Image and signal processing
Risk management and safety
Methods and models in economy
S.A. Smolyak On the dynamics of depreciation of equipment with a random service life
Economic and sociocultural challenges of the information society
Dynamic systems
S.A. Smolyak On the dynamics of depreciation of equipment with a random service life
Abstract. 

We propose a model that describes the decrease in the market value of equipment with age (depreciation). To measure the depreciation of a used equipment item, we accept the goodness factor, that is, the ratio of its market value to the market value of similar new equipment. The model is based on the discounting cash flows method (DCF). It takes into account that with age, the technical and economic characteristics of the machine deteriorate, and during operation, accidental failures are possible, after which the equipment item must be decommissioned. It is assumed that in the absence of failures, the benefits brought by the equipment item are reduced at a random rate, so that its service life is random. We present the results of calculations according to the model for options when this service life has the Weibull distribution. It was found that the discount rate, average service life and its coefficient of variation have little effect on the dependence of the goodness factor on the relative age (the ratio of actual age to average service life).

Keywords: 

machinery equipment, degradation, service life, log-normal distribution, Weibull distribution, failure, valuation, DCF method, depreciation, percent good factor.

PP. 55-64.

DOI: 10.14357/20790279200107
 
References

1. Smolyak, S.A. 2016. Stoimostnaya otsenka mashin i oborudovaniya (secrety metoda DDP). [Machinery and equipment valuation (secrets of the DCF method)]. Moskow, Russia: Option Publishing House. (in Russian)
2. International Valuation Standards 2017.
3. Ostreykovsky, V.A. 2003. Teoriya nadyozhnosti [Reliability theory]: Textbook for high schools. Moskow, Russia: Vysshaya shkola Publs. (in Russian)
4. Wang Z., Huang H.-Z., Li Y., Xiao N.-C. 2011. An approach to reliability assessment under degradation and shock process. // IEEE Transactions on Reliability. Vol. 60(4), pp. 852-863.
5. Lin Y.H., Li Y.F., Zio E. 2014. Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment // IEEE Transactions on Reliability. Vol. 64(1): 154-166.
6. Smolyak, S.A. 2017. Vliyaniye nadyozhnosti mashin i oborudovaniya na ikh stoimost. [The impact of reliability on the value of machinery and equipment]. Economica i matematicheskiye metody [Economics and mathematical methods]. 53(1): 57-74. (in Russian)
7. Smolyak, S.A. 2014. Zavisimost stoimosti masin ot vozrasta; problemy i modeli [Dependence of the value of machinery on age: problems and models] // Audit i finansovy analiz [Audit and financial analysis]. No 5: 138-150.
8. Fedotova, M.A. (Ed.). 2018. Otsenka mashin i oborudovaniya [Machinery and equipment valuation]: Textbook. (2nd edition). Moskow, Russia: INFRA-M Publs. (in Russian)
9. Nazarov O., Rutgaizer V. 2011. Otsenka mashin i oborudovaniya [Machinery and equipment valuation]. Moscow, Russia: Quinto-Consulting Publs.
10. Assessors’ Handbook 581. Equipment and Fixtures Index, Percent Good and Valuation Factors. California State Board of Equalization: 2018. Available at: https://www.boe.ca.gov/ proptaxes/pdf/ah58118.pdf (accessed: May 2019)
11. 2018 Personal Property Manual. Retrieved December 16, 2018, from https://azdor.gov/sites/ default/files/media/PROPERTY_pp-manual.pdf
12. Leifer, L.A. (Ed.). 2019. Spravochnik otsenshchika mashin i oborudovaniya. Korrectiruyushchiye coefficienty i kharacteristiky rynka mashin i oborudovaniya [Handbook of machinery and equipment appraiser. Correction factors and characteristics of machinery and equipment market] (2nd edition). Nizhniy Novgorod, Russia: Volga Center for Methodological and Informational Support of Valuation Publs. (in Russian)
13. Asaul, A.N., Starinsky, V.N., Bezdudnaya, A.G., Starovoytov, M.K. 2011. Otsenka mashin, oborudovaniya i transportnykh sredstv [Machinery, equipment and vehocles valuation]. St. Peterburg, Russia: IPEV Publs. (in Russian)
14. Personal Property Depreciation Schedules and Trend Tables 2018. Retrieved December 16, 2018, from https://mtrevenue.gov/wp-content/uploads/2018/01/2018-PPR-Deprectiation-Schedules.pdf
15. Smolyak, S.A. 2008. Problemy i paradoxy otsenki mashin i oborudovaniya [Problems and paradoxes of machinery and equipment valuation]. Moskow, Russia: RIO MAOK. (in Russian)
16. Kovalyov, A. 2016. Opredeleniye sroka sluzhby mashin i oborudovaniya pri ikh stoimostnoy otsenke [Calculation of the service life of machinery and equipment in their valuation] // Imushchestvennye otnosheniya v Rossiyskoy Federatsii [Property Relations in the Russian Federation]. 10: 73-81. (in Russian)
17. Leifer, L.A., Kashnikova, P.M. 2008. Opredeleniye ostatochnogo sroka sluzhby mashin i oborudovaniya na osnove veroyatnostnykh modeley [Calculation of the residual life of machinery and equipment based on probabilistic models]. Imushchestvennye otnosheniya v Rossiyskoy Federatsii [Property Relations in the Russian Federation]. 1: 66-79. (in Russian)
18. Smolyak, S.A. 2017. O veroyatnostnykh modelyakh dla otsenki ostatochnogo sroka sluzhby i iznosa mashin i oborudovaniya [On probabilistic models for machinery and equipment residual life and depreciation estimation]. Imushchestvennye otnosheniya v Rossiyskoy Federatsii [Property Relations in the Russian Federation]. No 2(185), Pp. 75-87. (in Russian)
 
2024-74-1
2023-73-4
2023-73-3
2023-73-2

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".