Joint decision of condition-based opportunistic maintenance and scheduling for multi-component production systems

Author(s):  
Jie Gan ◽  
Wenyu Zhang ◽  
Siyu Wang ◽  
Xiaohong Zhang
Author(s):  
Tangbin Xia ◽  
Kaigan Zhang ◽  
Bowen Sun ◽  
Xiaolei Fang ◽  
Lifeng Xi

Abstract With the development of the product-service paradigm, many original equipment manufacturers (OEMs) have begun to provide remanufacturing service as the lessors. An integrated contract including remanufacturing and maintenance service brings extra leasing profits, and complex scheduling challenges as well. The use of machine remanufacturing in conjunction with system-level opportunistic maintenance has not been previously studied. This paper tries to integrate remanufacturing planning into maintenance optimizations for improved system performance in terms of saved leasing profits. We develop an integrated remanufacturing and opportunistic maintenance (R&OM) policy and applies it to a leased manufacturing line in batch production. The system-level saved profit achieved via the R&OM policy is estimated and maximized through a sequential decision-making programming. Performing this integrated policy, it is possible to utilize the sequential R&OM opportunities raised from the random batch orders. In addition, preventive maintenance (PM) and preventive remanufacturing (PR) can be dynamically optimized to form profit-effective schemes. Numerical examples demonstrate that this proposed R&OM policy could efficiently achieve saved leasing profit maximization, reduce joint decision complexity and expand opportunistic maintenance theory.


2015 ◽  
Vol 21 (1) ◽  
pp. 70-88 ◽  
Author(s):  
Binghai Zhou ◽  
Jiadi Yu ◽  
Jianyi Shao ◽  
Damien Trentesaux

Purpose – The purpose of this paper is to develop a bottleneck-based opportunistic maintenance (OM) model for the series production systems with the integration of the imperfect effect into maintenance activities. Design/methodology/approach – On the analysis of availability and maintenance cost, preventive maintenance (PM) models subjected to imperfect maintenance for different equipment types are built. And then, a cost-saving function of OM is established to find out an optimal OM strategy, depending on whether the front-bottleneck machines adopt OM strategy or not. A numerical example is given to show how the proposed bottleneck-based OM model proceeded. Findings – The simulation results indicate that the proposed model is better than the methods to maintain the machines separately and the policy to maintain all machines when bottleneck machine reaches its reliability threshold. Furthermore, the relationship between OM strategy and corresponding parameters is identified through sensitivity analysis. Practical implications – In practical situations, the bottleneck machine always determines the throughput of the whole series production system. Whenever a PM activity is carried out on the bottleneck machine, there will be an opportunity to maintenance other machines. Under such circumstances, findings of this paper can be utilized for the determination of optimal OM policy with the objective of minimizing total maintenance cost of the system. Originality/value – This paper presents a bottleneck-based OM optimization model with the integration of the imperfect effect as a new method to schedule maintenance activities for a series production system with buffers. Furthermore, to the best of the knowledge, this paper presents the first attempt to considering the bottleneck constraint on system capacity and diverse types of machines as a means to minimize the maintenance cost and ensure the system throughput.


EDIS ◽  
2020 ◽  
Author(s):  
Arnold W. Schumann ◽  
Ariel Singerman ◽  
Alan L. Wright ◽  
Rhuanito S. Ferrarezi

Author(s):  
Marta K. Isaeva

The paper dedicates in commemoration of K.A. Bagrinovsky, known scientist, doctor of economic sciences, professor. His thesis was theoretic problems of mathematical modeling and operation of economy. His works in the operations research, the methods making decision, the simulation were received in scientific world. The analysis and the modeling of the mechanisms for scientific and technological development for the production systems of different level in economic hierarchic both centrally controlled economy and making mechanism were conduced by Bagrinovsky in CEMI RAS. The paper presents the investigations (2001–2015) of the analysis and the simulation of the different mechanisms of the innovational activity. It also discusses the methods of the development the complex of the simulation models. In a sense simulation modeling is the science and the art as the selection of the salient parameters for the construction model, intake simplification, the computer experiment and the making decision based on scarcity of accuracy models rest on the heuristic power of men: the practical trial, the intelligence and the intuition. K.A. Bagrinovsky introduced the considerable endowment in the development of this direction for economic and mathematical investigation.The principal object was to show that the relationship between the innovational policy and the technological structure, scientific research sector and the introducing of the progressive production and the organizational structure is obtainable by the models. The character of these relationships may be to use in control of the parameters for the modernization economic. The construction simulation models and the experimental computation analysis were presented the investigations the different mechanisms of the innovational development ant the variants of the estimation have been accomplished on the modeling level by the computer experiment.


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