Deciding which queue to join: Some counterexamples
Operations Research
Comparison of policies for routing customers to parallel queueing systems
Operations Research
Optimality of routing and servicing in dependent parallel processing systems
Queueing Systems: Theory and Applications
The Complexity of Optimal Queuing Network Control
Mathematics of Operations Research
Optimal Control: Basics and Beyond
Optimal Control: Basics and Beyond
Introduction to Stochastic Dynamic Programming: Probability and Mathematical
Introduction to Stochastic Dynamic Programming: Probability and Mathematical
The Challenge of Closed-Loop Supply Chains
Interfaces
Optimal Routing In Output-Queued Flexible Server Systems
Probability in the Engineering and Informational Sciences
Dynamic routing of customers with general delay costs in a multiserver queuing system
Probability in the Engineering and Informational Sciences
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This paper deals with the dynamic routing of product returns in distinguishable parallel queues. Several vendors alongside an original equipment manufacturer are available in provision of remanufacturing service. Each has its own queue. The stream of the product returns follow a stochastic process. A central controller is employed to decide to which vendor an incoming product is sent to avoid excessive queues in front of some vendors and idle servers in the others. We develop models and index-based heuristics to support the dynamic routing decisions so as to minimize the overall recovering costs. The product concerned exemplifies a short-life cycle due to, for example, technology advance. Long delay during the remanufacturing process will render a substantial deterioration of reselling prices. Hence, in the paper we contend that the cost incurred for remanufacturing a product should take explicit account of the impact of long delays in the lead time. Both theoretical and simulation studies demonstrate the effectiveness of the Restless Bandit approach deployed to the dynamic routing of product returns among multiple vendors.