Estimation of the Network Reliability for a Stochastic Cold Chain Network with Multi-State Travel Time

被引：2

作者：

Nguyen, Thi-Phuong ^{[1
]}

Huang, Chin-Lung ^{[2
]}

Lin, Yi-Kuei ^{[2
,3
,4
,5
]}

机构：

[1] Natl Chin Yi Univ Technol, Master Program Smart Mfg & Appl Informat Sci, Taichung 411070, Taiwan

[2] Natl Yang Ming Chiao Tung Univ, Dept Ind Engn & Management, Hsinchu 300093, Taiwan

[3] Asia Univ, Dept Business Adm, Taichung 413305, Taiwan

[4] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 404333, Taiwan

[5] Chaoyang Univ Technol, Dept Ind Engn & Management, Taichung 413310, Taiwan

来源：

APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 13期

关键词：

stochastic cold chains (SCC); network reliability; multi-state travel time; two multi-state factors; SYSTEM RELIABILITY; CALIBRATION; LOGISTICS; ALGORITHM; MODEL;

D O I：

10.3390/app13137897

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A stochastic cold chain (SCC) is a common supply chain in real life that emphasizes the need for commodities to arrive fresh within time constraints. In previous research on supply chains, the time factor was regarded as a fixed number. However, the travel time is a stochastic factor due to traffic and weather conditions during the delivery. Therefore, this paper concentrates on the two multi-state factors simultaneously. Network reliability is one of the performance indexes used to assess the cold chain efficacy, defined as the probability that the flow of SCC can satisfy the demand within the delivery time threshold. The SCC with two multi-state factors is modeled as a stochastic cold chain network with multi-state travel time (SCCNMT). To calculate the network reliability of an SCCNMT, we will calculate the demand reliability and time reliability separately, treating them as independent events, and multiply the demand and time reliability to estimate the network reliability of the two multi-state factors.

引用

页数：15

共 22 条

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