The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral

Jasiulewicz-Kaczmarek, Małgorzata; Żywica, Patryk

doi:10.17531/ein.2018.4.16

Cited by 39 publications

(27 citation statements)

References 47 publications

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“…An adequate and effective training program would beneficial in detecting the abnormalities of the equipment condition at the early stage [53,54]. Such report from literature, have triggered the researcher to observe on how SMEs manages the training and education related to MM program.…”

Section: -7-maintenance Trainingmentioning

confidence: 99%

Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach

et al. 2021

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This paper outlines on the preliminary outcomes of pilot project aimed at exploring the issue related to managing of maintenance activity in the Malaysian Small and Medium Enterprises (SMEs). SMEs have been accepted as vital components of domestic industry development in many countries. However, the literature portrays that many of Malaysian SMEs particularly the companies involved in manufacturing, fabrication and machining services are struggling to manage the maintenance of their manufacturing equipment. Dependable manufacturing equipment is important factor towards organizational profitability. Managing the maintenance activity of those manufacturing equipment nowadays, is becoming more challenging due to automation and computerization. Due to such issues, SMEs companies are under stiff pressure to minimize lost time for their survival. Thus, this study seeks to explore the related issues towards further improvements. Qualitative research methodology was adopted in the study. Data were collected at eight (8) SMEs located in three (3) different areas, namely southern, central and eastern region of peninsular Malaysia. Information was gathered from semi-structured interviews with SMEs management and observations focuses on different areas of maintenance management at the respective SMEs. The main concern is to validate the critical success factors (CSFs) in managing the maintenance activity at selected SMEs. This study discovered that nine (9) CSFs are having the most significant impact towards improving the maintenance management practice for SMEs. These include: understanding the MM philosophy; management commitment and leadership; maintenance strategy; maintenance planning; maintenance training; monitoring and assessment; appropriate number of maintenance staff; integration of tools, techniques and technology, and; record of maintenance data. All those CSFs construct are integrated in a simple yet self-explanatory MM Framework to convey the conceptual idea of MM implementation program to the management and technical people within SMEs. It is believed that the MM Framework developed would serve as an indicator of company’s MM focus level. Through the identification of the CSFs constructs, the SMEs can utilize the information to improve their approach in systematic MM program. The discovered CSFs are vital for all stakeholders that directly or indirectly involve in managing the maintenance activity in SMEs. Doi: 10.28991/esj-2021-01283 Full Text: PDF

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Section: -7-maintenance Trainingmentioning

confidence: 99%

Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach

et al. 2021

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“…Lin, Yuan, and Tovilla use a continuous Markov chain model in a stochastic decision model that combines the effectiveness of maintenance activities and natural changes in state [42]. Jasiulewicz-Kaczmarek andŻywica use the non-additive fuzzy integral and balanced scorecard in the maintenance process [43]. In [44], the authors proposed a scorecard model that allows for monitoring the maintenance process in an enterprise.…”

Section: Decision Support Systems In Maintenance Managementmentioning

confidence: 99%

The Use of Artificial Intelligence Methods to Assess the Effectiveness of Lean Maintenance Concept Implementation in Manufacturing Enterprises

2020

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The increase in the performance and effectiveness of maintenance processes is a continuous aim of production enterprises. The elimination of unexpected failures, which generate excessive costs and production losses, is emphasized. The elements that influence the efficiency of maintenance are not only the choice of an appropriate conservation strategy but also the use of appropriate methods and tools to support the decision-making process in this area. The research problem, which was considered in the paper, is an insufficient means of assessing the degree of the implementation of lean maintenance. This problem results in not only the possibility of achieving high efficiency of the exploited machines, but, foremost, it influences a decision process and the formulation of maintenance policy of an enterprise. The purpose of this paper is to present the possibility of using intelligent systems to support decision-making processes in the implementation of the lean maintenance concept, which allows the increase in the operational efficiency of the company’s technical infrastructure. In particular, artificial intelligence methods were used to search for relationships between specific activities carried out under the implementation of lean maintenance and the results obtained. Decision trees and rough set theory were used for the analysis. The decision trees were made for the average value of the overall equipment effectiveness (OEE) indicator. The rough set theory was used to assess the degree of utilization of the lean maintenance strategy. Decision rules were generated based on the proposed algorithms, using RSES software, and their correctness was assessed.

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“…2). This development was influenced mainly by the fierce development of the technical equipment of the companies and, last but not least, by the pressure to rationalize the process and save the costs [10,18,21]. Each of the above mentioned maintenance management systems includes more or less the previous level, as the TPM contains the basic philosophy of all these previous maintenance approaches [4].…”

Section: Principle Of Total Productive Maintenancementioning

confidence: 99%

Potential of Using TPM to Increase the Efficiency of Production Processes

et al. 2020

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The goal of the submitted paper is to implement the principles of TPM and to achieve almost 100% usability of machines, when there will be no failures and unwanted incidents. The effectiveness of implementing the TPM principles has been experimentally verified in an engineering company. Workplaces for the assembly of rails on Unimatic lines were chosen as a pilot workplace. Prior to the implementation of the TPM, analyses of technical downtime and unplanned shutdowns of the manufacturing devices due to failures, unplanned repairs and maintenance were carried out. The resulting analysis concentrated mainly on two main variables-total cumulative technical downtime at individual workplaces and frequency of occurrence of failures in individual sections of the workplaces. The presented approach and the results obtained underline the importance of applying the TPM principles in practice and their indisputable contribution to the ability to increase business performance. The TPM's progressive maintenance management system represents a prerequisite for the reduction of production costs and losses resulting from unscheduled failures now and in the future.

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The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral

Cited by 39 publications

References 47 publications

Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach

Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach

The Use of Artificial Intelligence Methods to Assess the Effectiveness of Lean Maintenance Concept Implementation in Manufacturing Enterprises

Potential of Using TPM to Increase the Efficiency of Production Processes

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