Integrating through-life engineering service knowledge with product design and manufacture

Masood, Tariq; Roy, Rajkumar; Harrison, Andrew J.; Xu, Yuchun; Gregson, Stephen; Reeve, Carl

doi:10.1080/0951192x.2014.900858

Cited by 37 publications

(13 citation statements)

References 34 publications

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“…The Big Data analytics could generate new knowledge by using the relationship of service events, component degradation and component design [25,108]. Applying the generated knowledge to the manufacturing environment, improves prediction accuracy of machine state and maintenance scheduling of the ERP system [97].…”

Section: Big Data and Data Analyticsmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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Section: Big Data and Data Analyticsmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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“…As illustrated in Fig. 5, CM encompasses the entire manufacturing process within a cloud-enabled environment, from order placement and product design to machining and facilities maintenance [171,134] where cloud computing represents the core competence of CM. Based on this concept, more companies in the future may obtain various manufacturing services through the Internet as conveniently as obtaining utilities in daily operations.…”

Section: Cloud-enabled Prognosis and Cloud Manufacturingmentioning

confidence: 99%

Cloud-enabled prognosis for manufacturing

et al. 2015

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Advanced manufacturing depends on the timely acquisition, distribution, and utilization of information from machines and processes across spatial boundaries. These activities can improve accuracy and reliability in predicting resource needs and allocation, maintenance scheduling, and remaining service life of equipment. As an emerging infrastructure, cloud computing provides new opportunities to achieve the goals of advanced manufacturing. This paper reviews the historical development of prognosis theories and techniques and projects their future growth enabled by the emerging cloud infrastructure. Techniques for cloud computing are highlighted, as well as the influence of these techniques on the paradigm of cloud-enabled prognosis for manufacturing. Finally, this paper discusses the envisioned architecture and associated challenges of cloud-enabled prognosis for manufacturing

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“…Although one of the initial foci in PSS literature has been its potential to bring about joint environmental and economic benefits through the integration of products and services, in its evolution, the focus lies mainly on the attributes of PSS as a competitive business strategy [7]. PSS has gained traction with companies because it can give them a competitive advantage, better customer knowledge, and new sources of income [35][36][37]. Therefore, achieving lifetime extension of passive durable products through PSS, which has great potential to contribute to environmental impact reduction and can be a profitable proposition, theoretically holds water.…”

Section: Background and Motivationmentioning

confidence: 99%

Is Prolonging the Lifetime of Passive Durable Products a Low-Hanging Fruit of a Circular Economy? A Multiple Case Study

et al. 2019

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Extending the lifetime of passive products, i.e., products that do not consume materials or energy during the use phase, by implementing product-service systems (PSS) has a potential to reduce the environmental impact while being an attractive and straightforward measure for companies to implement. This research assesses the viability of introducing PSS for passive products, by documenting five real product cases of prolonging the lifetime through repair or refurbishment and by quantifying, through life cycle assessment (LCA) and life cycle costing (LCC), the change in environmental and economic outcome. The environmental impact (measured as global warming potential over the life cycle) was reduced for all cases because extraction and production dominated the impact. This reduction was 45–72% for most cases and mainly influenced by the number of reuses and the relative environmental burden of the components whose lifetime was prolonged. The costs for the company (measured as LCC from the manufacturer’s perspective) decreased too by 8–37%. The main reason that costs reduced less than the environmental impact is that some costs have no equivalent in LCA, e.g., administration and labor costs for services. The decreases in both LCA and LCC results, as well as the willingness of the companies to implement the changes, demonstrate that this measure can be financially attractive for companies to implement and effectively contribute to a circular economy.

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Integrating through-life engineering service knowledge with product design and manufacture

Cited by 37 publications

References 34 publications

Continuous maintenance and the future – Foundations and technological challenges

Continuous maintenance and the future – Foundations and technological challenges

Cloud-enabled prognosis for manufacturing

Is Prolonging the Lifetime of Passive Durable Products a Low-Hanging Fruit of a Circular Economy? A Multiple Case Study

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