Reliability Assessment of Multistate Sustainable Logistics Networks Using Two-Stage Model  
Author Kuan-Yu Lin

 

Co-Author(s) Yi-Kuei Lin

 

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.

 

Keywords network reliability, multistate sustainable logistics network, Z-number, Method Based on the Removal Effects of Criteria (MEREC), technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
   
    Article #:  RQD28-85
 

Proceedings of 28th ISSAT International Conference on Reliability & Quality in Design
August 3-5, 2023