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Machine criticality assessment for productivity improvement: Smart maintenance decision support

Gopalakrishnan, Maheshwaran, 1987 (author)
Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Dept Ind & Mat Sci, Gothenburg, Sweden.
Skoogh, Anders, 1980 (author)
Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Dept Ind & Mat Sci, Gothenburg, Sweden.
Salonen, Antti (author)
Mälardalens högskola,Innovation och produktrealisering
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Asp, Martin (author)
Volvo Group,Volvo Grp Truck Operat, Skövde, Sweden.
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Chalmers tekniska högskola Chalmers Univ Technol, Dept Ind & Mat Sci, Gothenburg, Sweden (creator_code:org_t)
EMERALD GROUP PUBLISHING LTD, 2019
2019
English.
In: International Journal of Productivity and Performance Management. - : EMERALD GROUP PUBLISHING LTD. - 1741-0401 .- 1758-6658. ; 68:5, s. 858-878
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Annan maskinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)

Keyword

Bottleneck
Productivity

Publication and Content Type

art (subject category)
ref (subject category)

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