• صفحه اصلی
  • استفاده از نمودار علت و معلول جهت بررسی علل وَرشکستگی و اُفت صنایع داخلی به کمک رویکردهای QFD و FMEA

اشتراک گذاری

آدرس مقاله


کد مقاله : 537107 بازدید : 164 صفحه: 69 - 84

نوع مقاله: پژوهشی

استفاده از نمودار علت و معلول جهت بررسی علل وَرشکستگی و اُفت صنایع داخلی به کمک رویکردهای QFD و FMEA

محورهای موضوعی : مدیریت صنعتی

Mohammad Amin HesamiNezhad 1 , Mahnaz Zarei 2 , Mohammad Bagher Moayedi 3

1 - MSc. Student, Department of Industrial (Industrial engineering), Shiraz Branch, Islamic Azad University, Shiraz, Iran
2 - Assistant Prof., Department of Industrial (Industrial engineering), Shiraz Branch, Islamic Azad University, Shiraz, Iran
3 - MSc. Student, Department of Industrial (Industrial engineering), Shiraz Branch, Islamic Azad University, Shiraz, Iran

تاریخ دریافت : 1395/01/15 تاریخ پذیرش : 1395/04/28 تاریخ انتشار : 1395/06/04

کلید واژه: Quality Function Deployment (QFD), ابزار توسعۀ کیفیت, روش تجزیه و تحلیل اثرات و حالات خطا, نمودار علت و معلول (نمودار استخوان ماهی), وَرشکستگی و اُفت صنایع داخلی, Bankruptcy and slump domestic industries, cause and effect diagram (fishbone diagram), Failure Mode and Effect Analysis (FMEA),

چکیده مقاله :

با توجه به اینکه در سالیان اخیر صنایع داخلی با اُفت شدیدی مواجه گردیده اند و بعضی از آنها وَرشکسته شده و برخی نیز در آستانه وَرشکستگی می باشند، وجود تحقیقی که بتواند دلائل وَرشکستگی صنایع داخلی را به صورت ساده و کاربردی به تصویر کشیده و قابل انعکاس به مسؤلینِ محترمِ دولت، نمایندگان مجلس، قوۀ قضائیه و سایر ارگانهای دولتی و خصوصی باشد، کمتر به چشم خورده است. از این رو نویسندگان مقاله کوشیده اند تا در مرحلۀ اول بخش عمده ای از دلائل وَرشکستگی و اُفت صنایع داخلی را از نوشته ها و سخنانِ مسؤلینِ کشوری و کارشناسان و متخصصین، استخراج نمایند. در گام دوم نیز این دلائل به رؤیت کارشناسان خبره و مشاورین وزارت صنایع و معادن رسانده شده است. سپس با استفاده از ابزار توسعه کیفیت (QFD) و روش تجزیه و تحلیل اثرات و حالات خطا (FMEA)، بیش از 90 مشکل و مسألۀ استخراج شده دسته بندی و اولویت بندی، و نتایج حاصل به عنوان ورودی برای ترسیم نمودار علت و معلول (نمودار استخوان ماهی) به کار گرفته شده است. در این مقاله جهت رسم نمودارِ علت و معلول، دلائل وَرشکستگی و اُفت صنایع داخلی به هشت قسمت دسته بندی شده اند: 1. دولت، 2. صنایع داخلی، 3. قاچاق کالا، 4. بانک، 5. قوه قضائیه، 6. مجلس، 7. محیط و8. مردم. این نمودار از یک طرف می تواند به سادگی نشان دهندۀ مشکلات صنایع داخلی به ترتیب اهمیت باشد و از طرف دیگر ارگان ها و سازمان های مرتبط را برای حل مسائل مشخص نماید. تحقیق حاضر از لحاظ هدف، پژوهشی عملی است، و از لحاظ ماهیت و روش، تحقیقی توصیفی-کاربردی می باشد که در آن جهت جمع آوری اطلاعات از روش کتابخانه ای استفاده شده است و از قضاوت افراد خبره نیز جهت اعتبار روایی و پایایی آن بهره گرفته شده است.

چکیده انگلیسی:

In paying attention to the recent years, domestic industries encounter severe slump and some of them has become insolvent, some are also at the beginning of bankruptcy. The existence of a research that would be able to applicability and simply show the causes of domestic industries bankruptcy, and make it flexible to the government`s honorable attendants, congress representatives, judicature, and other governmental and private organizations, has been less seen. Therefore, the writers of this article have tried at the first step to extract the main causes of bankruptcy and slump domestic industries from the writing and speeches of country`s attendants and experts and specialists. At the second step, the causes are presented to specialists and advisers of Ministry of Industry and Mining. Then by using Quality Function Deployment (QFD) and Failure Mode and Effect Analysis (FMEA) more than 90 problems are extracted, classified and prioritized, and then the obtained results are used as input to draw cause and effect diagram (fishbone diagram). In this article to draw cause and effect diagram, the bankruptcy causes and slump domestic industries are categorized into 8 parts: 1. government, 2. domestic industries, 3. goods smuggling, 4. bank, 5. judicature, 6. Congress, 7. environment, and 8. people. On the one hand, this diagram can simply show the domestic industries problems based on their importance and on the other hand specify the related organizations to solve the problems. This current research from the viewpoint of purpose is an active research and from the aspect of approach and nature is a descriptive-applicable research in which the library approach is used to gather information, and also experts judgment are used for validity and reliability.

منابع و مأخذ:


  1. Almannai, B., Greenough, R. & Kay, J. (2008). A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing, 24(4), 501-507.
    2.
  2. Amiri, A. H. & Koosha, M. (2012). Statistical quality control. Tehran: Negeah e danesh.
    3.
  3. Biglarbeygi, F. (2004). Designing of a model for determine critical defects of a product by FMEA, QFD & Pareto_Ishikawa Techniques. The fifth international conference on Quality Managers in Tehran.
    4.
  4. Chen, L. & Ko, W. (2009). Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modeling, 33(2), 633-647.
    5.
  5. Chen, Sh. & Yang, Ch. (2004). Applications of Web-QFD and E-Delphi method in the higher education system. Human Systems Management, 23(4), 245-256.
    6.
  6. Chen, Sh. (2016). Determining the service demands of an aging population by integrating QFD and FMEA method. Quality & Quantity, 50(1), 283-298.
    7.
  7. Gaeini, A. & Zavar Sabegh, M. H. (2013). Statistical quality control. Tehran: Harekat e no.
    8.
  8. Hassan, A., Siadat. A., Dantan, J. & Martin, P. (2010). Conceptual process planning – an improvement approach using QFD, FMEA, ABC methods. Robotics and Computer-Integrated Manufacturing, 26 (4), 392-401.
    9.
  9. Korayem, M.H. & Ervani, A. (2008). Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches. Robotics and Computer-Integrated Manufacturing, 24(3), 472-487.
    10.
  10. Lin, W.T., Chen, S.C., Jang, H.F. & Wu, H.H. (2006). Performance evaluation of introducing QS-9000 to the Taiwanese semiconductor industry. The International Journal of Advanced Manufacturing Technology, 27 (9&10), 1011–1020.
    11.
  11. Maleki, A. R., Zohor, A. R., Ebadifard Azar, F., Rezaie, K., & Ebadian, M. (2010). An integrated approach in healthcare system in accordance with QFD/ FMEA. Payesh Journal, 9(2), 117-130.
    12.
  12. Puglieri, F. N. & Ometto, A. R. (2011). Environmental and operational analysis of ecodesign methods based on QFD and FMEA. Glocalized Solutions for Sustainability in Manufacturing: Proceeding of the 18th CIRP International Conference on Life Cycle Engineering, Germany, May 2nd-4th, 142-147
    13.
  13. Sullivan, L. P. (1986). Quality function deployment. Quality Progress, 25(1), 39–50.
    14.
  14. Tay, K. M. & Lim, Ch. P. (2006). A guided rules reduction system for prioritization of failures in fuzzy FMEA. Applications of Soft Computing, 36(1), 301-310.
    15.
_||_

  1. Almannai, B., Greenough, R. & Kay, J. (2008). A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing, 24(4), 501-507.
    2.
  2. Amiri, A. H. & Koosha, M. (2012). Statistical quality control. Tehran: Negeah e danesh.
    3.
  3. Biglarbeygi, F. (2004). Designing of a model for determine critical defects of a product by FMEA, QFD & Pareto_Ishikawa Techniques. The fifth international conference on Quality Managers in Tehran.
    4.
  4. Chen, L. & Ko, W. (2009). Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modeling, 33(2), 633-647.
    5.
  5. Chen, Sh. & Yang, Ch. (2004). Applications of Web-QFD and E-Delphi method in the higher education system. Human Systems Management, 23(4), 245-256.
    6.
  6. Chen, Sh. (2016). Determining the service demands of an aging population by integrating QFD and FMEA method. Quality & Quantity, 50(1), 283-298.
    7.
  7. Gaeini, A. & Zavar Sabegh, M. H. (2013). Statistical quality control. Tehran: Harekat e no.
    8.
  8. Hassan, A., Siadat. A., Dantan, J. & Martin, P. (2010). Conceptual process planning – an improvement approach using QFD, FMEA, ABC methods. Robotics and Computer-Integrated Manufacturing, 26 (4), 392-401.
    9.
  9. Korayem, M.H. & Ervani, A. (2008). Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches. Robotics and Computer-Integrated Manufacturing, 24(3), 472-487.
    10.
  10. Lin, W.T., Chen, S.C., Jang, H.F. & Wu, H.H. (2006). Performance evaluation of introducing QS-9000 to the Taiwanese semiconductor industry. The International Journal of Advanced Manufacturing Technology, 27 (9&10), 1011–1020.
    11.
  11. Maleki, A. R., Zohor, A. R., Ebadifard Azar, F., Rezaie, K., & Ebadian, M. (2010). An integrated approach in healthcare system in accordance with QFD/ FMEA. Payesh Journal, 9(2), 117-130.
    12.
  12. Puglieri, F. N. & Ometto, A. R. (2011). Environmental and operational analysis of ecodesign methods based on QFD and FMEA. Glocalized Solutions for Sustainability in Manufacturing: Proceeding of the 18th CIRP International Conference on Life Cycle Engineering, Germany, May 2nd-4th, 142-147
    13.
  13. Sullivan, L. P. (1986). Quality function deployment. Quality Progress, 25(1), 39–50.
    14.
  14. Tay, K. M. & Lim, Ch. P. (2006). A guided rules reduction system for prioritization of failures in fuzzy FMEA. Applications of Soft Computing, 36(1), 301-310.
    15.

مقالات مرتبط

حقوق این وب‌سایت متعلق به سامانه مدیریت نشریات دانشگاه آزاد اسلامی است.
حق نشر © 1403-1400

صفحه اصلی| عضویت/ ورود| درباره سند| تماس با ما|
[English] [العربية] [en] [ar]