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Article
Publication date: 1 May 2002

Anders Ljungberg

Presents a framework for the development of process measurement systems. The purpose can be described as reflecting a strong need for increased knowledge of the development of…

3362

Abstract

Presents a framework for the development of process measurement systems. The purpose can be described as reflecting a strong need for increased knowledge of the development of process‐oriented measurement systems for analysing the order process, as well as knowledge concerning the prerequisites for this development and the potential effects it can have. The research subordinated a systems approach together with elements of the actor‐based approach. The research area’s boundary spanning character required an interdisciplinary integration of knowledge. The research process encompassed an extensive study of the literature, as well as a field study and a major case study carried out in the form of action research. The author’s present occupation as a management consultant has also been important for the verification of the results presented. Presents an eight‐step model for developing a measurement system for a specific process. Special attention is given to the step of deriving and selecting the actual measures. The framework also includes a suggestion for measurement system, a process measure classification model and a discussion of the measurement needs of the process‐oriented organisation.

Details

International Journal of Physical Distribution & Logistics Management, vol. 32 no. 4
Type: Research Article
ISSN: 0960-0035

Keywords

Available. Open Access. Open Access
Article
Publication date: 3 October 2016

Jon Bokrantz, Anders Skoogh, Torbjörn Ylipää and Johan Stahre

A common understanding of what events to regard as production disturbances (PD) are essential for effective handling of PDs. Therefore, the purpose of this paper is to answer the…

5704

Abstract

Purpose

A common understanding of what events to regard as production disturbances (PD) are essential for effective handling of PDs. Therefore, the purpose of this paper is to answer the two questions: how are individuals with production or maintenance management positions in industry classifying different PD factors? Which factors are being measured and registered as PDs in the companies monitoring systems?

Design/methodology/approach

A longitudinal approach using a repeated cross-sectional survey design was adopted. Empirical data were collected from 80 companies in 2001 using a paper-based questionnaire, and from 71 companies in 2014 using a web-based questionnaire.

Findings

A diverging view of 21 proposed PD factors is found between respondents in manufacturing industry, and there is also a lack of correspondence with existing literature. In particular, planned events are not classified and registered to the same extent as downtime losses. Moreover, the respondents are often prone to classify factors as PDs compared to what is actually registered. This diverging view has been consistent for over a decade, and hinders companies to develop systematic and effective strategies for handling of PDs.

Originality/value

There has been no in-depth investigation, especially not from a longitudinal perspective, of the personal interpretation of PDs from people who play a central role in achieving high reliability of production systems.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 8
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 9 January 2017

Torbjörn Ylipää, Anders Skoogh, Jon Bokrantz and Maheshwaran Gopalakrishnan

The purpose of this paper is to identify maintenance improvement potentials using an overall equipment effectiveness (OEE) assessment within the manufacturing industry.

2958

Abstract

Purpose

The purpose of this paper is to identify maintenance improvement potentials using an overall equipment effectiveness (OEE) assessment within the manufacturing industry.

Design/methodology/approach

The paper assesses empirical OEE data gathered from 98 Swedish companies between 2006 and 2012. Further analysis using Monte-Carlo simulations were performed in order to study how each OEE component impacts the overall OEE.

Findings

The paper quantifies the various equipment losses in OEE, as well as the factors availability, utilization, speed, quality, and planned stop time. From the empirical findings, operational efficiency losses are found to have the largest impact on OEE followed by availability losses. Based on the results, improvement potentials and future trends for maintenance are identified, including a systems view and an extended scope of maintenance.

Originality/value

The paper provides detailed insights about the state of equipment effectiveness in terms of OEE in the manufacturing industry. Further, the results show how individual OEE components impact overall productivity and efficiency of the production system. This paper contributes with the identification of improvement potentials that are necessary for both practitioners and academics to understand the new direction in which maintenance needs to move. The authors argue for a service-oriented organization.

Details

International Journal of Productivity and Performance Management, vol. 66 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

Available. Open Access. Open Access
Article
Publication date: 16 January 2019

Maheshwaran Gopalakrishnan, Anders Skoogh, Antti Salonen and Martin Asp

The purpose of this paper is to increase productivity through smart maintenance planning by including productivity as one of the objectives of the maintenance organization…

5643

Abstract

Purpose

The purpose of this paper is to increase productivity through smart maintenance planning by including productivity as one of the objectives of the maintenance organization. Therefore, the goals of the paper are to investigate existing machine criticality assessment and identify components of the criticality assessment tool to increase productivity.

Design/methodology/approach

An embedded multiple case study research design was adopted in this paper. Six different cases were chosen from six different production sites operated by three multi-national manufacturing companies. Data collection was carried out in the form of interviews, focus groups and archival records. More than one source of data was collected in each of the cases. The cases included different production layouts such as machining, assembly and foundry, which ensured data variety.

Findings

The main finding of the paper is a deeper understanding of how manufacturing companies assess machine criticality and plan maintenance activities. The empirical findings showed that there is a lack of trust regarding existing criticality assessment tools. As a result, necessary changes within the maintenance organizations in order to increase productivity were identified. These are technological advancements, i.e. a dynamic and data-driven approach and organizational changes, i.e. approaching with a systems perspective when performing maintenance prioritization.

Originality/value

Machine criticality assessment studies are rare, especially empirical research. The originality of this paper lies in the empirical research conducted on smart maintenance planning for productivity improvement. In addition, identifying the components for machine criticality assessment is equally important for research and industries to efficient planning of maintenance activities.

Details

International Journal of Productivity and Performance Management, vol. 68 no. 5
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 31 December 2020

Hatem Algabroun, Jon Bokrantz, Basim Al-Najjar and Anders Skoogh

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…

587

Abstract

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.

Details

Journal of Quality in Maintenance Engineering, vol. 28 no. 2
Type: Research Article
ISSN: 1355-2511

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Abstract

Details

Stories and Lessons from the World's Leading Opera, Orchestra Librarians, and Music Archivists, Volume 2: Europe and Asia
Type: Book
ISBN: 978-1-80262-659-9

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Book part
Publication date: 25 January 2021

Desalegn Abraha and Akmal S. Hyder

The method applied to carry out the study of the transformation of strategic alliances in emerging markets is discussed in this chapter. Specifically, this chapter discusses how…

Abstract

The method applied to carry out the study of the transformation of strategic alliances in emerging markets is discussed in this chapter. Specifically, this chapter discusses how the whole study is conducted, i.e. the identification and development of the research issues, the research aim and problem, the development of the conceptual framework, the development of the research method, how the empirical study is analyzed and conclusions are drawn. The specific research strategy applied to conduct the current study is a longitudinal research approach. A short discussion on how the ECE countries are classified into various groups is conducted in the current chapter and a detailed discussion on the classification of ECE countries into different groups is also conducted in chapter eight. Moreover, the logic for adopting a longitudinal research strategy to conduct the current study of the transformation of strategic alliances is also justified. The identification and choice of the case companies, the logic followed in the development of the questionnaire and how much and to what extent the questionnaire is modified are also discussed in detail. The identification of the interviewees, the execution of the interviews and the transcription of the interview materials and the structuring of the cases are also discussed in detail.

Details

Transformation of Strategic Alliances in Emerging Markets, Volume I
Type: Book
ISBN: 978-1-80043-745-6

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