Toward servitization: optimal design of uptime‐guarantee maintenance contracts
Toward servitization: optimal design of uptime‐guarantee maintenance contracts
This paper analyzes the contracting of maintenance services provided by an original equipment manufacturer (OEM) to an operator for a device. The service provider can exert different levels of maintenance effort during the course of the contract and the device's reliability (uptime) is influenced by these levels. However, the service provider's effort level is noncontractible. Our research seeks to find the optimal structures, as well as parameters, of performance-based maintenance contracts. We single out a unique uptime-guarantee contract structure that contains profit-maximizing contracts in many situations. Complete servitization is the essence of such optimal contract structures. With this contract structure, the service provider simply guarantees 100% uptime and compensates the operator's for any occurred downtime at a higher unit rate than it charges for maintenance services. Our findings show that some of the well-known performance-based contract structures used in practice (e.g., pay-for-performance contracts) can be suboptimal for the OEMs. We incorporate the customer's ability to affect the uptime and show that the optimal contract structures can also coordinate the customer's effort. We demonstrate the advantages and limitations of offering menus of contracts to increase the service provider's expected profits. Finally, through simulations using a sample data set, we find that a contract designed using the key ideas in our paper shows very promising results for practitioners.
Hezarkhani, Behzad
ae3fc227-94dc-47bd-b52c-2fdf90277bef
Nagarajan, Mahesh
a92bdf2f-ce80-4db7-ba13-61053d533612
Tong, Chunyang
2095ed3c-4734-4400-9d96-a415e5b8bb30
1 October 2022
Hezarkhani, Behzad
ae3fc227-94dc-47bd-b52c-2fdf90277bef
Nagarajan, Mahesh
a92bdf2f-ce80-4db7-ba13-61053d533612
Tong, Chunyang
2095ed3c-4734-4400-9d96-a415e5b8bb30
Hezarkhani, Behzad, Nagarajan, Mahesh and Tong, Chunyang
(2022)
Toward servitization: optimal design of uptime‐guarantee maintenance contracts.
Production and Operations Management.
(doi:10.1111/poms.13789).
Abstract
This paper analyzes the contracting of maintenance services provided by an original equipment manufacturer (OEM) to an operator for a device. The service provider can exert different levels of maintenance effort during the course of the contract and the device's reliability (uptime) is influenced by these levels. However, the service provider's effort level is noncontractible. Our research seeks to find the optimal structures, as well as parameters, of performance-based maintenance contracts. We single out a unique uptime-guarantee contract structure that contains profit-maximizing contracts in many situations. Complete servitization is the essence of such optimal contract structures. With this contract structure, the service provider simply guarantees 100% uptime and compensates the operator's for any occurred downtime at a higher unit rate than it charges for maintenance services. Our findings show that some of the well-known performance-based contract structures used in practice (e.g., pay-for-performance contracts) can be suboptimal for the OEMs. We incorporate the customer's ability to affect the uptime and show that the optimal contract structures can also coordinate the customer's effort. We demonstrate the advantages and limitations of offering menus of contracts to increase the service provider's expected profits. Finally, through simulations using a sample data set, we find that a contract designed using the key ideas in our paper shows very promising results for practitioners.
Text
Production Oper Manag - 2022 - Hezarkhani - Toward servitization Optimal design of uptime‐guarantee maintenance
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Accepted/In Press date: 13 May 2022
e-pub ahead of print date: 24 June 2022
Published date: 1 October 2022
Identifiers
Local EPrints ID: 478518
URI: http://eprints.soton.ac.uk/id/eprint/478518
ISSN: 1059-1478
PURE UUID: a4ff06ce-085a-4dbb-aa3f-e67bcaf67eaa
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Date deposited: 04 Jul 2023 17:44
Last modified: 18 Oct 2024 02:05
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Contributors
Author:
Behzad Hezarkhani
Author:
Mahesh Nagarajan
Author:
Chunyang Tong
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