scholarly journals Integrating labor awareness to energy-efficient production scheduling under real-time electricity pricing: An empirical study

2017 ◽  
Vol 168 ◽  
pp. 239-253 ◽  
Author(s):  
Xu Gong ◽  
Marlies Van der Wee ◽  
Toon De Pessemier ◽  
Sofie Verbrugge ◽  
Didier Colle ◽  
...  
Keyword(s):  
Empirical Study ◽  
Real Time ◽  
Production Scheduling ◽  
Energy Efficient ◽  
Efficient Production ◽  
Electricity Pricing

Energy-efficient production scheduling through machine on/off control during preventive maintenance

2021 ◽  
Vol 104 ◽  
pp. 104359
Author(s):  
Guiliang Gong ◽  
Raymond Chiong ◽  
Qianwang Deng ◽  
Wenwu Han ◽  
Like Zhang ◽  
...  
Keyword(s):  
Preventive Maintenance ◽  
Production Scheduling ◽  
Energy Efficient ◽  
Efficient Production

Energy-Efficient Production Scheduling of a Cryogenic Air Separation Plant

2017 ◽  
Vol 56 (15) ◽  
pp. 4399-4414 ◽  
Author(s):  
Shamik Misra ◽  
Mangesh Kapadi ◽  
Ravindra D. Gudi ◽  
R. Srihari
Keyword(s):  
Production Scheduling ◽  
Energy Efficient ◽  
Air Separation ◽  
Efficient Production ◽  
Separation Plant

A random-key encoded harmony search approach for energy-efficient production scheduling with shared resources

2014 ◽  
Vol 47 (11) ◽  
pp. 1481-1496 ◽  
Author(s):  
C.A. Garcia-Santiago ◽  
J. Del Ser ◽  
C. Upton ◽  
F. Quilligan ◽  
S. Gil-Lopez ◽  
...  
Keyword(s):  
Production Scheduling ◽  
Energy Efficient ◽  
Harmony Search ◽  
Efficient Production ◽  
Shared Resources ◽  
Search Approach

Dynamic Manufacturing Scheduling Under Real-Time Electricity Pricing Based on MILP and ARIMA

2017 ◽  
Author(s):  
Yuxin Zhai ◽  
Haiyan Wang ◽  
Fu Zhao ◽  
John W. Sutherland
Keyword(s):  
Real Time ◽  
Production Scheduling ◽  
Flow Line ◽  
The United States ◽  
Electricity Price ◽  
Electricity Pricing ◽  
Manufacturing Scheduling ◽  
Price Forecast ◽  
Electricity Cost ◽  
The Cost

The scheduling of manufacturing equipment is critical in production facilities. Research on production scheduling has traditionally focused on component throughput and cycle time. However, the increase of electricity price in the United States following the market deregulation in 1990s has led to efforts to reduce energy cost via manufacturing scheduling. This paper explores the possibility of reducing electricity cost of a manufacturing facility subject to real time electricity pricing by dynamically changing operation schedules, while maintaining a pre-determined production throughput. A time series model is developed to forecast the hourly electricity price and time-indexed integer programming is used to determine the manufacturing schedule. The electricity price forecast is updated every hour based on the price history, and manufacturing schedule is updated according to the updated price forecast. A hypothetical flow line with 3 processes operating 16 hours per day is used as a case study. The line has a limited public buffer between processes and all machines in the shop have three operational states. With a throughput of 60 parts per day, the results suggest that it is possible to reduce the cost by 3.6% using an hourly forecast compared with a schedule based on a day-ahead price forecast.

Energy Efficient and Real-Time NOMA Scheduling in IoMT-based Three-Tier WBANs

2021 ◽  
pp. 1-1
Author(s):  
Zeinab Askari ◽  
Jamshid Abouei ◽  
Muhammad Jaseemuddin ◽  
Alagan Anpalagan
Keyword(s):  
Real Time ◽  
Energy Efficient
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