A statistical approach linking energy management to maintenance and production factors

Al-Ghanim, Amjed M.

doi:10.1108/13552510310466828

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…Al-Ghanim [43] studies the relationship between energy consumption rates and maintenance and production factors, for which they develop regression models. Some of the arguments for their study are the facts that repetitive failures lead to increase energy by machines, as warming and re-startup are energy intensive processes.…”

Section: E Maintenance Managementmentioning

confidence: 99%

Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories

2019

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Factories use many manufacturing processes that consume a lot of energy and highly contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet in USA and Industry 4.0 in Europe offers many opportunities to reduce energy consumption in these factories. Introducing and utilizing smart techniques for the applications pertinent to manufacturing processes within the Industry 4.0 domain can offer many benefits for reducing energy consumption in smart factories. This paper investigates and discusses these opportunities and benefits. This paper also discusses the roles of Industry 4.0 technologies in enabling these opportunities. Consequently, introducing these capabilities will help significantly reduce both production costs and greenhouse gas emissions. This paper then provides a benefit analysis that shows the advantages of such leverage. In addition, this paper offers an enabling architecture and its components that include a cyber-physical system manufacturing services' layer, a fog manufacturing services' layer, a cloud manufacturing services' layer, and a blockchain-based service-oriented middleware to support such opportunities.

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Section: E Maintenance Managementmentioning

confidence: 99%

Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories

2019

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“…Effective maintenance management systems can lead to energy savings and substantial reduction in environmental pollution (Al-Ghanim, 2003). As a machine degrades, its performance deteriorates and the associated energy consumption increases.…”

Section: Review Of Modelingbased Literature 155mentioning

confidence: 99%

Maintenance and sustainability: a systematic review of modeling-based literature

Saihi

Ben‐Daya

As’ad

2022

JQME

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PurposeMaintenance is a critical business function with a great impact on economic, environmental and social aspects. However, maintenance decisions' planning has been driven by merely economic and technical measures with inadequate consideration of environmental and social dimensions. This paper presents a review of the literature pertaining to sustainable maintenance decision-making models supported by a bibliometric analysis that seeks to establish the evolution of this research over time and identify the main research clusters.Design/methodology/approachA systematic literature review, supported with a bibliometric and network analysis, of the extant studies is conducted. The relevant literature is categorized based on which sustainability pillar, or possibly multiple ones, is being considered with further classification outlining the application area, modeling approach and the specific peculiarities characterizing each area.FindingsThe review revealed that maintenance and sustainability modeling is an emerging area of research that has intensified in the last few years. This fertile area can be developed further in several directions. In particular, there is room for devising models that are implementable, based on reliable and timely data with proven tangible practical results. While the environmental aspect has been considered, there is a clear scarcity of works addressing the social dimension. One of the identified barriers to developing applicable models is the lack of the required, accurate and timely data.Originality/valueThis work contributes to the maintenance and sustainability modeling research area, provides insights not previously addressed and highlights several avenues for future research. To the best of the authors' knowledge, this is the first review that looks at the integration of sustainability issues in maintenance modeling and optimization.

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“…This literature is mainly from the maintenance-engineering field. The support for the measurement and analysis of maintenance profitability came from a number of sources (Al-Ghanim, 2003;Komonen, 2002;Liyanage and Kumar, 2003;Mjema and Mweta, 2003). In the first instance, Al-Ghanim (2003) proposed a linkage of energy management to maintenance systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The support for the measurement and analysis of maintenance profitability came from a number of sources (Al-Ghanim, 2003;Komonen, 2002;Liyanage and Kumar, 2003;Mjema and Mweta, 2003). In the first instance, Al-Ghanim (2003) proposed a linkage of energy management to maintenance systems. The statistical approach proposed affirmatively advocated for energy management for profitability of the organisation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In view of the scarce resources available to organisations, a very close watch is made on all money-expending functions in the organisation. The current drive for lean manufacturing has also intensified efforts on manufacturing performance monitoring (Al-Ghanim, 2003;Liyanage and Kumar, 2003). Fortunately, this gives little or no room for non-performance of the maintenance function that is a fund-consuming sub-system of the larger manufacturing system.…”

Section: Introductionmentioning

confidence: 99%

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An analytical model for the optimisation of maintenance profitability

Oke

2005

International Journal of Productivity and Performance Management

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Purpose -The paper presents a mathematical model that measures the profitability of the maintenance system based on the traditional accounting definition of profitability. There is currently a dire need for an article presenting a scientific-based framework for practitioners in maintenance to make optimal instead of sub-optimal decisions on profitability. Design/methodology/approach -A case study is presented to reflect the actual application of the proposed model. Different situations were considered in modelling to obtain optimal results. Simulation experiments were conducted to demonstrate that maintenance profitability is a reality through the use of differential calculus. Findings -It was observed that the approach presented is a holistic viewpoint of maintenance profitability measurement. Research limitations/implications -An adequate understanding of the maintenance system is needed to properly implement the model. Practical implications -The practical application of the model is that the maintenance system will now be viewed as a value-adding activity instead of "a necessary evil" or "a bottomless pit for expenses". Originality/value -This paper fulfils an identified need and offers practical help to managers in taking guided decisions that are optimal.

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A statistical approach linking energy management to maintenance and production factors

Cited by 10 publications

References 8 publications

Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories

Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories

Maintenance and sustainability: a systematic review of modeling-based literature

An analytical model for the optimisation of maintenance profitability

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