MODELLING THE IMPACTS OF RESOURCE SHARING ON SUPPLY CHAIN EFFICIENCY

被引:23
作者
Gong, D. [1 ]
Liu, S. [1 ]
Lu, X. [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China
关键词
Resource Sharing Mode; Queuing; Modelling; Simulation; AnyLogic;
D O I
10.2507/IJSIMM14(4)CO20
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study investigates the impacts of resource sharing on the supply chain efficiency. Due to the increased emphasis on efficiency, modern supply chain processes are no longer labour-intensive. Supply chain management should particularly consider resource sharing. The queuing and AnyLogic approaches are developed in this paper to model and simulate complex supply chain operations. First, based on the queuing theory, this paper conducts a mathematical analysis on the resource sharing mode's impact on supply chain efficiency; then, it performs a simulation for the resource sharing mode's impact on supply chain efficiency. Then, in a case from the express industry, this paper quantitatively analyses the resource sharing mode's impact on the average service length of orders, the average service time of orders, the loss rate of orders and the utilization of resources. Finally, through simulation, this study shows that the resource sharing mode is superior to the resources exclusive mode in all of the above aspects. For example, the service length of the resources exclusive mode is much longer than the total service length of the resource sharing mode. However, the service time of the resources exclusive mode is nearly equal to the total service time of the resource sharing mode; the resource sharing mode's loss rate is approximately 90 % lower than the loss rate of the resources exclusive mode.
引用
收藏
页码:744 / 755
页数:12
相关论文
共 21 条
[1]   Agent-based model for optimising supply-chain configurations [J].
Akanle, O. M. ;
Zhang, D. Z. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 115 (02) :444-460
[2]  
[Anonymous], INTRODUCTION TO SUPP
[3]  
Bhattacharyya K., 2011, THESIS
[4]   Behaviour adaptation in the multi-agent, multi-objective and multi-role supply chain [J].
Brintrup, Alexandra .
COMPUTERS IN INDUSTRY, 2010, 61 (07) :636-645
[5]   TWO-PHASE SELECTION PROCEDURE OF ALUMINIZED SHEET SUPPLIER BY APPLYING FUZZY AHP AND FUZZY TOPSIS METHODOLOGY [J].
Bronja, Harun ;
Bronja, Haris .
TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2015, 22 (04) :821-828
[6]   Social Cloud Computing: A Vision for Socially Motivated Resource Sharing [J].
Chard, Kyle ;
Bubendorfer, Kris ;
Caton, Simon ;
Rana, Omer F. .
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2012, 5 (04) :551-563
[7]  
Gill A., 2008, International Journal of Simulation Modelling, V7, P165, DOI 10.2507/IJSIMM07(4)1.104
[8]  
Gong DQ, 2013, STUD INFORM CONTROL, V22, P367
[9]   An agent-based framework for collaborative negotiation in the global manufacturing supply chain network [J].
Jiao, JX ;
You, X ;
Kumar, A .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2006, 22 (03) :239-255
[10]  
Lee H L., 2000, Supply Chain Management Review