Classifying ABC Inventory with Multicriteria Using a Data Envelopment Analysis Approach
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Prioritization of organizational capital measurement indicators using fuzzy AHP
International Journal of Approximate Reasoning
A case-based distance model for multiple criteria ABC analysis
Computers and Operations Research
ABC inventory classification with multiple-criteria using weighted linear optimization
Computers and Operations Research
Multi-criteria ABC analysis using artificial-intelligence-based classification techniques
Expert Systems with Applications: An International Journal
Multiple criteria inventory classification based on principal components analysis and neural network
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Management of multicriteria inventory classification
Mathematical and Computer Modelling: An International Journal
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Productivity improvement is posing a great challenge for industries every day because of the difficulties in keeping track and prioritising the variables that have significant impact on productivity. Therefore, this research aims to address this challenge by defining different attributes that play pivotal role on productivity from the management perspective. It illustrates a framework to quantify and analyse the relative relevance of different decision factors and measures its effectiveness on production floor. Analytic Hierarchy Process AHP and Fuzzy Analytic Hierarchy Process FAHP are employed to deal with interdependent relationships and a multi-criteria decision-making model is developed. Large unstructured decision parameters are identified and broken down into a top-down hierarchical structure. The contribution of this research is demonstrating how a set of influencing parameters can be used to devise appropriate management practices to ensure higher productivity.