OPERATIONAL OPTIMIZATION PRACTICES AND LOGISTICS PERFORMANCE IN KENYA: A CASE STUDY OF KENYA PORTS AUTHORITY, MOMBASA COUNTY.

Abstract

The aim of the study is to explore the consequence of operational optimization acts on logistics success at Kenya Ports Authority. The investigation also sought to examine the effect of demand forecasting, inventory optimization, transportation optimization and automation integration on Logistics Performance at Kenya Ports Authority. The research will be grounded on Economic Order Quantity (EOQ), Technology Acceptance Model, and Collaborative Planning, Forecasting, and Replenishment theories. Expressive review investigate plan will be used for the study. The researcher targeted 620 employees from the Operations Division for the operations at Kenya Ports Authority. Fishers et al., (1998) method was utilized to arrive at an example scope of 96 participants. Stratified random sampling method of collecting data will be employed. The survey would involve questionnaires. For the pilot study, the researcher will distribute 10 questionnaires drawn from Kenya Ports Authority from which individuals will be chosen using simple random sampling technique. The 10 individuals selected shall not take part in the main study. The data will be edited, coded, classified, and tabulated. Finally, the data will be analyzed using SPSS version 25 statistical software. The extracted data will be quantified and tabulated to make it easier to interpret. The study will be beneficial to various stakeholders who will include port authorities and management, government and policymakers, logistics companies and freight forwarders, trade and industry associations and academic and research.