Intelligent products: From lifecycle data acquisition to enabling product-related services

Yang, Xiaoyu; Moore, Philip; Chong, Seng

doi:10.1016/j.compind.2008.12.009

Cited by 78 publications

(42 citation statements)

References 10 publications

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“…To date, existing research has studied how products can become intelligent [34,35] and what can be achieved with them [27,28], including product intelligence [33]. The current discussion seems to agree that intelligent products need to be embedded with a certain level of intelligence [33,35,47], whether the decisions happen locally [28,38] or via a remote server [26,34]. We suggest that the required level of embedded intelligence should be lowered, in order to incorporate simple, but unique, material objects into the IoT.…”

Section: Theoretical Contributionmentioning

confidence: 99%

Material Intelligence: Cross-Organizational Collaboration Driven by Detailed Material Data

Hakanen¹,

Eloranta²,

Töytäri³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Theoretical Contributionmentioning

confidence: 99%

Material Intelligence: Cross-Organizational Collaboration Driven by Detailed Material Data

Hakanen¹,

Eloranta²,

Töytäri³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…This device has the ability of retrieving, collecting, and managing equipment data with the help of an embedded real-time operating system and several software modules. Yang et al [21] and Yang et al [22] developed an intelligent product model for discovering product service systems for consumer products, such as fridge/freezer appliances and game consoles for PlayStation 2. In this model, an intelligent data unit was installed in each product to acquire data during usage and the distribution stages of its life cycle.…”

Section: Sensor Embedded Productsmentioning

confidence: 99%

One-Dimensional Renewable Warranty Management within Sustainable Supply Chain

Alqahtani

Gupta

2017

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Sensor embedded products utilize sensors implanted into products during their production process. Sensors are useful in predicting the best warranty policy and warranty period to offer a customer for remanufactured components and products. The conditions and remaining lives of components and products can be estimated prior to offering a warranty based on the data provided by the sensors. This helps reduce the number of claims during warranty periods, determines the right preventive maintenance (PM) policy, and eliminates unnecessary costs inflicted on the remanufacturer. The renewing, one-dimensional Free Replacement Warranty (FRW), Pro-Rata Warranty (PRW), and combination FRW/PRW policies' costs for remanufactured products and components were evaluated with/without offering PM for different periods in this paper. To that end, the effect of offering renewable, one-dimensional, Free Replacement Warranty (FRW), or Pro-Rata Warranty (PRW), or combination FRW/PRW warranty policies for each disassembled component and sensor embedded remanufactured product was examined, and the impact of sensor embedded products on warranty costs was assessed. A case study and varying simulation scenarios is examined and presented to illustrate the model's applicability.

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“…The product is equipped with an intelligent data unit (IDU) which acquires the life cycle data [26]. The communication architecture of the knowledge management system is referred to as the communication support infrastructure, while the knowledge support system is termed the Service Enabler.…”

Section: Life Cycle Monitoringmentioning

confidence: 99%

Product life cycle information management in the electronics supply chain

Bindel

Rosamond

Conway

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part B:

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Information availability and data transparency are key requirements from manufacturers when supporting products throughout the life cycle, for example, when implementing product service systems. The application of embedded wireless technologies into printed circuit boards can help by bridging current knowledge gaps in order to minimise both technical and financial risk through: reduced product downtime, improved quality of tracking, and enhanced end-of-life decision making. The application of an embedded radio frequency identification device into printed circuit boards for life cycle monitoring of electronic products to support product service systems is discussed in this article.

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Intelligent products: From lifecycle data acquisition to enabling product-related services

Cited by 78 publications

References 10 publications

Material Intelligence: Cross-Organizational Collaboration Driven by Detailed Material Data

Material Intelligence: Cross-Organizational Collaboration Driven by Detailed Material Data

One-Dimensional Renewable Warranty Management within Sustainable Supply Chain

Product life cycle information management in the electronics supply chain

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