Distribution of Integrated Business Applications

New corporate developments, such as globalization, diversification and process orientation, are posing a challenge to the degree of integration of business application software. International standard software designed to meet the requirements of all types of business is acquiring greater strategic significance. The increased need for flexibility, localization, and scalable growth makes it necessary for highly integrated businesses applications to be distributable. Possible scenarios reflect managerial and organizational requirements. Additional mechanisms must be incorporated and business processes adapted to compensate for the increased autonomy of sub-applications. Reprint of an article from WIRTSCHAFTSINFORMATIK 35(5)1993:455–464

The Industrial Internet and the Potentially Economically Disruptive Technologies

This first chapter is based on Industry 4.0 in its entirety; origin, definition of the Fourth Industrial Revolution, its main characteristics, current transformation segments, challenges and opportunities, the presence of companies in worldwide network Industry 4.0, the disruptive technologies with a significant potential to drive economic impact and disruption, implications and challenges for business leaders in this new technological and business landscape.2019-2

Literature search of key factors for the development of generic and specific maturity models for industry 4.0

The adequacy of business models to Industry 4.0 (I4.0) is an urgent requirement and a clear concern. Ways to recognize the relative position of a company and ways to evolve towards this new paradigm are an important step both for researchers and professionals. In general, most small and medium enterprises (SME) do not have their own resources or do not have the means to be fully supported by consultancies, to develop a specific model, and they do not recognize themselves as ready to initiate any action to adapt to this new paradigm. Based on the idea of identification of directions and opportunities of research about the conditions for the adoption of approaches involving readiness assessment, implementation framework, roadmap and maturity model, the main objective of this article is the identification of factors for the development of specific maturity models, oriented towards unique conditions, located in specific contexts, and that can cover both the need for self-diagnosis of the level of preparation, as well as the actions that aim to achieve a progressive reconfiguration and guided by continuous improvement towards Industry 4.0. A Systematic Literature Review (SLR) of 67 articles was conducted and resulted in the identification of two approaches to address maturity models, which are the application of existing generic models and the process of building specific ones focused on the peculiarities of certain contexts. Moreover, this work points out five factors for development of a specific maturity model: context characterization, conceptual characterization, interaction with practitioners and experts, development of surveys, and qualitative research. Additionally, this work identified the need for development of methodologies that can be applied in a more autonomous way for the development of specific maturity models.This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the R&D UnitsProject Scope UIDB/00319/2020

The environmental impact of advanced manufacturing technologies

The purpose of the paper is to demonstrate the beneficial impact of advanced manufacturing technologies (AMT) on firms’ environmental performance. Drawing on interviews conducted with 16 Hungarian manufacturing subsidiaries on their experience with AMT, we find three functional areas, where industry 4.0 solutions can not only enhance operational excellence and cost-efficiency, but they can also improve eco-efficiency, but they can also improve eco-efficiency, namely in the field of quality management (through smart production control, data analytics and predictive modelling solutions); process optimization (through capacity planning and production scheduling solutions); and product and process engineering (through advanced virtual technologies). We also find that AMT adoption facilitated subsidiary upgrading along various dimensions. The main managerial implication is that subsidiaries need to be proactive, and emphasize also the benefits stemming from energy and resource efficiency improvement when lobbying for investment in AMT

A categorical framework of manufacturing for industry 4.0 and beyond

AbstractWith rapid advancements in industry, technology and applications, many concepts have emerged in manufacturing. It is generally known that the far-sighted term ‘Industry 4.0’ was published to highlight a new industrial revolution. Many manufacturing organizations and companies are researching this topic. However, the achievement criteria of Industry 4.0 are as yet uncertain. In addition, the technology roadmap of accomplishing Industry 4.0 is still not clear in industry nor in academia to date. This paper focuses on the fundamental conception of Industry 4.0 and the state of current manufacturing systems. It also identifies the research gaps between current manufacturing systems and Industry 4.0 requirements. The major contribution is an implementation structure of Industry 4.0, consisting of a multi-layered framework is described, and is shown how it can assist people in understanding and achieving the requirements of Industry 4.0

A review of the meanings and the implications of the Industry 4.0 concept

The global industrial landscape has changed deeply in the last few years due to successive technological developments and innovations in manufacturing processes. The Industry 4.0 concept has emerged and the academic literature has paid an increased attention to this topic, which remains non-consensual or ill defined. In this research, a literature review is made to understand this concept in its technological dimension, and to comprehend its impacts. This new industrial paradigm brings together the digital and physical worlds through the Cyber-Physical Systems enhanced by Internet of Things and it is expected that this novel has consequences on industry, markets and economy, improving production processes and increasing productivity, affecting the whole product lifecycle, creating new business models, changing the work environment and restructuring the labor market. Therefore, this paper focuses on Industry 4.0 concept and contributes for its clarification and further understanding about the importance and implications of this complex technological system.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio

Organisational sustainability modelling - An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies

© 2015 Elsevier Ltd. Cloud Computing is an emerging technology which promises to bring with it great benefits to all types of computing activities including business support. However, the full commitment to Cloud Computing necessary to gain the full benefit is a major project for any organisation, since it necessitates adoption of new business processes and attitudes to computing services in addition to the immediately obvious systems changes. Hence the evaluation of a Cloud Computing project needs to consider the balance of benefits and risks to the organisation in the full context of the environment in which it operates; it is not sufficient or appropriate to examine technical considerations alone.In this paper, we consider the application of CAPM, a well established approach used for the analysis of risks and benefits of commercial projects to Cloud adoption projects and propose a revised and improved technique, OSM. To support the validity of OSM, two full case studies are presented. In the first, we describe an application of the approach to the iSolutions Group at University of Southampton, which focuses on evaluations of Cloud Computing service improvement. We then illustrate the use of OSM for measuring learning satisfaction of two cohort groups at the University of Greenwich. The results confirm the advantages of using OSM. We conclude that OSM can analyse the risk and return status of Cloud Computing services and help organisations that adopt Cloud Computing to evaluate and review their Cloud Computing projects and services. OSM is an emerging service and analytics model supported by several case studies

A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation

In order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments