An Integrated Fuzzy PIPRECIA-AROMAN-M Model for Analyzing the Delivery Location Problem

To ensure the proper delivery of goods to the end user, it is necessary to overcome a number of challenges and obstacles. To optimize transport routes, strengthen customer relationships, and enhance customer satisfaction, timely last-mile delivery plays a crucial role. To achieve various benefits in urban areas, the trend of installing parcel lockers at optimal locations has emerged, which is the focus of this paper. The location problem of the Zvornik distribution center for the X Express company was considered based on seven locations and seven criteria. The applied methodology involves the integration of Fuzzy PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) and Alternative Ranking Order Method Accounting for two-step Normalization Modified (AROMAN-M) for assessing the values of the criteria and ranking the locations. The results obtained indicate three locations as the most suitable for parcel locker installation, taking into account both the preferences of decision-makers and the territorial structure of the distribution center.