Putting the enterprise into the enterprise system
Harvard Business Review
The Choquet integral for the aggregation of interval scales in multicriteria decision making
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
ERP plans and decision-support benefits
Decision Support Systems
Human Factors in Ergonomics & Manufacturing
Choquet integral for criteria aggregation in the flexible job-shop scheduling problems
Mathematics and Computers in Simulation
An integrated decision making approach for ERP system selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An integrated case-based reasoning and MCDM system for Web based tourism destination planning
Expert Systems with Applications: An International Journal
A framework for dynamic multiple-criteria decision making
Decision Support Systems
Prioritization and management of inter-enterprise collaborative performance
Decision Support Systems
Multicriterion Decision in Management: Principles and Practice
Multicriterion Decision in Management: Principles and Practice
An integrated decision making model for district revitalization and regeneration project selection
Decision Support Systems
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An enterprise resource planning (ERP) system is an information system to plan and integrate all of an enterprise's subsystems including purchase, production, sales and finance. Adopting such a comprehensive framework may result in the great savings in both costs and man hours. This research explores the application of a hybrid multicriteria decision making (MCDM) procedure for the evaluation of various ERP alternatives. The proposed evaluation framework integrates three methodologies: Analytic Network Process (ANP), Choquet integral (CI) and Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH). ANP produces the priorities of alternatives with respect to the interdependent evaluation criteria. The conjunctive or disjunctive behaviors between criteria are determined using MACBETH and CI. Numerical application of the proposed methodology is implemented on the decision making problem of a firm that faces with four ERP projects. The final ranking is compared to the one obtained by ignoring the interactions among criteria. The results demonstrate that the ignorance of the interactions may lead to erroneous decisions.