A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection.

Area of Science:

• Operations Research
• Information Systems Management
• Business Analytics

Background:

• Enterprise Resource Planning (ERP) systems are vital for enhancing business market power.
• Incorrect ERP selection is a primary cause of implementation failures.
• ERP selection is a complex multi-criteria decision-making (MCDM) problem due to diverse business environments and system options.

Purpose of the Study:

• To propose and validate an integrated MCDM approach for selecting the optimal ERP system.
• To determine the effectiveness of the Rough Best Worst Method (BWM) for criteria weighting and the Rough Integrated Simple Weighted Sum Product (WISP) for ranking ERP alternatives.

Main Methods:

• Utilized the Rough Best Worst Method (BWM) to establish the weights of various selection criteria.
• Employed the newly developed Rough Integrated Simple Weighted Sum Product (WISP) method to rank the evaluated ERP alternatives.
• Conducted sensitivity analysis by comparing the Rough WISP method with existing rough techniques.

Main Results:

• The Rough BWM and Rough WISP integrated method successfully ranked ERP alternatives, identifying SFT-4 as the most suitable option.
• The proposed method demonstrated high usability, accuracy, ease of use, and consistency in the ERP selection process.
• Sensitivity analysis confirmed negligible differences between the Rough WISP method and other established rough techniques.

Conclusions:

• The integrated Rough BWM and Rough WISP approach provides a robust and effective framework for ERP system selection.
• This study offers valuable insights and a practical tool for decision-makers in choosing the best ERP software across different business sectors.
• The developed methodology addresses the complexities inherent in ERP selection, ensuring a more reliable and consistent outcome.