Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation

By Dazhong Wu, David W. Rosen, Lihui Wang, Dirk Schaefer. Comput. Aided Des., 2015

599 citations recorded by the source corpus.

Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from computer-aided engineering software to reconfigurable manufacturing systems. An ongoing debate on CBDM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, communication and collaboration processes, crowdsourcing processes, information and communication infrastructure, programming models, data storage, and new business models pertaining to CBDM. One question, in particular, has often been raised: is cloud-based design and manufacturing actually a new paradigm, or is it just "old wine in new bottles"? To answer this question, we discuss and compare the existing definitions for CBDM, identify the essential characteristics of CBDM, define a systematic requirements checklist that an idealized CBDM system should satisfy, and compare CBDM to other relevant but more traditional collaborative design and distributed manufacturing systems such as web- and agent-based design and manufacturing systems. To justify the conclusion that CBDM can be considered as a new paradigm that is anticipated to drive digital manufacturing and design innovation, we present the development of a smart delivery drone as an idealized CBDM example scenario and propose a corresponding CBDM system architecture that incorporates CBDM-based design processes, integrated manufacturing services, information and supply chain management in a holistic sense. We present a new paradigm in digital manufacturing and design innovation, namely cloud-based design and manufacturing (CBDM).We identify the common key characteristics of CBDM.We define a requirement checklist that any idealized CBDM system should satisfy.We compare CBDM with other relevant but more traditional collaborative design and distributed manufacturing systems.We describe an idealized CBDM application example scenario.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/4f90bc16fa0bdfb3b123abba3304ffd029d906f6

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In Industrial and Manufacturing Engineering

Citations in the corpus

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions (2019, background): “, 2014; Wang and Wang, 2014), cloud-based design and manufacturing (Stewart, 2006; Wu et al., 2015), and cloud-based energy-aware resource allocation approach and sustainable energy selection model (Peng and Wang, 2017; H.”
Cloud-enabled prognosis for manufacturing (2015, background): “, power meters, thermocouples, accelerometers) can be combined for many different remote monitoring, diagnosis, and prognosis applications, such as preventive maintenance [213], process planning verification [221], accurate cycle time estimation, tool position verification [232], and energy monitori”
Blockchain Platform for Industrial Internet of Things (2016, background): “A recent on-demand model of manufacturing that is leveraging IoT technologies is called Cloud-Based Manufacturing (CBM) [2].”
Block-VN: A Distributed Blockchain Based Vehicular Network Architecture in Smart City (2017, background): “CBM empowers universal, advantageous, on-request arranges access to a common pool of configurable assembling assets that can be quickly provisioned and discharged with negligible administration exertion or specialist organization collaboration [4,5].”