✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We derive solutions with polynomial-time for both objectives.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:The focus of this work is to analyze working environment temperature in single-machine scheduling problems.
📊
Key Findings & Data:In classical scheduling problems, the processing times are considered usually without the effect of working environment temperature.
💡
Conclusion & Impact:We derive solutions with polynomial-time for both objectives.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The focus of this work is to analyze working environment temperature in single-machine scheduling problems. In classical scheduling problems, the processing times are considered usually without the effect of working environment temperature. However, in many real scheduling environments, working environment temperature may affect processing time due to the nature of work. In this paper, we present job processing times based on the working environment temperature for total completion time (square) problem. We derive solutions with polynomial-time for both objectives.
🔖
Cite This Article
TOKSARI, M. (2016). Total Completion Time Scheduling Problem with Temperature Considerations. Nevşehir Bilim ve Teknoloji Dergisi, Cilt: 5 - Sayı: 2, 185–192. https://ajindex.com/articles/793783