An optimal maintenance strategy for multi-state deterioration systems based on a semi-Markov decision process coupled with simulation technique

Jin, Haibo; Han, Fangwei; Shu, Yu

doi:10.1016/j.ymssp.2019.106570

Cited by 15 publications

(8 citation statements)

References 47 publications

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“…At the end, one of the most recent works is done by Jin et al (2020). They carried out a research on an optimal and efficient maintenance strategy to maximize the net income of each unit for multi-state deterioration systems using simulation technique.…”

Section: Literature Reviewmentioning

confidence: 99%

Maintenance strategy selection: a combined goal programming approach and BWM-TOPSIS for paper production industry

Darestani¹,

Palizban

Imannezhad

2020

JQME

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PurposeCorrect and well-planned maintenance based on modern global methods directly affects efficiency, quality, direct production costs, reliability and profitability. The selection of an optimal policy for maintenance can be a good solution for industrial units. In fact, by managing constraints such as costs, working hours and human workforce causing sudden equipment failure, production and performance can increase.Design/methodology/approachTherefore, in this research a model was presented to select the best maintenance strategy at Kaghaz Kar Kasra Co of Iran. In this study, it was tried to integrate the two techniques of goal programming and the technique for order of preference by similarity to ideal solution (TOPSIS) to prioritize maintenance strategies. First, all factors affecting maintenance were identified, and based on the Best Worst Method (BWM) the degree of their importance was determined.FindingsAfter the evaluation, only 14 criteria in the 4 dimensions of cost, added value, safety and feasibility were selected. The highest points were given to the criteria of equipment cost and depreciation, equipment and personnel performance, equipment installation time and technical feasibility, respectively. In the next stage, using the TOPSIS method the item of maintenance strategy was ranked, and the 3 strategies of preventive maintenance (PM), predictive maintenance (PDM) and corrective maintenance (CM) were chosen. Modeling was performed utilizing a goal programming approach to select the optimal maintenance strategy for 13 devices. All the technical specifications, cost limits and the device time were extracted. After the model was finished and solved the best item for each device was specified.Originality/value1. Developing a goal programming model and decision-making dashboard. 2. Identifying the criteria and factors affecting the selection of the maintenance strategy for paper production Industry

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Section: Literature Reviewmentioning

confidence: 99%

Maintenance strategy selection: a combined goal programming approach and BWM-TOPSIS for paper production industry

Darestani¹,

Palizban

Imannezhad

2020

JQME

View full text Add to dashboard Cite

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“…It has been widely used by industries in various disciplines such as electricity, manufacturing, shipping, nuclear, and others. CBM is a modern maintenance strategy and a popular maintenance technique [12]- [15]. The principle of CBM action is to minimize engine maintenance costs by avoiding maintenance actions on components that are still run properly to increase engine availability [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Modern Monitoring Instrument to Support Fishing Vessel Operation and Maintenance: A Review

Abrori¹,

Sidhi²,

Prasetyo³

2021

International Journal on Advanced Science, Engineering and Information Technology

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Determining the maintenance strategy for fishing vessels propulsion engines can use engine operational monitoring data. This data is used to prepare the implementation time, spare parts, labor, and costs. Unfortunately, many fishing vessels do not have this data. Currently, electronic devices are available for monitoring machine operations. This device is cheap, easy to use, takes responsibility for various physical quantity parameters, displays it on LCD, stores it digitally, and transmits data wirelessly. This paper aims to review the application of engine operational monitoring tools to apply to fishing vessel propulsion engines. The material used is scientific articles consisting of journals and proceedings indexed by online databases. Several keywords are used to obtain scientific articles that are suitable for the study. The method used is a literature review that is systematically reviewed by applying inclusion and exclusion. The results obtained in this article are the parameters for monitoring propulsion engines, namely temperature, pressure, rotational speed, and hours the engine runs. The monitoring device requires sensors to detect physical parameters, a microcontroller to process data, an LCD to display monitoring results, and memory to store data to obtain this data. The device supports wireless communication via Bluetooth or WiFi radio signal. Fishing vessels are operating in offshore areas that are not covered by internet networks as IoT communication transmissions. Further research on how to transmit operational engine data from offshore to onshore without an internet signal so that data can be accessed using the internet network.

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“…However, the maintenance function is the backbone of manufacturing systems that should be carefully planned in terms of strategy [13,14]. A maintenance strategy refers to regulations of order for the scheduled maintenance, including predictive maintenance, reliability-centred maintenance, run-to-fail and preventive maintenance [15][16][17][18]. The appropriate selection of a maintenance strategy is critical and a very strong determinant of the manufacturing system's success [19].…”

Section: Introductionmentioning

confidence: 99%

“…However, on the literature regarding maintenance strategy formulation, there are very scanty experiences and contributions in research and practice to discuss [15,16,20]. Furthermore, merely a few articles are associated with strategy selection in manufacturing plants, and no articles of substantial importance have been proposed to select the maintenance strategy of a rolling mill in a developing country within a proactive context [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A two-stage fuzzy multi-criteria approach for proactive maintenance strategy selection for manufacturing systems

Ighravwe

Oke

2020

SN Appl. Sci.

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This paper studies the use of fuzzy logic theory embedded in fuzzy axiomatic design to develop an integrated model with the analytical hierarchy process, and a selection of maintenance strategies in manufacturing systems through weighted sum-product evaluation. In this paper, an analysis was conducted to understand the model characteristics of combined fuzzy axiomatic design, analytic hierarchy process and weighted aggregated sum product assessment. The results from the analysis served as information to establish the best maintenance strategy. Based on the data obtained from a factory, which was tested on the proposed framework, it is concluded that the most preferred proactive maintenance strategy for the case study was preventive maintenance, followed by reliability-based maintenance while predictive maintenance is the least preferred maintenance strategy in the rolling mill. Accordingly, the two-stage fuzzy multi-criteria maintenance strategy selection approach is appropriate to select the best maintenance strategy for the factory. This paper offers a new method to establish the best maintenance strategy for a rolling mill. As such, the manager could install a method for significant improvement in engineering practices with promising business excellence and competitiveness results.

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An optimal maintenance strategy for multi-state deterioration systems based on a semi-Markov decision process coupled with simulation technique

Cited by 15 publications

References 47 publications

Maintenance strategy selection: a combined goal programming approach and BWM-TOPSIS for paper production industry

Maintenance strategy selection: a combined goal programming approach and BWM-TOPSIS for paper production industry

Modern Monitoring Instrument to Support Fishing Vessel Operation and Maintenance: A Review

A two-stage fuzzy multi-criteria approach for proactive maintenance strategy selection for manufacturing systems

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