Advances in green shop scheduling and optimization

Ling Wang*, Jing Jing Wang, Chu Ge Wu

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

59 Citations (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 59
  • Captures
    • Readers: 26
see details

Abstract

Nowadays, the environmental issue gets increasingly serious, and the research of green manufacturing attracts much attention. As a modern manufacturing model, green manufacturing aims to guarantee the quality and function of products, reduce the manufacturing cost, raise the manufacturing profit, and at the same time to decrease environmental polution and energy waste, so as to achieve the simultaneous optimization of economic and green indexes. Green shop scheduling is an important element in green manufacturing with academic significance and engineering value, which is more difficult to be solved than the classic shop scheduling problems. Via the reasonable optimization of resource allocation, operation sequence and exection pattern, profit rising, energy saving, discharge decreasing and consumption reducing can be achieved. The complexities of the green shop scheduling problems and the related handling schemes are analyzed, and the typical advances in terms of problem, method and application are reviewed, and some further research directions and contents in each aspect are pointed out to promote the research and development of the intelligent manufacturing and green manufacturing.

Original languageEnglish
Pages (from-to)385-391
Number of pages7
JournalKongzhi yu Juece/Control and Decision
Volume33
Issue number3
DOIs
Publication statusPublished - 1 Mar 2018
Externally publishedYes

Keywords

  • Energy saving
  • Green shop scheduling
  • Low-carbon
  • Optimization

Fingerprint

Dive into the research topics of 'Advances in green shop scheduling and optimization'. Together they form a unique fingerprint.

Cite this

Wang, L., Wang, J. J., & Wu, C. G. (2018). Advances in green shop scheduling and optimization. Kongzhi yu Juece/Control and Decision, 33(3), 385-391. https://doi.org/10.13195/j.kzyjc.2017.0215