Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry

2019 ◽  
pp. 99-131
Author(s):  
Pranav G. Charkha ◽  
Santosh B. Jaju
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Performance Measurement ◽  
Support System ◽  
Textile Industry ◽  
Supply Chain Performance

Generic decision support system to leverage supply chain performance (GLE) for SMEs in Thailand

2017 ◽  
Vol 28 (6) ◽  
pp. 737-748 ◽  
Author(s):  
Ganda Boonsothonsatit
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cycle Time ◽  
Supply Chain Performance ◽  
Pareto Optimal ◽  
Average Order ◽  
Trade Off ◽  
Content Type

Purpose This paper explains the development stages of a generic decision support system to leverage supply chain performance (GLE). The purpose of this paper is to identify and trade off the critical supply chain measures which are interrelated and in contradiction with each other. Design/methodology/approach The GLE was developed as an extension of the supply chain performance assessment tool proposed by Banomyong and Supatn (2011). It contained nine measures covering key activities along the supply chain under dimensions of cost, time and reliability. Their interrelations were figured out by causal linkages, whereas their contradictions were traded off as multi-objective optimization. It is solved using fuzzy goal programming along with a weighted max-min operator in order to acquire the Pareto-optimal solution. Findings The results from the GLE showed there were two critical supply chain measures including supply chain cost per sales and average order cycle time. They contradictorily influenced by a root-cause, namely product lot size. Its Pareto-optimal value was provided to achieve the minimized values of supply chain cost per sales and average order cycle time which were consistent with their relative weights. Research limitations/implications As generic features, the GLE needs further validation in several industries under various supply chain strategies. The further validation may contribute the GLE to include multiple decision variables, multiple types of product and multiple periods of time. In addition, the GLE may consider a dimensional measure of environmental impact along the supply chain activities. Originality/value The GLE is a unique decision support system to identify and trade off the critical, interrelated and contradicting supply chain measures. More uniqueness is obtained when the GLE offers an option of inputting a set of relative weights for the interrelated supply chain measures.

A reliable decision support system for fresh food supply chain management

2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Support System ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Fresh Food

scholarly journals A hybrid decision support system for analyzing challenges of the agricultural supply chain

2019 ◽  
Vol 18 ◽  
pp. 19-32 ◽  
Author(s):  
Bhaskar B. Gardas ◽  
Rakesh D. Raut ◽  
Naoufel Cheikhrouhou ◽  
Balkrishna E. Narkhede
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Agricultural Supply

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.

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