scholarly journals Real-World Failure Prevention Framework for Manufacturing Facilities Using Text Data

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 676
Author(s):  
Jonghyuk Park ◽  
Eunyoung Choi ◽  
Yerim Choi
Keyword(s):  
Real World ◽  
Failure Pattern ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Text Data ◽  
Failure Prevention ◽  
Actual Application ◽  
The Status ◽  
Sensor Signals ◽  
Smart Factories

In recent years, manufacturing companies have been continuously engaging in research for the full implementation of smart factories, with many studies on methods to prevent facility failures that directly affect the productivity of the manufacturing sites. However, most studies have only analyzed sensor signals rather than text manually typed by operators. In addition, existing studies have not proposed an actual application system considering the manufacturing site environment but only presented a model that predicts the status or failure of the facility. Therefore, in this paper, we propose a real-world failure prevention framework that alerts the operator by providing a list of possible failure categories based on a failure pattern database before the operator starts work. The failure pattern database is constructed by analyzing and categorizing manually entered text to provide more detailed information. The performance of the proposed framework was evaluated utilizing actual manufacturing data based on scenarios that can occur in a real-world manufacturing site. The performance evaluation experiments demonstrated that the proposed framework could prevent facility failures and enhance the productivity and efficiency of the shop floor.

scholarly journals TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Technical Aspects ◽  
Industrial Landscape ◽  
The Future ◽  
New Research ◽  
Empirical Material

AbstractThe availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 10
Author(s):  
Qing Hong ◽  
Yifeng Sun ◽  
Tingyu Liu ◽  
Liang Fu ◽  
Yunfeng Xie
Keyword(s):  
Real Time ◽  
Sequence Data ◽  
Network Models ◽  
Human Action ◽  
Practical Significance ◽  
Shop Floor ◽  
Action Detection ◽  
Digital Twin ◽  
Actual Application ◽  
Production Processes

Background: Intelligent monitoring of human action in production is an important step to help standardize production processes and construct a digital twin shop-floor rapidly. Human action has a significant impact on the production safety and efficiency of a shop-floor, however, because of the high individual initiative of humans, it is difficult to realize real-time action detection in a digital twin shop-floor. Methods: We proposed a real-time detection approach for shop-floor production action. This approach used the sequence data of continuous human skeleton joints sequences as the input. We then reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN). We called this approach the Temporal Action Detection Net (TAD-Net), which realized real-time shop-floor production action detection. Results: The results of the verification experiment showed that our approach has achieved a high temporal positioning score, recognition speed, and accuracy when applied to the existing Online Action Detection (OAD) dataset and the Nanjing University of Science and Technology 3 Dimensions (NJUST3D) dataset. TAD-Net can meet the actual needs of the digital twin shop-floor. Conclusions: Our method has higher recognition accuracy, temporal positioning accuracy, and faster running speed than other mainstream network models, it can better meet actual application requirements, and has important research value and practical significance for standardizing shop-floor production processes, reducing production security risks, and contributing to the understanding of real-time production action.

scholarly journals Lean Companies Employed Assembly Workers Train with New Approches

2021 ◽  
Vol 12 (5) ◽  
pp. 574-579
Author(s):  
Somesh Dhamija
Keyword(s):  
Lean Manufacturing ◽  
Implementation Process ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Complex Activity ◽  
The Core ◽  
Production Processes ◽  
Effective Training ◽  
Manufacturing Activity ◽  
Definition Of

LM has proven itself the production system that enhances shop floor efficiency. Furthermore, the current environment for production firms is accelerating the pace at which LM is implemented. The manufacture of lean is not easy to introduce. It is constant and complex activity. Assembly workers in production processes are the core of lean manufacturing activity. Training is known as vehicle to aid the implementation process. While the importance of training is known so far, there are only a few options for organizing effective training. The results of the survey of questions conducted inside UK manufacturing companies are examined. This article illustrates the definition of lean production and worker requirements in lean environment.

Case Studies of Quality-Related Costing in Engineering Manufacture

1988 ◽  
Vol 202 (2) ◽  
pp. 99-105 ◽  
Author(s):  
J J Plunkett ◽  
B G Dale
Keyword(s):  
Case Studies ◽  
Manufacturing Companies ◽  
Research Project ◽  
The Status ◽  
The Subject

As part of a research project on the determination and use of quality-related costs, case study work has been carried out at four manufacturing companies. This paper presents the major findings from each case study. A measure of the status of quality costing is that it is not featured in the quality manuals at any of the four companies. The aspects of quality which will need to be developed if the subject is to be raised to the level enjoyed by other major business parameters are outlined.

scholarly journals Establishment of variation source and age-related reference interval models for 22 common biochemical analytes in older people using real-world big data mining

2020 ◽  
Vol 49 (6) ◽  
pp. 1062-1070
Author(s):  
Chaochao Ma ◽  
Liangyu Xia ◽  
Xinqi Chen ◽  
Jie Wu ◽  
Yicong Yin ◽  
...  
Keyword(s):  
Big Data ◽  
Older People ◽  
Real World ◽  
Reference Interval ◽  
Reference Intervals ◽  
Ageing Population ◽  
Factors Affecting ◽  
Age Related ◽  
The Status ◽  
Source Models

Abstract Background the ageing population has increased in many countries, including China. However, reference intervals (RIs) for older people are rarely established because of difficulties in selecting reference individuals. Here, we aimed to analyse the factors affecting biochemical analytes and establish RI and age-related RI models for biochemical analytes through mining real-world big data. Methods data for 97,220 individuals downloaded from electronic health records were included. Three derived databases were established. The first database included 97,220 individuals and was used to build age-related RI models after identifying outliers by the Tukey method. The second database consisted of older people and was used to establish variation source models and RIs for biochemical analytes. Differences between older and younger people were compared using the third database. Results sex was the main source of variation of biochemical analytes for older people in the variation source models. The distributions of creatinine and uric acid were significantly different in the RIs of biochemical analytes for older people established according to sex. Age-related RI models for biochemical analytes that were most affected by age were built and visualized, revealing various patterns of changes from the younger to older people. Conclusion the study analysed the factors affecting biochemical analytes in older people. Moreover, RI and age-related RI models of biochemical analytes for older people were established to provide important insight into biological processes and to assist clinical use of various biochemical analytes to monitor the status of various diseases for older people.

scholarly journals Analyzing the Status of Sustainable Development in the Manufacturing Sector Using Multi-Expert Multi-Criteria Fuzzy Decision-Making and Integrated Triple Bottom Lines

2020 ◽  
Vol 17 (11) ◽  
pp. 3800 ◽  
Author(s):  
Sepehr Hendiani ◽  
Huchang Liao ◽  
Morteza Bagherpour ◽  
Manuela Tvaronavičienė ◽  
Audrius Banaitis ◽  
...  
Keyword(s):  
Performance Management ◽  
Social Relations ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Economic Benefits ◽  
Fuzzy Decision Making ◽  
Technological Advancement ◽  
Manufacturing Companies ◽  
The Status ◽  
New Framework

A sustainable manufacturing company depends on the developments in three aspects in order to minimize harmful impacts on the environment, improve the social relations, and simultaneously maximize the economic benefits. Despite the increasing types of investigations that researchers have carried out in environmental and economic aspects, the minimum attention has been paid to social relations. In response to this deficiency, this paper proposes a new framework to obtain the overall sustainability index in manufacturing companies by encapsulating the sustainability criteria/sub-criteria. This article collected 33 sub-criteria for five pillars of sustainability as social, environment, economic, technological advancement, and performance management. The key contributions of this paper are highlighted as the hierarchical method that obtains the status of sustainability in uncertain conditions, the ability to identify the weak points, and a new framework for gathering the data about sustainability performance in manufacturing companies. The findings of this paper will aid both policymakers and decision-makers to assess the sustainability status of manufacturing systems and improve the performances of them.

CoBIs

2011 ◽  
pp. 551-558
Author(s):  
Patrik Spieß ◽  
Jens Müller
Keyword(s):  
Ubiquitous Computing ◽  
Real World ◽  
Business Processes ◽  
Lessons Learned ◽  
Use Cases ◽  
Hazardous Substances ◽  
Shop Floor ◽  
Computing Technology ◽  
Corporate Environment ◽  
Retail Environment

This chapter describes example use cases for ubiquitous computing technology in a corporate environment that have been evaluated as prototypes under realistic conditions. The main example reduces risk in the handling of hazardous substances by detecting potentially dangerous storage situations and raising alarms if certain rules are violated. We specify the requirements, implementation decisions, and lessons learned from evaluation. It is shown that ubiquitous computing in a shop floor, warehouse, or retail environment can drastically improve real-world business processes, making them safer and more efficient.

scholarly journals Comparison of Four Environmental Assessment Tools in Swedish Manufacturing: A Case Study

2019 ◽  
Vol 11 (7) ◽  
pp. 2173 ◽  
Author(s):  
Sasha Shahbazi ◽  
Martin Kurdve ◽  
Mats Zackrisson ◽  
Christina Jönsson ◽  
Anna Runa Kristinsdottir
Keyword(s):  
Performance Management ◽  
Environmental Assessment ◽  
Assessment Tools ◽  
Shop Floor ◽  
Value Stream Mapping ◽  
Manufacturing Companies ◽  
Waste Flow ◽  
And Performance ◽  
The Right ◽  
Tools And Methods

To achieve sustainable development goals, it is essential to include the industrial system. There are sufficient numbers of tools and methods for measuring, assessing and improving the quality, productivity and efficiency of production, but the number of tools and methods for environmental initiatives on the shop floor is rather low. Incorporating environmental considerations into production and performance management systems still generally involves a top-down approach aggregated for an entire manufacturing plant. Green lean studies have been attempting to fill this gap to some extent, but the lack of detailed methodologies and practical tools for environmental manufacturing improvement on the shop floor is still evident. This paper reports on the application of four environmental assessment tools commonly used among Swedish manufacturing companies—Green Performance Map (GPM), Environmental Value Stream Mapping (EVSM), Waste Flow Mapping (WFM), and Life Cycle Assessment (LCA)—to help practitioners and scholars to understand the different features of each tool, so in turn the right tool(s) can be selected according to particular questions and the industrial settings. Because there are some overlap and differences between the tools and a given tool may be more appropriate to a situation depending on the question posed, a combination of tools is suggested to embrace different types of data collection and analysis to include different environmental impacts for better prioritization and decision-making.

scholarly journals Comparing Approaches for Evaluating Digital Interventions on the Shop Floor

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 116 ◽  
Author(s):  
Francisco Lacueva-Pérez ◽  
Lea Hannola ◽  
Jan Nierhoff ◽  
Stelios Damalas ◽  
Soumyajit Chatterjee ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Use Case ◽  
Individual Level ◽  
Ict System ◽  
The One ◽  
Comparison Of The Results ◽  
Future Work ◽  
Self Learning ◽  
Smart Factories

The introduction of innovative digital tools for supporting manufacturing processes has far-reaching effects at an organizational and individual level due to the development of Industry 4.0. The FACTS4WORKERS project funded by H2020, i.e., Worker-Centric Workplaces in Smart Factories, aims to develop user-centered assistance systems in order to demonstrate their impact and applicability at the shop floor. To achieve this, understanding how to develop such tools is as important as assessing if advantages can be derived from the ICT system created. This study introduces the technology of a workplace solution linked to the industrial challenge of self-learning manufacturing workplaces. Subsequently, a two-step approach to evaluate the presented system is discussed, consisting of the one used in FACTS4WORKERS and the one used in the “Heuristics for Industry 4.0” project. Both approaches and the use case are introduced as a base for presenting the comparison of the results collected in this paper. The comparison of the results for the presented use case is extended with the results for the rest of the FACTS4WORKERS use cases and with future work in the framework.

Part VI International Assistance, Reparations, and Redress, Ch.19 Reparations, Restitution, and Redress: Articles 8(2), 11(2), 20(2), and 28

2018 ◽  
Author(s):  
Lenzerini Federico
Keyword(s):  
Human Rights ◽  
United Nations ◽  
Indigenous Peoples ◽  
Real World ◽  
International Assistance ◽  
Actual Application ◽  
Cultural Specificity ◽  
United Nations Declaration ◽  
Proper Account ◽  
Individual Human

This chapter examines rights to reparations, restitution, and redress in Articles 8(2), 11(2), 20(2), and 28. The need of taking into proper account the cultural specificity of indigenous peoples, in establishing the forms of reparation to be used with the purpose of redressing violations of their reorganized collective and/or individual human rights, seems to be adequately considered by the relevant provisions included in the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP). In fact, those provisions are inspired by a clear culturally driven rationale, providing a good basis for the setting up of reparatory measures which are adequate to actually restore the wrongs suffered by indigenous peoples in light of their specific expectations and needs. However, the said provisions are only written on paper, and their actual translation into concrete effective measures of reparation ultimately depends on the sensibility of the legal operators who are entrusted with their actual application and implementation in the real world.

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