Pricing service maintenance contracts using predictive analytics

نویسندگان

چکیده

As more manufacturers shift their focus from selling products to end solutions, full-service maintenance contracts gain traction in the business world. These cover all related costs during a predetermined horizon exchange for fixed service fee and relieve customers uncertain costs. To guarantee profitability, fees should at least expected contract horizon. these may depend on several machine-dependent characteristics, e.g. operational environment, also be differentiated based characteristics. If not, that are less prone high will not buy into or renege contract. The latter can lead adverse selection leave provider with maintenance-heavy portfolio, which detrimental profitability of contracts. We contribute literature data-driven tariff plan calibration predictive models take account different machine profiles. This conveys profiles attracted price. demonstrate advantage show how it better protects against selection.

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ژورنال

عنوان ژورنال: European Journal of Operational Research

سال: 2021

ISSN: ['1872-6860', '0377-2217']

DOI: https://doi.org/10.1016/j.ejor.2020.08.022