scholarly journals Developing green supply chain management taxonomy-based decision support system

2014 ◽  
Vol 53 (21) ◽  
pp. 6372-6389 ◽  
Author(s):  
V. Kumar ◽  
D. Holt ◽  
A. Ghobadian ◽  
J.A. Garza-Reyes
2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni

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.


2013 ◽  
Vol 4 (2) ◽  
pp. 24-37 ◽  
Author(s):  
Rika Ampuh Hadiguna

Sustainable supply chain management (s-SCM) requires a practice tool to assess performance that able to measure, evaluate and improve the existing operations of supply chain. The research question is how to build a decision support system (DSS) for performance assessment of s-SCM. The author has designed a DSS for performance assessment of s-SCM. There are some elements in designed DSS namely existing achievement, standards, indicators achievement and priority, computation algorithm, and recommendation for improvement. Theoretical contribution of this study is the development of relationship between total and partial performance in mathematical formulation. The model that has been presented is still using generic indicators. If the particular company would like to apply model that additional indicators should change the encoding computer program. However, the modification is very easy to perform. DSS structure of this study is still able to accommodate any kind of particular requirement.


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