A Procurement-distribution Coordination Model in Humanitarian Supply Chain Using the Information-sharing Mechanism

2018 ◽  
Vol 31 (7) ◽  
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Coordination Model ◽  
Information Sharing Mechanism ◽  
Humanitarian Supply Chain

scholarly journals Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Collaborative Management ◽  
Computing Technology ◽  
Chain Management ◽  
Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

scholarly journals Coordination of Supply Chain under Blockchain System-Based Product Lifecycle Information Sharing Effort

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Saidjahon Hayrutdinov ◽  
Mahmoud S. R. Saeed ◽  
Azamat Rajapov
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Revenue Sharing ◽  
Sensitivity Coefficient ◽  
Price Sensitivity ◽  
Equilibrium Solutions ◽  
Product Lifecycle ◽  
Coordination Model ◽  
Study Results ◽  
The Game Theory

The study proposes a supply chain contractual coordination model based on the product lifecycle information sharing effort and consumers' price sensitivity to a product with the Blockchain system. This paper examined the following five scenarios: (1) centralized supply chain with Blockchain system-based product lifecycle information sharing investment; (2) Stackelberg leader retailer processed and invested Blockchain system scenario; (3) retailer processed the Blockchain system cost-sharing scenario; (4) retailer processed Blockchain system investment through bargaining the revenue-sharing model; (5) Blockchain system investment under the cost and revenue-sharing contract. The study used the game theory reverse induction method to compare the Nash equilibrium solutions under different decision-making scenarios and discussed the chain member’s constraint condition of Blockchain system investment. We simulated and analysed the products’ lifecycle information sharing effort cost factor, the influence of price sensitivity coefficient, and expected profits of the supplier and retailer. The study results show that the product lifecycle information sharing effort under the Blockchain system increases the profit of the whole chain and decreases with the increase of customer’s price sensitivity coefficient.

Ontology-driven Information Sharing Mechanism in Supply Chain Environment*

2011 ◽  
Vol 6 (3) ◽  
pp. 217-225
Author(s):  
Wei Shi ◽  
Hongwei Wang ◽  
Pei Yin ◽  
James N.K. Liu
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Information Sharing Mechanism

Tobacco Industry Collaborating Supply Chain Research and Strategy

2012 ◽  
Vol 268-270 ◽  
pp. 2035-2039
Author(s):  
Zhi Hua Zhang ◽  
Shou Wen Ji ◽  
Zhao Zhao Yu ◽  
Ying Tian ◽  
Yang Hua Gao
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Network Structure ◽  
Tobacco Industry ◽  
Implementation Strategies ◽  
Information Sharing Mechanism

The paper analyzes the network structure and characteristics of China’s tobacco industry supply chain and proposes the framework of Collaborating Supply Chain based on information sharing mechanism. At last, the paper supposes some implementation strategies.

scholarly journals Strategic Information Sharing in a Dynamic Supply Chain with a Carrier under Complex Uncertainty

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Heng Du ◽  
Ye Jiang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Lead Time ◽  
External Environment ◽  
Market Demand ◽  
Strategic Information ◽  
Agent Based ◽  
Adaptive Agent ◽  
Shared Information ◽  
Information Sharing Mechanism

Whether to use an information sharing mechanism is investigated in a dynamic supply chain, where one manufacturer, one carrier, and one retailer are faced with uncertain yield, demand, and lead time during multiple periods. Each member is modeled as an adaptive agent based on multiagent technique, and their decisions can be adjusted timely to adapt to external environment. There are two choices for the whole supply chain to deal with uncertain risks: information sharing (IS) or no information sharing (NS). Under strategy IS, the information about market demand and the retailer’s inventory can be shared within the supply chain. For each strategy, the effects of yield, demand, and lead time uncertainties on costs of the supply chain and channel members are studied. It is found that (i) it is rewarding for the upstream manufacturer to use a retailer’s shared information under uncertain yield or demand; (ii) however, information sharing (IS) strategy sometimes should be abandoned for other members and the whole supply chain; (iii) counterintuitively, the increase of transportation time uncertainty benefits the retailer.

The Information Sharing Mechanism of the Supply Chain of Chained Enterprises Based on E-Commerce

2011 ◽  
Vol 204-210 ◽  
pp. 1603-1606 ◽  
Author(s):  
Wei Jie Guo ◽  
Huan Qi ◽  
Qiu Jun Guo
Keyword(s):  
Game Theory ◽  
Supply Chain ◽  
Information Sharing ◽  
Incentive Model ◽  
The Game Theory ◽  
Information Sharing Mechanism ◽  
The Given

Effective information sharing mechanism is a very important part of the supply chain. For the supply chain of chained enterprises based on e-commerce, we use the game theory to analyze the necessity of information sharing. The incentive model of information sharing for the participators of the supply chain is proposed based on the given cost and weighing of each participator.

scholarly journals Coordination Model of Consumer Information Sharing in the Online Tourism Supply Chain

2021 ◽  
Vol 4 (6) ◽  
pp. 1-9
Author(s):  
Honglian Guo ◽  
Xuexue Zhang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Consumer Information ◽  
Effort Level ◽  
Coordination Model ◽  
The Core ◽  
Maximum Profit ◽  
Decentralized Decision Making ◽  
Tourism Supply Chain

This is a study of the coordination model of consumer information sharing in the tourism supply chain with e-commerce platforms as the core. On the basis of considering the risks, a game theory is used to explore the information sharing effort level and the output profit of the tourism supply chain under both, centralized decision-making and decentralized decision-making. Finally, numerical simulation is used to verify the model and put forward a method of coordination for all parties in the tourism supply chain to achieve maximum profit.

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