Open Access

ARTICLE

An Optimized Method for Accounting Information in Logistic Systems

by Ahmad Mohammed Alamri¹, Ahmad Ali AlZubi^2,*

1 Administrative Sciences Department, Community College, King Saud University, Riyadh, Saudi Arabia
2 Computer Science Department, Community College, King Saud University, P.O. Box 28095, Riyadh, 11437, Saudi Arabia

* Corresponding Author: Ahmad Ali AlZubi. Email:

Computer Systems Science and Engineering 2023, 45(2), 1595-1609. https://doi.org/10.32604/csse.2023.027971

Received 30 January 2022; Accepted 06 March 2022; Issue published 03 November 2022

Abstract

In the era of rapid information development, with the popularity of computers, the advancement of science and technology, and the ongoing expansion of IT technology and business, the enterprise resource planning (ERP) system has evolved into a platform and a guarantee for the fulfilment of company management procedures after long-term operations. Because of developments in information technology, most manual accounting procedures are being replaced by computerized Accounting Information Systems (AIS), which are quicker and more accurate. The primary factors influencing the decisions of logistics firm trading parties are investigated in order to enhance the design of decision-supporting modules and to improve the performance of logistics enterprises through AIS. This paper proposed a novel approach to calculate the weights of each information element in order to establish their important degree. The main purpose of this research is to present a quantitative analytic approach for determining the important information of logistics business collaboration response. Furthermore, the idea of total orders and the significant degrees stated above are used to identify the optimal order of all information elements. Using the three ways of marginal revenue, marginal cost, and business matching degree, the information with cumulative weights is which is deployed to form the data from the intersection of the best order. It has the ability to drastically reduce the time and effort required to create a logistics business control/decision-making system.

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Keywords

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