scholarly journals An Improved Scheduling Approach for Minimizing Total Energy Consumption and Makespan in a Flexible Job Shop Environment

2018 ◽  
Vol 11 (1) ◽  
pp. 179 ◽  
Author(s):  
Zhongwei Zhang ◽  
Lihui Wu ◽  
Tao Peng ◽  
Shun Jia
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Efficient ◽  
Job Shop ◽  
System Level ◽  
Flexible Job Shop ◽  
Total Production ◽  
Efficient Mechanism ◽  
Energy Efficient Scheduling

Nowadays, manufacturing industry is under increasing pressure to save energy and reduce emissions, and thereby enhancing the energy efficiency of the machining system (MS) through operational methods on the system-level has attracted more attention. Energy-efficient scheduling (ES) has proved to be a typical measure suitable for all shop types, and an energy-efficient mechanism that a machine can be switched off and back on if it waits for a new job for a relatively long period is another proven effective energy-saving measure. Furthermore, their combination has been fully investigated in a single machine, flow shop and job shop, and the improvement in energy efficiency is significant compared with only applying ES for MS. However, whether such two energy-saving measures can be integrated in a flexible job shop environment is a gap in the existing study. To address this, a scheduling method applying an energy-efficient mechanism is proposed for a flexible job shop environment and the corresponding mathematical model, namely the energy-efficient flexible job shop scheduling (EFJSS) model, considering total production energy consumption (EC) and makespan is formulated. Besides, transportation as well as its impact on EC is taken into account in this model for practical application. Furthermore, a solution approach based on the non-dominated sorting genetic algorithm-II (NSGA-II) is adopted, which can avoid the interference of subjective factors and help select a suitable machine for each operation and undertake rational operation sequencing simultaneously. Moreover, experimental results confirm the validity of the improved energy-efficient scheduling approach in a flexible job shop environment and the effectiveness of the solution.

An improved SFLA for flexible job shop scheduling problem considering energy consumption

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840112 ◽  
Author(s):  
Xiaoxing Zhang ◽  
Zhicheng Ji ◽  
Yan Wang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Neighborhood Search ◽  
Flexible Job Shop ◽  
Scheduling Problem ◽  
Flexible Job Shop Scheduling ◽  
Job Shop Scheduling Problem ◽  
Shop Scheduling

In this paper, a multi-objective flexible job shop scheduling problem (MOFJSP) was studied systematically. A novel energy-saving scheduling model was established based on considering makespan and total energy consumption simultaneously. Different from previous studies, four types of energy consumption were considered in this model, including processing energy, idle energy, transport energy, and turn-on/off energy. In addition, a turn-off strategy is adopted for energy-saving. A modified shuffled frog-leaping algorithm (SFLA) was applied to solve this model. Moreover, operators of multi-point crossover and neighborhood search were both employed to obtain optimal solutions. Experiments were conducted to verify the performance of the SFLA compared with a non-dominated sorting genetic algorithm with blood variation (BVNSGA-II). The results show that this algorithm and strategy are very effective.

scholarly journals Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm

Mathematics ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. 220 ◽  
Author(s):  
Tianhua Jiang ◽  
Chao Zhang ◽  
Huiqi Zhu ◽  
Jiuchun Gu ◽  
Guanlong Deng
Keyword(s):  
Energy Consumption ◽  
Optimization Algorithm ◽  
Energy Efficient ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Scheduling Problem ◽  
Job Shop Scheduling Problem ◽  
Shop Scheduling ◽  
Whale Optimization ◽  
Energy Efficient Scheduling

Under the current environmental pressure, many manufacturing enterprises are urged or forced to adopt effective energy-saving measures. However, environmental metrics, such as energy consumption and CO2 emission, are seldom considered in the traditional production scheduling problems. Recently, the energy-related scheduling problem has been paid increasingly more attention by researchers. In this paper, an energy-efficient job shop scheduling problem (EJSP) is investigated with the objective of minimizing the sum of the energy consumption cost and the completion-time cost. As the classical JSP is well known as a non-deterministic polynomial-time hard (NP-hard) problem, an improved whale optimization algorithm (IWOA) is presented to solve the energy-efficient scheduling problem. The improvement is performed using dispatching rules (DR), a nonlinear convergence factor (NCF), and a mutation operation (MO). The DR is used to enhance the initial solution quality and overcome the drawbacks of the random population. The NCF is adopted to balance the abilities of exploration and exploitation of the algorithm. The MO is employed to reduce the possibility of falling into local optimum to avoid the premature convergence. To validate the effectiveness of the proposed algorithm, extensive simulations have been performed in the experiment section. The computational data demonstrate the promising advantages of the proposed IWOA for the energy-efficient job shop scheduling problem.

scholarly journals Energy Sensing and Monitoring Framework with an Integrated Communication Backbone in the Energy Efficient Intelligent Buildings

2013 ◽  
Vol 303-306 ◽  
pp. 1460-1464
Author(s):  
Jian Li Pan ◽  
Shan Zhi Chen ◽  
Raj Jain ◽  
Subharthi Paul
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Communication Networks ◽  
Energy Efficient ◽  
Smart Phone ◽  
Intelligent Buildings ◽  
Monitoring Framework ◽  
Integrated Communication ◽  
Energy Sensing

Building environments are significant sources of global energy consumption. To create energy efficient buildings, the first step is to sense and monitor all the energy-consuming appliances in the buildings and record all the energy consumption information. After that, appropriate energy saving policies can be decided and the instructions can be sent to the control devices to apply the energy saving adjustments. To do that, in-building two-way communication networks are needed to connect all the sensors to collect information as well as to send control instructions. However, most of the current devices are provided by separate manufacturers and with separate network infrastructures and so there is not much integration and interaction among different subsystems. In this paper, we envision a new energy sensing and monitoring framework with integrated communication backbone in the intelligent building environments. Specifically, through comprehensive comparisons and investigations, we study different candidate communicating media and protocols like wireline, wireless, and power-line communications technologies that potentially can be used in the intelligent buildings to realize the goals of coordination, integration, and energy efficiency. Also, we propose an extension "smart box" for integration of the devices before the maturity of the standardization process. Cloud computing and smart phone technologies are also introduced to realize the goals of improving energy efficiency and promote global sustainability.

scholarly journals ACCOUNTING FOR THE INFLUENCE OF THE BUILDING SHAPE ON ITS ENERGY EFFICIENCY

2021 ◽  
Vol 112 ◽  
pp. 10-15
Author(s):  
M.V. Rubtsova ◽  
◽  
Е.Е. Semenova
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Heat Loss ◽  
Energy Efficient ◽  
Three Dimensional ◽  
Spatial Characteristics ◽  
Space Planning ◽  
Floor Area ◽  
Building Shape

The influence of building plan configurations in relation to their spatial characteristics on their energy consumption is considered. The article substantiates the relevance of the research of space-planning solutions of building forms, taking into account energy efficiency. As the object of research, the authors selected the most common three-dimensional configurations of building forms, taking into account energy efficiency. Examples of the analysis of the main space-planning parameters of the building and the prerequisites for their influence on its heat loss are considered with the provided graphic materials that allow you to find out the dependence of the change in the area of enclosing structures on the change in the floor area. This comparison is carried out in order to determine an energy-efficient and rationally arranged space-planning solution, taking into account the principles of energy saving for the construction of buildings.

A Study on the Convergence Adaptor Using Plug Computer

2012 ◽  
Vol 462 ◽  
pp. 348-352
Author(s):  
Jung Mee Yun ◽  
Dae Hwan Kim
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Efficient ◽  
The Internet ◽  
Internet Applications ◽  
Power Monitoring ◽  
Mac Layers ◽  
Related Energy ◽  
Cooling Devices

Recent studies have shown that the Internet-related energy consumption represents a significant, and increasing, part of the overall energy consumption of our society. Therefore, it is extremely important to look for energy-efficient Internet applications and protocols. For EPON, research on the development of protocols for higher energy efficiency at the PHY/MAC layers and the enactment of standards, and the improvement of energy efficiency of EPON devices is being conducted, while for networking equipment such as routers and switches and IDCs, research on saving the energy consumed by devices and the management of energy efficiency using power monitoring, cooling devices and metering technologies is being conducted. Against this backdrop, this study is aimed to develop methodology for the improvement of network energy efficiency in existing home/ small and medium-sized office network environments and to develop, test and evaluate an energy saving prototype for Convergence Adaptor

Flexible Job-Shop Scheduling Problem with Maintenance Activities Considering Energy Consumption

2014 ◽  
Vol 521 ◽  
pp. 707-713 ◽  
Author(s):  
Wen Jia Song ◽  
Chao Yong Zhang ◽  
Wen Wen Lin ◽  
Xin Yu Shao
Keyword(s):  
Energy Consumption ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Energy Costs ◽  
Flexible Job Shop ◽  
Total Production ◽  
Flexible Job Shop Scheduling ◽  
Nsga Ii ◽  
Design Activities ◽  
Maximum Completion Time

With the developing of industry, the topic of energy-saving is attracting more and more attentions. However, the attentions have focused primarily on the design activities of the firm. The planning/scheduling activities of manufacturing are neglected. In this paper, a mathematical model, which considers the energy consumption and preventive maintenance of equipment in the flexible job shop, is established, three objectives, such as the minimization of maximum completion time, the minimization of total production energy costs and the minimization of total energy costs of maintenance that are quantized by electricity, are taken into account. The algorithm of NSGA-II is presented to solve the optimization model, and experimental results validate the effectiveness of the proposed approach.

Energy-Efficient Technologies in the Construction of School in Hot Climates

2014 ◽  
Vol 587-589 ◽  
pp. 287-293 ◽  
Author(s):  
Anastasiia Sergeevna Fidrikova ◽  
Olga Sergeevna Grishina ◽  
Alexey Pavlovich Marichev ◽  
Xeniya Mikhailovna Rakova
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Efficient ◽  
Climatic Conditions ◽  
Energy Reduction ◽  
Insulating Materials ◽  
Space Planning ◽  
Class A ◽  
Reduce Energy Consumption

Reduction of the costs in the operation of the building, due to energy-saving technologies, is a priority in the construction today. This article discusses some ways to reduce energy consumption of schools in hot climates such as the installation of solar collectors, using of triple-glazed windows and modern insulating materials. These methods of energy reduction are determined by the selected space-planning solutions, constructive features of the structure, financial possibilities and climatic conditions. Considering these above listed characteristics, the school was designed for the class A of energy efficiency.[1-4]

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