Integrated classification methods for spare parts : A case study on a mass production factory

Abstract: Inventory management is a complex system which involves different stakeholders from multiple areas in a company which creates a limitation when seeking information between involved staff. Having the right procedure of tracking regular and critical spare parts will give a better control and efficiency in the production process. It is important to have the right classification method to facilitate critical spare parts. The incorrect criteria classification can be achieved in case inventory management have the wrong systematic procedure. Classification methods have different purposes and achieve the highest utilization by combining a variety of methods. By integrating classification methods, set limits and combination of multiple criteria decision analysis can be performed. The study has conducted a case study to compare and evaluate the performance of inventory management in a trustworthy and efficient way. A theoretical framework is constructed with the intention on identify which classification methods can be combined and applied to a production factors criterion. Based on interviews with stakeholders from maintenance, warehouse, and production area related to spare parts and the company’s software system. Two perspectives were used to map the qualitative and quantitative measures. The results show 14 criteria were defined as parameters that measure the performance of criticality in spare parts. The conclusion of both perspectives suggests combining and implement an integration of AHP and ABC classification methods. A proof of concept is demonstrated on AHP analysis and ABC analysis to identify the critical spare parts and the criteria.