Using fuzzy analytical hierarchy process to evaluate main dimensions of business process reengineering

The goal of business process reengineering (BPR) is to achieve dramatic improvements in measures of business performance by radically changing the process design. The aim of this study is to develop a Fuzzy Analytic Hierarchy Process (FAHP) for the evaluation of BPR dimensions and taking judgments of decision makers into consideration. Drawing on the four dimensions of the BPR, this research first summarized the evaluation indices synthesized from the literature relating to BPR. Then, for screening these indices, 11 sub- indices fit for BPR evaluation were selected through expert questionnaires. FAHP method is used for determining the weights of the criteria by decision makers. The results show that organizational culture is the most important dimension of business process reengineering while BPR is implemented.

[1]  Gwo-Hshiung Tzeng,et al.  Fuzzy MCDM approach for planning and design tenders selection in public office buildings , 2004 .

[2]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[3]  Chee-Sing Yap,et al.  Business Process Reengineering in the Public Sector: The Case of the Housing Development Board in Singapore , 2000, J. Manag. Inf. Syst..

[4]  Mario Enea,et al.  Project Selection by Constrained Fuzzy AHP , 2004, Fuzzy Optim. Decis. Mak..

[5]  Malcolm James Beynon,et al.  Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study , 2005 .

[6]  權光鉉.  정보기술을 활용한 Business Reengineering의 전략적 효과 , 1995 .

[7]  Minghe Sun,et al.  Artificial neural network representations for hierarchical preference structures , 1996, Comput. Oper. Res..

[8]  Sanjay Goel,et al.  Integrating the global enterprise using Six Sigma: Business process reengineering at General Electric Wind Energy , 2008 .

[9]  Mao-Jiun J. Wang,et al.  Personnel selection using fuzzy MCDM algorithm , 1994 .

[10]  H. Basligil.  THE FUZZY ANALYTIC HIERARCHY PROCESS FOR SOFTWARE SELECTION PROBLEMS , 2005 .

[11]  L. C. Leung,et al.  On consistency and ranking of alternatives in fuzzy AHP , 2000, Eur. J. Oper. Res..

[12]  Jun Wu,et al.  Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process , 2007 .

[13]  R. Yager.  On a general class of fuzzy connectives , 1980 .

[14]  Sheng-Hshiung Tsaur,et al.  The evaluation of airline service quality by fuzzy MCDM. , 2002 .

[15]  Cengiz Kahraman,et al.  Project risk evaluation using a fuzzy analytic hierarchy process: An application to information technology projects , 2006, Int. J. Intell. Syst..

[16]  Da Ruan,et al.  Fuzzy group decision making for selection among computer integrated manufacturing systems , 2003, Comput. Ind..

[17]  J. Adamo.  Fuzzy decision trees , 1980 .

[18]  M. R. Abdi,et al.  Fuzzy multi-criteria decision model for evaluating reconfigurable machines , 2009 .

[19]  Qunxiong Zhu,et al.  Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space , 2006, Decis. Support Syst..

[20]  Yu-Hern Chang,et al.  PERFORMANCE EVALUATION OF INTERNATIONAL AIRPORTS IN THE REGION OF EAST ASIA , 2003 .

[21]  C. Kahraman,et al.  Multi‐criteria supplier selection using fuzzy AHP , 2003 .

[22]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[23]  Hepu Deng.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[24]  Ching-Hsue Cheng.  Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function , 1997 .

[25]  Ludmil Mikhailov,et al.  Evaluation of services using a fuzzy analytic hierarchy process , 2004, Appl. Soft Comput..

[26]  Wen-Chin Chen,et al.  A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan , 2008, Expert Syst. Appl..

[27]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[28]  Thomas H. Davenport,et al.  The New Industrial Engineering: Information Technology and Business Process Redesign , 2011 .

[29]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[30]  Michael Hammer,et al.  Reengineering Work: Don’t Automate, Obliterate , 1990 .

[31]  Yu-Cheng Tang,et al.  An approach to budget allocation for an aerospace company - Fuzzy analytic hierarchy process and artificial neural network , 2009, Neurocomputing.

[32]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[33]  Don-lin Mon,et al.  Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales , 1994 .

[34]  Ching-Hsue Cheng,et al.  Evaluating weapon systems using ranking fuzzy numbers , 1999, Fuzzy Sets Syst..

[35]  C. Beugré.  Implementing Business Process Reengineering , 1998 .

[36]  E. Lee,et al.  Comparison of fuzzy numbers based on the probability measure of fuzzy events , 1988 .

[37]  Victor B. Kreng,et al.  The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection , 2010, Expert Syst. Appl..

[38]  Wolfgang Hauke,et al.  Fuzzy Multiple Objective Decision Making (Fuzzy-MODM) , 1998 .

[39]  R. Talwar.  Business re-engineering—a strategy-driven approach , 1993 .

[40]  Cengiz Kahraman,et al.  Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey , 2004 .

[41]  G. Liang,et al.  Application of a fuzzy multi-criteria decision-making model for shipping company performance evaluation , 2001 .

[42]  Reza Zanjirani Farahani,et al.  Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives , 2010, Appl. Soft Comput..

[43]  Guohua Shi,et al.  Developing a fuzzy analytic hierarchical process model for building energy conservation assessment , 2010 .

[44]  Yu Jing,et al.  A discussion on Extent Analysis Method and applications of fuzzy AHP , 1999, Eur. J. Oper. Res..

[45]  Da Ruan,et al.  Fuzzy group decision-making for facility location selection , 2003, Inf. Sci..

[46]  Irfan Ertugrul,et al.  Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods , 2009, Expert Syst. Appl..

[47]  Amy Hsin-I Lee,et al.  Analysis of priority mix planning for semiconductor fabrication under uncertainty , 2006 .

[48]  Chian-Son Yu,et al.  A GP-AHP method for solving group decision-making fuzzy AHP problems , 2002, Comput. Oper. Res..