RESEARCH PAPER
Dynamic Pricing Strategy for Maintenance Services Based on Equipment Degradation and Game Theory
1
Xi'an University of Science and Technology, China
A – Conceptualization; B – Methodology; C – Software; D – Validation; E – Formal analysis; F – Investigation; G – Resources; H – Data curation; I – Writing – original draft; J – Writing – review & editing; K – Visualization; L – Supervision; M – Project administration; N – Funding acquisition
Submission date: 2026-03-06
Final revision date: 2026-05-17
Acceptance date: 2026-06-25
Online publication date: 2026-07-16
KEYWORDS
TOPICS
- Reliability modelling for maintenance of technical items
- Maintenance economics for machines, devices and technical systems
- Physics of Failure and Degradation Modelling
- Reliability, Availability, Maintainability and Safety Analysis
- Maintenance Engineering, Asset Management, Life Cycle Costs and Logistics
ABSTRACT
In equipment maintenance, traditional methods often fail to characterize the equipment status, complicating service valuation. This study proposes a dynamic pricing strategy that integrates Gamma degradation modeling with Stackelberg game theory. Focusing on a single piece of equipment, the Gamma process is used to model its stochastic degradation, while preventive maintenance, replacement, and corrective maintenance strategies are combined to form a state-dependent dynamic maintenance rule. Using the Stackelberg game framework, key indicators like expected maintenance frequency and cost are embedded into the pricing model, creating the maintenance-decision pricing mechanism. Monte Carlo simulation solves the game equilibrium for the optimal inspection interval and price. Results show that an 11-day inspection interval achieves system equilibrium, with an optimal price of CNY 1.261 million. This strategy significantly improves the pricing scheme’s adaptability to the actual equipment conditions and enhances its industrial practicality.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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