A Framework for Transforming Indian Sports Goods Manufacturing Industry

2021 ◽  
pp. 227797792110401
Author(s):  
Shailendra Kumar ◽  
Mohd Suhaib ◽  
Mohammad Asjad
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Government Support ◽  
Clear Understanding ◽  
Road Map ◽  
Current State ◽  
Increase Productivity ◽  
Transformational Framework ◽  
Sports Goods

The Indian manufacturing industry is gradually adopting the sustainable productivity-oriented processes of the fourth industrial revolution (4IR), but the sports goods manufacturing (SGM) sector has lagged far behind. In India, the city of Meerut is one of the hubs of SGM, providing about 25,000 direct jobs and exporting goods worth around ₹4.86 billion (~US$75 million). The thousands of mini, micro and small household manufacturing units of the Meerut sports goods manufacturing (MSGM) cluster widely operate with the centuries-old labour-intensive manufacturing practices. MSGM cluster has a vast untapped potential to increase productivity, quality and sustainability of processes. To remain relevant in this competitive era, a transformation of the sports goods manufacturing industry (SGMI) is the need of the hour. For this, the requirement for an integrated transformational framework capable of transforming the processes of the manufacturing cluster from its current state to intelligent manufacturing is felt. It will help the SGMI sustain and uplift its workforce’s employability, income and living standards. This transformation also invites the other allied industries to operate in the cluster, generating employment and business opportunities. In Decision-Making Trial and Evaluation Laboratory (DEMATEL)-based analysis of the MSGM cluster, cause–effect relations among eleven prevalent transformational challenges are deduced. From both prominence ranking and cause–effect relations for the eleven prevalent transformational challenges, ‘management’s willingness’, ‘government support system’, and ‘awareness and clear understanding of benefits (ROI)’ are observed among the prominent factors to be overcome. A transformational framework for SGMI from its present state to the I4.0 state is proposed. The study and proposed scalable framework with causal relationships will serve as a road map and tool for the smooth and effective transformation of the SGMI cluster.

scholarly journals Determinants of Financial Performance in China’s Intelligent Manufacturing Industry: Innovation and Liquidity

2021 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Guanghong Zhang ◽  
Yune Lee
Keyword(s):  
Financial Performance ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Intelligent Manufacturing ◽  
Manufacturing Industries ◽  
Government Support ◽  
Equation Modeling ◽  
Chinese Government ◽  
Regional Innovation ◽  
Endogenous Factors

This study focuses on the mediation channels through which the financial performance of intelligent manufacturing industries closely related to the Fourth Industrial Revolution has been affected. Along with compiling a massive volume of datasets publicized by the Chinese government and other authoritative institutions, a survey of the 317 listed enterprises of the intelligent manufacturing industries in China has been established for statistical analysis. Using Structural Equation Modeling (SEM), this research tests six hypotheses and confirms the inter-factor impact relationship between exogenous and endogenous factors. We find that innovation efforts mainly led by increasing investment in Research & Development (R&D), along with high liquidity, surely lead to good financial performance, whereas innovation efforts alone do not. Government support policy has been found to be closely related not only to higher liquidity, but to good financial performance through the common channel of R&D investment. Regional innovation capability has been revealed to be related to R&D investments, and, furthermore, to liquidity, which shows that the regional innovation system in China has been functioning relatively well to induce enterprises to increase investments and secure higher liquidity, and finally contribute to achieving better business performance. However, regional economic development shows no relationship with R&D investments, and consequently neither with liquidity nor with performance.

scholarly journals Design of Customized Intelligent Manufacturing Information Interaction System Based on Virtual Technology

2021 ◽  
Vol 2074 (1) ◽  
pp. 012043
Author(s):  
Xi Wang
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Virtual Technology ◽  
Technology System ◽  
Information Interaction ◽  
Information And Communication ◽  
Industrial Productivity ◽  
System Intelligence ◽  
Production Resources

Abstract With the continuous development of information technology, system intelligence is leading the next round of “industrial revolution”, especially the intelligent manufacturing industry has become the core of improving industrial productivity. Intelligent manufacturing involves each link in the manufacturing industry, which is the most critical part of intelligent manufacturing is intelligent production, through intelligent manufacturing related technology to optimize the production mode of manufacturing to promote the production state more flexible and integrated. Intelligent manufacturing is based on computer simulation technology and information and communication technology, optimize the production design of the factory and simplify the production process of the factory, the purpose is to reduce the waste of resources and improve the reasonable allocation of production resources.

scholarly journals The diffusion mechanism of the application of intelligent manufacturing in SMEs model based on cellular automata

Open Physics ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 170-178
Author(s):  
Lei Wang ◽  
Sijia Yang ◽  
Wenqi Fan ◽  
Fangqing Tang
Keyword(s):  
Cellular Automata ◽  
Information Exchange ◽  
Market Competition ◽  
Diffusion Mechanism ◽  
Real Data ◽  
Intelligent Manufacturing ◽  
Industrial Clusters ◽  
Manufacturing Technology ◽  
Government Support ◽  
Support Policy

Abstract Based on the characteristics of intelligent manufacturing and the theory of technology diffusion, this paper constructs a cellular automata model with government support policy, information exchange, technology maturity, diffusion intermediary, and market competition as the influencing factors and analyzes the influence mechanism of the first three main factors on the diffusion of intelligent manufacturing technology in industrial clusters using MATLAB. This paper also makes an empirical analysis of the diffusion of intelligent manufacturing technology in the bearing industry cluster in Xinchang County and finds that the results are basically consistent by comparing the simulation data with the fit degree of the real data. In this paper, the diffusion intermediary and government support policy have the greatest influence on the application of intelligent manufacturing in small- and medium-sized enterprises, and the model proposed in this paper is effective.

scholarly journals A Bayesian Control Chart for Monitoring Process Variance

2021 ◽  
Vol 11 (6) ◽  
pp. 2729
Author(s):  
Chien-Hua Lin ◽  
Ming-Che Lu ◽  
Su-Fen Yang ◽  
Ming-Yung Lee
Keyword(s):  
Service Quality ◽  
Control Chart ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Service Industry ◽  
Service Process ◽  
Time Varying ◽  
Exponential Process ◽  
Free Process ◽  
Process Variance

Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process. The quality control methods widely used in the manufacturing industry can provide service quality measurement and service process monitoring. In particular, the control chart as an online monitoring technique can be used to quickly detect whether a service process is out of control. However, the control of the service process is more difficult than that of the manufacturing process because the variability of the service process comes from widespread and complex factors. First of all, the distribution of the service process is usually non-normal or unknown. Moreover, the skewness of the process distribution can be time-varying, even if the process is in control. In this study, a Bayesian procedure is applied to construct a Phase II exponential weighted moving average (EWMA) control chart for monitoring the variance of a distribution-free process. We explore the sampling properties of the new monitoring statistic, which is suitable for monitoring the time-varying process distribution. The average run lengths (ARLs) of the proposed Bayesian EWMA variance chart are calculated, and they show that the chart performs well. The simulation studies for a normal process, exponential process, and the mixed process of normal and exponential distribution prove that our chart can quickly detect any shift of a process variance. Finally, a numerical example of bank service time is used to illustrate the application of the proposed Bayesian EWMA variance chart and confirm the performance of the process control.

scholarly journals Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 628
Author(s):  
Michail J. Beliatis ◽  
Kasper Jensen ◽  
Lars Ellegaard ◽  
Annabeth Aagaard ◽  
Mirko Presser
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Careful Consideration ◽  
Added Value ◽  
Shop Floor ◽  
Circuit Boards ◽  
Next Generation ◽  
Road Map ◽  
Industrial Iot ◽  
Production Cycles

This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing service company (EMS) that manufactures electronic circuit boards, in addition to big metal products at their mechanics manufacturing sites. The company aims to embrace the next generation IoT technologies such as digital traceability in their internal supply chain at manufacturing sites in order to stay compatible with the Industry 4.0 requirements. In this paper, the capabilities of suitable digital traceability technologies are screened together with the actual GPV needs to determine if deployment of such technologies would benefit GPV shop floor operations and can solve the issues they face due to a lack of traceability. The traceability term refers to tracking the geolocation of products throughout the manufacturing steps and how that functionality can foster further optimization of the manufacturing processes. The paper focuses on comparing different IoT technologies and analyze their positive and negative attributes to identify a suitable technological solution for product traceability in the metal manufacturing industry. Finally, the paper proposes a suitable implementation road map for GPV, which can also be adopted from other metal manufacturing industries to deploy Industry 4.0 traceability at shop floor level.

Industrial internet of things for smart manufacturing applications using hierarchical trustful resource assignment

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Duan Pingli ◽  
Bala Anand Muthu ◽  
Seifedine Nimer Kadry
Keyword(s):  
Internet Of Things ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
The Internet ◽  
Resource Assignment ◽  
Industrial Internet Of Things ◽  
Assignment Method ◽  
Industrial Internet

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the industrial internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.

Are We Loving Our National Parks to Death? A Call for Research on Crime and Law Enforcement in the U.S. National Park System

2021 ◽  
pp. 073401682110157
Author(s):  
William Andrew Stadler ◽  
Cheryl Lero Jonson ◽  
Brooke Miller Gialopsos
Keyword(s):  
Law Enforcement ◽  
National Parks ◽  
National Park ◽  
Future Research ◽  
Road Map ◽  
Current State ◽  
Park Service ◽  
Service Data ◽  
National Park System ◽  
The U.S

Despite a recent surge of visitation and frequent media accounts of lawlessness in America’s national parks, little empirical research has been dedicated to crime and law enforcement in the U.S. national park system. The absence of systematic crime and justice research within these protected spaces should raise concern, as recent park service data and intra-agency reports suggest visitor growth, funding and personnel declines, operational shortcomings, and technology constraints may endanger the capacity of the National Park Service (NPS) to adequately address anticipated crime threats in the 21st century. This call for research aims to raise awareness of the contemporary law enforcement challenges facing this federal agency and encourage the study of crime and justice issues within the U.S. national park system. We briefly examine the evolution and current state of NPS law enforcement and its associated challenges and conclude with a conceptual road map for future research occurring in these protected spaces.

INTELLIGENT OPTIMIZATION SYSTEM FORMULATED ON INDUSTRIAL INTERNET PLATFORM

2021 ◽  
Vol 71 (10) ◽  
pp. 75-79
Author(s):  
Sabuhi Farasat Rahimli ◽  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Data Gathering ◽  
Intelligent Optimization ◽  
Industrial Economy ◽  
Optimization System ◽  
Industrial Enterprises ◽  
Huge Data ◽  
Industrial Internet ◽  
Internet Platform

The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism

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