Asset Replacement Decisions in the Context of the Mining Sector

Author(s):  
M. H. C. Dakada ◽  
J. E. Amadi-Echendu
Author(s):  
Chrysostomos Mylonas ◽  
Yiannis Xenidis

<p>Infrastructure systems and assets are, worldwide, facing challenges due to aging and increased requirements to serve the growing social and environmental needs. In addition, various frameworks supporting asset replacement decisions have been proposed but they mainly consider dimensions such as structural performance and life-cycle costs. This paper confronts infrastructure renewal problem at a higher level by shedding light to its interface with megaproject development. Through the brief review of two discrete research areas, namely ‘methods for infrastructure project feasibility analysis’ and ‘integrated infrastructure systems modelling’, it seeks to conceptualise a new method that is able to appraise megaproject investments by simulating and measuring the performance of the whole infrastructure network, into which a megaproject is about to be incorporated.</p>


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuri Yatsenko ◽  
Natali Hritonenko

PurposeDespite the existence of multiple asset replacement theories, the economic life replacement method remains a major practical technique for making rational machine replacement decisions. The purpose of this paper is to bridge this method with comprehensive data analytic tools and make it applicable it to modern business reality with abundant data on operating and replacement costs.Design/methodology/approachThis study employs operations research, discrete and continuous optimization, applied mathematical modeling, data analytics, industrial economics and real options theory.FindingsConstructed stochastic algorithms extend the deterministic economic life method and are compared to the contemporary theory of stochastic asset replacement based on real options and dynamic programming. It is proven that both techniques deliver similar results when the cost volatility is small. A major theoretic finding is that the cost uncertainty speeds up the replacement decision.Research limitations/implicationsThis research suggests that the proposed stochastic algorithms may become an important tool for managerial decisions about replacement of many similar machines with detailed data on operating and replacement costs.Originality/valueCompared to the real options replacement theory, major advantages of the proposed algorithms are that they work equally well for any distribution of age-dependent stochastic operating cost. The algorithms are tested on a real industrial case about replacement of medical imaging devices. Numeric simulation supports obtained analytic outcomes.


2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Ivan Somantri ◽  
Hadi Ahmad Sukardi

This study aims to determine how to influence simultaneously and partially investment decisions, debt policy and dividend policy on firm value in mining sector companies listed on the Indonesia Stock Exchange for the period 2013-2017. The research method used in this study is descriptive and associative methods. The population in this study were mining sector companies listed on the Indonesia Stock Exchange in the period 2013-2017, which amounted to 43 companies. The sampling technique used in this study is non probability sampling with purposive sampling method, so that the number of samples obtained is 8 companies. While the data analysis used in this study is panel data regression analysis with the fixed effect method. The results of the study show that partially investment decisions and debt policies have a positive effect on firm value. While dividend policy has a negative effect on firm value. In addition, the results of the study simultaneously show that investment decisions, debt policies and dividend policies affect the value of the company. The amount of investment decisions, debt policy and dividend policy in contributing influence to earnings management is 34.14%.


2014 ◽  
Vol 59 (2) ◽  
pp. 395-411 ◽  
Author(s):  
Józef Dubiński ◽  
Marian Turek

Abstract The actual situation of hard coal mining in Poland has been presented. In particular, these factors, which have impact on the competiveness of mining sector were highlighted and need of its improving has been stressed. Outlining present situation of hard coal mining an attention was paid to its specific threats. The primary analytical material is based on the results of questionnaire conducted among 92 specialists and experts from the mining sector. The questions were related to chances and threats for development of hard coal mining in Poland. The factors determining them were grouped in such domains as economy, technology, geology, social and law aspects. Moreover, the special attention was paid to the problem of increasing and high costs of coal production which constitute significant threat for the financial and economic situation of the mining enterprises. Also the adverse influence of these high cost on the competitiveness of Polish hard coal with other world producers and with other energy carriers was emphasized. The conclusions summarize the achieved results of analysis.


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