Modeling and Analysis for Inherent Energy Efficiency of Two-machine Bernoulli Serial Lines

Abstract

In recent years, the topic of balancing the energy efficiency of production systems with production performance parameters such as productivity and buffer capacity has received increasing attention. However, the existing research generally focuses on the operational energy efficiency of the production system, which may changes with various workpieces and make it difficult to support the formation and optimization of high-efficiency production lines. For this reason, we firstly propose the inherent energy efficiency of production systems to describe the common characteristics of the operational energy efficiency that do not vary with workpiece changes when production systems machining various possible future workpieces. Secondly, the specific inherent energy efficiency model which based on the unreliability of the production unit and the limited capacity of the product buffer of the Bernoulli two-machine serial production system has been established. Then a mathematical analysis method oriented to the optimal solution for the production line buffer capacity and the inherent energy efficiency has been proposed. Finally, numerical analysis is used to verify that the models and methods proposed in this paper are instructive for energy-efficient design and upgrading of production systems.

Publication DOI: https://doi.org/10.1109/CASE59546.2024.10711815
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
College of Engineering & Physical Sciences
Aston University (General)
Additional Information: Copyright © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Event Title: 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Event Type: Other
Event Dates: 2024-08-28 - 2024-09-01
Uncontrolled Keywords: Control and Systems Engineering,Electrical and Electronic Engineering
ISBN: 9798350358513
Last Modified: 25 Nov 2024 09:02
Date Deposited: 22 Nov 2024 15:06
Full Text Link:
Related URLs: https://www.sco ... tnerID=8YFLogxK (Scopus URL)
https://ieeexpl ... cument/10711815 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2024-10-23
Published Online Date: 2024-10-23
Accepted Date: 2024-09-23
Authors: Xu, Longyao
Liu, Peiji
Wang, Xu
Yu, Fangyuan
Liu, Chao (ORCID Profile 0000-0001-7261-3832)

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 23 October 2025.

License: Creative Commons Attribution Non-commercial No Derivatives


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