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Maletič, D., Maletič, M., Al-Najjar, B. & Gomišček, B. (2022). Continuous Quality Improvement and Business Performance: The Mediating Role of Physical Asset Management. In: Pinto J.O., Kimpara M.L., Reis R.R., Seecharan T., Upadhyaya B.R., Amadi-Echendu J. (Ed.), WCEAM 2021: . Paper presented at 15th ISEAM flagship World Congress on Engineering Asset Management, WCEAM 2021, Virtual, Online, 15-18 August 2021 (pp. 22-32). Springer
Open this publication in new window or tab >>Continuous Quality Improvement and Business Performance: The Mediating Role of Physical Asset Management
2022 (English)In: WCEAM 2021 / [ed] Pinto J.O., Kimpara M.L., Reis R.R., Seecharan T., Upadhyaya B.R., Amadi-Echendu J., Springer, 2022, p. 22-32Conference paper, Published paper (Refereed)
Abstract [en]

This study examines the mediating effects of physical/engineering asset management on the relationship between continuous quality improvement and business performance. Using empirical data based on survey data from six European countries (i.e. Greece, Poland, Slovakia, Slovenia, Sweden and Turkey), this study used mediation analysis to address the research problem. A macro for SPSS was used to estimate the size of an indirect effect of continuous quality improvement on business performance by a proposed mediator. The results of this study show that physical asset management mediates the effect of continuous quality improvement on business performance. This study provides valuable insights into mechanisms that have the potential to improve business performance. The results contribute to a better understanding of how companies could achieve higher performance outcomes through the introduction of continuous quality improvement and through physical asset management practices. 

Place, publisher, year, edition, pages
Springer, 2022
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-118117 (URN)10.1007/978-3-030-96794-9_3 (DOI)000789418000003 ()2-s2.0-85127687130 (Scopus ID)9783030967932 (ISBN)
Conference
15th ISEAM flagship World Congress on Engineering Asset Management, WCEAM 2021, Virtual, Online, 15-18 August 2021
Available from: 2023-01-03 Created: 2023-01-03 Last updated: 2023-04-06Bibliographically approved
Algabroun, H., Bokrantz, J., Al-Najjar, B. & Skoogh, A. (2022). Development of digitalised maintenance: a concept. Journal of Quality in Maintenance Engineering, 28(2), 367-390
Open this publication in new window or tab >>Development of digitalised maintenance: a concept
2022 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 28, no 2, p. 367-390Article in journal (Refereed) Published
Abstract [en]

Purpose This paper presents a concept for digitalised maintenance (DM), maps the conceptualised DM to maintenance problems in industries and highlights challenges that might be faced when realizing this concept. Design/methodology/approach First, maintenance problems that are faced by the industry are presented, followed by a conceptualisation of DM. Next, a typical operational scenario is used as an exemplification to show system dynamics. The characteristics of this conceptualised DM are then mapped to the identified maintenance problems of industry. Then, interesting initiatives in this domain are highlighted, and finally, the challenges to realize this approach are discussed. Findings This paper identified a set of problems related to maintenance in industry. In order to solve current industrial problems, exploit emerging digital technologies and elevate future industries, it will be necessary to develop new maintenance approaches. The mapping between the criteria of DM and maintenance problems shows the potential of this concept and gives a reason to examine it empirically in future work. Originality/value This paper aims to help maintenance professionals from both academia and industry to understand and reflect on the problems related to maintenance, as well as to comprehend the requirements of a digitalised maintenance and challenges that may arise.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2022
Keywords
E-maintenance, System design, Industrial maintenance, Decision support system, Intelligent maintenance, Industrial internet
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-100599 (URN)10.1108/JQME-04-2019-0039 (DOI)000604655500001 ()2-s2.0-85098497934 (Scopus ID)
Note

Available from: 2021-01-27 Created: 2021-01-27 Last updated: 2023-04-06Bibliographically approved
Alexopoulos, K., Hribrenik, K., Surico, M., Nikolakis, N., Al-Najjar, B., Keraron, Y., . . . Makris, S. (Eds.). (2021). Predictive maintenance technologies for production systems: A roadmap to development and implementation.. ForeSee Cluster
Open this publication in new window or tab >>Predictive maintenance technologies for production systems: A roadmap to development and implementation.
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2021 (English)Collection (editor) (Refereed)
Abstract [en]

High added-value products manufacturing methods are undergoing a continuous evolution nowadays, aiming to get higher productivity rates, product quality and reduction of defective products. Manufacturing companies increasingly use condition monitoring solutions and Predictive Maintenance (PdM) solutions to guarantee the intended usage of production equipment and to avoid unplanned downtimes. As such, this white paper presents a review of the lessons learned from the point of view of six EU funded H2020 research projects (PRECOM, PROPHESY, PROGRAMS, SERENA, UPTIME and Z-BREAK), funded under the topic “FOF-09-2017 - Novel design and PdM technologies for increased operating life of production systems”. These projects were active from 2017 to 2021 and together constituted the ForeSee cluster. Research and technology partners together with industrial end-users worked collaboratively to develop and deploy solutions that advance maintenance practice in industry towards more efficient, sustainable, human-centric and resilient factories. This white paper aims to share knowledge, vision and lessons learnt by ForeSee cluster partners on the topic of PdM, as well as to provide recommendations for advancing PdM in industrial practice. The core target groups of this report are industry practitioners, people in academia and policy makers at the local, national and EU levels.  The technologies that have acted as key-enablers in several of the ForeSee cluster projects (such as Internet of Things, Digital Twin, Proactive Computing, Virtual/Augmented Reality and linked data) are discussed in this document. Furthermore, the skilling of personnel, as well as the use of standardized technologies and processes are cross-cutting issues pertinent to ForeSee projects and their role in PdM projects is presented. The evaluation of these concepts and technologies in ForeSee industrial cases has proven their significance to industrial practice. The validation phase in industrial cases has served the ForeSee cluster with the provision of the following lessons learnt and recommendations for successful adoption of technology and best practices.  

Lessons learned:

✓ Need for the development of structured data repositories with Industry4.0 and PdM datasets  

✓ Availability for testbeds for PdM, condition-based maintenance and intelligent asset management

✓ Adjustment of AI-based Maintenance and Asset Management Systems to facilitate accessibility by the non-experts

✓ Standardization, data and semantics interoperability, as necessary enablers to support the diverse software, hardware as well as business process landscape in asset management. Recommendations

✓ Business models for Condition Based Maintenance and Intelligent Asset Management should be further investigated

✓ Mobile Management - Mobile-First Condition Based Maintenance are important concepts that could benefit the adoption of CBM and PdM strategies  

✓ Smart and Autonomous Objects should be further considered when it comes to data collection, inspection, data collection and communication.  

✓ Adequate actions for Training - Education - Lifelong Learning of people working closely with advanced data and Internet of Things technologies should be considered.  (21) (PDF) Predictive maintenance technologies for production systems. A roadmap to development and implementation.

Place, publisher, year, edition, pages
ForeSee Cluster, 2021. p. 99
Keywords
Predictive maintenance, diagnosis, prediction, AR, AI, cyber physical systems.
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-107176 (URN)
Projects
Predictive cognitive descision support system, H2020-FoF09, 2017-2021
Available from: 2021-09-30 Created: 2021-09-30 Last updated: 2023-05-02Bibliographically approved
Al-Najjar, B. & Jönsson, M. (2021). Pre-Study: Info & technology needed for Cloud based smart sustainable integrated production-maintenance system. E-maintenance Sweden AB
Open this publication in new window or tab >>Pre-Study: Info & technology needed for Cloud based smart sustainable integrated production-maintenance system
2021 (English)Report (Refereed)
Abstract [en]

The project had several objectives, such as gathering and preparing the required information to highlight the problems and challenges experienced by the factories of AstraZeneca (AZ) and Ericsson in India and Sweden: Identifying the knowledge, tools, and technologies that are necessary for solving/meeting the problems/challenges experienced by these factories: Preparing for a new joint project, Smart sustainable integrated production-maintenance (Smart-Pro) system: and identifying additional Indians partners in the spirit of the collaboration between Sweden and India.The project consisted of three WPs (WP1, WP2 and WP3) which were interdependent. WP1 was responsible of management, administration, supporting WPs, transferring knowledge and experience between WPs, develop a conceptual model and the final reports.WP2 responsibilities were identifying the problems/challenges experienced as well as new Indian partners. Therefore, WP2 started by gathering the information needed for the analysis of the production and maintenance processes at the factories. WP3 was responsible of identifying the knowledge, tools and technologies needed to solve/meet the problems/challenges identified by WP2. The planned objectives of WP2 and WP3 have been achieved and reported.Based on the achieved results by WP2 and WP3, WP1 developed a conceptual model describing Smart-Pro system for effective production planning, scheduling, follow up and decision making. In addition, it is also described a Plug-and-Play solution for automatic detection-localizing of damages, damage severity estimation, predicting damage development, recommending what, where and when to act cost-effectively to maintain production process quality.

Place, publisher, year, edition, pages
E-maintenance Sweden AB, 2021. p. 24
Keywords
Production-maintenance integration, smart PdM
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-110229 (URN)
Projects
Vinnova funded project- Pre-Study: Info & technology needed for Cloud based smart sustainable integrated production-maintenance system 98 /
Funder
Vinnova, 2020-04815
Available from: 2022-02-08 Created: 2022-02-08 Last updated: 2022-02-08Bibliographically approved
Al-Najjar, B., Aiyshwaryaa, Z. & Patel, M. (2021). SmartPro Vinnova Report.
Open this publication in new window or tab >>SmartPro Vinnova Report
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2021 (English)Report (Refereed)
Abstract [en]

This report presents the findings of WP2 with respect to challenges and use-cases relevant to smart production and maintenance systems. WP2 gathers information and determines the challenges the industrial partners (Astra Zeneca and Ericsson) in Sweden and India have. These challenges have been translated into concrete problems and purposes, which finally describes a main project problem and purpose. WP2 also focuses on specific use cases where smart automation and information gathering can help relieve potential bottlenecks. An exhaustive study of technologies and challenges has also been included. It is the view of WP2 that smart production maintenance technologies should be bundled with other solutions to have an increased impact within factory production systems. At the current stage, production maintenance is a secondary aspect in both Astra Zeneca and Ericsson factories.

Publisher
p. 54
Keywords
Production process, production challenges, needed technologies
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-110227 (URN)
Projects
Vinnova funded project- Pre-Study: Info & technology needed for Cloud based smart sustainable integrated production-maintenance system 98 /
Funder
Vinnova, 2020-04815
Available from: 2022-02-08 Created: 2022-02-08 Last updated: 2022-02-08Bibliographically approved
Al-Najjar, B., Slabon, A., Chezhianvelu, A. & Jönsson, M. (2021). Technologies needed for Smart Pro meeting industrial challenges and problems. Växjö: E-Maintenance Sweden AB
Open this publication in new window or tab >>Technologies needed for Smart Pro meeting industrial challenges and problems
2021 (English)Report (Refereed)
Abstract [en]

The major goal of the pre-study is to identify and prepare the required information, knowledge, tools, modules, and technologies for a project within Smart Manufacturing in the spirit of the collaboration between Sweden and India.WP3 focus is: Identification of the technologies needed to be considered in Smart-Pro project as an Innovation action. This means that the input technologies that will be identified in the Pre-study project should be in about TRL 3-, and the demonstrated results of Smart-Pro should be in about TRL 6-7. Smart Pro project will be based on effective collaboration between universities/research institutes and industry.In WP3, we will develop a list of the tools, methods, modules and technologies (in the areas below) which are available at the members of the Pre-study consortium (and in industry in general), and necessary for developing Smart-Pro system.According to the project description, WP3 has two Tasks:• T3.1: Production-maintenance technologies needed for Smart-Pro.• T3.2: Communication and integration technologies needed for Smart-Pro.The tasks have been distributed between E-maintenance AB (Emaint), which the leader of the WP and the two tasks, Linnaeus University (LNU), Uppsala University (UU) and Stockholm University (SU).

Place, publisher, year, edition, pages
Växjö: E-Maintenance Sweden AB, 2021. p. 22
Keywords
Vibration monitoring, Condition monitoring, Ttribology
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-110230 (URN)
Projects
Vinnova funded project- Pre-Study: Info & technology needed for Cloud based smart sustainable integrated production-maintenance system 98 /
Funder
Vinnova, 2020-04815
Available from: 2022-02-08 Created: 2022-02-08 Last updated: 2022-02-08Bibliographically approved
Algabroun, H., Al-Najjar, B. & Jonsson, M. (2020). A framework for the integration of digitalised maintenance systems with relevant working areas: A case study. In: Ajith Parlikad, Christos Emmanouilidis, Benoit Iung, Marco Macchi (Ed.), 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020: . Paper presented at 4th International-Federation-of-Automatic-Control (IFAC) Workshop on Advanced Maintenance Engineering, Services and Technologies (AMEST), SEP 10-11, 2020, Cambridge, ENGLAND (pp. 185-190). Elsevier, 53(3)
Open this publication in new window or tab >>A framework for the integration of digitalised maintenance systems with relevant working areas: A case study
2020 (English)In: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020 / [ed] Ajith Parlikad, Christos Emmanouilidis, Benoit Iung, Marco Macchi, Elsevier, 2020, Vol. 53, no 3, p. 185-190Conference paper, Published paper (Refereed)
Abstract [en]

To enhance maintenance performance, maintenance integration with relevant activities should be planned and performed. In a digitalised industry, maintenance integration has to deal with various and heterogynous technologies. As the integration of such disparate technologies can be complex, this paper proposes a framework that provides the steps required for the successful integration of digitalised and automated maintenance across the relevant working areas. To develop this framework, we first identified relevant working areas to integrate maintenance with. Next, we identified integration success factors which are then considered in the framework development. The framework was then implemented in a real case study, and results showed that the integration tasks were completed successfully. Based on the case study, the framework provides guidelines for successfully integrating maintenance in a systematic way across the relevant working areas.

Place, publisher, year, edition, pages
Elsevier, 2020
Series
IFAC-PapersOnLine, E-ISSN 2405-8963
Keywords
maintenance integration, industrial revolution, system integration, smart maintenance
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-100289 (URN)10.1016/j.ifacol.2020.11.030 (DOI)000600770000032 ()2-s2.0-85105602424 (Scopus ID)
Conference
4th International-Federation-of-Automatic-Control (IFAC) Workshop on Advanced Maintenance Engineering, Services and Technologies (AMEST), SEP 10-11, 2020, Cambridge, ENGLAND
Available from: 2021-01-20 Created: 2021-01-20 Last updated: 2021-12-08Bibliographically approved
Jadim, R., Ingwald, A. & Al-Najjar, B. (2020). A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers. In: Srikanta Patnaik (Ed.), New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems (pp. 133-144). Springer
Open this publication in new window or tab >>A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers
2020 (English)In: New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems / [ed] Srikanta Patnaik, Springer, 2020, p. 133-144Chapter in book (Refereed)
Abstract [en]

In recent years, many unplanned hazard failures of oil-filled electrical transformers have been reported due to presence of corrosion in form of semi-conductor Copper Sulphide (Cu2S) which result in formation Corrosive Sulphur Deposition (CSD) on the significant internal components. Formation of CSD leads to a continuous current path lead to overheating fault and deterioration of insulation system which can turn towards transformer failure. The purpose of this study is to establish an efficient maintenance plan of corrosion based on relevant Condition Monitoring (CM) to reduce the transformer failures. In this paper, many investigations have been reviewed to get sufficient data to understand and describe currently applied CM for diagnose the corrosion inside the transformers. The problem addressed is: is the currently applied CM relevant for early and definitely detection of the corrosion to reduce the probability of failures? The major result is the described gaps between the currently applied CM and selection of relevant CM suggested for providing definitely indication of corrosion. The currently CM implies two techniques; oil analysis based only on evaluation the quality of the oil against corrosion and electrical testing based on the variation of electrical properties of the transformer which can be occurred due to corrosion process as well as other faults. Conclusion of this review is a need to develop a relevant CM of corrosion for establishing a dynamic cost-effective Condition Based Maintenance (CBM) to prevent unplanned hazard failures at early stage which can reduce the negative impacts such as industries economic loss and hazard effect on manpower life as well as environment.

Place, publisher, year, edition, pages
Springer, 2020
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-107612 (URN)10.1007/978-3-030-25778-1_6 (DOI)2-s2.0-85132934143 (Scopus ID)9783030257774 (ISBN)9783030257781 (ISBN)
Available from: 2021-10-20 Created: 2021-10-20 Last updated: 2022-11-17Bibliographically approved
Maletic, D., Maletic, M., Al-Najjar, B. & Gomiscek, B. (2020). An Analysis of Physical Asset Management Core Practices and Their Influence on Operational Performance. Sustainability, 12(21), 1-20, Article ID 9097.
Open this publication in new window or tab >>An Analysis of Physical Asset Management Core Practices and Their Influence on Operational Performance
2020 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 12, no 21, p. 1-20, article id 9097Article in journal (Refereed) Published
Abstract [en]

The commitment of organisations to physical assets management (PAM) has recently received considerable attention in theory and practice. Indeed, PAM plays a key role in asset-intensive organizations and is also considered as a principal actor within Industry 4.0. Therefore, this paper aims to examine the PAM core practices and the performance implications of integrating these practices into business, in particular by assessing their impact on operational performance. Survey data were collected from managers in 138 international and local organisations. The data was analysed using Partial Least Squares Path Modeling (PLS-PM). The study validates the second-order construct consisting of PAM latent variables, namely Strategy and Planning, Risk management, Lifecycle Delivery, Asset Information, and Asset Review. The results have shown that PAM core practices directly influence operational performance. This paper is a response to recent calls for empirical studies on the organisational approaches that can increase the success of organisations.

Place, publisher, year, edition, pages
MDPI, 2020
Keywords
physical asset management, operational performance, ISO 55001, PLS-PM
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-99910 (URN)10.3390/su12219097 (DOI)000589233400001 ()2-s2.0-85094838371 (Scopus ID)
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2022-02-10Bibliographically approved
Algabroun, H., Al-Najjar, B. & Ingwald, A. (2019). Assessment of the impact of maintenance integration within a plant using MFD: A case study. In: Joseph MathewC.W. LimLin MaDon SandsMichael E. CholettePietro Borghesani (Ed.), Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Paper presented at 12th World Congress on Engineering Asset Management (WCEAM, Brisbane, 2 – 4 August 2017 (pp. 61-71). Springer
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: Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery / [ed] Joseph MathewC.W. LimLin MaDon SandsMichael E. CholettePietro Borghesani, Springer, 2019, p. 61-71Conference paper, Published 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
Springer, 2019
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Other Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-82728 (URN)10.1007/978-3-319-95711-1_7 (DOI)2-s2.0-85056649730 (Scopus ID)978-3-319-95710-4 (ISBN)978-3-319-95711-1 (ISBN)
Conference
12th World Congress on Engineering Asset Management (WCEAM, Brisbane, 2 – 4 August 2017
Note

Export Date: 22 May 2019; Book Chapter

Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2020-10-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8205-8289

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