سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات161
تعداد شماره‌ها6,532
تعداد مقالات70,501
تعداد مشاهده مقاله124,112,931
تعداد دریافت فایل اصل مقاله97,216,762
Ghasemi, Ahmad Reza, Asgharizadeh, Ezatollah. (1393). Presenting a Hybrid ANN-MADM Method to Define Excellence Level of Iranian Petrochemical Companies. , 6(2), 267-284. doi: 10.22059/jitm.2014.50864
Ahmad Reza Ghasemi; Ezatollah Asgharizadeh. "Presenting a Hybrid ANN-MADM Method to Define Excellence Level of Iranian Petrochemical Companies". , 6, 2, 1393, 267-284. doi: 10.22059/jitm.2014.50864
Ghasemi, Ahmad Reza, Asgharizadeh, Ezatollah. (1393). 'Presenting a Hybrid ANN-MADM Method to Define Excellence Level of Iranian Petrochemical Companies', , 6(2), pp. 267-284. doi: 10.22059/jitm.2014.50864
Ghasemi, Ahmad Reza, Asgharizadeh, Ezatollah. Presenting a Hybrid ANN-MADM Method to Define Excellence Level of Iranian Petrochemical Companies. , 1393; 6(2): 267-284. doi: 10.22059/jitm.2014.50864

Presenting a Hybrid ANN-MADM Method to Define Excellence Level of Iranian Petrochemical Companies

Journal of Information Technology Management
مقاله 6، دوره 6، شماره 2، مهر 2014، صفحه 267-284    اصل مقاله (874.17 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jitm.2014.50864
نویسندگان
Ahmad Reza Ghasemi* 1؛ Ezatollah Asgharizadeh2
1Assistant Prof., Industrial Management, Farabi Campus, University of Tehran, Qum, Iran
2Associate Prof., Industrial Management, Farabi Campus, University of Tehran, Qum, Iran
چکیده
Defining maturity level is one of the important elements of the excellence models. This approach helps companies to assess competitive positions and help them to benchmark from best practices. One of the significant features of excellence models is defining maturity level using subjective and conventional approach. Present research is a Cross-sectional Study among Iranian petrochemical companies. In this research a heuristic approach based on revised self-organized neural network was developed to define excellence level of H3SC Model in petrochemical industries. Applying compactness and distance among clusters in categorization, beside the impact of criteria's weighting are some benefits of the proposed method compared to traditional methods. In this hybrid approach, criteria were clustered in different scenarios. Then optimum number of clusters was assessed using mean square error (MSE) and R2 criteria. The results indicate that given the current data, categorizing the studied options into two clusters is of higher mathematical validity. So the proposed method categorizes and evaluates companies participated in quality awards based on the competitive approach.
کلیدواژه‌ها
Clustering؛ H3SE excellence؛ MADM؛ Petrochemical Industry
آمار
تعداد مشاهده مقاله: 2,893
تعداد دریافت فایل اصل مقاله: 2,095


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب