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This paper empirically examines the Internet of Things (IoT) and its implementation on the business and manufacturing process, in the Bosch which is situated in Bangalore. | Use of IOT at BOSCH manufacturing in Bangalore International Journal of Management IJM Volume 10 Issue 1 January February 2019 pp. 33 37 Article ID IJM_10_01_006 Available online at http www.iaeme.com ijm issues.asp JType IJM amp VType 10 amp IType 1 Journal Impact Factor 2019 9.6780 Calculated by GISI www.jifactor.com ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication USE OF IoT AT BOSCH MANUFACTURING IN BANGALORE Mallieswari R Assistant Professor Ramaiah Institute of Management Bangalore India Aravinda Reddy M N Assistant Professor Ramaiah Institute of Management Bangalore India ABSTRACT This paper empirically examines the Internet of Things IoT and its implementation on the business and manufacturing process in the Bosch which is situated in Bangalore. This report has been developed as a guiding framework and conducted a series of research activities including in-person workshops virtual working group sessions interviews of key thought leaders and a survey of employ of Bosch manufacturing plant. Types of IoT application IoT suite and IoT cloud-enabled software and the methods of IoT which is considered by the Bosch manufacturing process. Where Just in Time JIT Kaizon Pokea-Yoke and Kanban are the major method of manufacturing process and to understand the impact of it by using chi square which is focused more in this research and the use of IoT at bosch manufacturing in Bangalore. Key words Production process Internet of Things IoT chi-square. Cite this Article Mallieswari R and Aravinda Reddy M N Use of IoT at Bosch Manufacturing in Bangalore. International Journal of Management 10 1 2019 pp. 33 37. http www.iaeme.com IJM issues.asp JType IJM amp VType 10 amp IType 1 1. INTRODUCTION The Internet of Things IoT will transform companies and countries opening up a new era of economic growth and competitiveness. We see a future where the intersection of people data and intelligent machines will have far-reaching impacts on the productivity efficiency
