Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints

Hongfei Jia, Yingjun Xu, Guangdong Tian, Mengchu Zhou, June Zhang, Honghao Zhang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

An uncertainty facility location allocation (FLA) problem is a complex nonlinear optimization problem. Currently, researchers have discussed the stochastic cost/profit issues of FLA. However, rising energy conservation awareness and environmental concerns, energy-efficientcy and low-carbon emission should be regarded as key criteria in solving it. To do so, this paper presents a new FLA problem from a sustainable development point of view. By taking a typical facility service enterprise as a case, a new stochastic energy-efficient FLA model subject to carbon emission, economical, capacitated, and regional constraints is formulated. Then, stochastic simulation and scatter search are integrated as an intelligent algorithm to resolve it. Some examples are demonstrated to prove the availability of the proposed model and solution algorithm.

Original languageEnglish (US)
Article number8466770
Pages (from-to)72757-72765
Number of pages9
JournalIEEE Access
Volume6
DOIs
StatePublished - Sep 15 2018

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Keywords

  • Sustainable facility location
  • data processing
  • modeling and simulation
  • transportation

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