International Journal of Engineering in Computer Science

P-ISSN: 2663-3582, E-ISSN: 2663-3590
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2022, Vol. 4, Issue 1, Part A

Reliability checking and performance analysis of stake holder of E-SCM using machine learning and petrinets


Author(s): Sayyed Johar and Dr. Samara Mubeen

Abstract: Electronic commerce or E-commerce (sometimes written as E-commerce) is a business model that lets firms and individuals buy and sell things over the internet.E-commerce provides the sellers with a global reach. They remove the barrier of place. Now sellers and buyers can meet in the virtual world, without the hindrance of location.Supply chain management is coordination of all supply activities of an organization from its suppliers and partners to its customers efficiently and effectively. Electronic supply chain management (E-SCM) is collaborative use of technology to improve the operations of supply chain activities as well as the management of supply chains. The advantages of E-SCM are many, and include timely order-processing, improved inventory tracking and management, improved accuracy in order fulfillment. But which E-SCM is a reliable one is a bothering question of a customer. The customer is the most important and integral part of the supply chain. Neglecting the customer in this chain can cause breakdown of the entire process.The electronic supply chain provides retailers and their suppliers a medium for instant communication. But can a customer rely on a paticular retailer and can the customer expect his product on time. This reliability can be checked by using Bayesian appoach. Then petrinet is used to check the performance of retailers, manufacturers and suppliers and find out when the product will reach the customer through this E-SCM. Using web design tools a webpage is created to give information about supplier. The given information is checked in the background for its authenticity. Later the delivery details will be sent to customer only if information is authentic. This will benefit the customers from fraud sites and help them find a reliable retailer and improves reliability of customer on retailer. Also helps customers in taking decision to place the orders. If order is placed then predicts the number of days taken to deliver that product to customer. Therefore helping the customer to keep track of the order. Hence overall satisfaction of the customer is improved.

DOI: 10.33545/26633582.2022.v4.i1a.59

Pages: 15-25 | Views: 675 | Downloads: 347

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International Journal of Engineering in Computer Science
How to cite this article:
Sayyed Johar, Dr. Samara Mubeen. Reliability checking and performance analysis of stake holder of E-SCM using machine learning and petrinets. Int J Eng Comput Sci 2022;4(1):15-25. DOI: 10.33545/26633582.2022.v4.i1a.59
International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science
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