Analytic procedures for optimizing engineering task integration topologies
Decision Support Systems
Distributed decision-making using the contract net within a mediator architecture
Decision Support Systems - Special issue: intelligent agents as a basis for decision support systems
Information Flows in Capacitated Supply Chains with Fixed Ordering Costs
Management Science
The Join/Leave/Remain (JLR) decision in collaborative networked organizations
Computers and Industrial Engineering
Modeling the benefit of e-recruiting process integration
Decision Support Systems
Capacity investment decision in co-opetitive network by information sharing
Computers and Industrial Engineering
A decision support methodology for dynamic taxiway and runway conflict prevention
Decision Support Systems
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This research is motivated by the arbitrary nature of customer orders and dynamic changes of demand patterns and the ability to overcome such uncertainty by enterprise collaboration. Such collaboration is an attractive strategy, and a set of enterprises can form a beneficial collaborative network. In a collaborative network of enterprises (CN), each enterprise is a self-operative organization, and enterprise collaboration needs to be carefully controlled to achieve mutual benefits. In this research, therefore, demand and capacity sharing protocols have been designed to find efficient demand and capacity sharing decisions in the CN. New protocol models are developed and numerical examples indicate that enterprise collaboration by the proposed demand and capacity sharing decisions and protocols can significantly increase the demand fulfillment rate and the total profit of the CN. While complete collaboration can increase the demand fulfillment rate, partial collaboration by design is preferred in terms of the total profit of the CN under certain conditions. It is found that a certain level of enterprise collaboration is required to maximize the total profit of the CN.