Overall Environmental Equipment Effectiveness as a Metric of a Lean and Green Manufacturing System

Domingo, Rosario; Aguado, Sergio

doi:10.3390/su7079031

Cited by 106 publications

(80 citation statements)

References 39 publications

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“…The other part will be used in the analysis phase, in which production values and machine responses are represented as efficiency variables and failure times; this part also considers a period of one year. Because of the continuous improvement process that characterizes the papermaking industry, the maintenance function's influence on productive efficiency and sustainability is more sensitive than in other types of industrial plants [29][30][31]; therefore, this study focuses on indicators, overall equipment efficiency (OEE), and mean time to failure (MTTF) [32].…”

Section: Methodsmentioning

confidence: 99%

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning

2017

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The uncertainty of demand has led production systems to become increasingly complex; this can affect the availability of the machines and thus their maintenance. Therefore, it is necessary to adequately manage the information that facilitates decisionmaking. This paper presents a system for making decisions related to the design of customized maintenance plans in a production plant. This paper addresses this tactical goal and aims to provide greater knowledge and better predictions by projecting reliable behavior in the medium-term, integrating this new functionality into classic Balance Scorecards, and making it possible to extend their current measuring function to a new aptitude: predicting evolution based on historical data. In the proposed Custom Balance Scorecard design, an exploratory data phase is integrated with another analysis and prediction phase using Principal Component Analysis algorithms and Machine Learning that uses Artificial Neural Network algorithms. This new extension allows better control over the maintenance function of an industrial plant in the medium-term with a yearly horizon taken over monthly intervals which allows the measurement of the indicators of strategic productive areas and the discovery of hidden behavior patterns in work orders. In addition, this extension enables the prediction of indicator outcomes such as overall equipment efficiency and mean time to failure.

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Section: Methodsmentioning

confidence: 99%

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning

2017

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“…In fact, the present literature does not offer a common indicator that allows the evaluation of all the improvements achieved with respect to maintenance, quality, production, and environmental practices. An exception can be found in the work presented by Domingo and Aguado [13], who proposed a new OEEE indicator that brings together these aspects in a single metric. Nevertheless, due to the characteristics of the OEEE indicator, it does not allow for the assessment of the impact that each of the aspects measured at the equipment level generates at the plant level.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Overall Throughputability Effectiveness (S.O.T.E.) as a Metric for Production Systems

2018

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This paper proposes a new index for a comprehensive and systematic measurement of sustainability and throughput performance in production systems. The proposed index, called Sustainable Overall Throughput Effectiveness (S.O.T.E.), is designed on the basis of a comparison of the environmental and operational factors. Specifically, it integrates the following four dimensions: availability, utilization, performance, and environmental sustainability. The way each dimension is measured is explained and justified. This index uses the overall environmental equipment effectiveness (OEEE) index, which is based on the Overall Equipment Effectiveness (OEE) index. However, such metrics are lacking at the factory level, because OEEE, as well as the OEE, is devoted to equipment-level. Its application and potential contribution to the analysis of sustainable throughput is demonstrated through a case study in an actual crushing plant. Through examining several hypotheses concerning the relationship between operational and environmental performance, a series of useful conclusions could be raised. The main difference and advantage of the proposed S.O.T.E. is that S.O.T.E., as it is based on the Overall Throughput Effectiveness (OTE), measures factory-level sustainability and operational performance. S.O.T.E. allows us to relate the impact of the overall effectiveness of each one of the components of the index to each piece of equipment that makes a part of the production systems. Furthermore, S.O.T.E., as OTE, take into account the production system configuration (series, parallel, assembly, etc.).

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“…single machine, production line, entire company ( [11], [12], [13], [14], [15], [16], [17], [18], [19], [20]),  Specific characteristics of an industry ( [21], [22], [23], [24], [25]). Although OEE originated as a part of TPM, it has also been used extensively outside the maintenance paradigm [19].…”

Section: Speed Lossesmentioning

confidence: 99%

Practical Aspects of OEE in Automotive Company - Case Study

Jasiulewicz-Kaczmarek¹,

Piechowski²

2016

Proceedings of the 2016 International Conference on Management Science and Management Innovation

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Abstract-Measure is initial and basic step in taking actions striving for excellence in an organization. To maintain competitive advantage in the market, enterprises use various tools enabling measuring efficiency. In the paper the most often cited in literature and implemented in practice measure of efficiency of manufacturing equipment utilization called Overall Equipment Effectiveness is presented.

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Overall Environmental Equipment Effectiveness as a Metric of a Lean and Green Manufacturing System

Cited by 106 publications

References 39 publications

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning

Sustainable Overall Throughputability Effectiveness (S.O.T.E.) as a Metric for Production Systems

Practical Aspects of OEE in Automotive Company - Case Study

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