Downtime Costing—Attitudes in Swedish Manufacturing Industry

Salonen, Antti; Tabikh, Mohamad

doi:10.1007/978-3-319-27064-7_53

Cited by 17 publications

(10 citation statements)

References 3 publications

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“…[5, p.136]. This definition aligns with the study by Salonen and Tabikh [6], stating that the cost of an unplanned stop is about five times the cost of a planned stop. But as Salonen and Deleryd [7] and Bengtsson and Salonen [8] points out, it is also essential to avoid more planned PM than necessary.…”

Section: Introductionmentioning

confidence: 61%

The Possibilities of Improving Maintenance Through CMMS Data Analysis

Salonen

Bengtsson

Fridholm³

2020

Advances in Transdisciplinary Engineering

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Maintenance of production equipment is one of the most critical support actions in manufacturing companies for staying competitive. More recently, with the introduction of Industry 4.0, academia, as well as industry, put a lot of effort into condition monitoring in order to implement predictive maintenance. Most stakeholders agree that maintenance need to be more data-driven. However, in order to draw true advantage of data-driven decisions, it is necessary for manufacturing companies to have implemented basic maintenance to a high standard in order to reduce for example: recurring failures, human errors, unsafe machines, etc. The real-time data can then be used to improve efficiency of maintenance tasks and schedule that adds value to the processes. In manufacturing industry, maintenance actions are commonly administered in a Computerized Maintenance Management System, CMMS, still, rather few companies analyze their maintenance records. Behind these data there is often a treasure of improvement opportunities that could be used to improve basic maintenance. The purpose of this paper is to explore how historical data from a CMMS can be used in order to improve maintenance effectiveness and efficiency of activities. In order to exemplify the possibilities of analyzing CMMS records, a case study has been performed in a plant, manufacturing driveline components for heavy construction vehicles. The study shows that one major obstacle for utilizing the CMMS data is poor description of faults and failures when it comes to work order requests, mostly performed by operators and assemblers, as well as work order reporting, mostly performed by repairmen and maintenance technicians. However, by thorough analysis of well described corrective maintenance, it is possible for industry to understand the nature of the occurring breakdowns and thus, refine the preventive maintenance program in order to further increase the dependability of the production system.

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Section: Introductionmentioning

confidence: 61%

The Possibilities of Improving Maintenance Through CMMS Data Analysis

Salonen

Bengtsson

Fridholm³

2020

Advances in Transdisciplinary Engineering

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“…Within cost of downtime, researchers commonly differentiate between direct and indirect costs of downtime [29]. The first refers to all costs that are directly related to the repair of the asset, common examples are the labor and material spent to repair the asset.…”

Section: Industrial Cost Of Downtimementioning

confidence: 99%

“…In order to keep the different distributions comparable, all distribution have the same mean cost slope ofs = 890 following Salonen's [29] study in the Swedish manufacturing industry. Given the distributions introduced in section 3.2, the normal and uniform distribution are fully specified by a mean and variance (distribution parameters can be calculated accordingly).…”

Section: Simulation Parameters Experiments Factors and Design Of Expmentioning

confidence: 99%

On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance

Wolff

Reuter-Oppermann

Kühl

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Today, during service delivery, providers allocate their delivery resources such that their own delivery-dependent costs are minimal. However, during service delivery, costs arise not only for the provider, but for the customer, too. In industrial maintenance, for example, those costs arise-depending on service delivery-due to longer equipment unavailability. The concept of system-oriented service delivery aims at minimizing the total (customer and provider) delivery-dependent costs within the service system and promises a Pareto improvement over today's practice. Hence, added value is created. However, so far, we have no understanding of the magnitude of and factors favoring high added value through system-oriented service delivery. Consequently, this work aims at filling this gap and widening knowledge on the added value through system-oriented service delivery. We present a simulation study to elaborate on the added value in dependency of the customer base constellation in an industrial maintenance illustrative scenario.

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“…In addition, these studies on specific use-cases are supplemented with a qualitative studiy on how companies deal with the determination of costs of downtime [23].…”

Section: Costs Of Downtimementioning

confidence: 99%