Smart changeable manufacturing systems

Smart Manufacturing Systems based on Cyber-physical Manufacturing Services (CPMS)

Future manufacturing is becoming “smart” – capable of agilely adapting to a wide variety of changing conditions. This requires production plants, supply chains and logistic systems to be flexible in design and reconfigurable “on the fly” to respond quickly to customer needs, production uncertainties, and market changes. Service-Oriented Architecture (SOA) provides a promising platform to achiev...

Current Standards Landscape for Smart Manufacturing Systems

Autonomic smart manufacturing

ISSN: 1246-0125 (Print) 2116-7052 (Online) Journal homepage: http://www.tandfonline.com/loi/tjds20 Autonomic smart manufacturing Daniel A. Menascé, Mohan Krishnamoorthy & Alexander Brodsky To cite this article: Daniel A. Menascé, Mohan Krishnamoorthy & Alexander Brodsky (2015) Autonomic smart manufacturing, Journal of Decision Systems, 24:2, 206-224, DOI: 10.1080/12460125.2015.1046714 To link t...

Performance Challenges Identification Method for Smart Manufacturing Systems

Smart Manufacturing Systems (SMS) need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of SMS. This paper proposes a method for identifying what aspects of a manufacturin...

Methods and Tools for Performance Assurance of Smart Manufacturing Systems

The emerging concept of smart manufacturing systems is defined in part by the introduction of new technologies that are promoting rapid and widespread information flow within the manufacturing system and surrounding its control. These systems can deliver unprecedented awareness, agility, productivity, and resilience within the production process by exploiting the ever-increasing availability of...