Periodic review (s, S) policies for joint replenishment inventory systems
Management Science
Information infrastructure for electronic virtual organization management
Decision Support Systems - Special issue: intranets and intranetworking
A sales agent for part manufacturers: VMSA
Decision Support Systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Make to Order or Make to Stock: Model and Application
Management Science
Fill Rates of Single-Stage and Multistage Supply Systems
Manufacturing & Service Operations Management
Knowledge discovery for adaptive negotiation agents in e-marketplaces
Decision Support Systems
An application of agent-based simulation to knowledge sharing
Decision Support Systems
Adaptive conceding strategies for automated trading agents in dynamic, open markets
Decision Support Systems
Soft Due Window Assignment and Scheduling on Parallel Machines
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Dynamically Integrated Manufacturing Systems (DIMS)—A Multiagent Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Supply chain formation using agent negotiation
Decision Support Systems
Strategic alliance via co-opetition: Supply chain partnership with a competitor
Decision Support Systems
Robotics and Computer-Integrated Manufacturing
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Supply chains need to be flexible and adaptive because their operations are always subject to a variety of uncertainties like customer demand and supplier capacity, particularly for Make-to-Order (MTO) supply chains since their flow of materials is only triggered by customer orders. The main objective of this paper is to study how flexibility and adaptability in delivery quantity and due date can improve the performance in a network of two-level multi-product MTO supply chains. Effect of uncertain customer demand and also supplier capacity, and supplier's capacity utilization are studied. Flexibility and adaptability are realized based on two proposed coordination mechanisms. Agent-based simulation is employed in this study to model the operations of supply chains. Performance of the system is measured in terms of a number of cost items and customer demand fill rate. Simulation results indicate that introduction of such flexibility and adaptability can improve the aforementioned performance. However, there is a trade-off in selecting the coordination mechanism between adaptability and flexibility subject to capacity utilization. Details and concluding remarks are discussed in this paper.