Production service system enabled by cloud-based smart resource hierarchy for a highly dynamic synchronized production process

Zhang, Kai; Wan, Ming; Qu, Ting; Jiang, Hongfei; Li, Peize; Chen, Zefeng; Xiang, Jinjie; He, Xiaodong; Li, Congdong; Huang, George Q.

doi:10.1016/j.aei.2019.100995

Cited by 16 publications

(11 citation statements)

References 37 publications

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“…Some other similar cases used RFID/QR codes in warehouse management mentioned in the table above. To manage warehouse operations including material movement, Zhang et al [110] implemented a cloud-based smart system. Apart from other applications, operators were equipped with various types of handheld terminals such as tablets connected to a "warehouse management software database" through a web service in real-time.…”

Section: Category 1: Shopfloor Operational-related Activitiesmentioning

confidence: 99%

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

2021

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A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the “production logistics data lifecycle” and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.

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Section: Category 1: Shopfloor Operational-related Activitiesmentioning

confidence: 99%

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

2021

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“…This platform inherits the AUTOM architecture proposed by Huang et al [44] and the general cloud resource management architecture [31]. The fundamental purpose of this platform is to provide services to platform users through the PSS model.…”

Section: Network Of Hswcm System and Cloud‐based Pss Platform For Hswcmmentioning

confidence: 99%

“…In terms of waste management, the PSS platform can centrally manage various types of SWMR, establish a value chain for the interests of involved multiple stakeholders, and increase the enthusiasm of multiple stakeholders to participate in waste classification management. PSS mode has been widely used in the production field [30–32]. Elia et al [33] evaluated the effects of several PSS modes of waste from electrical and electronic equipment.…”

Section: Introductionmentioning

confidence: 99%

Cloud‐based product‐service systems platform for household solid waste classification management

Wan

Huang

et al. 2020

IET Collaborative Intelligent Manufacturing

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“…This new model helps reduce the setup costs and technical risks of production resources while ensuring their lifecycle service levels. Zhang further expanded PnSS based on IOT and cloud, and proposed a PnSS enabled by cloud‐based smart resource hierarchy to provide hardware and software resources for product manufacturing [22]. With the rapid increase of personalised demand, it is difficult to make decisions and control in the manufacturing stage, which increases the demand of manufacturers for precise decision‐making and autonomous control services.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital‐twin‐based implementation framework of production service system for highly dynamic production logistics operation

Jiang

Wan

et al. 2020

IET Collaborative Intelligent Manufacturing

Self Cite

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Production service system enabled by cloud-based smart resource hierarchy for a highly dynamic synchronized production process

Cited by 16 publications

References 37 publications

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

Cloud‐based product‐service systems platform for household solid waste classification management

Digital‐twin‐based implementation framework of production service system for highly dynamic production logistics operation

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