scholarly journals Iterative Minimum Viable Product Approach to Implementing AI, RPA, and BI Solutions

2021 ◽  
Vol 5 (1) ◽  
pp. 44-50
Author(s):  
Rishab Srivastava

Breakthrough technologies can be considered as exponentially disruptive to organizations across industries within the last few decades of the 21st century, as they have significantly altered the way their business units or customers operate. Artificial Intelligence related cognitive technologies are some of the latest disruptive solutions currently being adopted by organizations. Organizational leaders may feel both the pressure and excitement of adopting such nascent technology quickly and at scale. However, due to organizational knowledge gaps of nascent solutions, transformative large-scale initiatives have a higher risk of negative impact on failure to implement. On the other hand, an iterative approach allows for the implementation to occur in smaller amounts and leaves room for incorporating feedback and lessons learned in future iterations, thus mitigating the risks involved with the undertaking. This article breaks down the nascent field of advanced cognitive technologies into three main categories based on their business use cases: process automation, cognitive insights, and cognitive engagement. It then explores implementing this technology in each of its three categories through the lens of a popular iterative product lifecycle management approach (i.e., the Minimum Viable Product) to reduce the risk of failure or other negative impacts on an organization adopting cognitive solutions.

Author(s):  
Masato Matsumoto ◽  
Kyle Ruske

<p>Condition ratings of bridge components in the Federal Highway Administration (FHWA)’s Structural Inventory and Appraisal database are determined by bridge inspectors in the field, often by visual confirmation or direct- contact sounding techniques. However, the determination of bridge condition ratings is generally subjective depending on individual inspectors’ knowledge and experience, as well as varying field conditions. There are also limitations to access, unsafe working conditions, and negative impacts of lane closures to account for. This paper describes an alternative method to obtaining informative and diagnostic inspection data for concrete bridge decks: mobile nondestructive bridge deck evaluation technology. The technology uses high- definition infrared and visual imaging to monitor bridge conditions over long-term (or desired) intervals. This combination of instruments benefits from rapid and large-scale data acquisition capabilities. Through its implementation in Japan over the course of two decades, the technology is opening new possibilities in a field with much untapped potential. Findings and lessons learned from our experience in the states of Virginia and Pennsylvania are described as examples of highway-speed mobile nondestructive evaluation in action. To validate the accuracy of delamination detection by the visual and infrared scanning, findings were proofed by physical sounding of the target deck structures.</p>


2021 ◽  
Vol 3 ◽  
Author(s):  
Antoine Vallatos ◽  
James M. Maguire ◽  
Nikolas Pilavakis ◽  
Gabrielis Cerniauskas ◽  
Alexander Sturtivant ◽  
...  

During the COVID-19 pandemic, global health services have faced unprecedented demands. Many key workers in health and social care have experienced crippling shortages of personal protective equipment, and clinical engineers in hospitals have been severely stretched due to insufficient supplies of medical devices and equipment. Many engineers who normally work in other sectors have been redeployed to address the crisis, and they have rapidly improvised solutions to some of the challenges that emerged, using a combination of low-tech and cutting-edge methods. Much publicity has been given to efforts to design new ventilator systems and the production of 3D-printed face shields, but many other devices and systems have been developed or explored. This paper presents a description of efforts to reverse engineer or redesign critical parts, specifically a manifold for an anaesthesia station, a leak port, plasticware for COVID-19 testing, and a syringe pump lock box. The insights obtained from these projects were used to develop a product lifecycle management system based on Aras Innovator, which could with further work be deployed to facilitate future rapid response manufacturing of bespoke hardware for healthcare. The lessons learned could inform plans to exploit distributed manufacturing to secure back-up supply chains for future emergency situations. If applied generally, the concept of distributed manufacturing could give rise to “21st century cottage industries” or “nanofactories,” where high-tech goods are produced locally in small batches.


Author(s):  
Romeo Bandinelli ◽  
Sergio Terzi

New Product Development (NPD) in most manufacturing sectors is stressed by an increasing global competition and pressure to improve product quality and innovation, reduce product cost and time-to-market (TTM), and rapidly respond to changing customer needs and shortened product lifecycles. These requirements are increasingly fulfilled by applying the PLM (Product Lifecycle Management) approach, a widely accepted concept that generally defines the adoption of a large number of ICT (Information and Communication Technology) solutions for managing product data along the product lifecycle. This contribution shows the results of research concerning the application of PLM within the luxury fashion supply chain, conducted in 2009 in Italy, with the analysis of 20 companies of the leather market. The research shows some of the differences that exist between the luxury industry and other more PLM-oriented sectors (e.g. automotive) in terms of adopted ICT tools, criticalities, problems, and benefits expected and realized.


Author(s):  
David H. Treichler ◽  
Ronald Carmichael

Raytheon Six Sigma (R6Sigma) is a six-step quality management approach and culture change effort that has proven to be highly effective. It incorporates lessons learned from the earlier efforts by Motorola, Texas Instruments, Allied Signal, General Electric, and many others. Within each of these major companies, the Six Sigma approach is a reflection of the company’s unique culture and specific industry needs. However, one criticism common to most of these programs is that the change analysis and leadership tools are engaged too late in the overall process. Building upon the lessons learned by other organizations, the paper recounts the early engagement of the Six Sigma tools, coupled with direct customer involvement, on a large-scale program by the Raytheon Company: The Airborne Stand-off Radar (ASTOR) system, which is under development for the UK Ministry of Defense (MOD). Because the ASTOR program is still years from completion, this paper cannot provide detail in terms of final lessons learned or quantified results derived from the front-end application of R6Sigma on this program. The purpose of this paper is to capture the thought processes behind (and initial stages observed during) early customer involvement and the application of R6Sigma process improvement approaches at the beginning of the program.


2015 ◽  
Vol 809-810 ◽  
pp. 1486-1491
Author(s):  
Raluca Diaconu ◽  
Dan Paul Brindasu

The construction domain is an important part of everybody's life consisting of one of the major needs in the Maslow's pyramid: safety. The now-a-days complex, spectacular designed constructions imply new technologies with high efficiency and precise equipment.The paper analyses the optimum solution for the desired product by using the PLM (Product Lifecycle Management) approach, starting by using previous primary and secondary information and pursuing with the solution determination. The conceptual solutions are obtained through creative methods from the specifications-the functions-of the improved product.Hence, having the proper solution that responds to the client's needs we can make the next step in designing the model of the improved formwork equipment.


2019 ◽  
Vol 11 (5) ◽  
pp. 492-505 ◽  
Author(s):  
Ovidiu Ioan Moisescu ◽  
Oana Adriana Gică ◽  
Monica Maria Coroș ◽  
Anca C. Yallop

Purpose This paper aims to examine the negative effects of events on residents’ quality of life. Particularly, the paper analyses the specific negative effects generated via “overtourism” for the duration of large-scale music festivals. Design/methodology/approach The paper uses a case study method approach to examine the negative effects that UNTOLD, the largest music festival in Romania, has on residents’ quality of life. The case is analysed via a comprehensive desk research of secondary data from industry and academic sources. Findings Despite its success and the positive economic impact UNTOLD festival had on the host city, several issues have a negative impact on residents’ quality of life and well-being. The negative impacts are noise pollution, vandalism and crime, traffic and parking issues, waste and damages to the natural environment, pressure on and over usage of local services and infrastructure and the increased cost of living. Social implications Whilst organisers, local businesses and local authorities are the main parties benefiting from events, residents mainly feel the negative impact. Organisers, local authorities and businesses need to minimise the negative effects residents’ experience during the event by building sustainable partnerships and taking a more hands-on approach to sustainable and socially responsible practices. Current and potential initiatives are discussed in the paper. Originality/value This paper examines the negative impacts events may have on residents’ quality of life and discusses the case of a large-scale music festival, an under-researched context. The analysis and discussion may assist scholars and industry experts alike in generating new debates in sustainable event management practices, as well as festival organisers and public authorities in developing strategies for avoiding, containing or minimising the negative effects of events.


2021 ◽  
Vol 11 (8) ◽  
pp. 3386
Author(s):  
Dániel Kozma ◽  
Pál Varga ◽  
Felix Larrinaga

In order to tackle interoperability issues of large-scale automation systems, SOA (Service-Oriented Architecture) principles, where information exchange is manifested by systems providing and consuming services, have already been introduced. However, the deployment, operation, and maintenance of an extensive SoS (System of Systems) mean enormous challenges for system integrators as well as network and service operators. The existing lifecycle management approaches do not cover all aspects of SoS management; therefore, an integrated solution is required. The purpose of this paper is to introduce a new lifecycle approach, namely the SoSLM (System of Systems Lifecycle Management). This paper first provides an in-depth description and comparison of the most relevant process engineering methodologies and ITSM (Information Technology Service Management) frameworks, and how they affect various lifecycle management strategies. The paper’s novelty strives to introduce an Industry 4.0-compatible PLM (Product Lifecycle Management) model and to extend it to cover SoS management-related issues on well-known process engineering methodologies. The presented methodologies are adapted to the PLM model, thus creating the recommended SoSLM model. This is supported by demonstrations of how the IIoT (Industrial Internet of Things) applications and services can be developed and handled. Accordingly, complete implementation and integration are presented based on the proposed SoSLM model, using the Arrowhead framework that is available for IIoT SoS.


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