The changing landscape of supply chain management, marketing channels of distribution, logistics and purchasing

2006 ◽  
Vol 21 (7) ◽  
pp. 428-438 ◽  
Author(s):  
Gregory T. Gundlach ◽  
Yemisi A. Bolumole ◽  
Reham A. Eltantawy ◽  
Robert Frankel
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Marketing Channels ◽  
Chain Management ◽  
Channels Of Distribution ◽  
Distribution Logistics

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 Analysis of Supply Chain Management of Lobster (Panulirus spp.) In Pangandaran (Case Study of PT. ASI Pudjiastuti Marine Product)

2021 ◽  
pp. 9-19
Author(s):  
Alfath Dhary ◽  
Atikah Nurhayati ◽  
. Junianto ◽  
Iwang Gumilar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Secondary Data ◽  
Chain Condition ◽  
Marketing Channels ◽  
Snowball Sampling ◽  
Chain Management ◽  
A Value ◽  
Marine Product

This study aims to analyze supply chain management of lobster in Pangandaran especially PT. ASI Pudjiastuti Marine Product. The research method is a case study with the case unit at PT. ASI Pudjiastuti Marine Product while information would be collected through primary and secondary data in the field. The sampling method in this research used snowball sampling. The research was conducted from August 2020 - September at TPI Pangandaran and PT. ASI Pudjiastuti Marine Product. The criteria used to select respondents in this study as follow; 4 fishermen, 3 distributors, 2 employees of PT. ASI Pudjiastuti Marine Product and 1 retailer. And the data would be analyzed to get the supply chain condition of lobster. The results showed that there were 6 marketing channels in the supply chain of lobster in Pangadaran case study of PT. ASI Pudjiastuti Marine Product. The availability of lobster products has a value of 0.5 which means was not easily replaced and needed. Late payment and distribution of lobster have a value of 1.0 which means irreplaceable and important. The third and fourth chain marketing margins are below 50%, which means efficient for all members of the chain. The fifth chain has 46.55% and it’s inefficient Fisherman's share. The largest market share value was 46.40% on the fifth channel. Supply chain of lobster in Pangandaran has 6 marketing channels which third and fourth are the most efficient for all members, and the second is most profitable for PT ASI.

The Role of Marketing Channels in Supply Chain Management

2015 ◽  
Vol 91 (4) ◽  
pp. 586-609 ◽  
Author(s):  
Irina V. Kozlenkova ◽  
G. Tomas M. Hult ◽  
Donald J. Lund ◽  
Jeannette A. Mena ◽  
Pinar Kekec
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Marketing Channels ◽  
Chain Management

scholarly journals Marketing Efficiency In Rice Commodity Supply Chain Management In Kalukku District, West Sulawesi Province

2021 ◽  
Vol 921 (1) ◽  
pp. 012089
Author(s):  
S A Said ◽  
R Darma ◽  
A N Tenriawaru
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Sampling Method ◽  
Marketing Channel ◽  
Performance Measure ◽  
Marketing Channels ◽  
Snowball Sampling ◽  
Chain Management ◽  
Marketing Efficiency ◽  
Farmer Groups

Abstract The market performance measure that is often used is efficiency in marketing. Marketing efficiency can be improved by applying the concept of supply chain management in agriculture. This study aims to analyze the efficiency of marketing in rice supply chain management. The research was conducted in August 2018 in Kalukku District, Mamuju Regency. The sampling method was carried out by purposive sampling, obtained as many as 8 farmers with the criteria of owner or confinement farmers who have farming experience and several farmers who serve as heads and members of farmer groups, where information on farmers, it is known that the flow of products that involve other marketing agencies is also used. respondents in this study were determined by snowball sampling. Data analysis used is marketing efficiency analysis. The results showed that there were 3 rice marketing channels in Kalukku District, Mamuju Regency. The marketing channel has been efficient, where in supply chain channel 1 with an efficiency level of 12.9%, on marketing channel 2 with an efficiency level of 12.2%, and marketing channel 3 with an efficiency level of 13.2%.

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