Big Data in product lifecycle management

Li, Jingran; Tao, Fei; Cheng, Ying; Zhao, Liangjin

doi:10.1007/s00170-015-7151-x

Cited by 406 publications

(196 citation statements)

References 64 publications

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“…These tools can be provided as a service over the cloud as software as a service (SaaS), platform as a service (PaaS), or infrastructure as a service (IaaS). Moreover, machine learning and big data analytics will play a huge role in better product design [72,73]. In such scenarios, the various security issues associated with this stage are as follows:…”

Section: Designmentioning

confidence: 99%

Manufacturing Supply Chain and Product Lifecycle Security in the Era of Industry 4.0

et al. 2017

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The next generation of smart manufacturing systems will incorporate various recent enabling technologies. These technologies will aid in ushering the era of the fourth industrial revolution. They will make the supply chain and the product lifecycle of the manufacturing system efficient, decentralized, and well-connected. However, these technologies have various security issues and, when integrated in the supply chain and the product lifecycle of manufacturing systems, can pose various challenges for maintaining the security requirements such as confidentiality, integrity, and availability. In this paper, we will present the various trends and advances in the security of the supply chain and product lifecycle of the manufacturing system while highlighting the roles played by the major enabling components of Industry 4.0.

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Section: Designmentioning

confidence: 99%

Manufacturing Supply Chain and Product Lifecycle Security in the Era of Industry 4.0

et al. 2017

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“…Klausner et al propose the integration of an Information System for Product Recovery (ISPR) and the so-called Electronic Data Log (EDL)-which is similar to the PEID-with a product to record lifecycle data [28]. Li et al examine the role of big data generated in the IoT paradigm throughout the entire product lifecycle, including product recycling [29]. Simon et al propose the LifeCycle Data Acquisition (LCDA) system to improve reuse rate, which stores and manages static and dynamic data generated throughout the product lifecycle, and shows benefits in terms of cost [30].…”

Section: Product Lifecycle Management and Supply Chain Managementmentioning

confidence: 99%

Gen2 RFID-Based System Framework for Resource Circulation in Closed-Loop Supply Chains

2017

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Abstract:Product recycling has become a mandatory activity under extended producer responsibility. Therefore, it is important to operate a closed-loop supply chain that integrates sourcing, production, delivery, and recycling to achieve not only environmental sustainability, but also economic benefits. However, this goal is affected by chronic problems caused by uncertainties relating to the return timing, quantity, and quality of returned items. Many studies proved that information visibility could solve these problems. In this context, a system framework for closed-loop supply chain management is proposed that gathers real-time information within a supply chain and product lifecycle by using the Internet-of-Things, including radio frequency identification (RFID). Specifically, the most recent Gen2 RFID protocol, which provides new features to create new positive effects, is considered. Additionally, an information system is designed, including RFID tag encoding, which supports the operation of the proposed system. Finally, the lifecycle benefits are examined, such as counterfeit prevention, real-time monitoring and maintenance in the middle-of-life phase, and reverse process streamlining. The ultimate aim is to design a system that facilitates the profitable and environmentally friendly operation of the closed-loop supply chain.

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“…As its name implies, PLM enables companies to manage their products across their lifecycles [13]. PLM is of great significance as it can improve the development of new products and reduce manufacturing costs by controlling the products through their lifecycle [14].…”

Section: Benefits and Issues Of Product Lifecycle Managementmentioning

confidence: 99%

The Challenges of Adopting PLM Tools Involving Diversified Technologies in the Automotive Supply Chain

Zammit

Gao

2017

Product Lifecycle Management and the Industry of the Future

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Abstract. In order to reduce product development (PD) costs and duration, PD cycles are being accelerated in order to reduce the time to market and satisfy the end customer needs. Another key challenge in PD today, is product diversification in the technologies used, requiring improved collaboration amongst local and dispersed multi disciple PD teams. A main stream tool that aids and support engineers in PD to collaborate and share information / knowledge is Product Lifecycle Management (PLM). This research explores the benefits and requirements of implementing a PLM system for a PD and manufacturing company within the automotive supply chain. This paper first provides a brief background of the subject area, followed by an explanation of the initial industrial investigation for the implementation of a PLM system, from which investigation the resulting conclusions and recommendations are presented as the building blocks of the implementation project.

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Big Data in product lifecycle management

Cited by 406 publications

References 64 publications

Manufacturing Supply Chain and Product Lifecycle Security in the Era of Industry 4.0

Manufacturing Supply Chain and Product Lifecycle Security in the Era of Industry 4.0

Gen2 RFID-Based System Framework for Resource Circulation in Closed-Loop Supply Chains

The Challenges of Adopting PLM Tools Involving Diversified Technologies in the Automotive Supply Chain

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