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A great contest is changing American manufacturing firms. Worldwide competitors have imposed growing pressures on American manufacturers to become more competitive. In addition, the rapid advances in manufacturing technology and the recent development of productivity improvement concepts have forced an increasing number of firms to consider incorporating new trends into their manufacturing decisions. In particular, Factory Automation (FA) has received considerable interest among manufacturers.

The purpose of this paper is to describe the development of a novel mobile monitoring and control (MC) framework with active-push and plug-and-play capabilities. This proposed framework is particularly designed to addresses the shortcomings of the traditional factory MC systems in sharing information over the internet, protecting the system security, delivering warning messages, and deploying monitoring points.

By leveraging web service technology, mobile devices, and wireless communication, this paper describes the methodology and approach for designing a MC server, a wireless monitoring module (WMM), an intelligent v-Machine, two active-push mechanisms, a pocket PC application, and a smart phone application.

The designed WMM enables the monitoring points to be deployed in a mobile manner. The proposed mobile MC framework (MMCF) can timely detect abnormalities of appliances and equipment and turn off appliances in dangerous situations through WMM. It can also instantly deliver various warning contents to the mobile devices carried by the responsible persons. The v-Machine is built based on virtual metrology (VM) technology and can predict production precision of machined workpieces.

With the successful design and testing of the novel MMCF, this framework can obviously be used for many more applications and developments.

The authors' implement a factory MC system based on the proposed framework and conduct various integration tests on two electric appliances and a practical CNC machine tool in a factory. Testing results shows that the factory MC system works smoothly according the design goals and can overcome the shortcomings of traditional factory MC systems. The MC system also presents good performances, instantly delivering warning contents with a size ranging from 1K bytes to 10M bytes to the users within few seconds.

The proposed MMCF exploits various automation technologies to detect equipment's abnormalities, reduce the rate of product defects caused by human errors, reinforce security, prevent accidents, and ensure the safety of operations.

The proposed MMCF can effectively promote existing factory MC systems to achieve the merits of mobile MC, which is a unique contribution of this work, compared to previous studies. The results of this study can be applied to a variety of industrial automation applications, including factory automation and assembly automation.

Industry 4.0 implies that global challenges exist within the manufacturing sector. Both theoretical and empirical research has been developed to support these transformations and assist companies in the process of changing. The purpose of this paper is to gather previous articles through an updated review and defines a research agenda for future investigation based on the most recent studies published in the field.

Key articles on the subject are analysed. The articles were published in 39 journals from which 107 papers dating from 2005 to 2018 have been selected.

The main findings imply the definition of a research agenda where: a common terminology should be created; the levels of implementation of Industry 4.0 should be defined; the stages of the development of Industry 4.0 should be identified; a lean approach for this industry is defined and the implications of Industry 4.0 in either a sustainable or circular economy should be understood; the consequences of human resources should be analysed; and the effects of the smart factory in the organisation are the areas identified and studied in the mentioned research agenda.

This review has some limitations. First, a number of grey literature, such as reports from non-governmental organisations and front-line practitioners’ reflections, were not included. Second, only research studies in English and Spanish were reviewed.

This review helps practitioners in their implementation of Industry 4.0. Moreover, the identified future research areas may help to define priorities in this implementation.

After examining previous research, this paper proposes a research agenda covering issues about Industry 4.0. This research agenda should guide future investigations in the smart industry.

Aims to present an alternative way of interpreting unfolding events as these pertain to the organisation of manufacturing practices in the assembly plants of the leading Japanese car assembler, Toyota.

This is an analysis of assembly plant automation in the automotive industry.

Fifteen years ago, it was argued that the lean car assembly plants of the future would be comprehensively automated, but that in the meantime organization rather than automation was the watch‐word for efficient plants. Today it is possible to invert this prognosis as it applies to the leading “lean” car assembler, Toyota. Automation certainly played a much larger role in accounting for high labour productivity in the late 1980s than has generally been understood; but in the subsequent years priority has been given to managing the manual component in car assembly, and aggressive automation as a preferred strategy has been put on ice.

The findings raise new questions about future trends in the world automotive industry.

Today, due to the rapid change of manufacturing technology, many firms have to produce efficiently with minimum cost and best quality in order to maintain their status in the markets. Having invested a great deal of money in R&D the manufacturing environment is very competitive, using many advanced technologies such as computers, microelectronics, Computer‐Aided Design, Computer‐Aided Manufacturing, Flexible Manufacturing Systems and industrial robots. This means managers must acquire some technical knowledge and workers must be prepared to move from direct manufacturing to the information sector or to professional services because automation requires many professionals and technicians.

Sloping topographies in urban areas are often under-utilised due to complex designs and difficult access, resulting in low construction productivity and high cost. Automated construction techniques are usually limited to flat sites or lab spaces. This research combines concepts for automated and prefabricated construction with hillside dwelling design. It proposes a strategy to integrate both aspects and to equally inform design process and design output. The aims are to turn hillside access and construction automation into design generators, improve productivity and use more affordable hillside sites.

Analysis of typologies for hillside housing and automated construction techniques is used to derive principles and parameters to inform a strategy and generative script for setting out, volumetric disposition and access and using the topography as a design-generator. The output from the generative script and tool can then form the basis of a high-density, low-rise dwelling development suited for serial, automation-assisted construction. The strategy is tested on a case study site.

The typological analysis helps devising strategies for integrating construction robotics and design criteria for hillside housing. The generative script illustrates how a strategy is implemented and used in a design tool able to absorb varying input data, including topographies. This generates innovative, site-specific design outcomes, suited for a process that adapts contemporary construction automation techniques and allows for more efficient use of hillside sites.

This research builds on construction automation methods and proposes novel combinations and adaptations for use on hillside sites. It demonstrates how robotics and generative tools can inform early design stages.

Automation is one of the ways in which enterprises can lower production costs and improve their quality. Since automation has a major impact on the nature of work and jobs, it demands new skills from supervisors. The major purpose of the study outlined here was to attempt to discover those approaches which are most effective in updating and changing supervisor skill formation. Questionnaires, covering working attitude, professional skills, interpersonal skills, administrative skills and mental skills, were sent to 1,000 members of Taiwan Electrical and Electronics Manufacturing Association. The results suggest that self‐development is most effective in fostering working attitudes, interpersonal skills and mental skills, while off‐job training outperforms self‐development and on‐job training in developing professional skills and administrative skills. Details more specific methods for effective supervisor skill formation, which show that supervisors can be educated to meet the requirements of an automated working environment.

The purpose of this paper is to identify how industrial robotics fits into lean manufacturing systems. This paper presents results from case studies where Swedish and Japanese manufacturing industries have been compared in order to identify differences on how advanced manufacturing technologies and industrial robotics are utilized.

The research has been conducted via case studies where researchers from academia have worked together with industrial companies. During the case studies, the results of interviews, observations and data collection in the form of performance measures and historical production data have been analyzed.

This paper highlights some of the differences between how Swedish and Japanese companies work with industrial robotics. It also proposes some key areas where development could lead to better integration of industrial robotics into lean manufacturing systems.

This research has been performed with the intention of identifying how manufacturing industries could increase their competitiveness through industrial robot automation. The companies involved in the research project have received feedback on their automation solutions. The overall goal is to create a guideline for how to design industrial robotic work cells that can easily be integrated into lean manufacturing systems. This research area is important in order to increase competitiveness in industry. It is thus of value for both industry and the scientific community.

In modern corporations, internal R&D is considered an important source of new products and, therefore, a major mechanism of new business generation. Innovation studies report, however, that only a small fraction of all R&D projects are successful. They recognise that the quality of management is a key factor in predicting the outcome of innovation processes. In spite of this consensus, only a few empirical studies have described how managers from various organisational positions jointly produce certain innovative outcomes in certain industries and corporate contexts (Maidique 1980, Burgelman & Sayles 1986).

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