• Title/Summary/Keyword: Nonlinear CVP Analysis

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Derivation of Profit Curve by Cubic Cost Function and Mathematical Verification of Industry Life Cycle: Focused on All Industries in Korea (3차 비용함수에 의한 이익곡선 도출과 산업 라이프사이클의 수리적 검증: 우리나라 전 산업을 중심으로)

  • Hoo Seok Pai;Chae Kwan Lim
    • Journal of Korean Society for Quality Management
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    • v.51 no.4
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    • pp.481-496
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    • 2023
  • Purpose: The main theme of this study is to derive a profit curve by a cubic cost function for nonlinear CVP analysis. According to the analytical approach to derive a nonlinear profit function in this study, it is possible with only the existing cost structure to calculate the profit maximization and downtime point sales unlike the classical CVP analysis. Furthermore, the profit curve by the mathematical model of this study could serve as a tool to quantify the qualitative evaluation of each stage of the industry life cycle. Methods: This study followed the mathematical approach from the cubic cost function model of microeconomics, and using real data of the Bank of Korea Results: The nonlinear profit function suggested by this study is as follows; ${\pi}(x)=-a\left(x-\frac{f}{1-v}\right)^3+(1-v)x-k$ where $a=\frac{1}{3}v\left(\frac{(1-v)}{f}\right)^2,k=f-a\left(1-\frac{f}{1-v \right)^3$ Conclusion: The process and results of this study would be able to contribute not only in practice of nonlinear CVP analysis required in the management accounting or financial management, but also in cost theory of microeconomics. Also, since the life cycle of all industries in Korea was verified to the growth or mature stage, decision makers should pay careful attention to determining life cycle stages and consider the profit curve by the average variable cost ratio over multi periods.

Marginal Analysis for Detailed Estimation (한계분석을 이용한 세부견적법)

  • 이상철;하정진
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.13 no.22
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    • pp.113-120
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    • 1990
  • This paper is concerned with marginal analysis in the detailed estimation method. In a broad sense all estimates are marginal estimates in as much as they are concerned with creating changes from a current course of action. Only after a detailed ostinato is made can the engineering realize and exploit the advantages of marginal analysis. Marginal analysis is good tool for nonlinear break-even analysis adapted real world, and much more information and efficiency of CVP(Cost-Volumn-Profit) are provided with marginal analysis.

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