Enhancing multi-criteria inventory classification: Resolving boundary issues with VIKOR-Fuzzy Sorting
针对VIKORSort方法分类边界僵化的问题，引入模糊集理论重新定义边界，用梯形模糊隶属函数给出每个备选方案属于各类的百分比，实现更平滑的分类过渡。基于纺织业4799种备件的库存数据，在补货点策略和目标周期服务水平约束下评估性能，发现模糊方法在成本效率和灵活性上均优于传统方法。
This study addresses the limitations of rigid classification boundaries in the VIKORSort method, a variant of the VIKOR multi criteria decision making approach, by incorporating fuzzy set theory to enhance classification flexibility and improve decision making effectiveness. The proposed method redefines the crisp boundaries of VIKORSort using fuzzy set theory with a trapezoidal fuzzy membership function, which gives the percentage of belonging to each class for each alternative. This enables smoother transitions between predefined classes and offering a more nuanced representation of alternatives’ characteristics. An empirical investigation evaluates the inventory performance of the fuzzy and non-fuzzy variants of VIKORSort, using data from a central warehouse managing 4799 spare parts in the textile industry. Inventory performance is analyzed under a reorder point inventory control policy and a target Cycle Service Level (CSL) constraint. Three CSL scenarios are considered to calculate the costs associated with the classification approaches. The results reveal that the proposed VIKOR-Fuzzy Sorting method outperforms the conventional approach in both cost efficiency and flexibility. In addition to providing a more precise depiction of alternatives near classification boundaries, the fuzzy method enables more effective assignment of target service levels in inventory management. This study thus offers practitioners a robust solution for addressing complex sorting challenges, particularly in inventory systems, by resolving boundary issues inherent in traditional approaches. Additionally, this approach enables businesses to develop more effective service level policies, enhancing overall operational performance. • Fuzzy boundaries aid smooth transitions between predefined classes more than crisp. • Classification of inventory according to inherent characteristics. • VIKOR excels in compromise under conflicting criteria versus other MCDM.