IoT-based real-time production logistics synchronization system under smart cloud manufacturing

Qu, Ting; Lei, S.P.; Wang, Z. Z.; Nie, Duxian; Chen, X.; Huang, George Q.

doi:10.1007/s00170-015-7220-1

Cited by 303 publications

(128 citation statements)

References 30 publications

Supporting

Mentioning

118

Contrasting

Order By: Relevance

“…The involvement of logistics complicates service scheduling in cloud manufacturing. Logistics monitoring and synchronisation based on IoT technologies such as RFID are also necessary for smooth scheduling in cloud manufacturing (Qu et al 2016).…”

Section: Resource-related Issues and Challengesmentioning

confidence: 99%

Scheduling in cloud manufacturing: state-of-the-art and research challenges

Liu

Wang

et al. 2018

International Journal of Production Research

215

View full text Add to dashboard Cite

For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand manufacturing services to consumers over the Internet. Scheduling is one of the critical means for achieving the aim of cloud manufacturing. Thus far, about 158 articles have been published on scheduling in cloud manufacturing. However, research on scheduling in cloud manufacturing faces numerous challenges. Thus, there is an urgent need to ascertain the current status and identify issues and challenges to be addressed in the future. Covering articles published on the subject over the past eight years, this article aims to provide a state-of-the-art literature survey on scheduling issues in cloud manufacturing. A detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier's Scopus abstract and citation database. Typical characteristics of scheduling issues in cloud manufacturing are systematically summarised. A comparative analysis of scheduling issues in cloud manufacturing and other scheduling issues such as cloud computing scheduling, workshop scheduling and supply chain scheduling is also carried out. Finally, future research issues and challenges are identified.

show abstract

Section: Resource-related Issues and Challengesmentioning

confidence: 99%

Scheduling in cloud manufacturing: state-of-the-art and research challenges

Liu

Wang

et al. 2018

International Journal of Production Research

215

View full text Add to dashboard Cite

show abstract

“…Based on the above explanation, a framework is developed based on the above mentioned mechanism, which is put forward by the authors' research team [2], as shown in …”

Section: Pls Information Frameworkmentioning

confidence: 99%

“…After the deformation, the system level constraints become the following inequality. * = ∑ ( − * ) 2 …”

Section: Constraints Relaxationmentioning

confidence: 99%

“…There are two aspects impact of dynamic mainly to the production logistics system: the first is that it disrupts the original production logistics plan, and lead to the result deviates from a pre-determined goal; the second is that it sometimes leads to the lack of the ability of production logistics system resources, and it is difficult to add new resources, and the cost is very high. Production logistics synchronization (PLS) means, in the presence of certain execution dynamics, some parts or the whole PL systems will be real-timely triggered to make adaptively collaborative decision which takes the dynamics into consideration and generates an updated execution plan for the next execution stage [2]. Therefore, under the premise of uninterrupted production logistics operation, the production, shipping and storage of the two or the three can be collaborated, and the whole of production logistics operation can be achieved optimization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cloud-Based Production Logistics Synchronization Mechanism and Method

Lei

Zong-zhong

et al. 2015

Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Self Cite

View full text Add to dashboard Cite

“…The emergence and application of cloud computing and Internet of Things (IoT) have been profoundly changing the manufacturing production mode [1][2][3] . Manufacturing factories record tremendous amounts of production process data with Radio Frequency Identification (RFID) technology in manufacturing line.…”

Section: Introductionmentioning

confidence: 99%

Online Monitoring of Manufacturing Process Based on autoCEP

Lei

Li²,

Kun³

2017

Int. J. Onl. Eng.

View full text Add to dashboard Cite

Abstract-Complex Event Processing (CEP), which can identify patterns of interest from a large number of continuous data steam, is becoming more and more popular in manufacturing process monitoring. CEP rules are specified manually by domain expert, which is a limiting factor for its application in manufacturing enterprises. How to analysis historical data and automatically generate CEP rules is becoming a challenge research. This paper proposed a model of autoCEP for online monitoring in product manufacturing, which can automatically generate CEP rules based on association rules mining in key processes. First, the key quality factors in manufacturing process were extracted by grey entropy correlation analysis. Then, association rules mining method based on product process constraints was used to find the association rules between key factors and product quality. At last, the extracted rules are algorithmically transformed into CEP rules. The experimental results show the effectiveness and practicability of the proposed method.

show abstract

IoT-based real-time production logistics synchronization system under smart cloud manufacturing

Cited by 303 publications

References 30 publications

Scheduling in cloud manufacturing: state-of-the-art and research challenges

Scheduling in cloud manufacturing: state-of-the-art and research challenges

Cloud-Based Production Logistics Synchronization Mechanism and Method

Online Monitoring of Manufacturing Process Based on autoCEP

Contact Info

Product

Resources

About