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We consider a queue fed by a large number, say n, of on-off sources with generally distributed on-and off-times. The queueing resources are scaled by n: the buffer is B=nb and link rate is C=nc.The model is versatile: it allows us to model both long range dependent traffic (by using heavy-tailed...
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Managing sustainable supply chain operations in dynamic three-dimensional (3D) environments is a significant challenge. Unmanned Aerial Vehicles (UAVs) offer transformative solutions to supply chains. This study aims to enhance sustainable supply chain management by considering new opportunities...
Persistent link: https://www.econbiz.de/10015325170
In this paper we deal with a common problem found in the operations of security and preventive/corrective maintenance services: that of routing a number of mobile resources to serve foreseen and unforeseen tasks during a shift. We define the (Mobile Re-Allocation Problem) MRAP as the problem of...
Persistent link: https://www.econbiz.de/10012755248
On-time last-mile delivery is expanding rapidly as people expect faster delivery of goods ranging from grocery to medicines. Managing on-time delivery systems is challenging because of the underlying uncertainties and combinatorial nature of the routing decision. In practice, the efficiency of...
Persistent link: https://www.econbiz.de/10012886345
In this paper, we developed and analyzed a dynamic model of the vehicle routing problem. In the stated model, a vehicle with adequate volume travels at a constant velocity in a bounded plane to provide services to independent and uniformly distributed demands. The dynamic demands arrive...
Persistent link: https://www.econbiz.de/10013133381
In this paper we consider a Jackson type queueing network with unreliable nodes. The network consists of m ∞ nodes, each node is a queueing system of M/G/1 type. The input flow is assumed to be the Poisson process with parameter Λ(t). The routing matrix {r_ij} is given, i, j=0,1,...,m,...
Persistent link: https://www.econbiz.de/10013309886
This paper studies service systems with gatekeepers who diagnose a customer problem and then either refer the customer to an expert or attempt treatment. The probability of successful treatment by a gatekeeper decreases as the problem's complexity increases. We determine the optimal staffing...
Persistent link: https://www.econbiz.de/10014067161