System reliability for a multi-state distribution network with multiple terminals under stocks

被引:16
作者
Huang, Cheng-Fu [1 ]
机构
[1] Feng Chia Univ, Dept Business Adm, Taichung 40724, Taiwan
关键词
Multi state distribution network (MDN); System reliability; Multiple terminals; Stocks; Demand; INTERMODAL LOGISTICS NETWORK; INVENTORY MODEL; D-MPS; TIME; DESIGN; ALGORITHM; DEMAND; COST;
D O I
10.1007/s10479-020-03546-3
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
To achieve the most efficiency in supply chain management, the capability of distribution networks is a key point for the entire supply chain. Stocks are critical for enhancing the efficiency of satisfying the demand of retailers in the distribution network. A configuration of a distribution network is consisted of routes and nodes. Each route connects a pair of nodes and each node is denoted as a supplier, a distribution center, or a retailer. For each route, it has a carrier whose available capacity for demand transmission is multi state. Hence, a distribution network is also regarded as a multi state network and such a network is named as a multi state distribution network (MDN) in here. The propose of this paper is to evaluate the system reliability which is defined as the probability that the MDN can meet all retailers' demand under stocks. In practical, all retailers' demand should be satisfied by stocks in the distribution centers (DCs) firstly. Therefore flow assignment in MDN model is mainly clarified by the relationship between the demand of retailers, stocks on DCs, and suppliers. The concept of minimal capacity vectors (MCVs) is then proposed and an algorithm is developed to obtaining MCVs for evaluating system reliability.
引用
收藏
页码:117 / 130
页数:14
相关论文
共 24 条
[1]   A Fuzzy Inventory Model for a Deteriorating Item with Variable Demand, Permissible Delay in Payments and Partial Backlogging with Shortage Follows Inventory (SFI) Policy [J].
Akbar Shaikh, Ali ;
Bhunia, Asoke Kumar ;
Eduardo Cardenas-Barron, Leopoldo ;
Sahoo, Laxminarayan ;
Tiwari, Sunil .
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2018, 20 (05) :1606-1623
[2]   Searching for d-MPs with fast enumeration [J].
Chen, Shin-Guang ;
Lin, Yi-Kuei .
JOURNAL OF COMPUTATIONAL SCIENCE, 2016, 17 :139-147
[3]   Designing the distribution network in a supply chain [J].
Chopra, S .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2003, 39 (02) :123-140
[4]   A new efficient encoding/decoding procedure for the design of a supply chain network with genetic algorithms [J].
Costa, Antonio ;
Celano, Giovanni ;
Fichera, Sergio ;
Trovato, Enrico .
COMPUTERS & INDUSTRIAL ENGINEERING, 2010, 59 (04) :986-999
[5]  
Ford L. R., 1962, Flows in Networks
[6]   Multi-criteria logistics distribution network design using SAS/OR [J].
Ho, William ;
Emrouznejad, Ali .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :7288-7298
[7]   Evaluation of system reliability for a stochastic delivery-flow distribution network with inventory [J].
Huang, Cheng-Fu .
ANNALS OF OPERATIONS RESEARCH, 2019, 277 (01) :33-45
[8]   Reliability of a stochastic intermodal logistics network under spoilage and time considerations [J].
Lin, Yi-Kuei ;
Huang, Cheng-Fu ;
Liao, Yi-Chieh .
ANNALS OF OPERATIONS RESEARCH, 2019, 277 (01) :95-118
[9]   System reliability for a multistate intermodal logistics network with time windows [J].
Lin, Yi-Kuei ;
Huang, Cheng-Fu ;
Liao, Yi-Chieh ;
Yeh, Chih-Ching .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (07) :1957-1969
[10]   A simple algorithm for reliability evaluation of a stochastic-flow network with node failure [J].
Lin, YK .
COMPUTERS & OPERATIONS RESEARCH, 2001, 28 (13) :1277-1285