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Article
Machine replacement under evolving deterministic and stochastic costs
Mathematics Faculty Publications
  • Yuri Yatsenko, Houston Baptist University
  • Natali Hritonenko, Prairie View A&M University
Document Type
Article
Publication Date
11-1-2017
Abstract

The infinite-horizon cost minimization and the real-option stopping problem are used to analyze serial replacement of a single asset under improving technology. It is shown that both techniques produce the same (equal life) replacement policy when exponential technological improvements affect the operating cost and new asset cost in the same way. Next, this result is extended to the stopping problem under evolving stochastic costs. Under general improving technology, the expected asset lifetimes appear to be different for sequential replacement cycles and depend on the future cost evolution. Numeric experiments are provided and managerial implications of the obtained outcomes are discussed.

Citation Information
Yuri Yatsenko and Natali Hritonenko. "Machine replacement under evolving deterministic and stochastic costs" (2017)
Available at: http://works.bepress.com/natali-hritonenko/24/