Smart Cyber-Physical System applications in production and logistics: special issue editorial

status: publishe

Cyber physical approach and framework for micro devices assembly

The emergence of Cyber Physical Systems (CPS) and Internet-of-Things (IoT) based principles and technologies holds the potential to facilitate global collaboration in various fields of engineering. Micro Devices Assembly (MDA) is an emerging domain involving the assembly of micron sized objects and devices. In this dissertation, the focus of the research is the design of a Cyber Physical approach for the assembly of micro devices. A collaborative framework comprising of cyber and physical components linked using the Internet has been developed to accomplish a targeted set of MDA life cycle activities which include assembly planning, path planning, Virtual Reality (VR) based assembly analysis, command generation and physical assembly. Genetic algorithm and modified insertion algorithm based methods have been proposed to support assembly planning activities. Advanced VR based environments have been designed to support assembly analysis where plans can be proposed, compared and validated. The potential of next generation Global Environment for Network Innovation (GENI) networking technologies has also been explored to support distributed collaborations involving VR-based environments. The feasibility of the cyber physical approach has been demonstrated by implementing the cyber physical components which collaborate to assemble micro designs. The case studies conducted underscore the ability of the developed Cyber Physical approach and framework to support distributed collaborative activities for MDA process contexts

Critical Review on Internet of Things (IoT): Evolution and Components Perspectives

Technological advancement in recent years has transformed the internet to a network where everything is linked, and everyday objects can be recognised and controlled. This interconnection is popularly termed as the Internet of Things (IoT). Although, IoT remains popular in academic literature, limited studies have focused on its evolution, components, and implications for industries. Hence, the focus of this book chapter is to explore these dimensions, and their implications for industries. The study adopted the critical review method, to address these gaps in the IoT literature for service and manufacturing industries. Furthermore, the relevance for IoT for service and manufacturing industries were also discussed. While the impact of IoT in the next five years is expected to be high by industry practitioners, experts consider the current degree of its implementation across industry to be on the average. This critical review contributes theoretically to the literature on IoT. In effect, the intense implementation of the IoT, IIoT and IoS will go a long way in ensuring improvements in various industries that would in the long run positively impact the general livelihood of people as well as the way of doing things. Practical implications and suggestions for future studies have been discussed

Strategies to improve cave availability at a South African block cave mine

Abstract: Mining organisations find block cave mining favourable due to being low on operational cost as well as the ability to extract low-grade orebodies. This method comprises various development phases, which commence with the undercut blasting to initiate caving and the subsequent extraction of ore through drawbells in the production level. Block caving also enables the mining of large orebodies with weaker surrounding rock mass. Over time, the presence of large boulders register in the drawpoints, with potential to reduce cave availability. Other considerations for choosing block caving include the need to satisfy safety and production requirements and minimal blasting only limited for the treatment of hang-ups. Hang-ups cause high frequency of idling draw-points that disturb the flow of ore, which require treatment to reduce delays through the function of the Secondary Breaking Unit (SBU). The requirements for SBU include the prioritisation of critical draw-points by ensuring an effective draw control to improve cave availability and to minimise waste ingress. This research study aims to investigate strategies to employ in order to improve cave availability and production performance. The data collection process for the research includes the collection of the real operational data from the mine that covers eighteen months between January 2017 and June 2018. Data collected involves the Load Haul Dump and production data in terms of monthly tonnages. The process also includes the collection of overall loading and hang-up equipment performance. The criteria is on obtaining consistent data longer than six months for analysis. For the comparative and correlational analysis, this study adopts the Pearson’s correlation coefficient. The other considerations involve outlining major contributing factors to low cave availability to determine factors to improve. Once the factors are outlined, the strategies are formulated based on the available literature to determine consistency with the current mine. The results indicate that there is no correlation between improvements in the loading equipment availability and production performance if the other variables remain constant. Focusing on increasing loading equipment as a sole determinant to improve production performance is inadequate. The second main finding indicates two major contributing factors to low cave availability, which include hang-ups and rehabilitation work. The last finding indicates two strategies to improve production performance, which involves the effective treatment of hang-ups and the minimisation of dilution in the ore.M.Phil. (Engineering Management

Factories of the Future

Engineering; Industrial engineering; Production engineerin

Factories of the Future

Engineering; Industrial engineering; Production engineerin

Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries

S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a provozní heuristiky. Tyto přístupy slouží jako základ pro zlepšování procesů. Avšak, jejich výkon lze dále zlepšit pomocí moderní výpočtové inteligence. Účelem této práce je tudíž aplikace pokročilých technik umělé inteligence a strojového učení za účelem zlepšování procesů v energeticky náročných průmyslových procesech. V této práci je využit přístup, který řeší tento problém simulací průmyslových systémů a přispívá následujícím: (i)Aplikace techniky strojového učení, která zahrnuje jednorázové učení a neuro-evoluci pro modelování a optimalizaci jednotlivých jednotek na základě dat. (ii) Aplikace redukce dimenze (např. Analýza hlavních komponent, autoendkodér) pro vícekriteriální optimalizaci procesu s více jednotkami. (iii) Návrh nového nástroje pro analýzu problematických částí systému za účelem jejich odstranění (bottleneck tree analysis – BOTA). Bylo také navrženo rozšíření nástroje, které umožňuje řešit vícerozměrné problémy pomocí přístupu založeného na datech. (iv) Prokázání účinnosti simulací Monte-Carlo, neuronové sítě a rozhodovacích stromů pro rozhodování při integraci nové technologie procesu do stávajících procesů. (v) Porovnání techniky HTM (Hierarchical Temporal Memory) a duální optimalizace s několika prediktivními nástroji pro podporu managementu provozu v reálném čase. (vi) Implementace umělé neuronové sítě v rámci rozhraní pro konvenční procesní graf (P-graf). (vii) Zdůraznění budoucnosti umělé inteligence a procesního inženýrství v biosystémech prostřednictvím komerčně založeného paradigmatu multi-omics.Zlepšení průmyslových procesů, Model založený na datech, Optimalizace procesu, Strojové učení, Průmyslové systémy, Energeticky náročná průmyslová odvětví, Umělá inteligence.

Evolvable Smartphone-Based Point-of-Care Systems For In-Vitro Diagnostics

Recent developments in the life-science -omics disciplines, together with advances in micro and nanoscale technologies offer unprecedented opportunities to tackle some of the major healthcare challenges of our time. Lab-on-Chip technologies coupled with smart-devices in particular, constitute key enablers for the decentralization of many in-vitro medical diagnostics applications to the point-of-care, supporting the advent of a preventive and personalized medicine. Although the technical feasibility and the potential of Lab-on-Chip/smart-device systems is repeatedly demonstrated, direct-to-consumer applications remain scarce. This thesis addresses this limitation. System evolvability is a key enabler to the adoption and long-lasting success of next generation point-of-care systems by favoring the integration of new technologies, streamlining the reengineering efforts for system upgrades and limiting the risk of premature system obsolescence. Among possible implementation strategies, platform-based design stands as a particularly suitable entry point. One necessary condition, is for change-absorbing and change-enabling mechanisms to be incorporated in the platform architecture at initial design-time. Important considerations arise as to where in Lab-on-Chip/smart-device platforms can these mechanisms be integrated, and how to implement them. Our investigation revolves around the silicon-nanowire biological field effect transistor, a promising biosensing technology for the detection of biological analytes at ultra low concentrations. We discuss extensively the sensitivity and instrumentation requirements set by the technology before we present the design and implementation of an evolvable smartphone-based platform capable of interfacing lab-on-chips embedding such sensors. We elaborate on the implementation of various architectural patterns throughout the platform and present how these facilitated the evolution of the system towards one accommodating for electrochemical sensing. Model-based development was undertaken throughout the engineering process. A formal SysML system model fed our evolvability assessment process. We introduce, in particular, a model-based methodology enabling the evaluation of modular scalability: the ability of a system to scale the current value of one of its specification by successively reengineering targeted system modules. The research work presented in this thesis provides a roadmap for the development of evolvable point-of-care systems, including those targeting direct-to-consumer applications. It extends from the early identification of anticipated change, to the assessment of the ability of a system to accommodate for these changes. Our research should thus interest industrials eager not only to disrupt, but also to last in a shifting socio-technical paradigm

Research and innovation 2019

Research and innovation are two pillars that come together when universities are at stake. The expansion of the frontiers of human knowledge, in all areas and disciplines, is an irrefutable commitment of higher education institutions. Together with public and private entities, they are also committed to promoting knowledge transfer to society and the economy, in the form of new ideas, new products and new processes. Universities are supposed to transform ideas into value for society. To achieve these goals, higher education institutions have to assure their human resources are highly qualified, that they have an adequate atmosphere, that research is of high quality, and finally that adequate interactions take place. At UMinho we have a clear strategy to be an open and permanent space for knowledge production and furtherance of nationally and internationally relevant innovation across different social and economic sectors. For many years, UMinho has adopted the principles of open access and open science. We aim at carrying out our scientific activity and the dissemination of the corresponding results transparently and collaboratively; this implies that researchers, citizens, policymakers, state agencies, companies, and third sector organizations work in close cooperation facing research and innovation processes. We believe this is the shorter way to trigger smart and sustainable growth and qualified job creation. At UMinho, we encourage the coupling between research and education. Our goal is to expand research opportunities and to give our students occasions to experience vibrant research environments, ensuring that learning goes beyond the “common” routines. Joining research and learning processes provides both undergraduate and postgraduate students with opportunities to own their learning process. We believe that research experience has a role to play in improving students’ motivation for learning, in the pursuit of their interests. Doing better science occurs when we make it both more sensitive to the needs of society and also more efficient in what concerns the allocated resources. It is also a question of accountability. This is fundamental for reinforcing society awareness about our contributions to human and social development. Following the 2018 publication, we present here the 2019 edition of Research and Innovation, a series that draws on the outcomes of the activity of the UMinho research and innovation ecosystem. This comprehensive volume gives particular emphasis to the Research Units outcomes, namely in terms of funding, research projects, papers, and the most important achievements; the activity of the Interface Units and Collaborative Laboratories in which UMinho participates is also reported, through their activities and institutional projects, making evident their importance for the continuous growth of our Institution, our region, and our country. Rui Vieira de Castro RectorPublishe

The appraisal of Facebook online community: An exposition of mobile commerce in social media reviews

Peer reviewe