Academic Journals Database
Disseminating quality controlled scientific knowledge

Evaluation of Operational Quality of a Supply Chain Using Genetic Algorithm

Author(s): Purvendu Sharma1 , Dr.Nagendra Sohani

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 5;
Start page: 2113;
Date: 2013;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Supply Chain Management (SCM) | Genetic Algorithm (GA) | Performance Matrix | Operational Parameters.

- The paper seeks to evaluate the impact of various Operational parameters (For ex. Design Quality, Supplier’s Quality etc ) practices within a Supply chain. A Performance Matrix (in the form of graphical user interface (GUI)) is then prepared andmarking are inserted for each and every parameters so judged. Based upon the marking so obtained various parameters are scrutinized and evaluated using Genetic Algorithm .This not only helps managers in evaluating SCM performance in an optimized manner but also helps in various decision making process by means of a reference so created by the Performance Matrix. Also with the help of Performance matrix various domains of SCM are scanned and thus they are also ranked accordingly. All those parameters which were less performing or which were not confirming up to the desired level (which hampers the performance and affects adversely a Supply Chain ) are dropped down or they are subjected to further improvement. Thus one is able to figure out an Optimized solution, helps in better decision making process, helps in improving the performance of a Supply Chain, find out less performing domains, weaker areas which are not confirming up to the desired level of satisfaction or hinders the performance of a Supply Chain, ranking based upon the marking ( being inserted in the performance matrix either manually or survey based).The concept of Genetic Algorithm helps in optimization by evaluating the parameters step by step thus the job gets eased

Tango Rapperswil
Tango Rapperswil

     Affiliate Program