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This paper describes a framework for implementing Smart manufacturing Shop floor systems based on the Ubiquitous Augmented Reality technology (SSUAR). The proposed system makes use of data sharing between shop floor resources and a sensor network in order to optimise the production schedules for carrying out projects. The optimisation is performed in real-time and the production scheduling responds to new projects as well as the changing status of resources, such as machines and workers. Ubiquitous augmented reality interface has been developed and utilised as a user interface for the shop floor workers to receive information, instructions and guidance from the experts and manufacturing systems, and to update the systems on task parameters, such as estimated completion times, progress and machine status. A review of related work, methodology and implementation of the proposed system, and a case study are presented in this paper. Using this architecture, real-time scheduling of tasks in the smart shop floor can be achieved. The case study demonstrated the ability of SSUAR to integrate task scheduling with two-way communication between the system and the users. [ABSTRACT FROM AUTHOR]

In the past 10 years, ubiquitous manufacturing (UM) has received a growing amount of attention among researchers in the manufacturing community because ubiquitous computing technologies (UCTs) can be applied to address a wide range of issues in the manufacturing industry, e.g. manufacturing processes and equipment, manufacturing management and planning. However, to the best of the authors' knowledge, there is a lack of comprehensive and critical review from a holistic view of the state-of-the-art UM and its systems. This paper aims to provide a concise overview of the technical features, characteristics and broad range of applications of UM systems published between 1997 and 2017. Among these selected articles, more than 70% of them were published between 2012 and 2017, and they are considered as recent pertinent works which will be discussed in detail. The unique aspects of this paper lie in that this paper summarises and analyses a broad range of the state-of-the-art implementation of UM systems from a holistic and comprehensive view of manufacturing technology, including UM for manufacturing processes, manufacturing control systems, logistics, remanufacturing, cloud manufacturing, production scheduling, production quality control and evaluation, etc. In addition, the current limitation factors and future trends of UM development will also be discussed. [ABSTRACT FROM AUTHOR]