Digital technologies in architecture, engineering, and construction

Digitalization in the architecture, engineering, and construction (AEC) sector is slow due to significant challenges in technology adoption. The study aims to promote technology adoption by advancing the understanding of digital technologies in the AEC sector. This article presents the findings from a quantitative scoping review, encompassing 3950 technology-related abstracts retrieved from the Scopus database, providing a preliminary assessment of literature size, geographic innovation hotspots, research gaps, and key concepts in the AEC field. The results show that Building Information Modelling (1852 studies) dominates the literature, while topics like 3D Printing (311) and Internet of Things (227) are gaining traction. China (687 publications) and the United States (566) produce most research articles. Despite the increasing interest in emerging technologies, their implementation often necessitates acquiring specific skill sets. Academia needs to put a stronger focus on these technologies in education and tighter collaboration with the industry is needed.publishedVersio

The agency and geography of socio-technical transitions: the case of urban transport innovations

The objective of this cumulative thesis is to gain deeper insights into the interplay of agency and structure through the empirical example of emerging technologies in the context of Industry 4.0. To achieve this goal, it enriches the theoretical background from evolutionary economic geography with insights from transition studies and management studies. Empirically, the analysis focuses on novelty creation toward intelligent transport systems in an urban environment. This encompasses software solutions such as big data platforms for traffic management, the Internet of Things to create a network of various objects and subjects within the city, or the development of autonomous vehicles. This thesis formulates four overarching research purposes: (1) comprehending socio-technical transitions during Industry 4.0 from an agency-based perspective; (2) understanding how agency facilitates or hinders innovation development; (3) identifying the impact of multi-scalar and cross-sectoral relations; and (4) integrating different theoretical approaches to gain a holistic understanding of the empirical domain. The thesis adopts a qualitative research design with a philosophical grounding in critical realism, drawing on semi-structured expert interviews, literature reviews, and document and network analysis. The main contribution of this thesis rests on four distinct research papers. A systematic literature review sets the conceptual basis for the analysis, identifying future research avenues based on the existing research body. The first case study analyzes the development of an app-based solution for managing urban logistics in Barcelona from a multi-level perspective. The other two case studies investigate the evolution of advanced air mobility in Germany and the city of Hamburg

A Knowledge Graph for Industry 4.0

One of the most crucial tasks for today’s knowledge workers is to get and retain a thorough overview on the latest state of the art. Especially in dynamic and evolving domains, the amount of relevant sources is constantly increasing, updating and overruling previous methods and approaches. For instance, the digital transformation of manufacturing systems, called Industry 4.0, currently faces an overwhelming amount of standardization efforts and reference initiatives, resulting in a sophisticated information environment. We propose a structured dataset in the form of a semantically annotated knowledge graph for Industry 4.0 related standards, norms and reference frameworks. The graph provides a Linked Data-conform collection of annotated, classified reference guidelines supporting newcomers and experts alike in understanding how to implement Industry 4.0 systems. We illustrate the suitability of the graph for various use cases, its already existing applications, present the maintenance process and evaluate its quality

The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

The role of digital technologies (DTs) in humanitarian supply chains (HSC) has become an increasingly researched topic in the operations literature. While numerous publications have dealt with this convergence, most studies have focused on examining the implementation of individual DTs within the HSC context, leaving relevant literature, to date, dispersed and fragmented. This study, through a systematic literature review of 110 articles on HSC published between 2015 and 2020, provides a unified overview of the current state-of-the-art DTs adopted in HSC operations. The literature review findings substantiate the growing significance of DTs within HSC, identifying their main objectives and application domains, as well as their deployment with respect to the different HSC phases (i.e., Mitigation, Preparedness, Response, and Recovery). Furthermore, the findings also offer insight into how participant organizations might configure a technological portfolio aimed at overcoming operational difficulties in HSC endeavours. This work is novel as it differs from the existing traditional perspective on the role of individual technologies on HSC research by reviewing multiple DTs within the HSC domain

Energy Storage Roadmap for Northeast Ohio 2019: Full Report

The 2019 Energy Storage Roadmap examines the trends that are driving growth in energy storage for the electric power grid, transportation, and consumer electronics applications. The report also highlights the commercial and structural assets that Northeast Ohio currently possesses that could enable it to capture an increasing share of what is projected to be a $100 billion market by 2025. While disruptive market forces are causing the ground to shift for the advanced energy industry, this shift will present opportunities for Northeast Ohio to capitalize on innovative technologies being developed regionally that would enable the realization of appreciably greater economic growth. The 2019 Roadmap provides a background on Energy Storage technologies and the role the region currently plays in their development. The Roadmap also provides a vision for how existing local assets can be leveraged in conjunction with funding opportunities for technology innovation to capture a larger share of this high-growth market. The goal of the 2019 Roadmap is to propose how assets and strategies can together be deployed to establish the region as an energy storage activity hub

Winning AI Strategy: Six-Steps to Create Value from Artificial Intelligence

As part of industry 4.0, many organizations feel the need to explore the possibilities artificial intelligence may provide for their businesses. Still, not every organization that implements or makes use of AI benefits in this way let alone extracts value from them. This paper aims to investigate the challenges associated with AI business value creation. Through a comprehensive analysis of the top AI actual use cases across 7 industries and a systematization of the existing literature, we formulated the challenges in deploying and reaping business value from AI at the organization-level. Six challenges of AI at organization-level have emerged from our analysis. They are AI business case, Relative benefits of AI, Top management support, Effective use of data, AI talent, and AI compatibility. Our work aims at contributing to the body of knowledge on AI technology at organization-level, and at guiding practitioners in identifying and overcome various challenges of AI

The Amazonia Third Way Initiative: The Role of Technology to Unveil the Potential of a Novel Tropical Biodiversity-Based Economy

Abstract For the last two decades, the Amazon development debate has been torn between attempts to reconcile two rather opposing views of land use: on one hand, a vision of setting aside large tracts of the Amazon forests for conservation purposes (referred hereafter to as The First Way) and, on the other hand, seeking a ‘sustainable’ resource-intensive development, mostly through agriculture/livestock, energy and mining (referred hereafter to as The Second Way). The decrease of Brazilian Amazon deforestation from 2005 to 2014 (about 75% decline) opens a window of opportunity to conceive a novel sustainable development paradigm: The Amazonia Third Way initiative (A3W). It can represent a new opportunity emerging to protect the Amazon ecosystems and the indigenous and traditional peoples who are their custodians and at the same time develop a vibrant, socially inclusive biodiversity-driven ‘green economy’ in the Amazon by harnessing Nature’s value through the physical, digital and biological technologies of the 4th Industrial Revolution (4IR). 4IR technologies are increasingly harnessing these assets across many industries from pharmaceutical to energy, food, cosmetics, materials and mobility, and making profits. A3W addresses ways to channel to the Amazon the benefits of the 4IR for the creation of bio-industries and local development as it protects the forests

Building a Simple Smart Factory

This thesis describes (a) the search and findings of smart factories and their enabling technologies (b) the methodology to build or retrofit a smart factory and (c) the building and operation of a simple smart factory using the methodology. A factory is an industrial site with large buildings and collection of machines, which are operated by persons to manufacture goods and services. These factories are made smart by incorporating sensing, processing, and autonomous responding capabilities. Developments in four main areas (a) sensor capabilities (b) communication capabilities (c) storing and processing huge amount of data and (d) better utilization of technology in management and further development have contributed significantly for this incorporation of smartness to factories. There is a flurry of literature in each of the above four topics and their combinations. The findings from the literature can be summarized in the following way. Sensors detect or measure a physical property and records, indicates, or otherwise responds to it. In real-time, they can make a very large amount of observations. Internet is a global computer network providing a variety of information and communication facilities and the internet of things, IoT, is the interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data. Big data handling and the provision of data services are achieved through cloud computing. Due to the availability of computing power, big data can be handled and analyzed under different classifications using several different analytics. The results from these analytics can be used to trigger autonomous responsive actions that make the factory smart. Having thus comprehended the literature, a seven stepped methodology for building or retrofitting a smart factory was established. The seven steps are (a) situation analysis where the condition of the current technology is studied (b) breakdown prevention analysis (c) sensor selection (d) data transmission and storage selection (e) data processing and analytics (f) autonomous action network and (g) integration with the plant units. Experience in a cement factory highlighted the wear in a journal bearing causes plant stoppages and thus warrant a smart system to monitor and make decisions. The experience was used to develop a laboratory-scale smart factory monitoring the wear of a half-journal bearing. To mimic a plant unit a load-carrying shaft supported by two half-journal bearings were chosen and to mimic a factory with two plant units, two such shafts were chosen. Thus, there were four half-journal bearings to monitor. USB Logitech C920 webcam that operates in full-HD 1080 pixels was used to take pictures at specified intervals. These pictures are then analyzed to study the wear at these intervals. After the preliminary analysis wear versus time data for all four bearings are available. Now the ‘making smart activity’ begins. Autonomous activities are based on various analyses. The wear time data are analyzed under different classifications. Remaining life, wear coefficient specific to the bearings, weekly variation in wear and condition of adjacent bearings are some of the characteristics that can be obtained from the analytics. These can then be used to send a message to the maintenance and supplies division alerting them on the need for a replacement shortly. They can also be alerted about other bearings reaching their maturity to plan a major overhaul if needed

Towards a Framework for Smart Manufacturing adoption in Small and Medium-sized Enterprises

Smart Manufacturing (SM) paradigm adoption can scale production with demand without compromising on the time for order fulfillment. A smart manufacturing system (SMS) is vertically and horizontally connected, and thus it can minimize the chances of miscommunication. Employees in an SME are aware of the operational requirements and their responsibilities. The machine schedules are prepared based on the tasks a machine must perform. Predictive maintenance reduces the downtime of machines. Design software optimizes the product design. Production feasibility is checked with the help of simulation. The concepts of product life cycle management are considered for waste reduction. Employee safety, and ergonomics, identifying new business opportunities and markets, focus on employee education and skill enhancement are some of the other advantages of SM paradigm adoption. This dissertation develops an SM paradigm adoption framework for manufacturing SMEs by employing the instrumental research approach. The first step in the framework identified the technical aspects of SM, and this step was followed by identifying the research gaps in the suggested methods (in literature) and managerial aspects for adopting SM paradigm. The technical and the managerial aspects were integrated into a toolkit for manufacturing SMEs. This toolkit contains seven modular toolboxes that can be installed in five levels, depending on an SME’s readiness towards SM. The framework proposed in this dissertation focuses on how an SME’s readiness can be assessed and based on its present readiness what tools and practices the SMEs need to have to realize their tailored vision of SM. The framework was validated with the help of two SMEs cases that have recently adopted SM practices

Industry 4.0 & Servitization: Role and impact of digital servitization strategies in international industrial markets

Il presente progetto di ricerca riguarda l'indagine di due fenomeni principali, la digitalizzazione e la servitizzazione, e la risultante ‘servitizzazione digitale’, all’interno dei mercati industriali. L'obiettivo principale di questo studio è contribuire alla generazione di nuova conoscenza circa i fenomeni indagati e fornire a manager e professionisti validi suggerimenti su come affrontarli con successo. La digitalizzazione e la servitizzazione digitale sono ambiti di ricerca recenti ma in forte crescita, attorno ai quali sta convergendo l'attenzione di numerose figure accademiche e professionali. Nonostante il grande dinamismo che caratterizza tali fenomeni, le imprese industriali si trovano ad affrontare ancora oggi diverse sfide nel tentativo di implementarli. In effetti, le aziende manifatturiere dimostrano di percepire barriere elevate all'investimento in strategie digitali. Adottando un approccio alla problematizzazione, è possibile notare come sia necessario sviluppare ulteriori conoscenze circa i processi di digitalizzazione e servitizzazione al fine di comprendere al meglio i vantaggi e le sfide ad essi connessi. Partendo dall’identificazione di una serie di nuove aree di ricerca ancora poco studiate, questa tesi analizza empiricamente i fenomeni di digitalizzazione e servitizzazione. A tal fine, il presente lavoro di ricerca è strutturato in cinque capitoli principali. Il Capitolo I – Fondamenti teorici e note metodologiche – passa in rassegna la letteratura disponibile su digitalizzazione e servitizzazione digitale e fornisce chiarimenti sulle note metodologiche adottate in questa tesi. Lo scopo del capitolo è fornire un'analisi teorica preliminare sulla digitalizzazione e la servitizzazione. Il Capitolo II – I meccanismi di diffusione della conoscenza di Industria 4.0 nei distretti industriali tradizionali: evidenze dall'Italia – indaga empiricamente la digitalizzazione a livello di analisi contestuale. Il capitolo esamina il contesto e i meccanismi attraverso i quali si stanno diffondendo le tecnologie di Industria 4.0. Il Capitolo III – Verso una prospettiva multilivello sulla servitizzazione digitale – studia empiricamente i percorsi di servitizzazione digitale di due aziende manifatturiere a livello intersettoriale. Il Capitolo IV – Tensioni intra e interorganizzative di una strategia di servitizzazione digitale: evidenze dal settore meccatronico in Italia – è uno studio empirico circa le tensioni emergenti legate alla servitizzazione digitale. In particolare, il capitolo implementa un'indagine approfondita su un'azienda industriale esplorando longitudinalmente le fasi del suo percorso di servitizzazione digitale al fine di districarne la complessità. Il Capitolo V – Osservazioni conclusive e percorsi di ricerca futuri – traccia le conclusioni della ricerca e fornisce linee di ricerca future. I principali contributi di questo lavoro di ricerca possono essere riassunti come segue. Questa tesi evidenzia la stretta connessione tra i fenomeni di digitalizzazione e servitizzazione e prova che la digitalizzazione può essere ‘un’arma a doppio taglio’. I risultati empirici raccolti descrivono la servitizzazione digitale attraverso la sua natura multilivello, che si manifesta su tre livelli: micro (individuale), organizzativo e di network. Inoltre, sottolinea l'impatto del networking nei processi di digitalizzazione e servitizzazione; nuovi attori entrano a far parte della catena del valore e possono influenzare l’andamento dei due fenomeni. Infine, la complessità dei processi di digitalizzazione e servitizzazione è provata empiricamente e si propone evidenza delle difficoltà incontrate dalle aziende manifatturiere nel tentativo di realizzarli