What type of study is this?

This is a Experimental Study study.

Optimization of hybrid flow shop scheduling in a machine shop: Achieving energy efficiency and minimizing machine idleness with multi-objective Tiki Taka optimization

View Full Paper

Ask AI

Bookmark

Authors

This analysis shows improved scheduling outcomes using multi-objective tiki taka optimization, indicating reduced energy use and machine idleness.

MOTTA achieves a best overall performance of 78.42% in hybrid flow shop scheduling, optimizing energy use and machine operation.
Key evaluations revealed that MOTTA surpassed established algorithms like the non-dominated sorting genetic algorithm in reducing idle machine time.
A case study analyzed fourteen jobs across three machine stages, proving effective energy consumption reduction and resource management.
The incorporation of machine idle time into scheduling allows for significant advancements in energy efficiency within manufacturing environments.

Hata et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark

This analysis shows improved scheduling outcomes using multi-objective tiki taka optimization, indicating reduced energy use and machine idleness.