MAXIMIZING THE PROFITABILITY ON INVESTMENT BY OPTIMIZING THE PRODUCTION PROGRAM

被引：0
作者：
Kadarova, Jaroslava [1 ]
Janekova, Jaroslava [1 ]
Onofrejova, Daniela [2 ]
机构：
[1] Tech Univ Kosice, Fac Mech Engn, Inst Management Ind & Digital Engn, Pk Komenskeho 9, Kosice 04200, Slovakia
[2] Tech Univ Kosice, Fac Mech Engn, Inst Special Engn Processol, Dept Safety & Prod Qual, Letna 9, Kosice 04200, Slovakia
来源：
MM SCIENCE JOURNAL | 2021年 / 2021卷
关键词：
Investment; investment decision-making; risk analysis; Net Present Value; production program;
D O I：
10.17973/MMSJ.2021_10_2021035
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Investments in tangible fixed assets significantly affect the future production capacity of the company, they are a stimulator of the company's development. At the same time, they are associated with a degree of uncertainty that needs to be taken into account when making investment decisions. The article presents an approach to optimizing inhomogeneous production in order to maximize the economic efficiency of a particular business investment. The economic efficiency of the investment is assessed comprehensively in terms of profitability, liquidity and risk. The risk is addressed through Monte Carlo simulation and the production program is optimized using OptQuest. The result is a production program that maximizes the return on the assessed corporate investment.
引用
收藏
页码：4913 / 4917
页数：5
相关论文
共 13 条
[1]   Risk assessment modeling of bio-based chemicals economics based on Monte-Carlo simulations [J].
Dheskali, Endrit ;
Koutinas, Apostolis A. ;
Kookos, Ioannis K. .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2020, 163 :273-280
[2]   Global optimisation of multi-plant manganese alloy production [J].
Digernes, Martin Naterstad ;
Rudi, Lars ;
Andersson, Henrik ;
Stalhane, Magnus ;
Wasbo, Stein O. ;
Knudsen, Brage Rugstad .
COMPUTERS & CHEMICAL ENGINEERING, 2018, 110 :78-92
[3]   THE APPLICATION OF SIMULATION MODEL OF A MILK RUN TO IDENTIFY THE OCCURRENCE OF FAILURES [J].
Fedorko, G. ;
Molnar, V ;
Honus, S. ;
Neradilova, H. ;
Kampf, R. .
INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2018, 17 (03) :444-457
[4]   Simulation-based optimization methods for setting production planning parameters [J].
Gansterer, Margaretha ;
Almeder, Christian ;
Hartl, Richard F. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 151 :206-213
[5]   Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems [J].
Ghasemi, Amir ;
Ashoori, Amir ;
Heavey, Cathal .
APPLIED SOFT COMPUTING, 2021, 106
[6]   Stochastic network investment in integrated gas-electric systems [J].
Haghighat, Hossein ;
Zeng, Bo .
ELECTRIC POWER SYSTEMS RESEARCH, 2021, 197
[7]  
Janekova J., INT J SIMUL MODEL, V17
[8]   A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry [J].
Marques, Catarina M. ;
Moniz, Samuel ;
de Sousa, Jorge Pinho ;
Barbosa-Povoa, Ana Paula .
COMPUTERS & CHEMICAL ENGINEERING, 2017, 106 :796-813
[9]   New two level robust models for transmission expansion planning problem under uncertainty [J].
Senyigit, Ercan ;
Mutlu, Selcuk .
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2021, 36 (02) :897-911
[10]   Long-term resource planning in the high-tech industry: Capacity or inventory? [J].
Smirnov, Dina ;
van Jaarsveld, Willem ;
Atan, Zumbul ;
de Kok, Ton .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 293 (03) :926-940
12