A model for selecting an ERP system based on linguistic information processing

An enterprise resource planning (ERP) is an enterprise-wide application software package that integrates all necessary business functions into a single system with a common database. In order to implement an ERP project successfully in an organization, it is necessary to select a suitable ERP system. This paper presents a new model, which is based on linguistic information processing, for dealing with such a problem. In the study, a similarity degree based algorithm is proposed to aggregate the objective information about ERP systems from some external professional organizations, which may be expressed by different linguistic term sets. The consistency and inconsistency indices are defined by considering the subject information obtained from internal interviews with ERP vendors, and then a linear programming model is established for selecting the most suitable ERP system. Finally, a numerical example is given to demonstrate the application of the proposed method.

[1]  Robert C. Beatty,et al.  ERP II , 2006, Commun. ACM.

[2]  Angappa Gunasekaran,et al.  Enterprise information systems project implementation:: A case study of ERP in Rolls-Royce , 2004 .

[3]  Enrique Herrera-Viedma,et al.  Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words: Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web , 2006 .

[4]  Enrique Herrera-Viedma,et al.  Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words , 2006, J. Assoc. Inf. Sci. Technol..

[5]  Yuan Li,et al.  A knowledge management system for ERP implementation , 2006 .

[6]  Jian-Bo Yang,et al.  Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments , 2004, Inf. Sci..

[7]  Ching-Hsue Cheng,et al.  Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation , 2002, Eur. J. Oper. Res..

[8]  Anand Teltumbde,et al.  A framework for evaluating ERP projects , 2000 .

[9]  Toni M. Somers,et al.  A taxonomy of players and activities across the ERP project life cycle , 2004, Inf. Manag..

[10]  Xin He,et al.  The ERP challenge in China: a resource‐based perspective , 2004, Inf. Syst. J..

[11]  Jacques Verville,et al.  A SIX-STAGE MODEL OF THE BUYING PROCESS FOR ERP SOFTWARE , 2003 .

[12]  Munirpallam A. Venkataramanan,et al.  Enterprise resource planning: Managing the implementation process , 2003, Eur. J. Oper. Res..

[13]  Francisco Herrera,et al.  Managing non-homogeneous information in group decision making , 2005, Eur. J. Oper. Res..

[14]  Luis Martínez-López,et al.  A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations , 2005, IEEE Transactions on Fuzzy Systems.

[15]  Dov Dori,et al.  ERP modeling: a comprehensive approach , 2003, Inf. Syst..

[16]  Chen-Fu Chien,et al.  An AHP-based approach to ERP system selection , 2005 .

[17]  Wang Xin.  Method for group decision making based on two-tuple linguistic information processing , 2003 .

[18]  M. Buss.  How to rank computer projects. , 1983, Harvard business review.

[19]  Neil A. M. Maiden,et al.  The implementation of enterprise resource planning packages in different organisational and national cultures , 2001, Inf. Syst..

[20]  Elisabeth J. Umble,et al.  Enterprise resource planning: Implementation procedures and critical success factors , 2003, Eur. J. Oper. Res..

[21]  Palaniswamy Rajagopal,et al.  An innovation-diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model , 2002 .

[22]  Francisco Herrera,et al.  A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach , 1995, Inf. Sci..

[23]  Luis Martínez-López,et al.  A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet , 2002, Soft Comput..

[24]  Soung Hie Kim,et al.  Using analytic network process and goal programming for interdependent information system project selection , 2000, Comput. Oper. Res..

[25]  Abdullah S. Al-Mudimigh,et al.  ERP software implementation: an integrative framework , 2001, Eur. J. Inf. Syst..

[26]  José L. Verdegay,et al.  Linguistic decision‐making models , 1992, Int. J. Intell. Syst..

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

[28]  Vinod Kumar,et al.  An investigation of critical management issues in ERP implementation: emperical evidence from Canadian organizations , 2003 .

[29]  Francisco Herrera,et al.  A rational consensus model in group decision making using linguistic assessments , 1997, Fuzzy Sets Syst..

[30]  Francisco Herrera,et al.  The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[31]  C. Duguay,et al.  Key lessons from the implementation of an ERP at Pratt & Whitney Canada , 2005 .

[32]  Mao-Jiun J. Wang,et al.  A comprehensive framework for selecting an ERP system , 2004 .

[33]  H. Li,et al.  Production research in China , 2005 .

[34]  Van-Nam Huynh,et al.  A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[35]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[36]  Ronald R. Yager,et al.  An approach to ordinal decision making , 1995, Int. J. Approx. Reason..

[37]  X. Qin,et al.  ERP research, development and implementation in China: an overview , 2005 .

[38]  Sherry D. Ryan,et al.  Exploring knowledge sharing in ERP implementation: an organizational culture framework , 2006, Decis. Support Syst..

[39]  William R. King,et al.  Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations , 2005, MIS Q..