Digitalization of Professional Regulation Commission (PRC) Process of Accreditation of Nutritionist and Dietetics

With the recent global COVID-19 pandemic and lockdowns, accreditation delays have become inevitable in lieu of the strict travel restrictions. The usual accreditation inspection process conducted face-To-face was affected. Organizations are shifting to a reliance on technology to adapt to the national emergency. The study aims to bridge the gap by digitalization Professional Regulation Commission's (PRC) monitoring and accreditation system to conduct a virtual inspection and monitoring. With all of these said, the specific objectives of the researchers and developers are to develop an efficient digitized system that captures the original one. In developing the proposed accreditation and monitoring system and document management system (website) for PRC, the group will adapt and take inspiration from the Agile Development Lifecycle methodology, which will help the modification and other functionality of the system by using the iterative style in the development of the system. The proposed digital monitoring system undergoes a cross-browser test, and performance test, i.e., Requirements Traceability Matrix (RTM). These tests show that the proposed system passed the compatibility for commonly used browsers like Chrome, Edge, Mozilla, and many more. The Final Test in Performance Testing showed that the system RTM functions had passed all final testing. © 2023 IEEE.

Optimisation of collaborative supply transportation based on traffic road network topology

With the rapid development of China's economy, enterprises need to plan their logistics transportation routes reasonably in advance. This will make the transportation service more efficient. For the supplier's transportation service problem, an analysis method of critical path nodes is provided and a multi-supplier collaborative transportation strategy is designed in this article. First, a model for minimising the transportation cost was established, then a path diagram was simulated and the optimal and alternative transportation paths of suppliers based on the k-shortest path algorithm were calculated. In addition, path node availability during COVID-19 is used as a research context in this article. A multi-stage path analysis method was provided by discussing different cases of critical path nodes, which can make a reasonable selection of paths in a timely and effective manner. Finally, simulations of collaborative transportation for suppliers were performed in three scenarios and the results verified the effectiveness of the collaborative transportation strategy. The proposed collaborative transportation strategy of suppliers not only strengthened the synergistic cooperation among suppliers, but also cultivated the potential customer for suppliers in this article. Furthermore, the strategy could improve the flexibility of the supply chain, maximise the overall efficiency and also provide a new solution for the development of logistics and transportation services.

Evolution of the Human Role in Manufacturing Systems: On the Route from Digitalization and Cybernation to Cognitization

Modern society is living at a time of revolutionary changes in all areas of human life. For example, the field of industrial manufacturing has greatly influenced the role of human beings during the past 30 years. Modern manufacturing systems are in a phase of transition, in accordance with the concept of the fourth industrial revolution (Industry 4.0). A new manufacturing paradigm based on the principles of Industry 4.0 is presented by Smart Manufacturing Systems (SMS). A basic building block of SMS is cyber-physical production systems (CPPS), which together with innovative-management principles of emergence, self-organization, learning, open innovation, collaboration and the networking of people and organizations are the key principles of Industry 4.0. The three key enablers of Industry 4.0, i.e., the connectivity, the digitization and the cybernation of work processes in manufacturing systems, have paved the way for a new industrial revolution, i.e., Industry 5.0 concept that is bringing about a new paradigm in the field of manufacturing systems, the so-called Adaptive Cognitive Manufacturing Systems (ACMS). A fundamental building block of ACMS is the new generation of manufacturing systems called Cognitive Cyber-Physical Production Systems (C-CPPS), which are based on CPPS concepts and incorporate cognitive technologies and artificial intelligence. This paper presents the revolutionary development of manufacturing and manufacturing systems through the industrial revolutions and the evolution of the role of humans in manufacturing systems towards Industry 5.0.

An experience in the use of SCRUM and KANBAN for project development in a Waterfall environment

SIDIA R&D Institute is responsible for developing, validating, and localizing the Android Operating System (Android OS) used in smart devices, such as smartphones and tablets, sold in Latin American countries. Traditionally, SIDIA's Model department is responsible for such development, and it is comprised of smaller teams working on individual Android components. For example, the Application team works on the Android's System Apps layer, such as Photo Gallery and Phone Dialer. Like all Model's teams, the Application employs the Waterfall methodology, a straightforward and widespread software development framework. However, the Application team can receive requests to work on projects unrelated to its primary activities. In these cases, the Waterfall methodology is unsuitable because it follows a linear pipeline [1], making it challenging to work on multiple and simultaneous projects. Hence, the present paper aims to report the experience of the Application team in transitioning from a pure Waterfall environment to a mix of Waterfall and Agile methodologies. Specifically, the team applied the SCRUM and KANBAN methodologies in four independent projects. The challenges caused by this culture change and the COVID-19 pandemic, which forced our workforce to work from home, are reported here. Furthermore, the team used Retrospective and Post-Mortem meetings to gather feedback from members about their experience with these new methodologies. © 2021 ACM.

Mobile Application for Board of Nutrition-Dietetics and Professional Regulation Commission (PRC) Accreditation Process

The onset of the COVID-19 pandemic delayed certain operations and paved the way to strict travel restrictions. This also meant that the traditional face-to-face process for accreditation inspection was affected. With this, to adapt to the situation, many institutions switched to relying on technology. This study aims to address the digitalization of the Professional Regulation Commission of the Philippines' monitoring and accreditation system. Hence, the objective of the study is to develop an effective digital system for the Professional Regulation Commission of the Philippines. The Agile Development Lifecycle will be implemented in constructing the system. Mobile Application Test and Performance Test are tests designed to evaluate the system's capabilities and usefulness. The outcomes met the study's goal, which led to the tests being successful. © 2022 ACM.

Using cloud manufacturing to establish an ecosystem network for COVID-19 ventilator production

Cloud Manufacturing (CMfg) as a service-oriented manufacturing (SOM) paradigm promotes the paradigm of partnership and collaboration among the globally distributed resources. Like technology-based marketplaces, it can identify different suppliers, determine their available services, and assign them to the requested orders based on the service-demand matching mechanism. The dominant capabilities of the SOM as a service can provide a collaborative and flexible manufacturing network configuration. This paper has focused on developing a new CMfg architecture with a concentrating on collaborative concepts to elaborate the modular manufacturing through the virtual process. In this model, different parts of the customized products can be designed as modules produced by distributed suppliers. A (Formula presented.) representation model for the SOM system has been proposed by this architecture. The proposed architecture is enriched by the help of novel technologies presented in Industry 4.0 (I4.0). The model's performance can be evaluated through different approaches, like topology analysis. Furthermore, to simulate a modeling procedure of the architecture, the process of the ventilator production marketplace is discussed in Tehran, Iran. The capabilities of the model analysis to configure the CMfg network and fulfilling the demands have also been described. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

The Virtual Sensei: Using Assisted Reality to Digitalize Gemba Walks

As more and more companies adopt lean management as a system to continuously develop people, leaders are increasingly intent on conducting gemba walks. This means going to the workplace, be it production, engineering, or supply chain - to explore and discover important business challenges - often under the guidance of a sensei. As a result of the COVID-19 pandemic and the associated social distancing measures and travel restrictions, physical meetings in the workplace have been hampered, especially those involving outsiders. This has since led organizations to consider reducing travels and physical gatherings in general. Therefore, in this paper, we present assisted reality technology as a means of digitalizing gemba walks, allowing managers and executives to benefit from working with external sensei - albeit on a remote basis. We explore the use of RealWear HMT-1 technology as an enabler of the virtual sensei concept, comparing it with the more traditional face-to-face approach to gemba walks and offering insights from multiple interventions between external sensei offsite and local management representatives onsite. The assisted reality approach has been tested both within and across international borders. In general, we find that the digitalization of gemba walks using assisted reality offers multiple benefits over more traditional means. However, there are also several limitations. As such, this work has implications for both research and practice, in that we contribute towards the growing literature on digital lean manufacturing as well as offer practical guidelines for managers and executives embarking on a lean transformation. © 2022 IEEE.

Application of the lean method in designing the layout of face mask manufacturing plants for the prevention of covid-19

The prolonged global coronavirus pandemic (Covid-19) has affected all aspects of life, economy, and society, especially small and medium businesses. To meet this challenge, many companies are transforming models and reorganizing production and operations to adapt to this situation. These companies have adopted a variety of philosophies to remove non-value-Added activities from their production processes to maintain efficiency, flexibility, and profitability. In the context of Industry 4.0, solutions are ready to combine automation technology together with the Lean manufacturing approach. Furthermore, when it comes to efficient use of resources (financial, labor, materials, machine, and equipment), Industry 4.0 should be applied to Lean Processes. Thus, this article shows how to apply the Lean method to optimize plant design to cut waste, improve the efficiency of input resources, increase labor productivity by reducing labor costs, waiting (man-To-man;man-machine), reduced movement, and redundancy of operations in the workflow. Especially, the paper uses the SLP (Systematic Layout Planning) method to arrange the areas, material flow, and supply chain in the factory, Lean application to visualize the factory and combines IoT (Internet of Things). Moreover, using automation and Lean Production theory will support much for factory construction in the future, minimizing irrationalities when applied in practice. The result of the paper will mention a case study on the design and simulation of a face mask plant © 2022 IEEE.

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

The recent COVID-19 pandemic reveals the vulnerability of global supply chains: the unforeseen supply crunches and unpredictable variability in customer demands lead to catastrophic disruption to production planning and management, causing wild swings in productivity for most manufacturing systems. Therefore, a smart and resilient manufacturing system (S & RMS) is promised to withstand such unexpected perturbations and adjust promptly to mitigate their impacts on the system's stability. However, modeling the system's resilience to the impacts of disruptive events has not been fully addressed. We investigate a generalized polynomial chaos (gPC) expansion-based discrete-event dynamic system (DEDS) model to capture uncertainties and irregularly disruptive events for manufacturing systems. The analytic approach allows a real-time optimization for production planning to mitigate the impacts of intermittent disruptive events (e.g., supply shortages) and enhance the system's resilience. The case study on a hybrid bearing manufacturing workshop suggests that the proposed approach allows a timely intervention in production planning to significantly reduce the downtime (around one-fifth of the downtime compared to the one without controls) while guaranteeing maximum productivity under the system perturbations and uncertainties.

Evaluation of Online Field Practice Information Systems Refer to Agile Method

The company participates in fulfilling the relevance of education and industry through field practice programs. To avoid the risk of spreading the covid-19 virus and ensure the program continues, the implementation of field practice is changed from face-to-face offline activities to online activities. The purpose of the research is to develop an online field practice information system using the agile scrum method and evaluate the effect of the information system (online mentoring activities (X1) and features contained in the application (X2)) on the level of availability of field practice activities (Y) in the company. The information system development method uses the agile scrum method was chosen because it is able to produce quality software and can adapt to changes continuously. The information system is intended to better organize field practice activities for participants and companies so that all parties can benefit from field practice activities. A survey was carried out by distributing questionnaires to respondents with a respondent profile of 90% of students, 8% of employees who became supervisors for field practices, and 2% of employees who became admins of field practices. This survey is distributed via a google form with 100% of respondents filling out and returning the survey results. The questionnaire distributed contained questions about online mentoring activities (X1) and the features in the application (X2) to measure the level of availability of the implementation of field practice through the information system (Y). Based on the evaluation results, it was found that online mentoring activities (X1) and features in the application (X2) have an influence of 63.4% on the availability of field practice activities (Y) in the company. © 2022 IEEE.

Production Loss Analysis in Mobile Multi-skilled Robot Operated Flexible Serial Production Systems

In a world where demand and supply can change instantaneously as demonstrated by the recent coronavirus pandemic, it is very important for our production lines to be able to handle abrupt changes very effectively. Flexible manufacturing systems (FMS) are designed to be able to ramp production up and down quickly to make this possible. In this paper, we propose a novel data-enabled method of modelling an FMS using mobile multi-skilled robots and evaluate its dynamic performance. We use permanent production loss as the performance metric and derive expressions for its evaluation and attribution and validate them using ctwo case studies. (C) 2022 Society of Manufacturing Engineers (SME). Published by Elsevier Ltd. All rights reserved.

Symbiotic Relationship Between Machine Learning and Industry 4.0: A Review

Industry 4.0 though launched less than a decade ago, has revolutionized the way technologies are being used. It has found its application in almost every field of manufacturing, cybersecurity, health, banking, and other services. Industry 4.0 is heavily dependent on interconnectivity and data. Machine learning (ML) acts as a foundation for building industry 4.0 applications. In this paper, we have provided a broad view of how ML is necessary to accomplish the benefits of industry 4.0. The paper includes ML usage in companies and the limitations of ML, which need to be mitigated. There are also some instances of the failure of ML algorithms and their repercussions. Though industry 4.0 requires a lot more inputs and capital than normal processes, the long-run benefits outweigh the initial costs. ML is gaining popularity, and extensive research is happening to exploit its potential and develop full smart applications.

The Use of SCRUM Methodology for Final Year Undergraduate Project During Corona Pandemic

Scrum methodology is a traditional agile technology that uses sprints and various forms of meetings to problems and issues during software development and allow a student to practice learning a programming language during design and analysis phases, but it has become difficult to coordinate such physical meetings during teaching and learning in the undergraduate project. Software development team during the COVID- 19 pandemic facing difficult to arrange such meetings. In this paper, we will explain the reasons for the superiority of scrum over traditional methods and the extent of the impact of the Corona pandemic on product quality and customer and employee satisfaction. © 2022 IEEE.

AGILE MODEL-BASED SYSTEMS ENGINEERING OF PASSENGER TRAIN OPERATIONAL DESIGN

The Railway industry is facing a productivity issue as is often publicised with regular delays in rolling stock projects [1]. Plus, there is a growing need for innovation in remote services and management that have become the new normal during the COVID-19 pandemic. It drives a need for better Systems Engineering (SE) methods which include increased automation and dependence between systems and system performance, increasing number of disparate specialist engineering teams. [2] The aim of this paper is to develop an adaptable model which expresses the operational behavior of a train system in different railway environments, this model will be quickly and accurately configured to a specific environment to define the needs for a specific passenger service mission. Preventing late changes (cost and time-saving) by generating the right system requirements at the very early design phase through agile Model-Based Systems Engineering (MBSE) approach is the key benefit. Another goal includes increased productivity by minimizing unnecessary manual transcription of concepts when coordinating the work of large teams. This Generic* functional model of a Rolling Stock system can be configured to define specific products for an operator or Original Equipment Manufacturer (OEM). Copyright © 2022 by ASME

Critical analysis of the impact of big data analytics on supply chain operations

Undoubtedly, due to the increasingly competitive pressures and the stride of varying demands, volatility and disturbance have become the standard in today's global markets. The spread of Covid-19 is a prime example of that. Supply chain managers are urged to rethink their competitive strategies to make use of Big Data Analytics (BDA), due to the increasing uncertainty in both demand and supply side, the competition among the supply chain partners and the need to identify ways to offer personalised products and services. With many supply chain executives recognising the need of 'improving with data', supply chain businesses need to equip themselves with sophisticated BDA methods/techniques to create valuable insights from big data, thus, enhancing the decision-making process and optimising the efficiency of Supply Chain Operations (SCO). This paper proposes the building blocks of a theoretical framework for understanding the impact of BDA on SCO. The framework is based on a Systematic Literature Review (SLR) on BDA and SCO, underpinned by Task-Technology-Fit theory and Institutional Theory. The paper contributes to the literature by building a platform for future work on investigating factors driving and inhibiting BDA impact on SCO.

Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic.

During the SARS-CoV-2 pandemic (also known as COVID-19), workforce downsizing needs, safety requirements, supply chain breaks and inventory shortages affected manufacturing systems' and supply chain's responsiveness and resilience. Companies wandered in a disrupted scenario because recommended actions/strategies to survive - and thrive - were not available an improvised actions to keep their operations up and running. This paper analyzes the COVID-19 impacts on the workforce and supply resilience in a holistic manner. The following research questions are discussed: (i) how can manufacturing firms cope with urgent staff deficiencies while sustaining at the same time a healthy and safe workforce in the perspective of socially sustainable and human-centric cyber-physical production systems?; (ii) is remote working (cf. smart working) applicable to shop-floor workers?; (iii) is it possible to overcome supply chain breaks without stopping production? In the first part, we propose three Industry 4.0-driven solutions that would increase the workforce resilience, namely: (i) the Plug-and-Play worker; (ii) the Remote Operator 4.0; (iii) the Predictive Health of the Operational Staff. In the second part, the concepts of (i) Digital & Unconventional Sourcing, i.e. Additive Manufacturing, and (ii) Product/Process Innovation are investigated from a novel business continuity and integration perspective. We ultimately argue that forward-looking manufacturing companies should turn a disruptive event like a pandemic in an opportunity for digital and technological innovation of the workplace inspired by the principles of harmonic digital innovation (that places the human well-being at the center). These aspects are discussed with use cases, system prototypes and results from research projects carried out by the authors and real-world examples arising lessons learned and insights useful for scientists, researchers and managers.

DIGITALIZATION OF LEAN LEARNING SIMULATIONS: TEACHING LEAN PRINCIPLES AND LAST PLANNER® SYSTEM

Lean simulations are an effective way to learn Lean principles and experience the impact on process optimization. However, to date, in construction these have mostly been conducted physically on site or in the office. As digital solutions for collaboration and teaching are increasingly developed in the context of the COVID-19 pandemic, Lean simulations also need to evolve by being decentralized from the project team and driven by digitalization. This paper examines the adaptation and creation of Lean simulations that can be run on a digital platform that supports interactions between multiple participants in real time. Specifically, two simulations were created through a three-phase iterative development. The first simulation focuses on Lean principles and the second on the Last Planner® System. To evaluate the developed digital simulations, feedback was collected from the participants through questionnaires. It can be noted that all rating results were in the upper range. Research objectives were achieved: The evaluation of the technology, the fun and the design indicate that the participants can successfully interact with each other via the chosen digital platform. It also proved that digital simulations offer high flexibility, integration of technology with low costs and effort as well as a high level of sustainability. © Prof. Luis F. Alarcón and Assoc. Prof. Vicente González, IGL2021 All rights reserved.

Preface

The 2021 International Conference on Advanced Materials and Chemical Engineering (AMCE 2021) was held on December 03-05, 2021 as a virtual conference due to the growing concerns over the coronavirus outbreak (COVID-19), and in order to protect the well-being of our attendees, partners, and staff as our number one priority.AMCE 2021 is to bring together innovative academics and industrial experts in the field of Advanced Materials and Chemical Engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in Advanced Materials and Chemical Engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Mechanical Engineering, Intelligent Manufacturing, and related areas.This scientific event brings together more than 120 national and international researchers in advanced materials and chemical engineering. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.List of Committee are available in this pdf.

2021 International Symposium on Artificial Intelligence and Intelligent Manufacturing

Affected by the Covid-19, the 2021 International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM 2021) is scheduled to be held online on November 26-28, 2021. The conference will focus on the themes of Artificial Intelligence, Intelligent Manufacturing, Intelligent Control System and Machine Learning. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence and Intelligent Manufacturing and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence and Intelligent Manufacturing and related areas.Committee, Committee, Conference Agenda, Keynote Speaker, conference paper Virtual Room 1, conference paper Virtual Room 1, conference paper Virtual Room 1, conference paper Virtual Room 1, conference paper Virtual Room 2, conference paper Virtual Room 2, conference paper Virtual Room 2, conference paper Virtual Room 2, conference paper Virtual Room 2 are available in the pdf.List of titles Committee, Conference Agenda, Keynote Speaker, Conference Paper Virtual Room 1, Conference Paper Virtual Room 2 are available in this Pdf.

Introduction to Resilient Manufacturing Systems

Recent COVID pandemic has revealed the vulnerability of modern manufacturing systems to endure disruptive changes. In response to the distress caused by disruptions, there is a pressing need to improve manufacturing resilience by embracing automation, digitization, and Artificial Intelligence (AI). This paper re-conceptualizes manufacturing resilience from the perspectives of system agility, robustness, and survivability to explain how industrial AI can be leveraged to improve manufacturing resilience. In addition, a unified framework to design resilient manufacturing systems is discussed.