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2020 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System

verfasst von: Prof. Yan Wang, Prof. Cheng-Lin Liu, Prof. Zhi-Cheng Ji

Verlag: Springer Singapore

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Discrete manufacturing system is an important support for the production of mechanical products and their parts, and its energy consumption is an important part of the carbon footprint of products.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 2. Perceiving the Energy Consumption Information of Discrete Manufacturing Systems
Abstract
The discrete manufacturing system is a complex giant. For instance, the machine tool manufacturing system used in the equipment manufacturing industry includes not only such processes.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 3. Energy Consumption Model of the Discrete Manufacturing System
Abstract
For the discrete manufacturing system, its energy consumption and its facility condition have closely connections with its other factors, such as motion properties, technical parameters, a ranking of technical features, product structure, production scheduling and commitment control.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 4. Constructing a Multi-layered Energy Efficiency Quantitative Analysis Index System
Abstract
The construction of an energy efficiency quantitative analysis index system is the precondition for the quantitative energy consumption analysis of the discrete manufacturing system.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 5. The Quantitative Analysis of Energy Efficiency Based on Rough Set Theory and AHM
Abstract
After building the discrete manufacturing logistics system and quantitative analysis system of energy efficiency, we need to use a scientifically efficient method to solve the energy efficiency problem. In the quantitative analysis system, the indexes can show one aspect of the energy efficiency of discrete manufacturing system, but cannot analyze them comprehensively.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 6. Diagnosis of the Manufacturing Energy Consumption Bottleneck in a Complex Environment
Abstract
Using the energy efficiency quantitative analysis method to evaluate the energy efficiency of the discrete manufacturing system’s job shop can fully reflect the workshop’s energy efficiency level. But since there are so many departments and multiple types of equipment involved with the discrete manufacturing system’s energy consumption, and since the energy consumption of various procedures varies a lot, such complexity, diversity and evolvability of the discrete manufacturing energy consumption system result in the difficulty of optimizing the energy efficiency of the manufacturing workshop.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 7. The Energy Efficiency Quantitative Analysis Based on the Principal Component Analysis
Abstract
Based on the now-established energy efficiency quantitative analysis system of the discrete manufacturing system, we propose a scientific and effective method to solve the problems of energy consumption quantitative analysis.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 8. Static Optimization and Scheduling of the Discrete Manufacturing System’s Energy Efficiency Based on the Integration of Knowledge and MOPSO
Abstract
Scholars both at home and abroad have undertaken numerous research and proposed many optimization methods.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 9. Discrete Manufacturing System’s Dynamic Intelligent Optimization Scheduling Method for High-Dimensional and Multi-objective Optimization of Production/Energy Consumption
Abstract
Current documents are mostly research targeting at low-dimensional multi-objective flexible workshop’s scheduling problem. The number of optimization targets does not exceed three, and these targets are normally related to completion time, machine load and delivery period. But actual discrete manufacturing system also involves some realistic objectives, including energy consumption, cost and processing quality, which represent the decision expectation and evaluation standards of the different departments in an enterprise towards scheduling scheme.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 10. Energy-Efficient Process Parameters Optimizing Decision Method
Abstract
Introduction of the discount factor avoids the data saturation of the additional loading loss factor during identification and separates the cutting power.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Chapter 11. Design and Application of Energy Efficiency Optimization Control Software System
Abstract
The previous chapters have carried out detailed research on the energy efficiency modelling and optimization methods of discrete manufacturing systems. Based on ISOK industrial operation platform, this chapter will integrate energy efficiency real-time monitoring, quantitative analysis, process parameter optimization decision, static and dynamic optimization scheduling algorithm, research and development of energy efficiency optimization control software system and application verification on multi-variety flexible bearing processing automation production line. Firstly, this chapter introduces the development environment and overall architecture of the energy efficiency optimization control software system. Then, the functional modules of the system are introduced. Finally, the actual implementation results of the system are given.
Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
Metadaten
Titel
Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System
verfasst von
Prof. Yan Wang
Prof. Cheng-Lin Liu
Prof. Zhi-Cheng Ji
Copyright-Jahr
2020
Verlag
Springer Singapore
Electronic ISBN
978-981-15-4462-0
Print ISBN
978-981-15-4461-3
DOI
https://doi.org/10.1007/978-981-15-4462-0

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