ABC inventory classification with multiple-criteria using weighted linear optimization

By Ramakrishnan Ramanathan. Computers & Operations Research, 2006

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A classification approach based on the outranking model for multiple criteria ABC analysis (2016, methodology): “It has been recognized that other criteria, such as inventory cost, part criticality, lead time, commonality, obsolescence, substitutability, durability, repairability, and so on, are also important for inventory classification [21,33,36].”
Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) (2015, methodology): “The example that we utilize for illustrating the proposed method has been considered by many researchers in the past (Ramanathan, 2006; Ng, 2007; Zhou and Fan, 2007; Hadi-Vencheh, 2010; Chen, 2011a, 2011b; Hatefi and Torabi, 2015).”
COMPARATIVE ANALYSIS OF AHP AND FUZZY AHP M ODELS FOR M ULTICRITERIA INVENTORY CLASSIFICATION (2011, methodology): “Ramanathan (2006) proposed a weighted linear optimization model for multiple criteria ABC inventory classification, where performance score of each item obtained using a Data Envelopment Analysis (DEA)-like model.”
ABC Classification: Service Levels and Inventory Costs (2009, background): “However, a number of authors (Buzacott 1999; Chen et al. 2008; Ernst and Cohen 1990; Flores and Whybark 1987; Ng 2007; Partovi and Burton 1992; Ramanathan 2006; Zhou and Fan 2007) have considered the use of multiple criteria, such as the certainty of supply, the rate of obsolescence, the lead time,…”