A model-based decision support system for solving vehicle routing and driver scheduling problems under hours of service regulations

Author(s):  
Hokey Min ◽  
Emanuel Melachrinoudis
1994 ◽  
Vol 79 (2) ◽  
pp. 158-166 ◽  
Author(s):  
A.T.M. Aerts ◽  
A. Jansen ◽  
L. Klieb ◽  
C. Noorlander ◽  
G. Wolf

Author(s):  
R. A. Malairajan ◽  
K. Ganesh ◽  
M. Punnniyamoorthy ◽  
S. P. Anbuudayasankar

In today’s highly competitive and demanding environment, the pressure on both public and private organizations is to achieve a better way to deliver values to end customers. There has been a growing recognition that the two goals, cost reduction and customer service are achieved through Logistics and Supply Chain Management (SCM). Transportation of goods continues an important part of in-bound as well as outbound logistics of Supply Chain Management (SCM). Efficient distribution of goods and services is of great importance in today’s competitive market, because transportation constitutes a considerable portion of the purchase price of most products or services. Vehicle routing is considered as an important resource in a distribution logistics management system. Effective plan and control of vehicle operation can significantly reduce the cost of physical distribution system. To overcome the challenges of changing environment, the scheme of vehicle control of a physical distribution system should be dynamic. Thus India has become the top milk producing country in the world. This study addresses the vehicle routing aspect of distribution logistics in Sangam dairy supply chain of Guntur district in Andhra Pradesh. The problem is viewed as Vehicle Routing Problem with Backhauls (VRPB) and a mathematical model is developed with the consideration of various practical constraints. Moreover, a decision support system is developed for dynamic VRPB, which would help the manager in making operational and tactical decisions.


2007 ◽  
Vol 18 (1) ◽  
pp. 56-79
Author(s):  
Hokey Min ◽  
Hyun-Jeung Ko ◽  
Chin-Soo Lin

With the unprecedented growth of international trade, a growing number of multinational firms have coped with logistical challenges of shipping products to and from unfamiliar territories in many countries. These logistical challenges include the cross-border transportation of products originated from inland port to another inland port isolated from major waterways. In particular, the lack of access to major waterways would not only constrain the intermodal transportation option, but also make door-to-door, containerized delivery services nearly impossible. Such a limited option would eventually lead to increased transportation costs and transit time, and thereby offset low-cost global sourcing advantages. To aid multinational firms in addressing the problem of determining the optimal supply chain link between inland origin and destinations ports, this article proposes a shortest-path model based decision support system. The usefulness of the proposed model-based decision support system was validated by its application to a real problem encountered by a multinational firm that would like to strengthen its foothold in the Chinese market.


Author(s):  
Yizi Zhou ◽  
Anne Liret ◽  
Jiyin Liu ◽  
Emmanuel Ferreyra ◽  
Rupal Rana ◽  
...  

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