Skip to main navigation Skip to search Skip to main content

A multi-granularity model for energy consumption simulation and control of discrete manufacturing system

  • Jun Feng Wang*
  • , Shi Qi Li
  • , Ji Hong Liu
  • *Corresponding author for this work
  • Huazhong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The sustainable manufacturing makes the discrete industry considering the energy efficiency of the production process. Energy consumption becomes a very important indicator of energy efficient manufacturing. Discrete event simulation plays a vital role in evaluating the performance of the production plan. Energy related decisions making of the production plan by simulation need a formal energy consumption model to evaluate the manufacturing process. In this paper, a multi-granularity state chart model is proposed to simulate and control the energy consumption process of the production. A general energy consumption profile is defined and some key states in a working cycle of a CNC machine are clarified for energy audit and saving control purpose. A CNC machine with five energy consumption states is used as an example to illustrate the use of the model. Some performance indicators are collected from the simulation and compared to show the effective of the model.

Original languageEnglish
Title of host publication19th International Conference on Industrial Engineering and Engineering Management
Subtitle of host publicationAssistive Technology of Industrial Engineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1055-1064
Number of pages10
ISBN (Print)9783642383908
DOIs
StatePublished - 2013
Event19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering - Changsha, China
Duration: 27 Oct 201229 Oct 2012

Publication series

Name19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering

Conference

Conference19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering
Country/TerritoryChina
CityChangsha
Period27/10/1229/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Discrete manufacturing system
  • Energy consumption
  • Simulation
  • State chart model

Fingerprint

Dive into the research topics of 'A multi-granularity model for energy consumption simulation and control of discrete manufacturing system'. Together they form a unique fingerprint.

Cite this