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.

Information Sharing Strategies in Business-to-Business E-Hubs

2012 ◽  
pp. 72-93
Author(s):  
Yifeng Zhang ◽  
Siddhartha Bhattacharyya
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Chain Structure ◽  
Agent Based ◽  
Key Factor ◽  
Supply Chain Structure ◽  
Hub Model ◽  
Business To Business ◽  
Practical Implications

Studies show that supply chain structure is a key factor affecting information sharing. Business-to-business (B2B) e-hubs have fundamentally changed many companies’ supply chain structure, from a one-to-many to a many-to-many configuration. Traditional supply chains typically center around one company, which interacts with multiple suppliers or customers, forming a one-to-many structure. B2B e-hubs, on the contrary, usually connect many buyers and sellers together, without being dominated by a single company, thus forming a many-to-many configuration. Information sharing in traditional supply chains has been studied extensively, but little attention has been paid to the same in B2B e-hubs. In this study, the authors identified and examined five information sharing strategies in B2B e-hubs. Agent performances under different information sharing strategies were measured and analyzed using an agent-based e-hub model and practical implications were discussed.

Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation

2019 ◽  
Vol 15 (2) ◽  
pp. 54-68 ◽  
Author(s):  
Jian Tan ◽  
Guoqiang Jiang ◽  
Zuogong Wang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Evolutionary Game ◽  
Supply Chain Network ◽  
Agent Based Simulation ◽  
Control Cost ◽  
Agent Based ◽  
Supply Chain Networks ◽  
Network Information ◽  
Sharing Behavior

In the supply chain network, information sharing between enterprises can produce synergistic effect and improve the benefits. In this article, evolutionary game theory is used to analyse the evolution process of the information sharing behaviour between supply chain network enterprises with different penalties and information sharing risk costs. Analysis and agent-based simulation results show that when the amount of information between enterprises in supply chain networks is very large, it is difficult to form a sharing of cooperation; increase penalties, control cost sharing risk can increase the probability of supply chain information sharing network and shorten the time for information sharing.

Exploring information sharing in the extended supply chain: an interdependence perspective

2015 ◽  
Vol 20 (4) ◽  
pp. 455-470 ◽  
Author(s):  
Joakim Kembro ◽  
Kostas Selviaridis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Demand Uncertainty ◽  
Analytical Framework ◽  
Content Type ◽  
Related Information ◽  
Market Shares ◽  
Shared Information ◽  
Meta Information

Purpose – This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach – Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings – The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications – The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. “Meta-information” (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications – Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value – This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.

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 Antecedents of Quality Information Sharing in the FMCG Industry

2014 ◽  
Vol 6 (12) ◽  
pp. 986-1003
Author(s):  
Thokozani Patmond Mbhele
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Information Flow ◽  
Consumer Goods ◽  
Bullwhip Effect ◽  
Relative Magnitude ◽  
Management Support ◽  
Shared Information ◽  
Managerial Implications ◽  
Mapping Information

Information sharing in a retail supply chain presents challenges of mapping information flow in terms of collection and transfer capabilities from one point to other internal and external users. Efficient mapping information flow seems to be dependent on information availability, velocity and the level of volatility. This would strengthen partnerships between the upstream and downstream sites of a supply chain in terms of information capturing, transformation and exchange between both internal and external supply chain users. This study examines the relative magnitude of advance economic information sharing in optimizing integrated supply chain activities in the consumer goods industry. It further analyses the challenges of bullwhip effect from the perspective of electronically-enabled supply chain management (eSCM) systems and information sharing in the fast moving consumer goods (FMCG) industry. The study finds that information sharing is related to supply chain performance targets in the FMCG industry in terms of a higher order fulfillment rate and achieving shorter order cycle time through integrated e-SCM systems. The managerial implications of this study are that integrated IT infrastructure capability and top management support (in terms of visible involvement, commitment and participation of executives and the allocation of the necessary resources) are significant antecedents of the quality of shared information.

scholarly journals Information sharing and leakage in the two-echelon supply chain

2019 ◽  
Author(s):  
Jingru Wang ◽  
Zhiyuan Zhen ◽  
Qiang Yan
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Information Acquisition ◽  
Information Leakage ◽  
High Signal ◽  
Market Demand ◽  
Retail Competition ◽  
Ex Post ◽  
Private Signals ◽  
Demand Information

We consider ex post demand information sharing and leakage in a two-echelon supply chain consisting of one supplier and two retailers competing in quantities. The incumbent retailer has an advantage to acquire information about the market at a cost. If he invests in information acquisition, he privately acquires a signal about the market demand. We examine the incumbent’s incentive of information acquisition and sharing, and the upstream supplier’s information leakage strategy. We confirm that the incumbent’s information acquisition and sharing decisions depend on whether the information acquisition is observable. When it is observable, the incumbent fully shares his private signals even though the shared high signal may hurt him. However, when it is unobservable, the incumbent can share the favorable signal (low signal) and withhold the unfavorable signal (high signal). Moreover, we also find that the supplier will always leak the signal to the entrant no matter what signal she acquires. In addition, we demonstrate under the information sharing and leakage strategy, it may benefit the whole supply chain when the retail competition intensity is not very large.

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