A new approach on implementing TPM in a mine – A case study

Chlebus, Edward; Helman, Joanna; Olejarczyk, Michał; Rosienkiewicz, Maria

doi:10.1016/j.acme.2015.07.002

Cited by 29 publications

(23 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Attri et al (2014) presents a graph theoretic approach to evaluate the innumerable barriers in real life cases during TPM implementation. Chlebus et al (2015) also focus the important issues when implementing TPM approach. Rodrigues and Hatakeyama (2006) claimed that the achievement of TPM implementation is closely related to the management of employees.…”

Section: Problem Of the Definition And Literature Review On Tpmmentioning

confidence: 99%

Fuzzy Copras Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Bekar

Çakmakçı

Kahraman

2016

Journal of Business Economics and Management

View full text Add to dashboard Cite

Abstract. Modern manufacturing firms should be supported by effective maintenance to become successful in their operations. One of the approaches for improving the performance of maintenance activities is to implement a total productive maintenance (TPM) strategy. Overall equipment effectiveness (OEE) is the key measure of TPM. According to the results of the literature review, the performance elements measured by the OEE tool are not sufficient to describe the effectiveness of TPM implementation. Hence, we aim at developing and evaluating new performance measures oriented towards the quantification of TPM implementation effectiveness under fuzzy environment. For the evaluation of each performance measure, at first, the nominal group technique has been used. Then to determine whether these performance measures are statistically significant, conjoint analysis based experimental design has been applied. In the second step, COmplex PRoportional ASsessment of alternatives with Grey relations (COPRAS-G) and the fuzzy COPRAS method has been developed to evaluate these performance measures in TPM. Proposed fuzzy COPRAS method gives the reassuring results of ranking newly developed performance measures in TPM.Keywords: COPRAS-G, performance measurement, new performance measures, total productive maintenance, conjoint analysis, fuzzy COPRAS. IntroductionTPM is a new concept for maintenance that better optimizes the equipment effectiveness, minimizes breakdowns and encourages operators to autonomous maintenance for day-to-day activities involving total workforce (Andersson 2015). TPM aims to improve equipment effectiveness during the lifetime of the equipment. 664E. Turanoglu Bekar et al. Fuzzy COPRAS method for performance measurement in total productive ... Nakajima (1988) initiated TPM concept in the 1980s, which brought measurable metric named OEE for measuring productivity of individual equipment in a factory. It explains and measures losses of significant sides of manufacturing specifically availability, performance, and quality rate.OEE approach has been starting to be widely used as an important quantitative metric for measurement of productivity in manufacturing operations (Huang et al. 2003). The use of OEE varies from one industry to another, and it is tailored to fit to comply with industries' specific requirements.According to the literature review on performance evaluation in TPM, OEE metric has widely been used as an important performance measure, but it is not adequate to define the effectiveness of TPM. Jeon et al. (2011) also suggested measuring the performance of TPM in terms of efficiency. This has caused to a requirement for a thoroughly described performance measurement system for TPM which is capable of considering different significant elements of productivity in a manufacturing process. Therefore, in this study new performance measures having an impact on TPM are proposed and proposed performance measures are evaluated under fuzzy environment.The innovative side of this study is to develop new per...

show abstract

Section: Problem Of the Definition And Literature Review On Tpmmentioning

confidence: 99%

Fuzzy Copras Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Bekar

Çakmakçı

Kahraman

2016

Journal of Business Economics and Management

View full text Add to dashboard Cite

show abstract

“…However, the intersection of these two sectors and possibility of adopting and benefiting from the Lean application in the mining sector is also highlighted by some scholars (Dunstan et al 2006;Chlebus et al 2015;Flynn and Vlok 2015). Therefore, the scope of their interaction seems realistic.…”

Section: Reporting and Using The Resultsmentioning

confidence: 99%

“…The mining and automotive sectors intersect, as the first typically comprises individual and stand-alone business units that seek business improvement methods to pursue a reduction of operating costs, increase productivity and efficiency (Klippel et al 2008a;Chlebus et al 2015), achieve process optimisation (Castillo et al 2015), meeting targets and plans (Dunstan et al 2006), improve internal communications (Castillo et al 2015), and customers satisfaction (Garza-Reyes et al 2016). Fig.…”

Section: Reporting and Using The Resultsmentioning

confidence: 99%

“…Table 3 summarises these wastes Waste and its occurrence form Overproduction: (Flynn and Vlok 2015), due to mining capacity to outstrip ore processing (Dunstan et al 2006), continuous production with push system (Dunstan et al 2006;Chlebus et al 2015) Waiting: Inappropriate conditions/working environment, e.g. lack of ventilation for dust and gases removal (Klippel et al 2008a), due to unavailability of machines and spare parts (Dunstan et al 2006;Chlebus et al 2015), equipment breakdowns and plant downtime (Dunstan et al 2006;Oware et al 2015), maintenance downtime and unscheduled shutdowns (Indrawati and Ridwansyah 2015), equipment failures (Dunstan et al 2006). (Indrawati and Ridwansyah 2015), inefficient movement of extracted ore until it reaches final destination (Dunstan et al 2006), long distances (Flynn and Vlok 2015).…”

Section: Lean's 8 Wastes In the Mining Sectormentioning

confidence: 99%

“…dry drilling taking more time for processing compared with wet drilling) (Klippel et al 2008a), incorrect processing due to equipment breakdowns (Oware et al 2015) or equipment failures (Dunstan et al 2006), inefficient use of materials (Indrawati and Ridwansyah 2015), over processing to better grade ore than the customer willing to pay (Dunstan et al 2006). Excess inventory: High inventory of spare parts (Chlebus et al 2015;Flynn and Vlok 2015), inefficient inventory management (stockpiles/ shortages) (Dunstan et al 2006) Un-necessary Movement: Interruptions due to inefficient location of instruments (Dunstan et al 2006;Klippel et al 2008a), transport material unavailability, non-compliance of workers (Indrawati and Ridwansyah 2015), walking of operators (Dunstan et al 2006;Flynn and Vlok 2015). Defects: Rework/repair (Dunstan et al 2006;Oware et al 2015), quality of raw materials (Indrawati and Ridwansyah 2015), equipment failures (e.g.…”

Section: Lean's 8 Wastes In the Mining Sectormentioning

confidence: 99%

See 2 more Smart Citations

A Lean Implementation Framework for the Mining Industry

Seifullina

Nadeem

et al. 2018

IFAC-PapersOnLine

View full text Add to dashboard Cite

Abstract:The adoption of Lean concepts beyond the manufacturing sector has been increasing recently. In this line, its scope has been expanded to the mining industry under the realisation of the need for productivity improvements and a leverage for efficient operations. Limited research exists regarding Lean implementation in the mining industry in a comprehensive and structured way. This paper therefore follows a systematic approach to review the current literature to identify Lean implementation patterns in the mining sector, its scope, challenges, and limitations. The results reveal the limited utilisation of Lean in the mining sector, and that there is a lack of coherent and conceptual models to guide the implementation of Lean in this industry. Hence, the research proposes a framework for Lean implementation in the mining industry.

show abstract