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.
|Title of host publication||Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings|
|Editors||Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||10|
|Publication status||Published - 2021|
|Event||IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France|
Duration: 2021 Sep 5 → 2021 Sep 9
|Name||IFIP Advances in Information and Communication Technology|
|Conference||IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021|
|Period||21/9/5 → 21/9/9|
Bibliographical noteFunding Information:
This research was supported by the Yonsei University Research Fund of 2020 (Project Number 2020-22-0509).
© 2021, IFIP International Federation for Information Processing.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
- Information Systems and Management