Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 15, 2023


Pages

2195-2208


DOI

Article

Study of Enterprise Resource Optimization Scheme from the Perspective of Knapsack Problems


Authors

Ji’an Yu Affiliation:
School of Economics and Management, Beijing Forestry University. Beijing 100083 P.R.China
and Zhe Chen Affiliation:
Investment Banking Department, Essence Securities Co., Ltd. Beijing 100034 P.R.China


Abstract

Enterprise competitiveness is based on resource optimization, which can be considered a knapsack problem with resource constraints at both an enterprise level and some specific-resource level. Modeling an enterprise from a resource-based perspective, in this article, a Mathematical Modeling based on a knapsack problem is built to analyze the optimization of enterprise resources that are inside and outside of the enterprise, and the basic genetic algorithm is applied to solve the optimization in the knapsack problem of enterprise resource optimization. Enterprise resource optimization schemes from the perspective of knapsack problems, help allocate and make full use of resources and form different capabilities, to realize the corporate strategy.


Keywords

Enterprise Resource Optimization, Knapsack Problem, Resource Constraint, 90B50


Citation

Yu, J. & Chen, Z. (2023). Study of enterprise resource optimization scheme from the perspective of knapsack problems. Applied Mathematics and Nonlinear Sciences, 8(1), 2195–2208. https://doi.org/10.2478/amns.2023.1.00405

Published by: Engineering Journals

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