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Advances in Intelligent Manufacturing

Select Proceedings of ICFMMP 2019

  • Grzegorz Krolczyk
  • Chander Prakash
  • Sunpreet Singh
  • Joao Paulo Davim
Conference proceedings
  • 391 Downloads

Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Mahipal Singh, Rajeev Rathi, Dinesh Khanduja, Gurpreet Singh Phull, Mahender Singh Kaswan
    Pages 1-16
  3. Parveen Sharma, Rohit Sharma, Soyal Mohammed
    Pages 17-35
  4. Pravin M. Kinge, U. C. Jha
    Pages 37-49
  5. Vijay Kumar Singh, Rajeev Rathi, Arshia Kaul
    Pages 67-79
  6. Deeksha Tiwari, K. K. Shukla, Ubaid Ahmad Khan
    Pages 81-91
  7. Anjali Gupta, Rajesh Kumar, Harmesh Kumar, Harry Garg
    Pages 93-101
  8. Mahender Singh Kaswan, Rajeev Rathi, Dinesh Khanduja, Mahipal Singh
    Pages 103-113
  9. Gaurav Shrivastava, K. K. Shukla, Ubaid Ahmad Khan
    Pages 147-157
  10. Harpreet Singh, Jaspreet Singh Oberoi, Doordarshi Singh
    Pages 159-167
  11. Repudaman Singh Sandhu, Rahul Agarwal, Raja Sekhar Dondapati
    Pages 169-180
  12. Rahul Sindhwani, Punj Lata Singh, Vipin Kaushik, Sumit Sharma, Rakesh Kr. Phanden
    Pages 181-188
  13. Somvir Singh Nain, Rajeev Rathi, B. Srinivasa Varma, Ravi Kumar Panthangi, Amit Kumar
    Pages 189-201
  14. Rahul Sindhwani, Punj Lata Singh, Vipin Kaushik, Sumit Sharma, Rakesh Kumar Phanden, Devendra Kumar Prajapati
    Pages 203-219

About these proceedings

Introduction

This book consists of select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019, and presents latest research on using the combined intelligence of people, processes, and machines to impact the overall economics of manufacturing. The book focuses on optimizing manufacturing resources, improving business value and safety, and reducing waste – both on the floor and in back-office operations. It highlights the applications of the latest manufacturing execution system (MES), intelligent devices, machine-to-machine communication, and data analysis for the production lines and facilities. This book will be useful to manufacturers of finished goods and of sub-assemblies in the automotive, agriculture, and construction equipment sector. It will also provide solutions to make production strategies exceptional and can be a useful reference for beginners, researchers, and professionals interested in intelligent manufacturing technologies.

Keywords

Digital Manufacturing Manufacturing Optimization Production Planning Scheduling Industry 4.0 Artificial Intelligence Robotics ICFMMP 2019

Editors and affiliations

  1. 1.Mechanical EngineeringOpole University of TechnologyOpolePoland
  2. 2.School of Mechanical EngineeringLovely Professional UniversityPhagwaraIndia
  3. 3.Centre for Nanofibers & NanotechnologyNational University of SingaporeSingaporeSingapore
  4. 4.Department of Mechanical EngineeringUniversity of AveiroAveiroPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-4565-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-15-4564-1
  • Online ISBN 978-981-15-4565-8
  • Series Print ISSN 2195-4356
  • Series Online ISSN 2195-4364
  • Buy this book on publisher's site
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