ارائه یک روش تصمیم‌گیری چند شاخصه مبتنی بر محاسبه مساحت چند-ضلعی‌ها برای رتبه‌بندی مدلهای مختلف استقرار
محورهای موضوعی : مدیریت بازرگانیمرتضی هنرمند عظیمی 1 , هوشنگ تقی زاده 2
1 - عضو هیأت علمی گروه مدیریت، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
2 - دانشیار گروه مدیریت، واحد تبریز، دانشگاه آزاد اسلامی، تبریز،ایران
کلید واژه: استقرار تسهیلات, تصمیم‌گیری چند شاخصه, تصمیم‌گیری با روش مساحت چندضلعی‌ها,
چکیده مقاله :
مساله طراحی استقرار تسهیلات، نظیر استقرار ماشین آلات، بخش ها، ایستگاه های کاری و... در کنار هم، به نحوی است که تولیدکنندگان با در نظر گرفتن مجموعه اهداف، قیود و سایر شرایط بتوانند محصولات و خدمات را در حداکثر بهره وری و سودآوری عرضه کنند. مساله طراحی استقرار و چیدمان تسهیلات معمولاً یک مسأله چند شاخصه است که علاوه بر شاخص های کمی، شاخص های کیفی نیز بر آن تأثیرگذار هستند. در این مقاله یک رویکرد تصمیم گیری چند شاخصه مبتنی بر محاسبه مساحت چند ضلعی ها بر روی نمودار رادار، جهت رتبه بندی الگو های طراحی استقرار در حضور هر دو گروه شاخص، پیشنهاد می شود. به منظور نشان دادن جنبهء کاربردی این روش و اطمینان از نتایج به دست آمده، همبستگی رتبه ایی اسپیرمن بین رتبه های حاصل از روش با سایر روشهای پرکاربرد و مطرح تصمیم گیری چند شاخصه در یک مثال محاسبه شده است. نتایج به دست آمده از بررسی، نشان می دهد که: بین رتبه های حاصل از روش مساحت چندضلعی ها، جهت انتخاب چیدمان مناسب، با سایر روشهای پرکاربرد تصمیم گیری چند شاخصه همبستگی بالایی وجود دارد و می توان این روش تصمیم گیری چند شاخصه را برای انتخاب استقرار مناسب و سایر مسائل محیط های صنعتی پیشنهاد کرد.
Designing the layout of facilities such as machinery, sections, work stations, etc. together should be done in such a way that the suppliers can present their products and services at maximum productivity and profitability by taking into consideration a set of objectives, restraints, and other conditions. Layout design and arrangement of facilities is typically a multi-attribute problem in which the quantitative as well as the qualitative criteria are important. In this article, a multi- attribute decision- making technique is proposed based on polygons area on the Radar diagram for ranking different layout design patterns using two groups of criteria. To indicate the efficiency of the proposed method and certainty of the obtained results, Spearman’s rank order correlation between the ranks obtained using this method and other frequently used and important multi-attribute decision- making methods was computed. The obtained results show that there is a high correlation between the rankings obtained from the polygons area method for selecting suitable layout with other frequently used multi-attribute decision-making methods. Thus, the proposed method can be recommended for selecting appropriate layout and other issues concerning industrial media.
- Azar, A And Rajab zadeh, A. (2002), “Applied decision making”, Tehran, Knowledge look Publication.
- Puya, A; Alavi, J and Tabari, A. (2012), “Selection of layout design using a hybrid approach PSI-PROMETHEE،, Third Conference on Production Management and Operations, University of Tehran Faculty of Management, 12- 132.
- Keynes, T. J; White, J. E; Borz, B. E; Freezel, Etanchoko, G.M.E and Troviniyo, J. (2006), “Planning of Industrial Units, Zanjiri Farahani, Reza”, Terme Publication, V 3.
- Heseyni Nasab, H, Shah mohamadi, A and Ghasemi, G. (2011), “Providing a hybrid intelligent algorithm to solve the dynamic layout of the facility with fuzzy flow information”, International Journal of Industrial Engineering and Production Management, N 22, 304- 317.
- Hoseyni, M and Safakish, M. (2007), “Comprehensive and Advanced Foundations of Production Management and Operations in Production and Service Organizations”, Industrial Management Organization Publication, Tehran, N 3.
- Touloe, A and Mojriyan, M. (2010), “Presentation of Optimal Machine Layout Method Using Mathematical Modeling”, Management Researches, Research Branch, N 77, 81- 94.
- Motaghi, H. (2007), “Production and Operations Management”, Patrice voice, Tehran, N 4.
- Momeni, M. (2010), “New Operational Research Topics, Moalef Publication. N 5.
- Momeni, M. (2011), “Multi-index decision-making models and software”, Moalefin Publication, N1.
- Momeni, M. (2012), “Statistical analysis was performed using SPSS”, Ganj Shayeghan Publication, N 7.
- Navidi, H and Bidgholi, M. (2010), “Modeling the problem of arranging facilities in interactive conditions using game theory”, Industrial Management Quarterly, Islamic Azad University, Sanandaj Branch, N 13, 2- 13.
- Vinche, A and Ghesemi, A. (2009), “A Nonlinear Weight Optimization Model for Ranking Different Layout Models in the Facility Design Scheme”, Applied Mathematics Journal of Lahijan Unit, N 6, V 23, 51-60.
- Azimi Honarmand, M and Pur mohamad, J. (2012), “New Method in Multi-Criterion Decision Making”, Fifth International Operational Research Conference, Tabriz, Iran, 65- 67.
- - Aiello, G, Enea, M & Galante, G(2006), A multi-objective approach to facility layout problem by genetic search algorithm and Electre method, Robotics and Computer-Integrated Manufacturing, 22, 5-6, 447-455.
- Azimi, M., Taghizadeh, H., Farahmand, N. & Pourmahmoud, J. (2014), Selection of industrial robots using the Polygons area method.International Journal of Industrial Engineering Computations, 5, 4, 631-646.
- Cambron, Kenneth E, Evans & Gerald W (1991), Layout design using the analytic hierarchy process, Computers and Industrial Engineering, 20, 2, 211-229.
- Ertay, Tijen, Ruan, Da, Tuzkaya& Umut Rifat (2006), Integrated data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems, Information science, 176, 3, 237-262.
- Karray, F., Zaneldin, E., Hegazy, T., Shabeeb, AHM & Elbeltagi, E. (2000), Tools of soft computing as applied to the problem of facilities layout planning, IEEE Trans Fuzzy System 8, 367–379.
- Kuo, Yiyo, Yang, Taho, Huang & Guan-wei (2008), The use of grey relational analysis in solving multiple attribute decision-making problems, Computer & Industrial Engineering, 55,1,80-93.
- Maniya, K.D & Bhatt, M.G(2011), An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems, Computer & Industrial Engineering, 61, 3, 542-549.
- Opricovic, S., & Tzeng, G.H. (2007), Extended VIKOR Method in Comparison with Outranking Methods. European Journal of Operational Research, 178, 514-529.
- Partovi, Fariborz Y & Burton, Jonathan (1992), An analytical hierarchy approach to facility layout, Computers & Industrial Engineering, 22, 4, 447-457.
- Rao, R.V. (2007), Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods, London: Springer-Verlag.
- Rao, R.V. & Singh, D.(2010), An improved gray relational analysis as a decision making method for manufacturing situations, International Journal of Decision Science,Risk Management,2,1-23
- Rao R.V. (2013), Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods, 2, London: Springer-Verlag.
- Raoot AD., Rakshit A. (1991), A fuzzy approach to facilities layout planning, International Journal of Production Research, 29, 835–857.
- Taghizadeh, H.; Fegh-hi Farahmand, N.; Pourmahmoud, J. & Honarmande Azimi, M.(2014), Selection of Environmentally Conscious Manufacturing Programs using the MADM Methods, Journal of Applied Environmental and Biological Sciences, 4, 8, 135-145.
- Yang, T & Kuo, C (2003), A hierarchical AHP/DEA methodology for the facilities layout design problem, European Journal of Operation Research, 147, 128–136.
- Yang, Taho & Hung, Chih-Ching(2007), Multiple-attribute decision making methods for plant layout design problem, Robotic and Computer-Integrated Manufacturing, 23, 1, 126-137.
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- Azar, A And Rajab zadeh, A. (2002), “Applied decision making”, Tehran, Knowledge look Publication.
- Puya, A; Alavi, J and Tabari, A. (2012), “Selection of layout design using a hybrid approach PSI-PROMETHEE،, Third Conference on Production Management and Operations, University of Tehran Faculty of Management, 12- 132.
- Keynes, T. J; White, J. E; Borz, B. E; Freezel, Etanchoko, G.M.E and Troviniyo, J. (2006), “Planning of Industrial Units, Zanjiri Farahani, Reza”, Terme Publication, V 3.
- Heseyni Nasab, H, Shah mohamadi, A and Ghasemi, G. (2011), “Providing a hybrid intelligent algorithm to solve the dynamic layout of the facility with fuzzy flow information”, International Journal of Industrial Engineering and Production Management, N 22, 304- 317.
- Hoseyni, M and Safakish, M. (2007), “Comprehensive and Advanced Foundations of Production Management and Operations in Production and Service Organizations”, Industrial Management Organization Publication, Tehran, N 3.
- Touloe, A and Mojriyan, M. (2010), “Presentation of Optimal Machine Layout Method Using Mathematical Modeling”, Management Researches, Research Branch, N 77, 81- 94.
- Motaghi, H. (2007), “Production and Operations Management”, Patrice voice, Tehran, N 4.
- Momeni, M. (2010), “New Operational Research Topics, Moalef Publication. N 5.
- Momeni, M. (2011), “Multi-index decision-making models and software”, Moalefin Publication, N1.
- Momeni, M. (2012), “Statistical analysis was performed using SPSS”, Ganj Shayeghan Publication, N 7.
- Navidi, H and Bidgholi, M. (2010), “Modeling the problem of arranging facilities in interactive conditions using game theory”, Industrial Management Quarterly, Islamic Azad University, Sanandaj Branch, N 13, 2- 13.
- Vinche, A and Ghesemi, A. (2009), “A Nonlinear Weight Optimization Model for Ranking Different Layout Models in the Facility Design Scheme”, Applied Mathematics Journal of Lahijan Unit, N 6, V 23, 51-60.
- Azimi Honarmand, M and Pur mohamad, J. (2012), “New Method in Multi-Criterion Decision Making”, Fifth International Operational Research Conference, Tabriz, Iran, 65- 67.
- - Aiello, G, Enea, M & Galante, G(2006), A multi-objective approach to facility layout problem by genetic search algorithm and Electre method, Robotics and Computer-Integrated Manufacturing, 22, 5-6, 447-455.
- Azimi, M., Taghizadeh, H., Farahmand, N. & Pourmahmoud, J. (2014), Selection of industrial robots using the Polygons area method.International Journal of Industrial Engineering Computations, 5, 4, 631-646.
- Cambron, Kenneth E, Evans & Gerald W (1991), Layout design using the analytic hierarchy process, Computers and Industrial Engineering, 20, 2, 211-229.
- Ertay, Tijen, Ruan, Da, Tuzkaya& Umut Rifat (2006), Integrated data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems, Information science, 176, 3, 237-262.
- Karray, F., Zaneldin, E., Hegazy, T., Shabeeb, AHM & Elbeltagi, E. (2000), Tools of soft computing as applied to the problem of facilities layout planning, IEEE Trans Fuzzy System 8, 367–379.
- Kuo, Yiyo, Yang, Taho, Huang & Guan-wei (2008), The use of grey relational analysis in solving multiple attribute decision-making problems, Computer & Industrial Engineering, 55,1,80-93.
- Maniya, K.D & Bhatt, M.G(2011), An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems, Computer & Industrial Engineering, 61, 3, 542-549.
- Opricovic, S., & Tzeng, G.H. (2007), Extended VIKOR Method in Comparison with Outranking Methods. European Journal of Operational Research, 178, 514-529.
- Partovi, Fariborz Y & Burton, Jonathan (1992), An analytical hierarchy approach to facility layout, Computers & Industrial Engineering, 22, 4, 447-457.
- Rao, R.V. (2007), Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods, London: Springer-Verlag.
- Rao, R.V. & Singh, D.(2010), An improved gray relational analysis as a decision making method for manufacturing situations, International Journal of Decision Science,Risk Management,2,1-23
- Rao R.V. (2013), Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods, 2, London: Springer-Verlag.
- Raoot AD., Rakshit A. (1991), A fuzzy approach to facilities layout planning, International Journal of Production Research, 29, 835–857.
- Taghizadeh, H.; Fegh-hi Farahmand, N.; Pourmahmoud, J. & Honarmande Azimi, M.(2014), Selection of Environmentally Conscious Manufacturing Programs using the MADM Methods, Journal of Applied Environmental and Biological Sciences, 4, 8, 135-145.
- Yang, T & Kuo, C (2003), A hierarchical AHP/DEA methodology for the facilities layout design problem, European Journal of Operation Research, 147, 128–136.
- Yang, Taho & Hung, Chih-Ching(2007), Multiple-attribute decision making methods for plant layout design problem, Robotic and Computer-Integrated Manufacturing, 23, 1, 126-137.