4.6 Article

Economic and Energetic Performance Evaluation of Unreliable Production Lines: An Integrated Analytical Approach

Journal

IEEE ACCESS
Volume 8, Issue -, Pages 185330-185345

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3029761

Keywords

Energy consumption; Economics; Machine tools; Throughput; Optimization; Markov processes; Energy efficiency; throughput; performance evaluation; production lines; unreliable machines; Markov chain

Funding

  1. European Regional Development Fund (FEDER)
  2. Industrial Chair Connected-Innovation

Ask authors/readers for more resources

The current context is increasingly driving researchers and industry to focus not only on the economic but also on the energetic performance of manufacturing systems. However, considerable work on the enhancement of energetic performance of complex production systems is still needed. This paper addresses a novel integrated analytical method to evaluate simultaneously the economic and energetic performances of a serial production line composed of unreliable machines and intermediate buffers. This approach is based on a discrete Markov chain formulation of machines states transitions and a birth-death Markov process for buffers states evaluation. It introduces throughput, energy consumption and energy efficiency as key performance indicators for assessing economic and energetic performances. Structural characteristics of the problem are analyzed to establish and evaluate the impact of buffers size, reliability parameters, and production rates of the machines on the energetic performance of the production line. A large experimental study, based on different instances inspired by the literature, is carried out to analyze the behavior and the complex trade-off between throughput and energy efficiency performances.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available