Selecting appropriate ERP software using integrated fuzzy linguistic preference relations – fuzzy TOPSIS method

Abstract

Due to the high uncertainty of business environment, the complexity and diversity of enterprise resource planning (ERP) projects and conflicting assessment criteria, appropriate ERP software selection can be viewed as a multi-criteria decisionmaking (MCDM) problem. Among the MCDM methods, extent analysis method (EAM) has been employed in many applications due to its computational simplicity. However, in EAM, inconsistency rises as the numbers of criteria or alternatives increase. In order to address this inconsistency problem, fuzzy linguistic preference relations (FLPR) has been proposed to obtain consistent solutions in the decision-making processes. This study proposes a robust ERP selection framework where the weights of the evaluation criteria are computed through FLPR and the ranking of the alternative ERP systems is obtained via Fuzzy TOPSIS. A real life application has been executed in a Turkish wholesale food company.

Post-harvest losses in Indian maize amid increasing food insecurity Analysis using TOPSIS method

“…Reluctance TOPSIS method. [13] This study is a robust ERP selection framework Proposes, including FLPR and alternative ERP systems of evaluation criteria calculated by ranking the weights are obtained by TOPSIS. Food Turkish total real life application in company implemented.…”

“…savings Significant losses were incurred during the phase detected. From the perspective of farmers, climate change, Field damage, and pests main causes of losses [13] The transition Traditional post-harvest operations begin with growing Considerably up to mechanized systems in countries Adds investment costs, especially for machinery, Also engine output, and fuel consumption 6-8 Greenhouse Gas Emissions (GHGE) from leads to increase. However, mechanized Under traditional operations compared to systems Postharvest losses are significantly higher.…”

Proposta de um modelo de avaliação e de seleção de fornecedores de manutenção industrial utilizando Fuzzy-TOPSIS

“…Fuzzy TOPSIS is a multi-criteria technique developed by Chen (2000), in which the author proposes an effective method to measure the distance between two triangular Fuzzy numbers, extending the procedure commonly adopted by TOPSIS to the Fuzzy universe (Chen et al, 2006). This approach is widely used in supply chain management, contributing to supplier selection and evaluation problems (Arabzad et al, 2015;Çakır, 2016;He et al, 2016;Kuo et al, 2015;Lima & Carpinetti, 2016;Sangaiah et al, 2015;Pardha Saradhi et al, 2016;Wood, 2016).…”