Step-Based Data Sharing and Exchange in One-of-a-Kind Product Collaborative Design for Cloud Manufacturing

Abstract

With the trend for global collaboration, there is a need for collaborative design between geographically distributed teams and companies. In particular, this need is inevitable in the companies doing their business based on one-of-a-kind production (OKP). One important problem is the lack of interoperability and compatibility of data between different CAx systems. This problem is further highlighted in data exchange in cloud manufacturing. To the best of authors' knowledge, current studies have limitations in achieving the interoperability and compatibility of data. In this paper, a STEP-based data model is proposed to represent OKP product data/knowledge, which contains four categories of product knowledge (i.e., customer, product, manufacturing, and resource resp.). A STEP-based data modelling approach is proposed to describe each category of knowledge separately and then connect them to form the final integrated model. Compared with most current product models, this model includes the more complete product data/knowledge involved in OKP product development (OKPPD), and thus it can provide more adequate knowledge support for OKPPD activities. Based on the proposed STEP-based data model, a product data exchange and sharing (DES) framework is proposed and developed to enable DES in collaborative OKPPD in the cloud manufacturing environment. Case studies were carried out to validate the proposed data model and DES framework.

Assessment of interoperability in cloud manufacturing

“…Li et al [26] provided an interoperable four phased modelling approach for a One-of-a-kind production paradigm followed-by a framework for data sharing and exchange (DES) within the cloud manufacturing Apparently, Cloud manufacturing reflects the evolution of technology within the manufacturing industry, although it is still in the juvenile stage for a large scale application [30], quantitative and robust assessment for electing the appropriate cloud deployment approach [24]. Thus, the cloud manufacturing stakeholders will support service providers with the manufacturing resource interface component which will enable the machine tools to be connected to the cloud-based on its technology i.e.…”

Manufacturing Resource Modeling for Cloud Manufacturing

“…Manufacturing resource classification Pan 29 Hard, soft, human, information, and technology resources, equipment, workstation, unit, workshop, and enterprise layers Xi and Xu 30 and Xu and co-authors 31 Hard and soft resources Liu 32 Human and technological resource, process equipment, manufacturing equipment Wang 33 Material, labor, knowledge, service, information, equipment, and software classes Kong et al 34 Design and analysis, manufacturing equipment, information service, knowledge and technology, and talent resources Wang et al 35 Hard, soft, human, knowledge, material, equipment, and logistical resources Zhang 36 Material, equipment, technology, service, computing, computerized, user information, and other resources Yang 37 Zhu et al 38 Financial, technical, equipment, software, and logistical resources Yuan 39 Software, product, equipment, enterprise, standard, service, and human resource Li et al 40 Human-resource, supplier, machining resource, machine, materials the content and meaning of manufacturing resources have developed separately due to the rapid development of science and technology. This situation further separates the processing resources from the enterprise or department inside the enterprise external affiliated resources.…”

Granulation-based resource classification in Cloud Manufacturing

“…The requirements for application independency, expressiveness, and unambiguity are satisfied by the proposed method. Li et al 27 proposed a STEP-based data model to represent one-of-a-kind product knowledge. Based on the data model, a framework was developed to enable product data exchange and sharing in Cloud Manufacturing.…”