scholarly journals Towards Digital Twin Implementation for Assessing Production Line Performance and Balancing

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 97 ◽  
Author(s):  
Marcello Fera ◽  
Alessandro Greco ◽  
Mario Caterino ◽  
Salvatore Gerbino ◽  
Francesco Caputo ◽  
...  
Keyword(s):  
Production Line ◽  
Wearable Sensors ◽  
Numerical Data ◽  
Manufacturing Companies ◽  
Production Chain ◽  
Simulation Tools ◽  
Manual Task ◽  
Industrial Internet ◽  
Iot Devices ◽  
And Performance

The optimization of production processes has always been one of the cornerstones for manufacturing companies, aimed to increase their productivity, minimizing the related costs. In the Industry 4.0 era, some innovative technologies, perceived as far away until a few years ago, have become reachable by everyone. The massive introduction of these technologies directly in the factories allows interconnecting the resources (machines and humans) and the entire production chain to be kept under control, thanks to the collection and the analyses of real production data, supporting the decision making process. This article aims to propose a methodological framework that, thanks to the use of Industrial Internet of Things—IoT devices, in particular the wearable sensors, and simulation tools, supports the analyses of production line performance parameters, by considering both experimental and numerical data, allowing a continuous monitoring of the line balancing and performance at varying of the production demand. A case study, regarding a manual task of a real manufacturing production line, is presented to demonstrate the applicability and the effectiveness of the proposed procedure.

scholarly journals Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5162
Author(s):  
Joana Costa ◽  
Catarina Silva ◽  
Miguel Santos ◽  
Telmo Fernandes ◽  
Sérgio Faria
Keyword(s):  
Heart Rate ◽  
High Performance ◽  
Wearable Sensors ◽  
Feature Representation ◽  
Time Data ◽  
Immediate Feedback ◽  
Iot Devices ◽  
And Performance ◽  
Rate Sensor ◽  
Sports Coaching

Intelligent approaches in sports using IoT devices to gather data, attempting to optimize athlete’s training and performance, are cutting edge research. Synergies between recent wearable hardware and wireless communication strategies, together with the advances in intelligent algorithms, which are able to perform online pattern recognition and classification with seamless results, are at the front line of high-performance sports coaching. In this work, an intelligent data analytics system for swimmer performance is proposed. The system includes (i) pre-processing of raw signals; (ii) feature representation of wearable sensors and biosensors; (iii) online recognition of the swimming style and turns; and (iv) post-analysis of the performance for coaching decision support, including stroke counting and average speed. The system is supported by wearable inertial (AHRS) and biosensors (heart rate and pulse oximetry) placed on a swimmer’s body. Radio-frequency links are employed to communicate with the heart rate sensor and the station in the vicinity of the swimming pool, where analytics is carried out. Experiments were carried out in a real training setup, including 10 athletes aged 15 to 17 years. This scenario resulted in a set of circa 8000 samples. The experimental results show that the proposed system for intelligent swimming analytics with wearable sensors effectively yields immediate feedback to coaches and swimmers based on real-time data analysis. The best result was achieved with a Random Forest classifier with a macro-averaged F1 of 95.02%. The benefit of the proposed framework was demonstrated by effectively supporting coaches while monitoring the training of several swimmers.

Order Fulfilment Progress Estimation for Collaborative Manufacturing Enabled by Industrial Internet of Things

2020 ◽  
Author(s):  
Chen Peng ◽  
Zheng Zhang ◽  
Tao Peng ◽  
Renzhong Tang ◽  
Xiaoliang Zhao
Keyword(s):  
Internet Of Things ◽  
Order Fulfillment ◽  
Manufacturing Companies ◽  
Industrial Internet Of Things ◽  
Production Chain ◽  
Collaborative Manufacturing ◽  
Make To Order ◽  
Industrial Internet ◽  
Order Fulfilment

Abstract It has been recognized by manufacturing companies that working collaboratively is the way to advance their competiveness. Order fulfillment estimation addresses the issue of uncertainty from vendors. It is significant for collaborative manufacturing, which enhances companies’ responsiveness to market dynamics. In a data-rich scenario, order fulfillment estimation can be performed based on information extracted from data acquisition devices, such as smart sensors. The analysis result should serve the decisions-making of the production planning, and an indicator should be passed along the production chain even to its end customer for collaborative purpose. In the meanwhile, the manufacturer’s sensitive or confidential information is excluded to avoid risks. This article studies a method to effectively evaluate the order fulfillment process in an Industrial Internet of Things (IIoT) facilitated make-to-order production system. An order fulfilment progress (OFP) indicator is proposed to dynamically represent the fulfillment progress, and its estimation mathematical models are proposed. To improve the practicability of the OFP indicator in production, the influence of abnormal event scenarios are discussed to modify the OFP. A case study presented in this research demonstrates the proposed indicator with consideration of job in process (JIP) is promising comparing to conventional indicators that are represented by the proportion of finished over total products.

Pengaruh Corporate Social Responsibility Terhadap Nilai Dan Kinerja Perusahaan Manufaktur

2011 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Agustin Ekadjaja ◽  
Vony Vony
Keyword(s):  
Corporate Social Responsibility ◽  
Linear Regression ◽  
Confidence Level ◽  
Stock Exchange ◽  
Tobin’S Q ◽  
Manufacturing Companies ◽  
Simple Linear Regression ◽  
Tobin's Q ◽  
And Performance ◽  
Corporate Social

This study aims to determine the effect of CSR Index to the value and performance of manufacturing companies listed on the Indonesia Stock Exchange (BEI), and to find out how much the ability of the variable CSR Index in explaining the variable Tobin’s Q, ROA, and ROE manufacturing companies listed on Indonesia Stock Exchange (BEI). This study uses data sampled during the 75 years from 2007 to 2009. A statistical method used to test the research hypothesis is a simple linear regression model. Therefore, before performing hypothesis testing carried out tests of classical assumptions. The results of this study prove that, CSR Index has a significant effect on Tobin’s Q and ROE with 95% confidence level. However, CSR Index has no significant influence on ROA with 95% confidence level. Key words : CSR Index, Variabel Tobin’s Q, ROA, ROE

scholarly journals The Role of Digital Maturity Assessment in Technology Interventions with Industrial Internet Playground

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1134
Author(s):  
Annabeth Aagaard ◽  
Mirko Presser ◽  
Tom Collins ◽  
Michail Beliatis ◽  
Anita Krogsøe Skou ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Digital Transformation ◽  
Assessment Tools ◽  
Manufacturing Companies ◽  
Digital Interventions ◽  
Maturity Assessment ◽  
Industrial Internet ◽  
Digital Development ◽  
Key Dimensions ◽  
The Impact

The use of digital technologies such as Internet of Things and advanced data analytics are central in digitally transforming manufacturing companies towards Industry 4.0. Success cases are frequently reported, and there is clear evidence of technology interventions conducted by industry. However, measuring the impact and effect of such interventions on digital maturity and on the organizational adoption can be challenging. Therefore, the research aim of this paper is to explore how the combination of the different methods of Industrial Internet Playground (IIP) pilots, Shadow Infrastructure (SI) and digital maturity assessment can assist in conducting and documenting the technical, as well as organisational, impact of digital interventions. Through an elaborate literature review of existing digital maturity assessment tools and key dimensions in digital transformation, we have developed a digital maturity assessment tool (DMAT), which is presented and applied in the paper to identify digital development areas and to evaluate and document the effects of digital interventions. Thus, the paper contributes with new knowledge of how the IIP pilot and SI combined with digital maturity assessment can support effective, transparent and documented digital transformation throughout an organisation, as explored through theory and a practice case.

scholarly journals A comprehensive KPI network for the performance measurement and management in global production networks

2021 ◽  
Author(s):  
B. Verhaelen ◽  
F. Mayer ◽  
S. Peukert ◽  
G. Lanza
Keyword(s):  
Performance Measurement ◽  
Corporate Strategy ◽  
Performance Indicator ◽  
Production Network ◽  
Manufacturing Companies ◽  
Production Networks ◽  
Global Production Networks ◽  
Performance Review ◽  
And Performance ◽  
Corporate Level

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.

scholarly journals Green CSR Moderated by Public Visibility and Innovation Performance at Indonesia Companies

2020 ◽  
Vol 24 (1) ◽  
pp. 1
Author(s):  
Rahmat Hidayat, Farah Margaretha Leon
Keyword(s):  
Positive Relationship ◽  
Negative Relationship ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Innovation Activities ◽  
And Performance ◽  
Relationship Of ◽  
The Relationship

This study aims to analyze the green CSR  of innovation performance  with firms approval variables  and public visibility   can support moderating the relationship of green CSR  and innovation. The research sample was 33 manufacturing companies. The results showed that the  green CSR has a positive and significant effect on innovation . Also, the company approval variable has been proven to moderate the direction of a positive relationship between green CSR and innovation . The results also prove that public visibility is proven to moderate the direction of the negative relationship between green CSR and performance. This study provide information that shows great concern for the environment; it will increase the company in making changes through innovation activities. Also, the higher the company's approval and public visibility, the company will get support from various stakeholders to run the firms. The level of company concern for CSR activities will be a misjudgment for investors.

Data-Enabled Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems With Quality Rework

2020 ◽  
Author(s):  
Cheng Zhu ◽  
Tian Yu ◽  
Qing Chang ◽  
Jorge Arinez
Keyword(s):  
Mathematical Model ◽  
Production Line ◽  
System Performance ◽  
Manufacturing Systems ◽  
Serial Production ◽  
Stochastic Production ◽  
And Performance ◽  
Event Based ◽  
The Mathematical Model ◽  
Permanent Production

Abstract In a multistage serial production line, products with defect can be repaired or reworked to ensure high product quality. This paper studies a multistage serial manufacturing system with quality rework loops. Rework is the activity to repair or repeat the work on the defect parts during manufacturing processes, and it adds to cost and cycle time. This paper introduces an event-based data-enabled mathematical model for a stochastic production line with quality rework loops. The system performance properties are analyzed and permanent production loss due to quality rework loops is identified. The mathematical model and system performance identification methodology are studied analytically through numerical case studies.

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