@conference { ISI:000380409500070, title = {Integrated enterprise system selection based on a fuzzy MCDM approach}, booktitle = {2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA)}, year = {2015}, note = {10th International Conference on Intelligent Systems - Theories and Applications (SITA), ENSIAS, Rabat, MOROCCO, OCT 20-21, 2015}, publisher = {IEEE}, organization = {IEEE}, abstract = {An integrated enterprise system (IES) is essential to keep an enterprise growing and improving its productivity. Previous research relating to IES selection generally deals only with ERP solutions. The aim of this paper is to propose a fuzzy multi criteria decision making (MCDM) approach that could be followed to enable a given enterprise to select the most appropriate IES among the existing ones (Proprietary ERP, Open source ERP, In-house software, Best of Breed, ASP). Firstly, this paper analyses and synthetizes many criteria used in previous research works and proposes new ones to sort out the most relevant into nine dimensions for our problematic. Secondly, it presents a selection process which combines two fuzzy methods: Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) and fuzzy Analytic Network Process (FANP).}, isbn = {978-1-5090-0220-7}, author = {Setti, Meryem and Janati Idrissi, Mohammed Abdou and Khaled, Abdelilah} } @article {11810056420151101, title = {Proposition of a new ex-ante evaluation method for adapting and selecting ERP solutions.}, journal = {E-Ti: E-Review in Technologies Information}, number = {8}, year = {2015}, pages = {34 - 47}, abstract = {Acquiring an ERP system is one of the most risky, tedious and complex decision making activities for any organization. It has been widely reported that selecting an inappropriate ERP is one of the major reasons for its implementation failure. In this paper, we will develop a new ex-ante evaluation method for ERP system tailoring and selection. The proposed method, called SEVALERPS (Systematic Evaluation of ERP Systems), is basically elaborated to help organizations, especially large ones, to better customize and evaluate the potential ERP solutions in order to choose the ones that meet their best requirements{\textquoteright} tradeoff. SEVALERPS relies on many sound mathematical techniques to handle various evaluation aspects: 0-1 linear programming to choose the best ERP tailoring scenarios, MACBETH to express the preferences of the selection team in both a qualitative and quantitative way, and the discrete Choquet integral to address interdependencies that might exist among evaluation criteria. (En}, keywords = {0-1 linear Programing, Adaptation ERP, Choquet Integral, Couverture fonctionnelle, Enterprise resource planning, ERP Evaluation, ERP Functional coverage, ERP Selection, ERP Tailoring, {\'E}valuation ERP, Int{\'e}grale de Choquet, Linear programming, MACBETH, Programmation lin{\'e}aire {\`a} variables binaires, S{\'e}lection ERP}, issn = {11148802}, url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=118100564\&site=ehost-live}, author = {Khaled, Abdelilah and Janati Idrissi, Mohammed Abdou} } @conference { ISI:000307329300033, title = {A Learning Driven Model for ERP Software Selection Based on the Choquet Integral: Small and Medium Enterprises Context}, booktitle = {DIGITAL ENTERPRISE AND INFORMATION SYSTEMS}, series = {Communications in Computer and Information Science}, volume = {194}, year = {2011}, note = {International Conference on Digital Enterprise and Information Systems, London Metropolitan Univ, London, ENGLAND, JUL 20-22, 2011}, pages = {358-371}, publisher = {Springer}, organization = {Springer}, abstract = {Historically, Enterprise Resource Planning (ERP) systems were initially destined to large companies in order to standardize and streamline their key business processes. Recently, they have been increasingly adopted by Small and Medium Enterprises (SMEs). However, making strategic tradeoffs among the various marketplace solutions is a troublesome balance task for SMEs without the rescue of systematic decision approaches. This paper addresses the question of how to choose an ERP solution that best suits a given SME. It serves twofold objectives; firstly it defines a set of selection criteria related to SMEs{\textquoteright} context. Secondly. it presents a selection methodology based on the construction of an induced decision model through capturing the decision maker{\textquoteright}s preferences. The key contribution of this paper is the introduction of a new iterative learning based approach destined to make enlightened decisions through the consideration of interdependencies among the adopted selection criteria thanks to the Choquet integral.}, isbn = {978-3-642-22602-1}, issn = {1865-0929}, author = {Khaled, Abdelilah and Idrissi, Mohammed Abdou Janati}, editor = {Ariwa, E and ElQawasmeh, E} }