| The performance-based contract is a contractual agreement between the customer(the equipment user)and the equipment manufacturer on the equipment operation performance.The implementation of a reasonable and appropriate maintenance policy within the performance-based contract can effectively reduce equipment manufacturer’s maintenance costs and improve the availability and safety of the equipment.Due to the complex operating environment of electrical distribution equipment in construction engineering,the equipment is prone to rust and corrosion by electrical breathing phenomenon in the operation process.The behavior of inspecting the degradation status of equipment through rust removal accelerates the process of equipment degradation,and the impact of such destructive inspection on the structure of the equipment’s situational maintenance policy needs to be considered.In this paper,from the perspective of equipment manufacturers,we conduct in-depth research on the optimization of performance-based contract equipment condition-based maintenance decisions from the perspective of the current problems in the maintenance management of distribution equipment in construction projects.First,a gamma stochastic process is used to model the degradation process of electrical distribution equipment affected by destructive inspection,and a new condition-based maintenance single-objective decision optimization model under performance assurance is proposed.The model takes the equipment manufacturer to maximize the maintenance profitability within the performance guarantee period as the objective,and the inspection interval and preventive replacement threshold as the decision variables.In the arithmetic demonstration,a heuristic particle swarm optimization algorithm is used to solve to obtain the optimal condition-based maintenance policy,and the feasibility of the model is proved by sensitivity analysis.Secondly,a new bi-objective decision optimization model of condition-based maintenance under performance-based contracting is proposed for electrical distribution equipment manufacturers expecting to improve their market competitiveness.The optimization objective of this model is to maximize maintenance profitability and equipment availability.In the arithmetic demonstration,a heuristic non-dominated ranking genetic algorithm with elite strategies is solved to obtain the optimal set of condition-based maintenance policies,and the optimal solution of the set is obtained by the weighted sum method.Similarly,the feasibility of the model is proved by sensitivity analysis.Finally,according to the maintenance description and historical data of a electrical distribution equipment manufacturer in Shandong Province,the manufacturer’s current maintenance decision model is constructed,the problems of the model are identified,and the optimization schemes and suggestions of the maintenance decision are proposed as appropriate to promote the continuous improvement of the maintenance management of electrical distribution equipment in construction engineering. |