A Semi-Structured Tailoring-Driven Approach for ERP Selection
It has been widely reported that selecting an inappropriate system is a major reason for ERP implementation failures. The selection of an ERP system is therefore critical. While the number of papers related to ERP implementation is substantial, ERP evaluation and selection approaches have received few attention. Motivated by the adaptation concept of the ERP systems, we propose in this paper a semi-structured approach for ERP system selection that has a more holistic focus by simultaneously evaluating candidate products according to both functional and non-functional requirements and considering the anticipated fitness of ERP solutions after the optimal resolution, within limited resources, of a set of the identified mismatches. The approach consists of an iterative selection process and an evaluation methodology that combines a 0-1 linear programming model to determine functional measurement metrics with MACBETH cardinal scales to elaborate multi-criteria performance expressions.
Keywords: ERP Selection, Mismatch Handling, Non Functional Requirements Functional Coverage, 0-1 linear programming, MACBETH, Multi-criteria
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ABOUT THE AUTHORS
Abdelilah Khaled
Abdelilah Khaled is a software development engineer graduated from ENSIAS (National Higher School for Computer Science and System Analysis) that belongs to the Mohamed V Souissi University. He is also a Ph.D. candidate at the same university. He conducts active research in information technology related to the elaboration of multicriteria decision models that are destined to select and evaluate enterprise systems and COTS (Commercial Off The Shelf) products. Abdelilah Khaled has developed an expertise in software development and business solutions integration. He has worked as a consultant and advisor to various companies and organisations. His works was published in a number of management information systems and computer science academic journals and conference publications.
Mohammed Abdou Janati Idrissi
Mohammed Abdou Janati Idrissi holds a PhD degree in Mathematics and Computer Sciences. He is a professor and researcher at ENSIAS (National Higher School for Computer Science and System analysis), Mohamed V Souissi University, Rabat, Morocco. Prof. Janati is a head of the Decision Aid Department at ENSIAS. His research focuses on decision-aid methods, networks optimization and project management. In addition to his academic work, his engagements include providing expertise to a range of project management, decision aid, and business intelligence projects for many large companies. His works was published in a number of management information systems and computer science academic journals, conference publications, and books.
Abdelilah Khaled
Abdelilah Khaled is a software development engineer graduated from ENSIAS (National Higher School for Computer Science and System Analysis) that belongs to the Mohamed V Souissi University. He is also a Ph.D. candidate at the same university. He conducts active research in information technology related to the elaboration of multicriteria decision models that are destined to select and evaluate enterprise systems and COTS (Commercial Off The Shelf) products. Abdelilah Khaled has developed an expertise in software development and business solutions integration. He has worked as a consultant and advisor to various companies and organisations. His works was published in a number of management information systems and computer science academic journals and conference publications.
Mohammed Abdou Janati Idrissi
Mohammed Abdou Janati Idrissi holds a PhD degree in Mathematics and Computer Sciences. He is a professor and researcher at ENSIAS (National Higher School for Computer Science and System analysis), Mohamed V Souissi University, Rabat, Morocco. Prof. Janati is a head of the Decision Aid Department at ENSIAS. His research focuses on decision-aid methods, networks optimization and project management. In addition to his academic work, his engagements include providing expertise to a range of project management, decision aid, and business intelligence projects for many large companies. His works was published in a number of management information systems and computer science academic journals, conference publications, and books.
