A green productivity based process planning system for a machining process-Reference-Cited by-同舟云学术

A green productivity based process planning system for a machining process

Published:2014-12-11 Issue:17 Volume:53 Page:5085-5105
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Shin Seung-Jun,Suh Suk-Hwan,Stroud Ian

Funder

This research was in part supported by the International Research & Development Program funded by the Ministry of Education, Science and Technology (MEST) of Korea

the Korea Institute for Advancement of Technology (KIAT) grant funded by the Ministry of Trade Industry and Energy (MOTIE) of Korea. 2014 Establishment of GEM

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207543.2014.988884

Reference28 articles.

1. Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi's technique—A comparative analysis

2. Issues in environmentally conscious manufacturing and product recovery: a survey

3. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites

4. Some New Three Level Designs for the Study of Quantitative Variables

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flexible process planning based on predictive models for machining time and energy consumption;The International Journal of Advanced Manufacturing Technology;2023-07-29

2. Assessment of Green Sustainability Index of a Machining Process Using Multigrade Fuzzy Approach;Lecture Notes in Mechanical Engineering;2020-10-21

3. Three-dimensional characterization of MnS inclusions in steel during rolling process;Materials Characterization;2019-12

4. Circular economy: benefits, impacts and overlapping;Supply Chain Management: An International Journal;2019-10-22

5. Developing an energy-efficient process planning system for prismatic parts via STEP-NC;The International Journal of Advanced Manufacturing Technology;2019-05-07