Improving Perfect Orders at a Freight Transportation SME through Process Management, Autonomous Maintenance, Working Methodology and Demand Forecast

Abstract

Small and Medium-sized Enterprises (SME) in the transportation industry represent 91.5% of the existing companies in Peru. This paper discusses low efficiency rates of the Perfect Order since this value is 41.93% below the optimal value of 90% for these companies. The proposed solution model combines the Autonomous Maintenance, Forecasting Method, Working Methodology, and Process Management tools. During the Literature Review, an information gap was found with respect to studies focusing on this problem, as well as other existing problems in the industry. In addition, this paper combines four tools against other authors who have only combined two. The validation of this model is conducted by simulating the implementation of these four tools. The results reveal a 15% increase in Perfect Order efficiency, as well as an 8.95% reduction in costs.