multi-criteria plant layout design by combining AHP and DEA methodologies, The 4th International Conference on Engineering, Applied Sciences and Technology, 192, 5.
3- Ayag˘, Z. & Özdemir, R.G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169–2194.
4- Bogdanovic, D., Nikolic, D. & Ilic, I. (2012). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências, 84(1), 219-233.
5- Cambron, K.E. & Evans, G.W. (1991). Layout design using the analytic hierarchy process. Computers and Industrial Engineering, 202, 211-229.
6- Dubel, A. & Stryhunivska, O. (2019). Application of selection techniques of optimal planning and evaluation of a system layout in virtual environment, Central and Eastern European Journalof Management and Economics, 7, 2, 47-62.
7- Entezari, A. (2004). Planning industrial units) Plant Layout (, Jahan jame jam publishing, Tehran, First edition, (In Persian).
8- Ertay, T., Ruan, Da, & Tuzkaya, U. R. (2006). Integrated data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems, Information science, 176, 3, 237-262.
9- Gonzalez-Cruz, M. C. & Martinez, E.G. (2011). An entropy-based algorithm to solve the facility layout design problem, Robotics and Computer-Integrated Manufacturing, 27, 1, 88-100.
10- Güngör, Z., Serhadlıog ˘lu, G. & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing, 9, 641–646.
11- Jung, H. (2011). A fuzzy AHP–GP approach for integrated production-planning considering manufacturing partners. Expert Systems with Applications.38. 5833-5840.
12- Karray, F., Zaneldin, E., Hegazy, T., Shabeeb, A.H.M. & Elbeltagi, E. (2000). Tools of softcomputing as applied to the problem of facilities layout planning. IEEE Transactions on Fuzzy Systems, 8(4), 367-379.
13- Macharis, C., Springael, J., Brucker, K.D. & Verbeke, A. (2007). PROMETHEE and AHP: The design of operational synergies in multicriteria analysis, Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153, 307–317.
14- Miri, A. & Razavi, H. (2018). Optimization of Discrete Facility Layout with a Candidate Grouping Approach, Production and Operations Management, Vol 9, 55-78. (In Persian).
15- Momeni, M. (2006). New issues in operations research, Publishing Faculty of Manageme- nt University of Tehran, First edition. (In Persian).
16- Pan, N.F. (2008). Fuzzy AHP approach for selecting the suitable bridge construction method. Automation in Construction, 17, 958–965.
17- Rezaeenour, J., Torabi, M. & Babaie, N. (2016). Development of Compound Model for Warehouse Location Using Fuzzy Weighted Average based on the Left and Right Scores and Fuzzy Case Series, Journal of Industrial Management, Sanandaj Branch, Volume 11, Issue 35, Page 45-56, (In Persian).
18- Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York: McGraw-Hill.
19- Safari, H., Fagheyi, M.S., Ahangari, S.S. & Fathi, M.R. (2012). Applying PROMETHEE Method based on Entropy Weight for Supplier Selection. Business management and strategy, 3(1), 97-106.
20- Soleymani, M. & Khosroabadi, A. (2014). Optimal layout of manufacturing sections In an industrial unit using manual deployment, Conference on value engineering and cost Management, Tehran, Pars Designers Research Institute, (In Persian).
21- Tavakoli, A., Poya, A. & Tabari, J. (2013). Compilation design Fuzzy Multi-criteria decision making to select the layout of the facility, Industrial Management Perspective, No. 10, pp. 57-84, (In Persian).
22- Toloei Ashlaghi, A. & Mojrian, M. (2011). Developing a facility layout optimization method using mathematical modeling (Case study: Pooya khodro shargh), journal of management research, volume 21, number 87; page81 to 94, (In Persian).
23- Torfi, F., zanjirani Farahani, R. & Rezapour, SH. (2010). Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives. Applied Soft Computing, 102, 520-528.
24- Vahidnia, M., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90, 3048–3056.
25- Yang, T. & Hung, C. (2007). Multiple-attribute decision-making methods for plant layout design problem, Robotic and Computer-Integrated Manufacturing, 23, 1, 126-137.
26- Yang, T. & Kuo, Ch. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. Europen Journal of Operational research, 147.1, 128-13.
