Study on Scheduling Method for Reentrant Autoclave Moulding Operation of Composite Materials

2014 ◽  
Vol 490-491 ◽  
pp. 14-18
Author(s):  
Wen Hua Ye ◽  
Jian Li ◽  
Wei Fang Chen ◽  
Wan Tai Ma ◽  
Sheng Leng
Keyword(s):  
Energy Consumption ◽  
Composite Materials ◽  
Theory Of Constraints ◽  
Time Constraints ◽  
Production Cycle ◽  
Scheduling Problem ◽  
Scheduling Optimization ◽  
Moulding Process ◽  
Scheduling Method ◽  
Reducing Energy

The autoclave moulding process of composites is characterized by reentrance, capacity and time constraints. Its scheduling directly affects productivity and production cycle of composites. Scheduling methods in the existing literature can't meet the requirements of its scheduling optimization. Aiming at improving utilization and reducing energy consumption of autoclave, based on the Theory of Constraints, a heuristic algorithm considering the capacity and time constraints is proposed to solve the scheduling problem, and priority scheduling rules are established. The studying of a case shows the effectiveness of the algorithm.

A Hybrid Swarm Optimization Algorithm For Reducing Energy Consumption In The Cloud

2018 ◽  
Vol 11 ◽  
Author(s):  
Mohammed Mostafa Abdulghafoor ◽  
Raed Abdulkareem Hasan ◽  
Zeyad Hussein Salih ◽  
Hayder Ali Nemah Alshara ◽  
Nicolae Tapus
Keyword(s):  
Energy Consumption ◽  
Optimization Algorithm ◽  
Hybrid Swarm ◽  
Swarm Optimization ◽  
Reducing Energy

scholarly journals Optimal Scheduling for Laboratory Automation of Life Science Experiments with Time Constraints

2021 ◽  
pp. 247263032110217
Author(s):  
Takeshi D. Itoh ◽  
Takaaki Horinouchi ◽  
Hiroki Uchida ◽  
Koichi Takahashi ◽  
Haruka Ozaki
Keyword(s):  
Scheduling Algorithms ◽  
Mixed Integer ◽  
Time Constraints ◽  
Live Cells ◽  
Laboratory Automation ◽  
Simulation Based Design ◽  
Simulation Based ◽  
Optimal Allocations ◽  
Scheduling Method ◽  
Time Required

In automated laboratories consisting of multiple different types of instruments, scheduling algorithms are useful for determining the optimal allocations of instruments to minimize the time required to complete experimental procedures. However, previous studies on scheduling algorithms for laboratory automation have not emphasized the time constraints by mutual boundaries (TCMBs) among operations, which is important in procedures involving live cells or unstable biomolecules. Here, we define the “scheduling for laboratory automation in biology” (S-LAB) problem as a scheduling problem for automated laboratories in which operations with TCMBs are performed by multiple different instruments. We formulate an S-LAB problem as a mixed-integer programming (MIP) problem and propose a scheduling method using the branch-and-bound algorithm. Simulations show that our method can find the optimal schedules of S-LAB problems that minimize overall execution time while satisfying the TCMBs. Furthermore, we propose the use of our scheduling method for the simulation-based design of job definitions and laboratory configurations.

Increasing productivity and reducing energy consumption in the pizza industry by the synergetic combination of cooking technologies

2021 ◽  
Author(s):  
David Mastrascusa ◽  
Patricia Vázquez‐Villegas ◽  
José Ignacio Huertas ◽  
Esther Pérez‐Carrillo ◽  
Alejandro J. García‐Cuéllar ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Reducing Energy

Reducing energy consumption in SDN-based data center networks through flow consolidation strategies

2019 ◽  
Author(s):  
Marcelo da Silva Conterato ◽  
Tiago Coelho Ferreto ◽  
Fábio Rossi ◽  
Wagner dos Santos Marques ◽  
Paulo Silas Severo de Souza
Keyword(s):  
Energy Consumption ◽  
Data Center ◽  
Data Center Networks ◽  
Through Flow ◽  
Reducing Energy
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