ارائه یک روش ترکیبی از ANP خاکستری و شش سیگما و TRIZ جهت اولویت بندی پروژه های شهرداری تهران
محورهای موضوعی :
مدیریت صنعتی
alireza alinezhad
1
,
Javad Khalili
2
1 - Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.
2 - Msc. Student, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran
تاریخ دریافت : 1396/07/09
تاریخ پذیرش : 1396/12/18
تاریخ انتشار : 1396/12/10
کلید واژه:
ANP,
شش سیگما,
TRIZ,
تئوری سیستم های خاکستری,
چکیده مقاله :
امروزه با توجه به مشکلات روز افزون مسائل کیفی که در سازمان ها بوجود آمده است، در این پژوهش برخی از این مسائل و مشکلات در شهرداری تهران در بوته آزمایش قرار داده می شود. ابتدا تعداد زیادی پروژه که نیاز به بهبود دارند، تعریف می شوند. با یکی از روش های تصمیم گیری چندگانه MCDM بنام ANP اولویت بندی می شوند، سپس مهمترین پروژه انتخاب می شود. برای انجام این پروژه مشکلاتی بوجود می آید که بخشی از اطلاعات آنها شناخته شده و برخی ناشناخته است. برای شناسایی و انتخاب مشکلات از سیستم های خاکستری استفاده می شود و مهمترین مشکل با استفاده از درجه امکان خاکستری که از روش های نوین تصمیم گیری و ارزیابی ریاضیاتی داده های مبهم و غیر قطعی است، پیدا می شود. مشکل شناسایی شده، با استفاده از متدلوژی شش سیگما و چرخه DMAIC تجزیه و تحلیل وآنالیز می شود. با استفاده از نمودار پارتو و نرم افزار Minitab علل اصلی موضوع مشخص شده و سپس حل می شود. در انتها با استفاده از تکنیک های خلاقانه و ابداعی حل مسائل TRIZ را بهبود داده می شود.
چکیده انگلیسی:
Nowadays based on increasing problems of quality issues in organizations and problems and difficulties which occur in organizations decided to describe and evaluate some of the problems and difficulties of the Tehran municipality in this paper. At first, will define large amounts of such projects which need improvement and priorities those with one of the methods of MCDM named ANP. It chose the most important project. To implement this project will face some known and some unknown problems. To identified and selected the problems used grey systems and found the most important problem by using grey degree possible which is one the newest decision making and mathematical evaluation techniques of indefinite and undefined data. Six Sigma is one of the most powerful tools and techniques for solving problems. The identified problem will be evaluated and analyzed by DMAIC cycle and six sigma methodology. By using PARETO chart and Minitab software main reasons of the subject are specified and solved then. improve it by using creative and inventive techniques of TRIZ problem-solving at last.
منابع و مأخذ:
Aghadadi, A. & Karbassian, M. (2006). Six Sigma and Quality Costs. Isfahan, arkan danesh press. (in persian)
Amiran, H. (2002). Understanding the principles, concepts and methods of implementation of Six Sigma. Tehran, Quality assurance consultant company press. (in persian)
Averboukh, E. (2003). I-TRIZ for Six Sigma Business Process Management. The Online TRIZ journal, From http://www.triz-journal.com/archives/2003/12/i/09.pdf.
Buyukozkan, G. & Ozturkcan, D. (2010). An integrated analytic approach for Six Sigma project selection. Expert Systems with Applications, 37(8): 5835-5847.
Dabbaghi A. & Malek A. M. (2010). Evaluation and selection of facility layout using the theory of gray systems and its application in a refrigeration plant manufacturing plant, Eighth International Management Conference. (in persian)
Deng, J. L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5): 288-294.
Gadd, K. & Creativity, O. (2002). Altshuller Father of Innovation-the Contradiction of TRIZ. The TRIZ journal, From https://triz-journal.com/altshuller-father-innovation-contradiction-triz.
Karimi, M. (2010). 40 principles, master keys TRIZ for innovation. Tehran, Rasa press. (in persian)
Kermani, A. H.(2003). Empowering Six Sigma methodology via the Theory of Inventive Problem Solving (TRIZ). TRIZ Journal, 12: 76–82.
Kwak, Y.H. & Anbari, F.T. (2006). Benefits, obstacles, and future of six sigma approach. Technovation, 26(5): 708-715.
Malek A. M. & Dabbaghi A. (2013). Foundations of theory of gray systems and overview of uncertainty methods. termeh press. (in persian)
Mohammadi Lord, A. (2009). Network Analysis (ANP) and Hierarchical Process (AHP) with the introduction of super decision software. Tehran, Alborz Fardash press. (in persian)
Saaty, T.L. (1999). Fundamentals of the analytic network process. The International Symposium on the Analytic Hierarchy Process, Kobe, Japan.
Schroeder, R. G., Linderman, K., Liedtke, C. & Choo, A. S. (2008). Six Sigma: Definition and underlying theory. Journal of operations Management, 26(4): 536-554.
Su, C. T., Chiang, T. L. and Chiao, K. (2005). Optimizing the IC delamination quality via six-sigma approach. IEEE Transactions on Electronics Packaging Manufacturing, 28(3): 241-248.
Xie, J. & Li, F. (2009). Study on innovative method based on integrated of TRIZ and DMAIC. In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, 1: 351-354.
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Aghadadi, A. & Karbassian, M. (2006). Six Sigma and Quality Costs. Isfahan, arkan danesh press. (in persian)
Amiran, H. (2002). Understanding the principles, concepts and methods of implementation of Six Sigma. Tehran, Quality assurance consultant company press. (in persian)
Averboukh, E. (2003). I-TRIZ for Six Sigma Business Process Management. The Online TRIZ journal, From http://www.triz-journal.com/archives/2003/12/i/09.pdf.
Buyukozkan, G. & Ozturkcan, D. (2010). An integrated analytic approach for Six Sigma project selection. Expert Systems with Applications, 37(8): 5835-5847.
Dabbaghi A. & Malek A. M. (2010). Evaluation and selection of facility layout using the theory of gray systems and its application in a refrigeration plant manufacturing plant, Eighth International Management Conference. (in persian)
Deng, J. L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5): 288-294.
Gadd, K. & Creativity, O. (2002). Altshuller Father of Innovation-the Contradiction of TRIZ. The TRIZ journal, From https://triz-journal.com/altshuller-father-innovation-contradiction-triz.
Karimi, M. (2010). 40 principles, master keys TRIZ for innovation. Tehran, Rasa press. (in persian)
Kermani, A. H.(2003). Empowering Six Sigma methodology via the Theory of Inventive Problem Solving (TRIZ). TRIZ Journal, 12: 76–82.
Kwak, Y.H. & Anbari, F.T. (2006). Benefits, obstacles, and future of six sigma approach. Technovation, 26(5): 708-715.
Malek A. M. & Dabbaghi A. (2013). Foundations of theory of gray systems and overview of uncertainty methods. termeh press. (in persian)
Mohammadi Lord, A. (2009). Network Analysis (ANP) and Hierarchical Process (AHP) with the introduction of super decision software. Tehran, Alborz Fardash press. (in persian)
Saaty, T.L. (1999). Fundamentals of the analytic network process. The International Symposium on the Analytic Hierarchy Process, Kobe, Japan.
Schroeder, R. G., Linderman, K., Liedtke, C. & Choo, A. S. (2008). Six Sigma: Definition and underlying theory. Journal of operations Management, 26(4): 536-554.
Su, C. T., Chiang, T. L. and Chiao, K. (2005). Optimizing the IC delamination quality via six-sigma approach. IEEE Transactions on Electronics Packaging Manufacturing, 28(3): 241-248.
Xie, J. & Li, F. (2009). Study on innovative method based on integrated of TRIZ and DMAIC. In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, 1: 351-354.
