How Much Green Investments Are Efficient for a Smart Production System?

Rekha Guchhait, Mitali Sarkar, Biswajit Sarkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The increasing global warming effect on the environment is massive nowadays and the production industry is trying to reduce carbon emission to the minimum level. This study investigates the effect of green investment in a smart production system under the effect of energy. The effect of the green movement is depicted on the customer satisfaction level. The machine produces imperfect products at a random time and gets reworked within the same cycle. The system failure rate relates the imperfect production with reliability. The mathematical model is solved by the classical optimization procedure and found the global optimum solution. Managerial insights are provided to show the applicability of the model. Results find that the carbon reduction due to the green investment and customer satisfaction holds a wide margin of the profit.

Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
EditorsAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
PublisherSpringer Science and Business Media Deutschland GmbH
Pages450-459
Number of pages10
ISBN (Print)9783030859053
DOIs
Publication statusPublished - 2021
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France
Duration: 2021 Sept 52021 Sept 9

Publication series

NameIFIP Advances in Information and Communication Technology
Volume632 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

ConferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Country/TerritoryFrance
CityNantes
Period21/9/521/9/9

Bibliographical note

Funding Information:
This research was supported by the Yonsei University Research Fund of 2020 (Project Number 2020-22-0509).

Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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