Reliability Assessment of Multistate Sustainable Logistics Networks Using Two-Stage Model

Kuan Yu Lin*, Yi Kuei Lin

*Corresponding author for this work

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

Abstract

This article aims to intricately merge the crucial notions of supplier sustainability and network reliability, particularly within the context of a logistics network, where a node represents a supplier, warehouse, assembler, or market, and an arc connecting the nodes represents a carrier. The capacity of each carrier, represented by the available delivery containers, should not be deterministic as they may be partially reserved by other markets. In addition, selecting sustainable suppliers and obtaining feasible order allocations are necessary for various industries. Under these conditions, such a logistic network is regarded as a multistate sustainable logistics network (MSLN). Network reliability, the probability that the MSLN can successfully deliver goods to a market considering a certain level of sustainability, is regarded as a performance indicator for logistics capability. Grounded on Z-number, Method Based on the Removal Effects of Criteria (MEREC), technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and minimal paths (MPs), a two-stage model is proposed to determine network reliability. This model can help decision-makers/managers/investigators in industry to better understand how systematic performance assessment can be conducted.

Original languageEnglish
Title of host publication28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023
PublisherInternational Society of Science and Applied Technologies
Pages85-89
Number of pages5
ISBN (Electronic)9798986576121
StatePublished - 2023
Event28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023 - San Francisco, United States
Duration: 3 Aug 20235 Aug 2023

Publication series

Name28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023

Conference

Conference28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023
Country/TerritoryUnited States
CitySan Francisco
Period3/08/235/08/23

Keywords

  • Method Based on the Removal Effects of Criteria (MEREC)
  • Z-number
  • multistate sustainable logistics network
  • network reliability
  • technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

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