Amaitik, Nasser, Zhang, Ming, Wang, Kaifeng, Xu, Yuchun and Gu, Peihua (2025). Enhancing Sustainability in Manufacturing Through Life Cycle Optimization of Industrial Equipment. IN: Decarbonizing Value Chains. Kohl, Holger; Seliger, Gunther; Dietrich, Franz and Vien, Ha Thuc (eds) Lecture Notes in Mechanical Engineering (LNME) . Springer, Cham.
Abstract
In the drive towards sustainable manufacturing, extending the service life and improving efficiency of industrial equipment are crucial. Industrial equipment faces challenges of deterioration caused by wear, fatigue etc. effects. Effective maintenance is essential for minimizing the effect of these challenges. This research introduces an integrated model that facilitates the sustainable operation of industrial equipment through life cycle optimization. The model determines optimal maintenance schedules over life cycle by integrating multiple sub-models to analyze equipment. These sub-models include a reliability model to estimate deterioration, a cost model to evaluate the cost of maintenance scenarios, and a scheduling model to generate and select maintenance schedules that minimize life cycle costs while maximizing equipment reliability. By providing life cycle optimisation capabilities, this model supports the transition towards more sustainable manufacturing practices with minimized cost incurred.
| Publication DOI: | https://doi.org/10.1007/978-3-031-93891-7_58 |
|---|---|
| Divisions: | College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing Aston University (General) |
| Funding Information: | This work appreciates the support by Science and Technology Program Project of Shaoxing City under Grant 2023A14016, and previous support of Horizon Europe project Remanufacturing and Refurbishment Large of Industrial Equipment (RECLAIM) under grant No. 8 |
| Additional Information: | Copyright © 2025 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
| ISBN: | 9783031938900, 9783031938917 |
| Last Modified: | 21 Jul 2025 16:01 |
| Date Deposited: | 27 Jun 2025 10:27 |
| Full Text Link: | |
| Related URLs: |
https://link.sp ... -031-93891-7_58
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Conference contribution |
| Published Date: | 2025-06-27 |
| Accepted Date: | 2024-09-09 |
| Authors: |
Amaitik, Nasser
(
0000-0002-0962-4341)
Zhang, Ming Wang, Kaifeng Xu, Yuchun (
0000-0001-6388-813X)
Gu, Peihua |
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