scholarly journals The Current State of Sensing, Health Management, and Control for Small-to-Medium-Sized Manufacturers

2016 ◽  
Author(s):  
Moneer Helu ◽  
Brian Weiss
Keyword(s):  
Case Studies ◽  
New Technologies ◽  
Health Management ◽  
Shop Floor ◽  
Manufacturing Operations ◽  
Diagnosis And Prognosis ◽  
Industrial Sectors ◽  
Current State ◽  
Medium Enterprises ◽  
And Control

The development of digital technologies for manufacturing has been challenged by the difficulty of navigating the breadth of new technologies available to industry. This difficulty is compounded by technologies developed without a good understanding of the capabilities and limitations of the manufacturing environment, especially within small-to-medium enterprises (SMEs). This paper describes industrial case studies conducted to identify the needs, priorities, and constraints of manufacturing SMEs in the areas of performance measurement, condition monitoring, diagnosis, and prognosis. These case studies focused on contract and original equipment manufacturers with less than 500 employees from several industrial sectors. Solution and equipment providers and National Institute of Standards and Technology (NIST) Hollings Manufacturing Extension Partnership (MEP) centers were also included. Each case study involved discussions with key shop-floor personnel as well as site visits with some participants. The case studies highlight SME’s strong need for access to appropriate data to better understand and plan manufacturing operations. They also help define industrially-relevant use cases in several areas of manufacturing operations, including scheduling support, maintenance planning, resource budgeting, and workforce augmentation.

Hierarchical Decomposition of a Manufacturing Work Cell to Promote Monitoring, Diagnostics, and Prognostics

2017 ◽  
Author(s):  
Brian A. Weiss ◽  
Guixiu Qiao
Keyword(s):  
Machine Tools ◽  
Health Management ◽  
Control Strategies ◽  
Industrial Robot ◽  
Work Cell ◽  
Critical Elements ◽  
Functional Relationships ◽  
Manufacturing Operations ◽  
Robot Systems ◽  
And Control

Manufacturing work cell operations are typically complex, especially when considering machine tools or industrial robot systems. The execution of these manufacturing operations require the integration of layers of hardware and software. The integration of monitoring, diagnostic, and prognostic technologies (collectively known as prognostics and health management (PHM)) can aid manufacturers in maintaining the performance of machine tools and robot systems by providing intelligence to enhance maintenance and control strategies. PHM can improve asset availability, product quality, and overall productivity. It is unlikely that a manufacturer has the capability to implement PHM in every element of their system. This limitation makes it imperative that the manufacturer understand the complexity of their system. For example, a typical robot systems include a robot, end-effector(s), and any equipment, devices, or sensors required for the robot to perform its task. Each of these elements is bound, both physically and functionally, to one another and thereby holds a measure of influence. This paper focuses on research to decompose a work cell into a hierarchical structure to understand the physical and functional relationships among the system’s critical elements. These relationships will be leveraged to identify areas of risk, which would drive a manufacturer to implement PHM within specific areas.

scholarly journals Designing the Model of the Management of Mental Health Services

2020 ◽  
Vol 12 (4) ◽  
pp. 297-304
Author(s):  
Shahrooz Rahbari ◽  
Leila Riahi ◽  
Jamaleddin Tabibi
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Health Management ◽  
Psychological Services ◽  
Monitoring And Control ◽  
Current State ◽  
Proposed Model ◽  
Control Community ◽  
And Control

Introduction: Having mental health is necessary for the growth and prosperity of humans and as a result of the growth of societies.Objectives: The purpose of this study was to design a mental health management model in Iran.Methods: In this exploratory study, a review study was first performed to analyze the current state of mental health services in Iran and the world. Countries were selected to compare mental health management with Iran in 6 domains. 311 faculty members with mental health were completed by completing a questionnaire with 50 items in the study. Using the factor analysis, the final model was explained. Results: The effective domains in Iranian mental health services management were named in 8 areas: Mental Health in Particular, Key Centers and Task-Shifting, Human Resources and Specialists Training, Psychological Services for Children and Adolescents, Financial Resources and Hospital Services, Mental Health in PHC and Primary medical services, Policy-Making and Human Rights, Monitoring and Control, Community-Based Services. Conclusions: The proposed model of mental health services management in Iran consists of 8 domains, which is a comprehensive and multidimensional concept. Paying attention to its factors can lead to the successful management of mental health services in Iran.

scholarly journals An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-physical Systems

2019 ◽  
Vol 1 (1) ◽  
pp. 3581-3590
Author(s):  
Thomas J Byrne ◽  
Aleksandr Doikin ◽  
Felician Campean ◽  
Daniel Neagu
Keyword(s):  
Knowledge Integration ◽  
New Technologies ◽  
Health Management ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Communication Devices ◽  
New Generation ◽  
And Control ◽  
Functional Transformations ◽  
Dynamic Alignment

AbstractAdvancing Industry 4.0 concepts by mapping the product of the automotive industry on the spectrum of Cyber Physical Systems, we immediately recognise the convoluted processes involved in the design of new generation vehicles. New technologies developed around the communication core (IoT) enable novel interactions with data. Our framework employs previously untapped data from vehicles in the field for intelligent vehicle health management and knowledge integration into design. Firstly, the concept of an inter-disciplinary artefact is introduced to support the dynamic alignment of disparate functions, so that cyber variables change when physical variables change. Secondly, the axiomatic categorisation (AC) framework simulates functional transformations from artefact to artefact, to monitor and control automotive systems rather than components. Herein, an artefact is defined as a triad of the physical and engineered component, the information processing entity, and communication devices at their interface. Variable changes are modelled using AC, in conjunction with the artefacts, to aggregate functional transformations within the conceptual boundary of a physical system of systems.

scholarly journals Measurement and Evaluation for Prognostics and Health Management (PHM) for Manufacturing Operations – Summary of an Interactive Workshop Highlighting PHM Trends

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Brian Weiss ◽  
Michael Brundage
Keyword(s):  
Health Management ◽  
Cost Effective ◽  
Lessons Learned ◽  
Annual Conference ◽  
Prognostics And Health Management ◽  
Manufacturing Operations ◽  
Current State ◽  
Effective Manner ◽  
Measurement And Evaluation ◽  
Interactive Workshop

Personnel from the National Institute of Standards and Technology (NIST) organized and led a Measurement and Evaluation for Prognostics and Health Management for Manufacturing Operations (ME4PHM) workshop at the 2019 Annual Conference of the Prognostics and Health Management Society held on September 23rd, 2019 in Scottsdale, Arizona. This event featured panel presentations and discussions from industry, government, and academic participants who are focused in advancing monitoring, diagnostic, and prognostic (collectively known as prognostic and health management (PHM)) capabilities within manufacturing operations. The participants represented a diverse cross-section of technology developers, integrators, end-users/manufacturers (from small to large), and researchers. These contributors discussed 1) what works well, 2) common challenges that need to be addressed, 3) where the community’s priorities should be focused, and 4) how PHM technological adoption can be sped in a cost-effective manner. This report summarizes the workshop and offers lessons learned regarding the current state of PHM. Based upon the discussions, recommended next steps to advance this technological domain are also presented.

scholarly journals DEVELOPING ECO-INNOVATION IN BUSINESS PRACTICE IN SLOVAKIA

2017 ◽  
Vol 18 (5) ◽  
pp. 1042-1061 ◽  
Author(s):  
Jana HRONCOVÁ VICIANOVÁ ◽  
Jana JAĎUĎOVÁ ◽  
Silvia ROLÍKOVÁ
Keyword(s):  
New Technologies ◽  
Slovak Republic ◽  
Environmental Benefits ◽  
Economic Activities ◽  
Mutual Cooperation ◽  
Industrial Sectors ◽  
Current State ◽  
Environmental Technologies ◽  
The Relationship ◽  
Innovation Policies

The paper presents the analyses and evaluates the current state of implementation of eco-innovation in the most energy-intensive sectors in Slovakia and also compares the eco-innovation performance of EU countries. Furthermore, it identifies the economic and environmental benefits from which businesses can profit following the introduction of this type of eco-innovation; it confirms the relationship between investments in environmental technologies and increasing sales of ecological products and services and identifies opportunities for development of eco-innovations in Slovakia. The industrial sectors in Slovakia have the potential to utilise eco-innovation throughout the structure of their economic activities, to develop new technologies and knowledge as well as in creating and developing partnerships, networks and mutual cooperation for the development of eco-innovation on the proviso that appropriate supporting eco-innovation policies and stimulus measures are in place. An analysis of the current state of eco-innovations in the selected enterprises was carried out on the basis of original empirical research which is based on a questionnaire survey on enterprises in the Slovak Republic.

scholarly journals Smart Manufacturing PHM

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Brian A. Weiss ◽  
Philip Freeman ◽  
Jay Lee ◽  
Radu Pavel
Keyword(s):  
Health Monitoring ◽  
Machine Tools ◽  
Manufacturing System ◽  
New Technologies ◽  
Health Management ◽  
Smart Manufacturing ◽  
Prognostics And Health Management ◽  
Monitoring And Control ◽  
Supply Chain Disruptions ◽  
And Control

The age of Smart Manufacturing has arrived where more and more organizations are embracing it to innovate and maintain their competitiveness. Smart Manufacturing blends information technology (IT) with operations technology (OT) to enable greater productivity, efficiency, quality, and customization within factory operations. More specifically, emerging and existing factory-floor level technologies (including robotics, machine tools, additive processes, automation, and sensors) are being fused with networking (both wired and wireless) and analysis technologies to generate more timely, accurate, and appropriate communication. This communication directly enables more intelligent sensing, monitoring, and control of the overall manufacturing system, including its constituent processes and sub-systems. Organizations that are adopting a smart manufacturing approach have become more flexible and adaptive to address changing customer demands, integrate new technologies, mitigate supply chain disruptions, and better utilize their human workforce. Prognostics and Health Management (PHM), in the context of Smart Manufacturing, focuses on the technologies and capabilities that enable health monitoring, diagnostics, and prognostics to promote greater intelligence in maintenance and control activities.

scholarly journals Genome-Scale Technology Driven Advances to Research into Normal and Malignant Haematopoiesis

Scientifica ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-11
Author(s):  
Berthold Göttgens
Keyword(s):  
Cell Biology ◽  
New Technologies ◽  
Adult Stem Cell ◽  
Chip Sequencing ◽  
Diagnosis And Prognosis ◽  
Research Fields ◽  
Current State ◽  
Cancer Genome Sequencing ◽  
Large Numbers ◽  
Genome Scale

Haematopoiesis or blood development has long served as a model system for adult stem cell biology. Moreover, when combined, the various cancers of the blood represent one of the commonest human malignancies. Large numbers of researchers have therefore dedicated their scientific careers to studying haematopoiesis for more than a century. Throughout this period, many new technologies have first been applied towards the study of blood cells, and the research fields of normal and malignant haematopoiesis have also been some of the earliest adopters of genome-scale technologies. This has resulted in significant new insights with implications ranging from basic biological mechanisms to patient diagnosis and prognosis and also produced lessons likely to be relevant for many other areas of biomedical research. This paper discusses the current state of play for a range of genome-scale applications within haemopoiesis research, including gene expression profiling, ChIP-sequencing, genomewide association analysis, and cancer genome sequencing. A concluding outlook section explores likely future areas of progress as well as potential technological and educational bottlenecks.

When Temporal Orbits Collide: Embodied Trans Temporalities in U.S. Prisons

Somatechnics ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 74-94 ◽  
Author(s):  
Rae Rosenberg
Keyword(s):  
United States ◽  
Case Studies ◽  
The United States ◽  
Industrial Complex ◽  
Prison Industrial Complex ◽  
Trans Women ◽  
And Control

This paper explores trans temporalities through the experiences of incarcerated trans feminine persons in the United States. The Prison Industrial Complex (PIC) has received increased attention for its disproportionate containment of trans feminine persons, notably trans women of colour. As a system of domination and control, the PIC uses disciplinary and heteronormative time to dominate the bodies and identities of transgender prisoners by limiting the ways in which they can express and experience their identified and embodied genders. By analyzing three case studies from my research with incarcerated trans feminine persons, this paper illustrates how temporality is complexly woven through trans feminine prisoners' experiences of transitioning in the PIC. For incarcerated trans feminine persons, the interruption, refusal, or permission of transitioning in the PIC invites several gendered pasts into a body's present and places these temporalities in conversation with varying futures as the body's potential. Analyzing trans temporalities reveals time as layered through gender, inviting multiple pasts and futures to circulate around and through the body's present in ways that can be both harmful to, and necessary for, the assertion and survival of trans feminine identities in the PIC.

Advanced Acoustic Micro Imaging Applications: Deciphering Multiple Acoustic Echoes and Reflections

2004 ◽  
Author(s):  
Andrew J. Komrowski ◽  
Luis A. Curiel ◽  
Daniel J. D. Sullivan ◽  
Quang Nguyen ◽  
Lisa Logan-Willams
Keyword(s):  
Failure Analysis ◽  
Case Studies ◽  
New Technologies ◽  
Electronic Packages ◽  
Advanced Packaging ◽  
Ic Package ◽  
Non Destructive

Abstract The acquisition of reliable Acoustic Micro Images (AMI) are an essential non-destructive step in the Failure Analysis (FA) of electronic packages. Advanced packaging and new IC materials present challenges to the collection of reliable AMI signals. The AMI is complicated due to new technologies that utilize an increasing number of interfaces in ICs and packages. We present two case studies in which it is necessary to decipher the acoustic echoes from the signals generated by the interface of interest in order to acquire trustworthy information about the IC package.

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