Solving multitrip vehicle routing under order incompatibilities: A VRP arising in supply chain management

Networks ◽  
2014 ◽  
Vol 64 (1) ◽  
pp. 29-39 ◽  
Author(s):  
Ulrich Derigs ◽  
Markus Pullmann
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Vehicle Routing ◽  
Chain Management

Decision Support System for Real Time Vehicle Routing in Indian Dairy Industry: A Case Study

2013 ◽  
Vol 6 (4) ◽  
pp. 77-101 ◽  
Author(s):  
R. A. Malairajan ◽  
K. Ganesh ◽  
M. Punnniyamoorthy ◽  
S. P. Anbuudayasankar
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Vehicle Routing ◽  
Support System ◽  
Distribution System ◽  
Physical Distribution ◽  
Chain Management ◽  
Distribution Logistics

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.

scholarly journals Logistics and Supply Chain Management Efficiency Strategy for Ghana’s Mining Industry

2021 ◽  
Vol 6 (2) ◽  
pp. 193-202
Author(s):  
Qu Yaping ◽  
Mary Bossman
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Mining Industry ◽  
Transport Cost ◽  
Mining Operations ◽  
Routing Problem ◽  
Chain Management ◽  
Transport Services

The invaluable contribution of the mining industry in any country’s economy is widely acclaimed and thus not far-fetched. In as much as the mining industry contributes hugely to economic and social growth, its operations are characterized by complex supply chain processes that are relatively capital and cost intensive, and technologically sophisticated to manage. Unfortunately, firms in the mining industry especially for developing countries tend to focus more on procuring modernized equipment and technologies to carry out the complex processes of mining operations to the detriment of applying logistics optimization models. This research project therefore seeks to analyze the logistics and supply chain operations of mining companies in Ghana, identify the challenges and inefficiencies associated with these operations and their underlying causes, and recommend logistics and supply chain management design, modelling and analysis tools to optimize. With the help of secondary data collected from books, journals, which were further depicted in graphs and tables, the Microsoft Excel Solvers for Vehicle Routing Problem (VRP, Version 3.42), with an embedded Bing Map Key License was used to illustrate and derive optimal solutions for the transportation efficiency of mining firms in Ghana. The study revealed that the mining industry in Ghana is confronted with supply chain issues like poor road networks in mining communities, variable lead time and exchange rate, strict governmental laws, violent clashes over land royalties, high transport cost due to bad roads, unreliable lead times (caused by port delays), unavailability of local suppliers of international standards, and policy restrictions as the main challenges to supply chain. Clearly, the policy implication emanating from this study is that mining firms in partnership with transport services firms in Ghana must adopt an efficient service delivery and optimal transportation cost reduction strategies, which is designed with the Vehicle Routing Problem Optimization Model in order to benefit mutually in gaining competitive advantage.

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