Continuous maintenance and the future – Foundations and technological challenges

Roy, Rajkumar; Stark, Rainer; Tracht, Kirsten; Takata, Shozo; Mori, Masahiko

doi:10.1016/j.cirp.2016.06.006

Cited by 239 publications

(109 citation statements)

References 179 publications

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“…Enabled by the digitalization of manufacturing, cyber-physical production systems, model-based system engineering, and a growing endeavour for data gathering and processing, these models are increasingly enriched with production and operation data. Moreover, they allow the efficient prediction of the effects of product and process development as well as operating and servicing decisions on the product behaviour without the need for costly and time-expensive physical mockups [1][2][3]. Particularly in design, such realistic product models are essential to allow the early and efficient assessment of the consequences of design decisions on the quality and function of mechanical products.…”

Section: Introductionmentioning

confidence: 99%

Shaping the digital twin for design and production engineering

et al. 2017

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Abstract:The digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed.

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Section: Introductionmentioning

confidence: 99%

Shaping the digital twin for design and production engineering

et al. 2017

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“…This second category can be reduced by means of proper planning. For instance, proactive maintenance by regular inspections could decrease the maintenance cost of POS terminals in retail stores [39,40].…”

Section: Case Studymentioning

confidence: 99%

Waste Reduction for Green Service Supply Chain—the Case Study of a Payment Service Provider in Iran

Ardebili

Padoano

Rahmani³

2020

Sustainability

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Analyzing and designing how service is provided to the customer is crucial for sustainable supply chains in services. In this respect, there can be barriers to applying sustainable improvements due to regulations, practices and customer culture. This study is focused on finding the waste produced by the service of one of the biggest payment service provider (PSP) companies in Iran and how to meet the essential needs of the sustainable supply chain. It has been observed that using thermal papers as a biohazardous material causes environmental problems and even it is hazardous to mix them with normal paper waste in the recycling process. Moreover, preventive maintenance of the thermal printers itself causes a huge number of unnecessary shuttles between the customers and service suppliers, which represents a source of CO 2 emission, traffic-especially in the capital-and high maintenance costs for the company. Three main alternatives to the thermal paper receipt were analyzed and ranked by means of a TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) model, which employed the sustainability pillars and the technical point of view as evaluation criteria. The priorities against the set of criteria were obtained by means of surveys, which targeted a sample of customers and a pool of experts. The results highlighted that customers' habits and legislation are the most important barriers to the transition to a more sustainable service.

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“…Containers allow applications such as performance and distributed health monitoring [9], [10] to run on a shared end node, and Digital-Twin [11] to predict malfunction, maintenance intervals and tool lifespan. Lastly, the application of modern virtualization techniques enables mixed criticality contexts which allow increased efficiency, reduction of the operational cost and decrease of production downtime [12].…”

Section: Introductionmentioning

confidence: 99%