Analyzing the Impact of Depreciation-Estimating Methods on State Transportation Agencies’ Equipment Replacement Decisions Using Dynamic Programming

Author:

Qiao Lei1ORCID,Shan Yongwei2ORCID,Shrestha Saurav3ORCID,Ahmed Samir4,Liu Tieming5

Affiliation:

1. Computer Modeler, Oklahoma Water Resources Center, Oklahoma State Univ., Stillwater, OK 74078. ORCID: .

2. Associate Professor, School of Civil Engineering and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078 (corresponding author). ORCID: .

3. Ph.D. Student, School of Civil Engineering and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078. ORCID: .

4. Professor, School of Civil Engineering and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078.

5. Professor, School of Industrial Engineering and Management, Oklahoma State Univ., Stillwater, OK 74078.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations,Building and Construction

Reference48 articles.

1. Equipment replacement decision in mine based on decision tree algorithm;Abbaspour H.;Sci. Rep. Resour.,2016

2. The effect of tax depreciation on the stochastic replacement policy

3. Optimisation of medical equipment replacement using stochastic dynamic programming

4. Ávila-Godoy G. A. Brau and E. Fernández-Gaucherand. 1997. “Controlled Markov chains with discounted risk-sensitive criteria: Applications to machine replacement.” In Proc. 36th IEEE Conf. on Decision and Control 1115–1120. New York: IEEE.

5. Baldin, A., L. Furlanetto, A. Roversi, and F. Turco. 1988. Manuale della Manutenzione degli Impianti Industriali e servizi. [In Italian.] Milano, Italy: Editorial Franco Angeli.

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