Acquisition of new technology information for maintenance and replacement policies
In this paper, we propose the first model that considers the option to acquire information on the profitability of a new technology that is not yet available on the market for asset maintenance and replacement decisions. We consider the uncertainty of future asset characteristics by incorporating in...
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Veröffentlicht in: | International journal of production research 2017-04, Vol.55 (8), p.2212-2231 |
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creator | Nguyen, Khanh T.P. Yeung, Thomas Castanier, Bruno |
description | In this paper, we propose the first model that considers the option to acquire information on the profitability of a new technology that is not yet available on the market for asset maintenance and replacement decisions. We consider the uncertainty of future asset characteristics by incorporating information acquisition decisions into a non-stationary Markov decision process framework. Using this framework, we optimise asset maintenance and replacement decisions as well as the optimal timing of new technology adoption. Through mathematical analyses, the monotone properties and convexity of the value function and optimal policy are deduced. Deeper numerical analyses highlight the importance of considering the acquisition of information on future technology when formulating a maintenance and replacement policy for the asset. We also deduce a non-intuitive result: an increase in the arrival probability of new technology does not necessarily make the acquisition of additional information more attractive. |
doi_str_mv | 10.1080/00207543.2016.1229069 |
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We consider the uncertainty of future asset characteristics by incorporating information acquisition decisions into a non-stationary Markov decision process framework. Using this framework, we optimise asset maintenance and replacement decisions as well as the optimal timing of new technology adoption. Through mathematical analyses, the monotone properties and convexity of the value function and optimal policy are deduced. Deeper numerical analyses highlight the importance of considering the acquisition of information on future technology when formulating a maintenance and replacement policy for the asset. We also deduce a non-intuitive result: an increase in the arrival probability of new technology does not necessarily make the acquisition of additional information more attractive.</description><subject>Acquisitions & mergers</subject><subject>Applications</subject><subject>Computer Science</subject><subject>Data processing</subject><subject>Decisions</subject><subject>Economic models</subject><subject>information acquisition</subject><subject>Maintenance</subject><subject>Maintenance management</subject><subject>Markov analysis</subject><subject>Markov decision rules</subject><subject>Markov modelling</subject><subject>Mathematical analysis</subject><subject>Modeling and Simulation</subject><subject>New technology</subject><subject>Optimization</subject><subject>Policies</subject><subject>Profitability</subject><subject>replacement policies</subject><subject>Statistics</subject><subject>Technology adoption</subject><subject>technology management</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LJDEQhsOisKPuT1ho2Iseeqx8dDp9cxBdFwYEcWFvIZNO1kg6GZMeh_n3pndGD3uwLlVUPVVU1YvQdwxzDAIuAQi0DaNzApjPMSEd8O4LmmHKed0I8ecIzSamnqCv6CTnZyjWCDZDDwv9snHZjS6GKtoqmG01Gv0Uoo9_d5ULNqZB_auWqBqUC6MJKmhTqdBXyay90mYwYazW0TvtTD5Dx1b5bL4d_Cn6fXvzeH1XL-9__rpeLGvNBB3rnrfAaas6S1puhWGWg2h6C8X3qhd61a0IZ4BXQgC3JUsM6ZTtW9VSyzQ9RRf7uU_Ky3Vyg0o7GZWTd4ulnHKAGwKC0Vdc2PM9u07xZWPyKAeXtfFeBRM3WeIOGGEtY21Bf_yHPsdNCuUSiYWgDWeiEYVq9pROMedk7McGGOSkinxXRU6qyIMqpe9q33f47DYm38tR7XxMNpW_uizp5yPeAMqwkwM</recordid><startdate>20170418</startdate><enddate>20170418</enddate><creator>Nguyen, Khanh T.P.</creator><creator>Yeung, Thomas</creator><creator>Castanier, Bruno</creator><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-3735-3331</orcidid></search><sort><creationdate>20170418</creationdate><title>Acquisition of new technology information for maintenance and replacement policies</title><author>Nguyen, Khanh T.P. ; 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We consider the uncertainty of future asset characteristics by incorporating information acquisition decisions into a non-stationary Markov decision process framework. Using this framework, we optimise asset maintenance and replacement decisions as well as the optimal timing of new technology adoption. Through mathematical analyses, the monotone properties and convexity of the value function and optimal policy are deduced. Deeper numerical analyses highlight the importance of considering the acquisition of information on future technology when formulating a maintenance and replacement policy for the asset. 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source | EBSCOhost Business Source Complete; Taylor & Francis:Master (3349 titles) |
subjects | Acquisitions & mergers Applications Computer Science Data processing Decisions Economic models information acquisition Maintenance Maintenance management Markov analysis Markov decision rules Markov modelling Mathematical analysis Modeling and Simulation New technology Optimization Policies Profitability replacement policies Statistics Technology adoption technology management |
title | Acquisition of new technology information for maintenance and replacement policies |
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