in: Computational Intelligence and Soft Computing Applications in Healthcare Management Science, Muhammed Gül,Erkan Çelik,Süleyman Mete,Faruk Serin, Editor, IGI global, Gaziantep, pp.121-157, 2020
Healthcare inventory management is a complex task which contains critical decision
phases. One of the efficient ways of healthcare inventory management is to classify
inventory items into predefined categories in terms of their significant features.
This chapter proposes a guideline to healthcare decision makers to implement
appropriate inventory control methods. The proposed method combines Fuzzy AHP
(Analytical Hierarchy Process), TOPSIS (Technique for Order of Preference by
Similarity to Ideal Solution) and ABC (Always Better Control) analysis methods to
determine the priority of inventory items. The corresponding method, which takes
into account multiple criteria in the classification of inventory items, cope with
the limits of the classical ABC method. It also helps to reduce the uncertainty in
the inventory classification problem as the proposed method is based on the fuzzy
logic approach. A real-life case study is conducted in a hospital laboratory to test
the proposed method.