Abstract
With important advancements achieved in information technology, wide varieties of advanced planning and scheduling (APS) software has emerged in recent decades. Each of those APS software uses thei...
Highlights
APS system is used by manufacturers for planning and meeting customer demand using finite material availability and resource capacity constraints at enterprise level as well as at plant level (Hvolby & Steger-Jensen, 2010)
A review of available literature revealed a huge amount of selection approaches and methodologies for different engineering software (ERP software, PM software, product lifecycle management (PLM) software, etc.), all based on multiple criteria decision-making (MCDM) techniques, mathematical programming, artificial intelligence or on the integration of those
This paper presents a simple approach in a fuzzy environment filled with uncertainty and ambiguity to overcome the complex APS software decision problem
Summary
APS system is used by manufacturers for planning and meeting customer demand using finite material availability and resource capacity constraints at enterprise level as well as at plant level (Hvolby & Steger-Jensen, 2010). There is not yet such approach in the literature to assist company in the selection of APS software among the huge number available on the market with different strengths and weaknesses. Boran, and Goztepe (2009) introduced a new method for ERP software selection using ANN model that is trained by results obtained from ANP to build priorities for the selection of the best ERP software. Concerning integrated approaches, those bring together several methods. As examples of works related to this technique, Hanine et al (2016) developed a decision-making application based on AHP and TOPSIS for Extract Load Transform (ETL) software selection purpose. As examples of works related to this technique, Hanine et al (2016) developed a decision-making application based on AHP and TOPSIS for Extract Load Transform (ETL) software selection purpose. Martin-Utrillas, ReyesMedina, Curiel-Esparza, and Canto-Perello (2015) used a combination of AHP based on expert data obtained from Delphi method and VIKOR method to reach a consensus solution for choosing the optimal combination of techniques to depollute leachate. Yu, Xu, and Ma (2013) developed a methodology using PROMETHEE and linear optimization models to overcome the drawbacks of the existing MCDM methods
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