قابلیت عملکرد نمودارهای کنترلی چند متغیره T2 و MEWMA درپایش پروژه

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مهندسی صنایع، دانشکده مدیریت و مهندسی صنایع ، دانشگاه صنعتی مالک اشتر،تهران، ایران

2 دانشیار گروه مهندسی صنایع، دانشکده مدیریت و مهندسی صنایع، دانشگاه صنعتی مالک اشتر، تهران، ایران

چکیده
یکی از کاربردی‌ترین روش‌های پایش و کنترل عملکرد پروژه مدیریت ارزش کسب شده است. بکارگیری گسترده این روش در بسیاری از  پروژه‌ها منجر به تولید شاخص‌های متعدد با تاثیر متقابل می‌گردد، این ویژگی مهم تحلیل انفرادی آنها را با خطا همراه می‌سازد. در این روش نه تنها به تاثیر متقابل شاخص‌ها توجه نمی شود، بلکه عدم توجه به پایش تغییرپذیری شاخص ها موجب شده که این روش جهت پایش پروژه بر اساس معیار شاخص پذیری، عملکرد مناسبی نداشته باشد. در این پژوهش با استفاده از نمودارهای کنترلی چند متغیره، به صورت همزمان شاخص‌های عملکردی یک پروژه گازرسانی مبتنی بر داده‌های واقعی را بررسی نموده‌ایم، پس از تحلیل نتایج به دست آمده، عملکرد دو نمودار هتلینگ و (MEWMA) را با یکدیگر مقایسه کرده ایم که نمودار (MEWMA) از قابلیت و حساسیت بیشتری نسبت به نمودار هتلینگ در شناسایی تغییرات در فرایندهای چند متغیره برخوردار می باشد.

کلیدواژه‌ها


عنوان مقاله English

Functionality of T2 and MEWMA multivariable control charts in project monitoring

نویسندگان English

Mohammad Mehdi Mirzaei 1
karim Atashgar 2
1 1. Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
2 2. Associate Professor, Faculty Member of Industrial Engineering, Malek Ashlar University of Technology, Tehran, Iran
چکیده English

One of the most practical methods of monitoring and controlling project performance is earned value management. The widespread use of this method in many projects leads to the production of multiple indicators with mutual influence, This important feature makes their individual analysis with errors. In this method, not only the mutual influence of the indicators is not paid attention to, but also the lack of attention to the monitoring of the variability of the indicators has caused this method to monitor the project based on the criterion of indexability. In this research, using multivariable control charts, we have simultaneously checked the performance indicators of a gas supply project based on real data. After analyzing the obtained results, we have compared the performance of Hotelling and (MEWMA) charts with each other. After comparison, it was found that MEWMA chart has more capability and sensitivity than Hotelling chart in identifying changes in multivariate processes.

کلیدواژه‌ها English

earned value management
Project monitoring
Hotelling diagram
MEWMA
[1] PMBOK. (2017). A Guide to the Project Management Body of Knowledge. PMBOK Guide6.
[2] Sabzeparvar, M. (2006). Project Control. Tehran: Terme Publishing.
[3] Mootadelro, A. (2019). Investigating the lack of establishing a comprehensive project planning and control system as a problem in project-oriented organizations (along with a case study in three provinces of the country). Science and Engineering Elites, 5(6), 39-47.(in persian)
[4] Kazemi, A., and Fakhouri, P. (2013). Presenting a fuzzy control system to estimate the project completion time in Gert networks. International Journal of Industrial Engineering and Production Management. 23 (2): 251-263.
[5] Farzi Poursaen, R. (1999). Management and Control of Research and Development Projects Using a Possible GERT Approach, The Second Conference of Industries and Mines Research and Development Centers, Tehran, Association of Research and evelopment Centers of Industries and Mines.
[6]Afsar, A., Ziaei, S. J. (2022). Present an Algorithm Based On Gert Method and Monte Carlo Simulation to Manage and Control the Research and Development Projects (Case Study: Model Airplane). ournal of Strategic Management in Industrial Systems,59 (17), 1-24. (in prrsian)
 [7] Zaki Dizaji, H. and Manjezi, N. (2018). Provide a network model for time management of overhaul of DerogarNeyshekar.Agricultural Machinery Quarterly. 8 (2): 403-412. (in Persian)
[8] Aliaei, E., Aghabeigi, P. and Jani, A. (2021). Predicting the cost of completing railway construction projects using the intelligent fuzzy-neural inference model. 7th International Conference on Recent Advances in Railway Engineering
[9] Gholamian, S. A. (2017). Presenting an integrated model to control project delays based on the time buffers management approach, Journal of Modeling in Engineering, 16(55), 1-18. (in prrsian)
[10] PMI. (2013). "A Guide to the Project Management Body of Knowledge". PMBOK Guide 5.
[11] Lipke, W. (2009). "Prediction of project outcome, the Application of Statistical methods to earend value managiment and earend schedule performance index". International journal of project management, 400-407.
[12] Atsagher, K. (2013). Advanced Statistical Quality Control, Publications of Defense Industries Educational and Research Institute, Tehran, first edition. (in prrsian)
[13] Akbari, A. A. & Salehipour, A. (2011). Statistical control of time and cost performance indicators in construction projects. Industrial Management Studies, 10(27), 144-166. (in prrsian)
[14] W.H.Lipke. (2012). Further Study Of The Normality Of CPI and SPI(t). The Measurable News, 16-18.
[15] Cynthia A. Lowry, William H. Woodall, Charles W. Champ and Steven E. Rigdon, A. (1992). Multivariate Exponentially Weighted Moving Average Control Chart, Technometrics, 34 (1), 46-53.
[16] Steven E. Rigdon. (2007). An Integral Equation For the in control Average Run Length of a Multivariate Exponentially Weighted moving Average Control Chart, Journal of Statistical Computation and Simulation, 52 (4), 351-365.
[17] Hotelling, H. (1947). Multivariate Quality Control. Illustrated by AirTesting of Sample Bombsights. Techniques of Statistical Analysis, 111-184.
[18] Noorossana, R., Shekari, M., Saghaei, A. (2012). Introduction to Statistical Quality Control Solution Manual, House of Quality Publishing Co.
[19] Noorossana, R. (2012). Statistical quality control (third edition). Tehran: Publications of the University of Science and Technology.