Abstract

Servicing a large number of customers in a city zone is often a part of many logistics chains. The capacity of one delivery vehicle is limited, and at the same time, it usually serves a large number of customers. These problems are NP hard and often called a Street Routing Problem (SRP). Problems of this category are similar to the problems named as Vehicle Routing Problem (VRP). In this paper, these problems are explored and potential solution paths for their management are described. As presented in the paper, the management of street routing problems could be effectively done only by using decision support systems or other informatics systems, such as Geographical Information Systems (GIS).

Highlights

  • Street Routing Problems (SRP) as a problem of servicing a large number of customers in a city zone is often a part of many logistics chains

  • There is a special case of Arc Routing Problems (ARP) called the Capacitated Arc Routing Problem (CARP) [3], [1]

  • Paper summarizes the management of street routing problems

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Summary

Introduction

Street Routing Problems (SRP) as a problem of servicing a large number of customers in a city zone is often a part of many logistics chains. The main problem of SRP is that the number of customers is large and the number of delivery path combinations is enormous. It is not possible for a human to explore even a fragment of all these combinations. As the experimental results show in the case of SRP, the error on the length of delivery routes based on an expert’s judgment when compared to optimal solution is in the range of 10 % – 25 %. Dispatchers could communicate with the drivers of the service vehicles only using radio stations Nowadays, they can use other technologies, such as mobile phones, palmtops connected to the wireless internet, and GPS together with GIS map databases. In these days they could assign jobs for each vehicle, even outside of the dispatching center, as well as help navigate the driver in an unknown area

Solution of SRP using VRP techniques
VIII IX X XI XII
Customer aggregation
Transformation of Arc Routing Problems to Node Routing Problems
Interactive methods and decisions support systems
Conclusion
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