A hybrid BSC-DEMATEL- FIS approach for performance measurement in Food Industry
محورهای موضوعی : Strategic Management
شبنم جلالت
1
(
Department of Business Management, Rasht Branch, Islamic Azad University, Rasht, Iran.
)
مهدی فدایی
2
(
Department of Management, Rasht Branch, Islamic Azad University, Rasht, Iran
)
مهدی همایونفر
3
(
Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
)
کلید واژه: Performance Evaluation, Balanced scorecard (BSC), DEMATEL, fuzzy inference system (FIS), Food Industry,
چکیده مقاله :
Organizational performance is a complex issue given that performance is a multifaceted phenomenon whose components may have distinct managerial priorities and may even be mutually inconsistent. Recently, the balanced scorecard approach (BSC), as an effective multi-criteria evaluation concept received much attention in organizational performance measurement. Although the BSC conceptual framework has been widely accepted in the business community, the proper method of implementing the framework remains an issue. Hence, this study has developed a hybrid expert system composition of BSC, Decision Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy inference system (FIS) to evaluate the food producing companies. To this aim, this paper applied a graph theory based technique (DEMATEL) to determine critical criteria of BSC’s perspectives. The results show that “Profit”, “Customer satisfaction”, “Customer communication”, “Innovation management” and “Organizational asset management”, are of more importance in performance evaluation. In the next step, these criteria shape a fuzzy rule based inference system with linguistic variables and the membership functions are adjusted by experts. The results of proposed approach in food industry of Guilan province, Iran, show its applicability for evaluating the food companies.
عملکرد سازمانی یک مسئله پیچیده است با توجه به اینکه عملکرد پدیده چند وجهی است اجزاء آن ممکن است اولویت های مدیریتی متمایز داشته و حتی ممکن است متقابلا ناسازگار باشند. به تازگی، رویکرد متوازن (BSC) به عنوان مفهوم ارزیابی موثر چند معیاری در سنجش عملکرد سازمانی توجه زیادی دریافت کرده است. اگر چه چارچوب مفهومی BSC به طور گسترده ای در جامعه کسب و کار پذیرفته شده است، موضوع روش مناسب اجرای چارچوب باقی می ماند. از این رو، این مقاله سیستم ترکیبی خبره BSC ،تصمیم گیری آزمایشی و ارزیابی آزمایشگاهی (DEMATEL) و سیستم استنتاج فازی (FIS) را برای ارزیابی شرکت های تولید مواد غذایی توسعه داده است. برای این هدف این مقاله نظریه گراف بر اساس روش (DEMATEL) برای تعیین معیار انتقادی از دیدگاه BSC را اعمال کرد. نتایج نشان می دهد که "سود"، "رضایت مشتری"، "ارتباطات مشتری""نوآوری"، مدیریت" و "سازمان به عنوان مجموعه مدیریت" بیشترین اهمیت را در ارزیابی عملکرد دارد. در مرحله بعد این معیار به شکل قانون فازی براساس سیستم استنتاج با متغیرهای زبانی و توابع عضویت توسط کارشناسان تنظیم می شود. نتایج حاصل از روش پیشنهادی در صنایع غذایی استان گیلان کاربرد آن در ارزیابی شرکت های مواد غذایی را نشان می دهد.
[1]Bentes, A.V. Carneiro, J. da Silva, J.F. Kimura, H. 2012. Multidimensional assessment of organizational performance: Integrating BSC and AHP. Journal of Business Research, 65, 1790–1799.
[2]Chang, B. Chang, C.W. Wu, C.H. 2011. Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38, 1850-1858.
[3]Dessler, G. 2000. Human resource management. New Jersey: Prentice-Hall, 8th edition.
[4[Gabus, A. Fontela, E. 1972. World problems and invitation to further thought within the framework of DEMATEL, Switzerland Geneva: Battelle Geneva Research Centre.
[5]Green, G.I., Keim, R.T. 1983. After implementation what’s next? Evaluation. Journal of System Management, 34 (9), 10-15
[6]Huang, C.Y. Shyu, J.Z. Tzeng, G.H. 2007. Reconfiguring the innovation policy portfolios for Taiwan’s SIP mall industry. Technovation, 29, 744-765.
[7]Kaplan, R.S., Norton, D.P. 1992. The balance scorecard – measures that drive performance. Harvard Business Review, 70, 71–79.
[8]Li, C.W. Tzeng, G.H. 2009. Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall. Expert Systems with Applications, 36, 9891-9898.
[9]Lin, C.J. Wu, W.W. 2008. A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34, 205-213.
[10]Liou, J.J.H. Tzeng, G.H. 2007. A non-additive model for evaluating airline service quality. Journal of Air Transport Management, 13, 131-138.
[11]Liou, J.J.H. Chuang, Y.T. 2010. Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications, 37, 3755-3761.
[12]Lueg, Rainer. 2015. Strategy maps: the essential link between the balanced scorecard and action. Journal of Business Strategy, 36 , 34 – 40.
[13]Rahimnia, Fariborz , Samira, Keyvanipoor , Moghadasian, Mahdi. 2014. Analysis of BSC perspectives as related to the alignment of environmental uncertainty and supply chain strategy. Benchmarking: An International Journal, 21 , 903 – 916.
[14]Sankar, N.R. Prabhu, B.S. 2001. Modified approach for prioritization of failures in a system failure mode and effects analysis. International Journal ofQualityandReliability Management, 18, 324-335.
[15]Sivanandam, S.N. Sumathi, S. Deepa, S.N. 2007. Introduction to Fuzzy Logic Using Matlab. Springer, New York, USA.
[16]Solatian, Payam, Abbasi, Seyed Hamidreza, Shabaninia, Fereidoon. 2012. Simulation Study of Flow Control Based on PID ANFIS Controller for Non-Linear Process Plants . American Journal of Intelligent System, 2 (5), 104-110.
[17]Toloie-Eshlaghi, A., Homayonfar, M. 2011. MCDM Methodologies and Applications: A Literature Review from 1999 to 2009. Research Journal of International Studies, 21, 86-127.
[18]Tsai, W.H. Chou, W.C. 2009. Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP and ZOGP. Expert Systems with Applications, 36, 1444-1458.
[19]Tzeng, G.H. Chiang, C.H. Li, C.W. 2006. Evaluating intertwined effects in elearning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32, 1028-1044.
[30]Vaez-Ghasemi, M., F Hosseinzadeh Lotfi, L Taghizadeh, Multi-component balanced scorecard for perspectives efficiency measurement, Applied Mathematical Sciences, Vol. 6, 2012, no. 9, 403 - 410
[31]Wang, Y.L. Tzeng, G.H. 2012. Brand marketing for creating brand value based on a MCDM model combining DEMATEL with ANP and VIKOR methods. Expert Systems with Applications, 39, 5600–5615.
[32]Wu, W.W. 2008. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35, 828–835.
[33]Wu, W.W. 2012. Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method. Applied Soft Computing, 12, 527-535.
[34]Wu, W.W. Lee, Y.T. 2007. Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32, 499-507.
[35]Wu, H.Y., Tzeng, G.H., & Chen, Y.H. 2009. A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36, 10135–10147.
[36]Wu, H.Y. Lin, Y.K. Chang, C.H. 2011. Performance evaluation of extension education centers in universities based on the balanced scorecard. Evaluation and Program Planning, 34, 37–50.
[37]Yang, M. Khan, F.I. Sadiq, R. 2011. Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process, Process Safety and Environmental Protection, 89, 22–34.
[38]Zhou, Q. Huang, W. Zhang, Y. 2011. Identifying critical success factors in emergency management using a fuzzy DEMATEL method. Safety Science, 49, 243–252.
