Francesco Ferrucci Knihy

Focusing on the Real-time Distribution of Perishable Goods, this book introduces three significant contributions to transportation processes. It develops a model aimed at minimizing customer inconvenience and proposes a proactive real-time control method that utilizes stochastic knowledge from past requests to optimize vehicle routing. Additionally, it presents a metric for assessing the quality of request data sets and introduces a method to limit driver inconvenience caused by en-route diversions, enhancing overall operational efficiency.

This book deals with transportation processes denoted as the Real-time Distribution of Perishable Goods (RDOPG). The book presents three contributions that are made to the field of transportation. First, a model considering the minimization of customer inconvenience is formulated. Second, a pro-active real-time control approach is proposed. Stochastic knowledge is generated from past request information by a new forecasting approach and is used in the pro-active approach to guide vehicles to request-likely areas before real requests arrive there. Various computational results are presented to show that in many cases the pro-active approach is able to achieve significantly improved results. Moreover, a measure for determining the structural quality of request data sets is also proposed. The third contribution of this book is a method that is presented for considering driver inconvenience aspects which arise from vehicle en-route diversion activities. Specifically, this method makes it possible to restrict the number of performed vehicle en-route diversion activities.