Optimization of the Financing of the Raw Material Inventories: Case Study

Research Question: Optimal financing of the raw material inventories in the copper processing industry is perceived as a problem of choosing the financing sources and determining the purchase dynamics. Motivation: The company can realize the financing of raw material inventories from multiple source...

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Main Authors: Kristina Stanojević, Dragana Makajić-Nikolić, Goran Radovanović
Format: Article
Language:English
Published: University of Belgrade, Faculty of Organisational Sciences 2021-02-01
Series:Management
Online Access:http://management.fon.bg.ac.rs/index.php/mng/article/view/374
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spelling doaj-7c67fe6761d14cb28c6a19a727b080282021-05-05T08:02:21ZengUniversity of Belgrade, Faculty of Organisational SciencesManagement1820-02222406-06582021-02-01261253410.7595/management.fon.2021.0005374Optimization of the Financing of the Raw Material Inventories: Case StudyKristina Stanojević0Dragana Makajić-Nikolić1Goran Radovanović2University of Belgrade, Faculty of Organizational Sciences, SerbiaUniversity of Belgrade, Faculty of Organizational Sciences, SerbiaMinistry of Defence, University of Defence Belgrade, SerbiaResearch Question: Optimal financing of the raw material inventories in the copper processing industry is perceived as a problem of choosing the financing sources and determining the purchase dynamics. Motivation: The company can realize the financing of raw material inventories from multiple sources under various conditions. The company efforts should be aimed at reducing the total costs that can occur in the process of purchase. Each company should simultaneously strive to satisfy the demand, but also to avoid keeping the excess of cash assets in inventories. Idea: The core idea of this paper is to evaluate the optimal financing of raw material inventories by the usage of the mathematical model that refers to the determination of financing sources, from which the required assets should be borrowed. Data: For the purpose of the case study example, the data used in the paper are approximations of information from the company and metal stock exchange. Tools: Excel was used to predict demand, while GLPK programme (GNU Linear Programming Kit) was used for the optimization of the defined model. Findings: The paper defines an optimization problem for determination of the financial sources, optimal periods, and the number of assets that will be used from these sources to secure continuity of the production process with minimum purchase costs. The paper also formulates a mathematical model of this problem and then illustrates it on the example of the real-life company for copper processing. Contribution: The results of this study show that such analysis gives the decision-makers a better insight into the possible scenarios while the final decision depends on their assessment, flexibility, attitude towards risk, need for security, etc.http://management.fon.bg.ac.rs/index.php/mng/article/view/374
collection DOAJ
language English
format Article
sources DOAJ
author Kristina Stanojević
Dragana Makajić-Nikolić
Goran Radovanović
spellingShingle Kristina Stanojević
Dragana Makajić-Nikolić
Goran Radovanović
Optimization of the Financing of the Raw Material Inventories: Case Study
Management
author_facet Kristina Stanojević
Dragana Makajić-Nikolić
Goran Radovanović
author_sort Kristina Stanojević
title Optimization of the Financing of the Raw Material Inventories: Case Study
title_short Optimization of the Financing of the Raw Material Inventories: Case Study
title_full Optimization of the Financing of the Raw Material Inventories: Case Study
title_fullStr Optimization of the Financing of the Raw Material Inventories: Case Study
title_full_unstemmed Optimization of the Financing of the Raw Material Inventories: Case Study
title_sort optimization of the financing of the raw material inventories: case study
publisher University of Belgrade, Faculty of Organisational Sciences
series Management
issn 1820-0222
2406-0658
publishDate 2021-02-01
description Research Question: Optimal financing of the raw material inventories in the copper processing industry is perceived as a problem of choosing the financing sources and determining the purchase dynamics. Motivation: The company can realize the financing of raw material inventories from multiple sources under various conditions. The company efforts should be aimed at reducing the total costs that can occur in the process of purchase. Each company should simultaneously strive to satisfy the demand, but also to avoid keeping the excess of cash assets in inventories. Idea: The core idea of this paper is to evaluate the optimal financing of raw material inventories by the usage of the mathematical model that refers to the determination of financing sources, from which the required assets should be borrowed. Data: For the purpose of the case study example, the data used in the paper are approximations of information from the company and metal stock exchange. Tools: Excel was used to predict demand, while GLPK programme (GNU Linear Programming Kit) was used for the optimization of the defined model. Findings: The paper defines an optimization problem for determination of the financial sources, optimal periods, and the number of assets that will be used from these sources to secure continuity of the production process with minimum purchase costs. The paper also formulates a mathematical model of this problem and then illustrates it on the example of the real-life company for copper processing. Contribution: The results of this study show that such analysis gives the decision-makers a better insight into the possible scenarios while the final decision depends on their assessment, flexibility, attitude towards risk, need for security, etc.
url http://management.fon.bg.ac.rs/index.php/mng/article/view/374
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AT draganamakajicnikolic optimizationofthefinancingoftherawmaterialinventoriescasestudy
AT goranradovanovic optimizationofthefinancingoftherawmaterialinventoriescasestudy
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