REFRIGERATED TRUCK VENDOR SELECTION: A MATHEMATICAL MODELLING APPROACH

Abstract

Facing the post-Covid-19 pandemic era, food companies are starting to received orders for their products from various regions in Indonesia, this is because food is a basic need, therefore when public activities outside are allowed, food products have an increase in demand. One of the important processes is the distributing goods from producers to consumers. This research was conducted on a food company whose products must be stored in the range of 5-10 degrees celsius. Indonesia is an archipelagic country where each region has different road characteristics, accordingly it is essential for companies to select reliable refrigerated truck vendors. This study aims to prove whether the mathematical approach can be used to a refrigerated truck vendor by predicting their performance according to the company's needs. At the end of the research, the assessed vendors will be divided into two categories, namely efficient vendors who will be retained and inefficient vendors who will be fostered or replaced with other vendors.