scholarly journals Adoption of AI-empowered industrial robots in auto component manufacturing companies

2021 ◽  
pp. 1-17
Author(s):  
Rajasshrie Pillai ◽  
Brijesh Sivathanu ◽  
Marcello Mariani ◽  
Nripendra P. Rana ◽  
Bai Yang ◽  
...  
Keyword(s):  
Industrial Robots ◽  
Manufacturing Companies ◽  
Component Manufacturing ◽  
Auto Component

scholarly journals Internationalization and Innovation Capabilities Determine Export Performance of Indian Auto Component Manufacturing Industry

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Manjunatha N.
Keyword(s):  
Significant Relationship ◽  
Manufacturing Industry ◽  
Export Performance ◽  
Statistical Testing ◽  
Policy Implications ◽  
Export Market ◽  
Manufacturing Companies ◽  
Market Information ◽  
Component Manufacturing ◽  
Auto Component

Purpose - This study is designed to explore whether international and innovation capabilities of auto components manufacturers has significant relationship with export performance or not. Design/methodology/approach- This study has used structured questionnaire and interview techniques with export managers of exporting firms to achieve its research objectives. It has employed descriptive research methods to assess its research framework. Linear regression analysis was uses to test the hypothesis formulated in the study. Findings- The findings revealed that, gathering export market information, capable of using export market information, role of export mode, relationships & networks, flexible to modify firm resource base, develop new service, technological up-gradation, in-house product designs, improvement in the existing products and re-align manufacturing system have found significant relationship with export performances of auto component manufacturing companies in India. Research limitations/implications - The results point out that researchers need to target more number of samples for the statistical testing to generalize findings.The study is confined to understand the export behavior of auto component manufacturing firms. Practical implications-This work has export policy implications for auto component manufacturing industry in India. Strategies are suggested for export oriented companies for contributing to export knowledge and implementing export marketing strategies in manufacturing industry. Social implications -Exporting of high-end and premium quality auto components enhances the performance of the vehicles leading to increased customer's social status, standard of living and vehicle safety in the foreign markets. Originality/value - Previous research on internationalisation and innovation capabilities and export performance have not been explored in detail. The present study adds the value with reference to export performance of auto component manufacturers with statistical evidences.

Virtual Designing of Robotic Workstations

2016 ◽  
Vol 844 ◽  
pp. 31-37
Author(s):  
Łukasz Sobaszek ◽  
Arkadiusz Gola ◽  
Jozef Varga
Keyword(s):  
Production Process ◽  
Virtual Environment ◽  
Industrial Robots ◽  
Basic Information ◽  
Manufacturing Companies ◽  
Work Analysis ◽  
Constant Increase ◽  
The Future ◽  
Set Up

The number of companies that decide to employ industrial robots to facilitate their production process is on the constant increase. Implementation of such solutions requires deep analysis of manifold aspects of such an endeavour. Apart from the economical face of the problem, there appear issues connected with integration of robots with the existing manufacturing infrastructure. Hence software enabling simulation and analysis of a robot work in the future environment is in demand. The following article is devoted to the problem of virtual designing of robotic workstations. The work presents basic information regarding application of robots in manufacturing companies and introduces typical software for simulation and programming of industrial robots. What is more, the process of designing a virtual environment and conducting analysis of robot work analysis is presented based on the laboratory set-up with Kawasaki RS003N robot. Finally, other examples of virtually designed robotic workstations are introduced.

scholarly journals Efficiency Comparison between Robotic Manipulator Configurations for Trajectory/Path Tracing

2020 ◽  
Vol 10 (11) ◽  
pp. 56-60
Author(s):  
Joshua Laber ◽  
◽  
Ravindra Thamma
Keyword(s):  
Global Economy ◽  
High Speed ◽  
Industrial Robots ◽  
Robotic Arm ◽  
Manufacturing Companies ◽  
Robotic Arms ◽  
Repetitive Tasks ◽  
Pick And Place ◽  
Efficiency Comparison ◽  
Speed And Accuracy

In automation, manufacturing companies require high speed and efficiency to remain competitive in the global economy. One of the most popular ways to increase precision, speed, and accuracy is to implement industrial robotic arms. As of 2020, 2.7 million industrial robots are in operation worldwide. A robotic arm is a machine used to automatic repetitive tasks by manipulating tools or parts in the space around it. Businesses use robotic arms for many operations including pick and place, machining, welding, precision soldering, and other tasks. But with all the different types and configurations of robotic arms, the question remains: What arm would best suit the task at hand? This paper examines and compares three commonly available types of robotic arm: 5-DoF, 6-DoF, and SCARA to compare which are most efficient in tracing paths.

Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India

2019 ◽  
Vol 32 (2) ◽  
pp. 52-75 ◽  
Author(s):  
Brijesh Sivathanu
Keyword(s):  
Small And Medium Enterprises ◽  
Control Variable ◽  
Relative Advantage ◽  
Primary Data ◽  
Management Support ◽  
Industrial Iot ◽  
Component Manufacturing ◽  
The Government ◽  
Medium Enterprises ◽  
Auto Component

This article investigates the adoption of Industrial Internet-of-Things (IIoT) in Auto-Component Manufacturing SMEs (ACM SMEs) in the context of a developing country like India by using the Technology-Organization-Environment (TOE) framework. This research surveyed Information & Communication Technology (ICT) officers, managers and owners of 320 ACM SMEs in India using a structured questionnaire to understand the adoption of IIoT. The primary data was analyzed using the PLS-SEM technique. It was found that IIoT expertise, IIoT infrastructure, relative advantage, compatibility, cost, security, organizational readiness, top management support, competitive pressure, and support from technology vendors are factors that affect the adoption of IIoT. This article considered organization size as the control variable. The results show that it does not have a significant effect on the adoption of IIoT. ACM SMEs are one of the important sectors adopting IIoT. This article provides valuable insights to their managers and IIoT vendors. It also suggests key inputs to the government officials involved in the ‘Make in India' initiative of Government of India (GoI) and Ministry of Micro, Small and Medium Enterprises (MSME).

Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India

2021 ◽  
pp. 719-746
Author(s):  
Brijesh Sivathanu
Keyword(s):  
Small And Medium Enterprises ◽  
Control Variable ◽  
Relative Advantage ◽  
Primary Data ◽  
Management Support ◽  
Government Officials ◽  
Component Manufacturing ◽  
The Government ◽  
Medium Enterprises ◽  
Auto Component

This article investigates the adoption of Industrial Internet-of-Things (IIoT) in Auto-Component Manufacturing SMEs (ACM SMEs) in the context of a developing country like India by using the Technology-Organization-Environment (TOE) framework. This research surveyed Information & Communication Technology (ICT) officers, managers and owners of 320 ACM SMEs in India using a structured questionnaire to understand the adoption of IIoT. The primary data was analyzed using the PLS-SEM technique. It was found that IIoT expertise, IIoT infrastructure, relative advantage, compatibility, cost, security, organizational readiness, top management support, competitive pressure, and support from technology vendors are factors that affect the adoption of IIoT. This article considered organization size as the control variable. The results show that it does not have a significant effect on the adoption of IIoT. ACM SMEs are one of the important sectors adopting IIoT. This article provides valuable insights to their managers and IIoT vendors. It also suggests key inputs to the government officials involved in the ‘Make in India' initiative of Government of India (GoI) and Ministry of Micro, Small and Medium Enterprises (MSME).

Performance measures and metrics for e‐supply chains

2009 ◽  
Vol 22 (3) ◽  
pp. 346-360 ◽  
Author(s):  
Murali Sambasivan ◽  
Zainal Abidin Mohamed ◽  
Tamizarasu Nandan
Keyword(s):  
Supply Chain ◽  
Focus Group ◽  
Supply Chains ◽  
Focus Group Discussion ◽  
Group Discussion ◽  
Reliability And Validity ◽  
Document Management ◽  
Manufacturing Companies ◽  
Content Type ◽  
Component Manufacturing

Purposee‐Supply chains are fast becoming a reality. In order to manage such supply chains efficiently and effectively, traditional measures of supply chain performance are not adequate. The literature search revealed lack of measures and metrics for e‐supply chains. The purpose of this paper is to develop new measures and metrics for monitoring the performance of e‐supply chains.Design/methodology/approachA framework based on the benefits of e‐supply chains has been used to develop the metrics and measures. The study makes use of focus group discussion by assembling eight experts and practitioners in the field of e‐supply chain to come up with the measures and metrics. A questionnaire is designed with these measures and metrics and is sent to about 300 electronic component manufacturing companies in Malaysia to obtain feedback from the industry practitioners. Appropriate reliability and validity tests are conducted to measure the reliability of the instrument and validity of the constructs.FindingsThrough the focus group discussion, this study identifies six metrics and 21 measures. Further validation through the industry practitioners, reveals that these measures are important and some are in use by the industries. The six metrics are: web‐enabled service, data reliability, time and cost, e‐response, invoice presentation and payment and e‐document management metrics.Originality/valueThe study uses a simple framework and a sound methodology to develop new measures and metrics that are relevant for e‐supply chains.

scholarly journals Effectiveness of the Design of Experiments (DoE) on variation reduction : empirical evidence for the automotive component-manufacturing sector in South Africa

2012 ◽  
pp. 50-55
Author(s):  
Robert Walter Zondo ◽  
Keyword(s):  
South Africa ◽  
Design Of Experiments ◽  
Business Performance ◽  
Manufacturing Sector ◽  
Middle Level ◽  
Manufacturing Companies ◽  
Process Variability ◽  
Automotive Component ◽  
Variation Reduction ◽  
Component Manufacturing

In today’s modern manufacturing environment, any process variability is an attack on quality and throughput. Variability reduction is paramount and necessary if higher levels of quality are to be obtained. Hence, this study evaluates the effectiveness of the Design of Experiments (DoE) as a strategic tool for reducing variation in the automotive component manufacturers in South Africa. As with the evolution of the manufacturing process, methods to identify and eliminate process variability are developed. Most of these methods are based on statistical DoE. A DoE is a test or series of tests that enables the experimenter optimise the yield of a process or minimise variability. Consequently, this study focuses on the effectiveness of DoE for variability reduction in the automotive sector in South Africa. Of the 193 individuals identified for participation, 164 completed the questionnaires. Middle-level Managers from four automotive component manufacturing companies in the eThekwini District Municipality participated in the study. The study investigated production and the related experiences of the automotive component manufacturing companies that have adopted a DoE strategy. Descriptive and correlation were used to analyse data. The results indicates that DoE reduces product variation in the automotive component manufacturers in South Africa. In order to maximise performance, a comprehensive variability reduction policy must be developed, which aligns DoE tools to business performance. DoE has the ability to screen a large number of variables to find important ones during product reformulation process in the Product and Development functional areas.

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