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Algabroun, H., Al-Najjar, B. & Ingwald, A. (2019). Assessment of the impact of maintenance integration within a plant using MFD: A case study. In: Lecture Notes in Mechanical Engineering: (pp. 61-71). Pleiades Publishing
Open this publication in new window or tab >>Assessment of the impact of maintenance integration within a plant using MFD: A case study
2019 (English)In: Lecture Notes in Mechanical Engineering, Pleiades Publishing , 2019, p. 61-71Conference paper (Refereed)
Abstract [en]

In the recent decades the recognition of maintenance as an effective part of the company competitiveness has grown. In order to enhance maintenance performance and its positive impact, integration with the rest of the plant activities should be planned and performed. In this study, Maintenance Function Deployment model was applied on a real data of a case company. The model was used to analyse the company’s production with respect to the business and economic variables. This was done first through finding loss causes of the strategic goals of the case company, then breaking down these causes and their costs into their root causes. Based on economic estimations, the results show that the major root causes behind losses are insufficient training of personnel and lack of maintenance integration. It is concluded that properly considering the integration of maintenance within the company’s activities, reduces loss and improves the company’s performance. Also, that applying MFD eases the identification of the root-causes behind losses as well as quantifying and prioritizing the economic losses. © Springer Nature Switzerland AG 2019.

Place, publisher, year, edition, pages
Pleiades Publishing, 2019
Identifiers
urn:nbn:se:lnu:diva-82728 (URN)10.1007/978-3-319-95711-1_7 (DOI)2-s2.0-85056649730 (Scopus ID)
Note

Export Date: 22 May 2019; Book Chapter

Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2019-05-27
Maletič, D., Maletič, M., Al-Najjar, B. & Gomišček, B. (2019). Examination of the Mediating Effects of Physical Asset Management on the Relationship Between Sustainability and Operational Performance. In: Lecture Notes in Mechanical Engineering: (pp. 33-43). Pleiades Publishing
Open this publication in new window or tab >>Examination of the Mediating Effects of Physical Asset Management on the Relationship Between Sustainability and Operational Performance
2019 (English)In: Lecture Notes in Mechanical Engineering, Pleiades Publishing , 2019, p. 33-43Conference paper (Refereed)
Abstract [en]

This study examines the mediating effects of physical asset management on the relationship between sustainability and operational performance. Using empirical data based on survey data from six European countries (i.e. Greece, Poland, Slovakia, Slovenia, Sweden and Turkey), this study utilized mediation analysis in order to address the research problem. A macro for SPSS was used to estimate the size of an indirect effect of sustainability on operational performance through a mediator (physical asset management). Results of this study show mediator effect of physical asset management on the relationship between sustainability and operational performance. The paper provides valuable insights into mechanism that have a potential to enhance operational performance. The results contribute to a better understanding on how organizations could achieve higher operational performance outcomes by implementing sustainability and physical asset management practices. © 2019, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Pleiades Publishing, 2019
Keywords
ISO 55001, Mediation, Operational performance, Physical asset management, Sustainability
Identifiers
urn:nbn:se:lnu:diva-82850 (URN)10.1007/978-3-030-17269-5_3 (DOI)2-s2.0-85065301574 (Scopus ID)
Note

Export Date: 22 May 2019; Book Chapter

Available from: 2019-05-23 Created: 2019-05-23 Last updated: 2019-05-23
Al-Najjar, B. & Algabroun, H. (2018). A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study. In: Engineering Asset Management 2016: Proceedings of the 11th World Congress on Engineering Asset Management. Paper presented at The 11th World Congress on Engineering Asset Management WCEAM), Jiuzhaigou, China, 25–28 July, 2016 (pp. 1-12). Springer
Open this publication in new window or tab >>A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study
2018 (English)In: Engineering Asset Management 2016: Proceedings of the 11th World Congress on Engineering Asset Management, Springer, 2018, p. 1-12Conference paper, Published paper (Refereed)
Abstract [en]

In today’s market, companies strive to achieve the competitive advantages. Failing in achieving these goals could threaten the companies’ existence. Failures in the operative level impact negatively on achieving these goals. In order to record these failures for better actions planning, special systems are often used for counting the number of failures, registering the duration of machines downtime and uptime for assessing the total downtime and classifying problems/failures in categories that are decided in advance. These categories can be Electrical, Electronic, Hydraulic, Mechanical, Pneumatics, Human error, and Miscellaneous. In this study, we develop a model to break down the contents of a company/machine failure databases, prioritize failures, assess economic losses due to failure impact on the competitive advantages and suggest a method of how maintenance actions should be rank-ordered cost-effectively. The model is tested using real data. The major results showed that losses aremainly due to two categories i.e. “Bad quality“ and “Less profit margin”, where failures of “Gear”, “Bearing” and “Raw materials quality” cause most of the losses. It is concluded that this model enables the user to quickly identify and prioritize maintenance and improvement efforts cost-effectively.

Place, publisher, year, edition, pages
Springer, 2018
Series
Lecture notes in Mechanical Engineering, ISSN 2195-4356
Keywords
Maintenance Performance Enhancement; Failures Impacts; Competitive Advantages, Decision Making, Decision Support Systems, Maintenance Impact on Company Business, Significant Failures Identification and Prioritization
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-60782 (URN)10.1007/978-3-319-62274-3_1 (DOI)978-3-319-62274-3 (ISBN)
Conference
The 11th World Congress on Engineering Asset Management WCEAM), Jiuzhaigou, China, 25–28 July, 2016
Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2019-05-20Bibliographically approved
Al-Najjar, B. (2018). CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM. Journal of Maintenance Engineering, 2, 243-256
Open this publication in new window or tab >>CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM
2018 (English)In: Journal of Maintenance Engineering, Vol. 2, p. 243-256Article in journal (Refereed) Published
Abstract [en]

Industry strives towards developing and implementing digitalised and automated production process, Industry 4.0. This states hard terms and conditions to develop new concept-based maintenance to meet the new production process demands. Intelligent and automated condition-based maintenance (CBM) exempli-fied in vibration-based maintenance (VBM) is one of the most suitable techniques for developing a maintenance concept fulfilling the demands stated by Industry 4.0. In this paper, we identified today´s VBM-process activities and their applica-tion, and introduced and discussed their status. In addition, we developed a model that describes future VBM, Cognitive VBM. Then, we compared cognitive VBM with the currently available VBM. The major conclusions are the potential benefit of applying Cognitive VBM is the continuous enhancement of company internal effectiveness in a cost-effective way.

Place, publisher, year, edition, pages
UK: ShieldCrest Publishing Aylesbury, Buckinghamshire, 2018
Keywords
Condition-based Maintenance (CBM); Vibration-based Maintenance (VBM); Cognitive VBM; Digitalised and Automated Maintenance
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-77711 (URN)
Note

Ej belagd 181003

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2019-02-26Bibliographically approved
Maletič, D., Maletič, M., Al-Najjar, B. & Gomišček, B. (2018). Development of a model linking physical asset management to sustainability performance: An empirical research. Sustainability, 10(12), Article ID 4759.
Open this publication in new window or tab >>Development of a model linking physical asset management to sustainability performance: An empirical research
2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 12, article id 4759Article in journal (Refereed) Published
Abstract [en]

This article is aimed at exploring the relationship between physical asset management (PAM)practices and sustainability performance. A framework of interrelated constructs was developed basedon the existing literature and consequently tested through empirical study. Survey data were collectedfrom organizations operating in six European countries (i.e., Greece, Poland, Slovakia, Slovenia,Sweden, and Turkey) and analyzed using Partial Least Squares Path Modeling (PLS-PM). The resultsoffer support for the proposed hypotheses, showing that PAM practices positively influence thesustainability performance outcomes, namely economic, environmental, and employee-related socialperformance. Overall, this study demonstrates that a PAM framework can be conceptualized byfour sub-constructs, namely physical asset risk management, physical asset performance assessment,physical asset lifecycle management, and physical asset policy and strategy. Finally, this studybrings to light some theoretical and managerial implications as well as directions for future research.The findings of the study underscore PAM areas in which managers should focus on in order tooptimize costs, performance, and risk exposures concerning the physical assets, and therefore enhancesustainability performance.

Place, publisher, year, edition, pages
China, Beijing: MDPI, 2018
Keywords
physical asset management; ISO 55001; maintenance; sustainability performance; research model; SEM—PLS
National Category
Business Administration
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-79194 (URN)10.3390/su10124759 (DOI)000455338100425 ()
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2019-02-26Bibliographically approved
Ingwald, A. & Al-Najjar, B. (2018). EcoCon: A System for Monitoring Economicand Technical Performance of Maintenance. In: Engineering Asset Management 2016: Proceedings of the 11th World Congress on Engineering Asset Management. Paper presented at The 11th World Congress on Engineering Asset Management (WCEAM), Jiuzhaigou, China, 25–28 July, 2016 (pp. 85-97). Switzerland: Springer
Open this publication in new window or tab >>EcoCon: A System for Monitoring Economicand Technical Performance of Maintenance
2018 (English)In: Engineering Asset Management 2016: Proceedings of the 11th World Congress on Engineering Asset Management, Switzerland: Springer, 2018, p. 85-97Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance has been treated as a cost-center although it has obviousdirect impact on company production, delivery on time, product quality andconsequently company business. In this paper we develop and test a new system(EcoCon) for monitoring and assessing the economic impact of maintenance on aproduction process. EcoCon is tested using real industrial data collected over3 years. The main findings are that by using EcoCon it is possible to assessmaintenance economic impact on a production process. Also, EcoCon providesdata for analyzing causes behind deviations in maintenance and production performance.It can be applied on companies of similar production process/machine. But,in some cases, the system demands marginal accommodation to suit the differencesin the maintenance economic related factors among companies. EcoCon providesproduction and maintenance mangers reliable overview of maintenance importancethrough monitoring maintenance economic impact by linking technical productionperformance, e.g. downtime, to economic savings/losses generated due to maintenanceperformance and other activities.

Place, publisher, year, edition, pages
Switzerland: Springer, 2018
Series
Lecture notes in Mechanical Engineering, ISSN 2195-4356
Keywords
Maintenance management • Cost-effectiveness • Decision support
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-70422 (URN)10.1007/978-3-319-62274-3_8 (DOI)978-3-319-62274-3 (ISBN)
Conference
The 11th World Congress on Engineering Asset Management (WCEAM), Jiuzhaigou, China, 25–28 July, 2016
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2019-02-26Bibliographically approved
Algabroun, H., Iftikhar, M. U., Al-Najjar, B. & Weyns, D. (2018). Maintenance 4.0 Framework using Self: Adaptive Software Architecture. Journal of Maintenance Engineering, 2, 280-293
Open this publication in new window or tab >>Maintenance 4.0 Framework using Self: Adaptive Software Architecture
2018 (English)In: Journal of Maintenance Engineering, Vol. 2, p. 280-293Article in journal (Refereed) Published
Abstract [en]

With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.

Place, publisher, year, edition, pages
UK: ShieldCrest Publishing Aylesbury, Buckinghamshire, 2018
Keywords
Maintenance 4.0, Maintenance framework, Self-adaptation, Software architecture.
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-77713 (URN)
Note

Ej belagd 181003

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2019-05-20Bibliographically approved
Al-Najjar, B., Algabroun, H. & Jonsson, M. (2018). Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future. International Journal of Engineering Research and Applications, 8(11), 20-31
Open this publication in new window or tab >>Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future
2018 (English)In: International Journal of Engineering Research and Applications, ISSN 2248-9622, E-ISSN 2248-9622, Vol. 8, no 11, p. 20-31Article in journal (Refereed) Published
Abstract [en]

In today's high market competition, industries attempt adapt new technologies retain their market share. With technology advancement in factories, maintenance methods are developed to suit the new manufacturers. demands. Now, with the Industry 4.0, new maintenance techniques have to be developed to fulfill the new demands which we refer to as Maintenance 4.0. Each currently used maintenance technique has its own advantages and disadvantages. Until now it is unclear if these techniques are suitable for Industry 4.0. This study shows how to identify the maintenance technique that is the most suitable to be further developed for Industry 4.0. In this paper, the tasks and features of Maintenance 4.0 are identified, and the suitability of the most popular maintenance techniques is examined with respect to Industry 4.0 demands. This is done by using Multiple Attribute Decision Making combined with the Simple Additive Weight. The results show that Total Quality Maintenance(TQMain) and then Condition Based Maintenance(CBM) are the highest ranked among the examined maintenance techniques, and therefore it is concluded that these maintenance techniques could be used as a based to develop Maintenance 4.0.

Place, publisher, year, edition, pages
IJERA, 2018
Keywords
Maintenance 4.0, maintenance for Industry 4.0, maintenance for smart factories, maintenance techniques comparisons.
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Terotechnology; Technology (byts ev till Engineering), Mechanical Engineering; Technology (byts ev till Engineering), Industrial economy; Technology (byts ev till Engineering); Technology (byts ev till Engineering), Mechanical Engineering; Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-81915 (URN)10.9790/9622-0811022031 (DOI)
Projects
PreCoM
Funder
EU, Horizon 2020, 768575.
Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-04-15Bibliographically approved
Al-Najjar, B., Algabroun, H. & Jonsson, M. (2018). Smart maintenance model using cyber physical system. In: Paper presented at the International Conference on "Role of Industrial Engineering in Industry 4.0 Paradigm" (ICIEIND), Bhubaneswar, India, September 27-30, 2018: . Paper presented at International Conference on "Role of Industrial Engineering in Industry 4.0 Paradigm" (ICIEIND), Bhubaneswar, India, September 27-30, 2018 (pp. 1-6).
Open this publication in new window or tab >>Smart maintenance model using cyber physical system
2018 (English)In: Paper presented at the International Conference on "Role of Industrial Engineering in Industry 4.0 Paradigm" (ICIEIND), Bhubaneswar, India, September 27-30, 2018, 2018, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

Modern manufacturing are exposed to rapid and dynamic changes in operating conditions, market demands, national and international competition. Therefore, new generations and concepts of maintenance techniques are necessary to overcome the deficiencies  in the current techniques. The purpose of this paper is to propse a maintenance model that is automatic, digitzalised and intelligent using Cyber Physical System (CPS-Maint). In this paper, we presented comparable maintenance approaches and described their shortages. Thereafter, we developed a new maintenance model. Then, A simulation using LabVIEW is conducted  to examin the model and its behavior. The results showed that the required tasks are performed with no conflict among its components. The major result is the development of CPS-Maint and the major conclusion is applying CPS-Maint fulfills industry needs. This paper provides a framework that could help developers and researchers in desining and developing an automatic and smart maintenance system.

Keywords
Decision support system, E-maintenance, Industrial maintenance, Intelligent maintenance, Cyber Physical System for maintenance, Automatic Maintenance, Condition Based Maintenance
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Terotechnology; Technology (byts ev till Engineering), Mechanical Engineering; Technology (byts ev till Engineering), Industrial economy
Identifiers
urn:nbn:se:lnu:diva-81912 (URN)
Conference
International Conference on "Role of Industrial Engineering in Industry 4.0 Paradigm" (ICIEIND), Bhubaneswar, India, September 27-30, 2018
Funder
EU, Horizon 2020, 768575
Note

Ej belagd 190415

Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-04-15Bibliographically approved
Maletič, D., Maletič, M., Al-Najjar, B. & Gomišček, B. (2017). Asset life cycle management: towards improving operational performance. In: Su Mi Dahlgaard-Park and Jens J. Dahlgaard (Ed.), 20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör: . Paper presented at 20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör (pp. 1-7). Lund, Sweden: Lund University Library Press
Open this publication in new window or tab >>Asset life cycle management: towards improving operational performance
2017 (English)In: 20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör / [ed] Su Mi Dahlgaard-Park and Jens J. Dahlgaard, Lund, Sweden: Lund University Library Press , 2017, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

Purpose – The purpose of this paper is to analyse the links between physical asset management policy and strategy, life cycle management of physical assets and operational performance. Even though there is some empirical evidence that physical asset management practices associate with performance outcomes of an organization, there is a need to further explore the interrelationship between physical asset management practices and organizational performance outcomes.Methodology/Approach – The data used in this study were obtained from a research project conducted by a team of international researchers in the field of maintenance and asset management. The target survey population consisted of international e-mail lists of managers across a wide range of functions. In total, 138 usable responses were collected during the given time window. The questionnaire was responded by organizations that are located in located in Slovenia, Poland, Greece, Sweden, Turkey and Slovakia, in portion of 31.9%, 34.1%, 16.7%, 6.5%, 5.8% and 5.1%, respectively. In terms of organizational size (following the guidelines of the Statistical Office of the Republic of Slovenia), 12.2% of the sample was composed of micro-enterprises having five or fewer employees, 17.4% were small-sized organizations employing 50 or less employees, 31.3% were medium sized organizations, employing 51–250 employees, 21.7% organizations were with 251–500 employees and 12.2% organizations were with more than 500 employees. Based upon Slovenian Standard Industrial Classification Codes (SIC), most respondents (39.3%) indicated that their organization is in the manufacturing industry.We applied the Partial Least Squares Path Modeling (PLS-PM) using the R package plspm to assess measurement and structural model (Sanchez, 2013). The method is suitable for studying complex multivariate relationships among observed and latent variables. PLS-PM uses an iterative algorithm that firstly provides weights, loadings and other relevant statistics for estimation of the blocks of the measurement model. Subsequently, PLS-PM algorithm estimates the path coefficients in the structural model (Esposito Vinzi et al., 2010).Findings – Within the scope of PLS-PM measurement model (outer model) assessment, loadings and communalities were checked. As suggested by Sanchez (2013) loadings should be above the value of 0.7. The outer model assessment results (loadings, weights and communalities) for studied constructs are presented in Appendix 1 and 2. According to the results, characteristics of measurement model appears to be suitable for further analysis of PLS-PM. There were a few indicators with loadings just below the recommended value of 0.7, however, they were kept in the measurement model due to content considerations.

Place, publisher, year, edition, pages
Lund, Sweden: Lund University Library Press, 2017
Keywords
Asset life cycle, operational performance
National Category
Business Administration
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-77428 (URN)
Conference
20th QMOD-ICQSS Conference 2017, 4-7 August, 2017, Helsingör
Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2019-02-26Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8205-8289

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