DocumentCode
1962312
Title
Supply chain profit analysis in uncertainties of supply and demand
Author
Gao, Juhong ; Hu, Lanlan
Author_Institution
Coll. of Manage. & Econ., Tianjin Univ., Tianjin, China
Volume
3
fYear
2012
fDate
20-21 Oct. 2012
Firstpage
134
Lastpage
137
Abstract
Considering the uncertainties both in suppliers´ production and assembly manufacturers´ demand for parts, the balancing of profits are analyzed by applying penalties and outsourcing, which in three-level supply chain based on 3PL-hub, which includes suppliers, 3PL-hub and manufacturers. Centralized decision-making and decentralized decision-making models are established respectively. When the whole supply chain profit reaches to maximum, the optimal planned output of suppliers and the optimal order quantity of manufacturers are achieved. According to the above optimization result, the tactics for benefit balance and the scheme of gain distribution are established based on the decision function of the profits and cooperation agreements among the nodes of supply chain, which can make the total profit of supply chain up to the maximum and impel to reach coordination. Finally, the feasibility of this method is demonstrated by an example.
Keywords
assembling; decision making; outsourcing; profitability; supply and demand; supply chain management; 3PL-hub; assembly manufacturer demand; centralized decision-making model; decentralized decision-making model; optimal order quantity; optimal planned output; outsourcing; penalty; profit balancing; supplier production; supply chain profit analysis; supply-and-demand uncertainty; three-level supply chain; Educational institutions; 3PL-hub; Three-level supply chain; Uncertainties of supply and demand; benefit analysis; coordination;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4673-1932-4
Type
conf
DOI
10.1109/ICIII.2012.6339938
Filename
6339938
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