Factors Influencing the lead time of chicken transportation

Abstract

The paper's purpose is to analyze thirteen variables behind the inappropriate lead time of chicken transportation and determine the factors affecting this distribution. Data, using the snowball sampling method, included 264 questionnaires collected from chicken truck drivers. First, we use the principal component analysis (PCA) to identify the factors contributing to the longest delivery time. We find through PCA that all the variables analyzed take part significantly in the transport time. The most important factors were Connectivity, Resources, Verification & Frisking, Road, and Planning. Improving these factors will optimize the lead time of transport, consequently; improving profitability and animal welfare and quality. The findings are useful to production companies of any fresh products looking to improve their delivery time and increase more benefits.