Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization

CIRP Annals ◽  
2016 ◽  
Vol 65 (1) ◽  
pp. 433-436 ◽  
Author(s):  
Michael Freitag ◽  
Torsten Hildebrandt
Keyword(s):  
Manufacturing Systems ◽  
Automatic Design ◽  
Multi Objective ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Complex Manufacturing Systems

Simulation-Based Optimization of Electricity Demand Response for Sustainable Manufacturing Systems

2014 ◽  
Author(s):  
Leah Cuyler ◽  
Zeyi Sun ◽  
Lin Li
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Optimization Method ◽  
Electricity Demand ◽  
System Throughput ◽  
Commercial Building ◽  
Simulation Based ◽  
Simulation Based Optimization

Electricity demand response is considered a promising tool to balance the electricity demand and supply during peak periods. It can effectively reduce the cost of building and operating those peaking power generators that are only run a few hundred hours per year to satisfy the peak demand. The research on the electricity demand response implementation for residential and commercial building sectors has been very mature. Recently, it has also been extended to the manufacturing sector. In this paper, a simulation-based optimization method is developed to identify the optimal demand response decisions for the typical manufacturing systems with multiple machines and buffers. Different objectives, i.e. minimizing the power consumption under the constraint of system throughput, and maximize the overall earnings considering the tradeoff between power demand reduction and potential production loss, are considered. Different energy control decisions are analyzed and compared regarding the potential influence on the throughput of manufacturing system due to the different control actions adopted by throughput bottleneck machine.

scholarly journals Simulation-based analysis of shared manufacturing systems

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Gustavo Furtado da Silva ◽  
Nelson Casarotto Filho ◽  
Enzo Morosini Frazzon
Keyword(s):  
Information And Communication Technologies ◽  
Optimization Model ◽  
Manufacturing Systems ◽  
Ad Hoc ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Information And Communication ◽  
Traditional Manufacturing ◽  
The One ◽  
Resources Sharing

Abstract Advancements in information and communication technologies are encouraging researches in shared manufacturing systems, especially on current high-competitiveness and low-resources scenarios. This paper aims to compare productive resources sharing with traditional manufacturing systems by using a simulation-based optimization model. The model is based on the One Product Integrated Manufacturing paradigm in which the efficiency optimization is pursued by designing ad-hoc virtual factories allocating the best resources available on an existing network. The proposed simulation-based optimization model is capable of identifying the best production path and plan for different distances between network members. Along with a better overall efficiency, it is also possible to argue that dedicated virtual factories ease the identification of problems and allow for improvements without negatively affecting other resources.

Sign in / Sign up

Export Citation Format

Share Document