Business analytics in industry 4.0: a systematic review

Recently, the term “Industry 4.0” has emerged to characterize several Information Technology and Communication (ICT) adoptions in production processes (e.g., Internet-of-Things, implementation of digital production support information technologies). Business Analytics is often used within the Industry 4.0, thus incorporating its data intelligence (e.g., statistical analysis, predictive modelling, optimization) expert system component. In this paper, we perform a Systematic Literature Review (SLR) on the usage of Business Analytics within the Industry 4.0 concept, covering a selection of 169 papers obtained from six major scientific publication sources from 2010 to March 2020. The selected papers were first classified in three major types, namely, Practical Application, Reviews and Framework Proposal. Then, we analysed with more detail the practical application studies which were further divided into three main categories of the Gartner analytical maturity model, Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. In particular, we characterized the distinct analytics studies in terms of the industry application and data context used, impact (in terms of their Technology Readiness Level) and selected data modelling method. Our SLR analysis provides a mapping of how data-based Industry 4.0 expert systems are currently used, disclosing also research gaps and future research opportunities.The work of P. Cortez was supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. We would like to thank to the three anonymous reviewers for their helpful suggestions

Semantic BMS: Ontology for Analysis of Building Operation Efficiency

Part 6: Information SystemsInternational audienceBuilding construction has gone through a significant change with the emerging spread of ICT during last decades. Intelligent buildings are equipped with building automation systems (BAS) that can be remotely controlled and programmed. However, such systems lack convenient tools for data inspection, making building performance and efficiency analysis demanding on large sites. The paper presents an adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The proposed Semantic BMS ontology enriches the SSN with a model of building automation data points and describes relations between BAS and physical properties of a building. Proposed ontology allows facility managers to conveniently query BAS systems, providing decision support for tactical and strategic level planning

TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings

The energy consumption of buildings lies often far above the performance objectives of the design phase. This is due to several factors among other serious deficits in the energy operation of building services. TOPAs adopts the principle of continuous performance auditing by not only considering energy use but also knowledge and understanding of the buildings use and their climatic state. Thus it provides a holistic performance auditing process through supporting tools and methodologies that try to minimise the gap between predicted and actual energy use. TOPAs offers an open BMS (Building Management System) IoT driven framework. This framework is composed of core services to connect to any BMS and aggregate all the information in an open platform. Add-on services are also available to improve the understanding of buildings and reduce further the gap

A systematic engineering tool chain approach for self-organizing building automation systems

There is a strong push towards smart buildings that aim to achieve comfort, safety and energy efficiency, through building automation systems (BAS) that incorporate multiple subsystems such as heating and air-conditioning, lighting, access control etc. The design, commissioning and operation of BAS is already challenging when handling an individual subsystem; however when introducing co-operation between systems the complexity increases dramatically. Balancing the contradictory requirements of comfort, safety and energy efficiency and coping with the dynamics of constantly changing environmental conditions, usage patterns, user needs etc. is a demanding task. This paper outlines an approach to the systematic engineering of cooperating, adaptive building automation systems, which aims to formalize the engineering approach in the form of an integrated tool chain that supports the building stakeholders to produce site-specific robust and reliable building automation. © 2013 IEEE

Architecture for self-organizing, co-operative and robust Building Automation Systems

This paper provides an overview of the architecture for self-organizing, co-operative and robust Building Automation Systems (BAS) proposed by the EC funded FP7 SCUBA1 project. We describe the current situation in monitoring and control systems and outline the typical stakeholders involved in the case of building automation systems. We derive seven typical use cases which will be demonstrated and evaluated on pilot sites. From these use cases the project designed an architecture relying on six main modules that realize the design, commissioning and operation of self-organizing, co-operative, robust BAS. © 2013 IEEE

A Comparative Review of Building Information Modelling Implementation in Building and Infrastructure Industries

Rapid advances in building information modelling (BIM) offer new opportunities to improve efficiency and effectiveness of the construction process and enhance the use of emerging technology throughout project’s lifecycle, not only in buildings, but also in infrastructures. Although some researchers have promoted the use of BIM in infrastructures and several reviews in BIM implementation have been conducted; the comparative study of BIM implementation between building and infrastructure industry in a holistic view has not been identified. Hence, the goal of this study is to explore the extent to which level of BIM implementation has achieved in building and infrastructure industries. This exploration was performed differently from two main sources, namely, academic studies and industrial cases, where conventional reviews in BIM were mainly focused on academic publications only. More than forty case studies in academic journals and conference proceedings and twenty four BIM cases in industrial reports were collected and analysed to determine the current BIM uses and emerging BIM applications in both industries. The results show that (1) BIM case studies in academic journals show the high level of BIM implementation in practice; (2) the initial development of BIM in infrastructure can be referred to the existing BIM experience from the building industry; and (3) the comparative analysis of BIM in infrastructure and building cases highlights the support of new BIM use, enhanced of traditional project management and transformation of project delivery method