Title
Two-stage supply chain study of deteriorating items considering the double effect for multimedia systems
Abstract
Considering the ethylene effect and the perspective of learning theory from an interdisciplinary perspective, this paper studies the optimal inventory management of deteriorating items’ two-stage supply chain consisting of suppliers and retailers. It is suggested that the inventory level of the two-stage supply chain will affect the dynamic deterioration problem of deterioration degree through the ethylene intensity coefficient. Based on the learning effect theory, the two-stage inventory model of deteriorating items’ supply chain is constructed. By analyzing the cost structure under the influence of learning effect of suppliers and retailers, the profit of supply chain is solved by optimization method and optimal price and optimal learning coefficient are derived. The optimal solution of learning coefficient is obtained from various scenarios with theoretical analysis. Meanwhile, the influence of learning effect coefficient on system profit is compared under different ethylene intensity levels. Finally, the paper presents a numerical example to illustrate the rationality and applications of theoretical results. Through this research, it is aimed to reveal the multimedia system could be used to show the data change to help the business decision be more reasonable to attain more profit for managers. Furthermore, the multimedia technology could intensify the learning effect and in return could maximize the system profit of supply chain. This work is mainly modeling analysis, while the research outcomes could be developed into a good system by using multimedia technology.
Year
DOI
Venue
2019
10.1007/s11042-018-6456-9
Multimedia Tools and Applications
Keywords
Field
DocType
Double effect, Deteriorating items, Two-stage, Supply chain, Multimedia systems
Learning effect,Rationality,Learning theory,Optimal learning,Computer science,Business decision mapping,Supply chain,Multimedia system,Multimedia
Journal
Volume
Issue
ISSN
78.0
4
1573-7721
Citations 
PageRank 
References 
0
0.34
14
Authors
4
Name
Order
Citations
PageRank
Min Liu15616.44
Xiaode Zuo200.34
Xian-Gang Lan300.34
Minghui Xu400.34