Proceedings of the 17th International Academic Conference, Vienna

DAMAGE ASSESSMENT ANALYSIS FOR A LOGISTICS COMPANY BY USING DATA MINING TOOLS: AN APPLICATION IN TURKEY

UMMAN TUGBA GURSOY, ÖZLEM AKCAY KASAPOGLU, ÖZLEM ÖGRETİCİ

Abstract:

This study is conducted using the data of a Logistics Company which operates in Turkey. The company aims to analyze the problems faced by the damage or loss in the physical distribution process and also wants to determine the source of the problems. According to the analysis’ results it is aimed to improve the quality of services in the Logistics Company. Data set consists of 56 variables and 3245 records. Data acquired either from automation system, delivery of documents, bills and customers’ damaged or lost invoices. The automation system provides information about goods, customers, region, shipping information, vehicles, time, transfer centers, delivery status, damage assessment date. The damage or losses may cause decrease of the quality of service. This also affects the reputation of the company. Therefore, examining the errors that cause these problems and taking preventive measures are very important. In this study data mining tools were used to identify the problems.

Keywords: Damage Assessment, Logistics, Data mining.

DOI: 10.20472/IAC.2015.017.030

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