Standards landscape and directions for smart manufacturing systems

Abstract

The future of manufacturing lies in being able to optimize the use of resources to produce high quality product and adapt quickly to changing conditions. From smaller lot sizes, to more customization, to sudden changes in supply chain; the variability that manufacturers face is rapidly increasing. A key to enabling adaptive and smart manufacturing systems is the appropriate definition and use of information. Standards are fundamental 1) to facilitate the delivery of the right information at the right time, 2) to enable actions based on that information and 3) to reduce risk of technology adoption and development. This paper provides a review of the standards-a standards landscape-in which future smart manufacturing systems will operate. The landscape focuses on standards used to integrate within and across three manufacturing lifecycle dimensions: product, production system, and business. Opportunities and challenges for new standards are discussed. Emerging activities addressing these opportunities are presented. This paper will allow manufacturing practitioners to better understand the standards useful to integrate smart manufacturing technologies within their areas of expertise.

Standards-based semantic integration of manufacturing information: Past, present, and future

“…VAN services were expensive, charging per transaction and per byte transferred. Therefore, EDI was designed as a compressed message format, to save bits and bytes 3 . Because of this and other reasons such as its mainframe era's batch processing inclination, EDI standards are rather cryptic and hard to use.…”

“…Service-oriented architecture (SOA) has been identified as a key to enabling the emerging manufacturing paradigms such as smart manufacturing, Industrie 4.0, and cloud manufacturing where things (various kinds of devices and software systems) from heterogeneous sources have to be dynamically connected [1][2]. Communication standards, data exchange standards in particular, are playing an increasingly important role to reduce risks associated with investments in these Industrial Internet of Things (IIoT) and adoptions of those emerging manufacturing paradigms [3][4]. While information technologies are 1 evolving rapidly to support different platforms used with various kinds of devices including IoT and services in the manufacturing enterprise, standards, however, remain timeconsuming and costly to develop and deploy.…”

Methods and Tools for Performance Assurance of Smart Manufacturing Systems

“…Finally, standards are fundamental to enabling the flow of information and control the manufacturing enterprise. Lu et al [160,161] first, analyzed standards requirements and then reviewed organizations working to develop and align standards to enable smart manufacturing systems. Kibira et al [162] analyzed standards for simulation-based production planning and identified standards needs into two major application categories: data collection and interoperability.…”

Flat Versus Hierarchical Information Models in PLM Standardization Frameworks

“…Fiorentini and Rachuri selected OAGIS [12] as the e-business standard with which to harmonize the OMG PLM Services. OAGIS is a critical standard for application-to-application and business-to-business integration [17]. By successfully mapping portions of the OAGIS Engineering Change Management concepts to OMG PLM Services concepts, their research demonstrated the feasibility of harmonizing product design data standards with OAGIS.…”