Facility layout using weighted association rule-based data mining algorithms: Evaluation with simulation

This thesis addresses facility layout problem. Facility layout has considerable effects on the operational productivity and efficiency of a facility because of its direct effect on material handling costs. The objective of this study is to propose new weighted association rule based-data mining approaches for facility layout problem. Classic association rule-based approaches assume that each item has the same level of significance. On the other hand, in weighted association rule-based approaches, each item is assigned a weight according to its significance with respect to some user defined criteria.In this study, different weighted association rule-based data mining approaches, namely MINWAL(O), MINWAL(W), WARM and BWARM, are applied to the facility layout problem. To address the needs in practice, ?demand?, ?part handling factor? and ?efficiency of material handling equipment? are used as the weighting criteria. Then, this study differs from the previous works in that it considers the three key location factors together. Also, this is the first study that applies weighted association rule-based data mining approaches to the facility layout problem. To confirm the viability of the proposed approaches, two case studies are presented. The approaches are compared in terms of general performance criteria for the facility layout problems using simulation.