Jan C.W. van Ommeren
University of Twente
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Featured researches published by Jan C.W. van Ommeren.
Surface Science | 2009
Jasper Goseling; Richardus J. Boucherie; Jan C.W. van Ommeren
We show the close relation between network coding and queuing networks with negative and positive customers. Moreover, we develop Markov reward error bounding techniques for networks with negative and positive customers. We obtain bounds on the energy consumption in a wireless information exchange setting using network coding.
Probability in the Engineering and Informational Sciences | 2014
Ahmad Al Hanbali; Roland de Haan; Richardus J. Boucherie; Jan C.W. van Ommeren
In this paper, we analyze the end-to-end delay performance of a tandem queueing system with mobile queues. Due to state-space explosion, there is no hope for a numerical exact analysis for the joint-queue-length distribution. For this reason, we present an analytical approximation that is based on queue-length analysis. Through extensive numerical validation, we find that the queue-length approximation exhibits excellent performance for light traffic load.
Probability in the Engineering and Informational Sciences | 2017
Richardus J. Boucherie; Geert-Jan van Houtum; Judith B. Timmer; Jan C.W. van Ommeren
We consider a single-item, two-echelon spare parts inventory model for repairable parts for capital goods with high down time costs. The inventory system consists of a central warehouse and multiple local warehouses, from where customers are served, and a central repair facility at an external supplier. When a part fails at a customer, his request for a ready-for-use part is immediately fullled by his local warehouse if it has a part on stock. At the same time, the failed part is sent to the central repair facility for repair. If the local warehouse is out of stock, then, via an emergency shipment, a ready-for-use part is sent from the central warehouse if it has a part on stock. Otherwise, it is sent via a lateral transshipment from another local warehouse or the external supplier. We assume Poisson demand processes, generally distributed leadtimes for replenishments, repairs, and emergency shipments, and a base-stock policy for the inventory control. Because our inventory system is too complex to solve for a steady-state distribution in closed form, we approximate it by a network of Erlang loss queues with so-called hierarchical jump-over blocking. We show that this network has a steady-state distribution in product-form. Further, this steady-state distribution and several relevant performance measures only depend on the distributions for the repair and replenishment lead times via their means (i.e., they are insensitive for the underlying probability distributions). The steady-state distribution in product-form enables an ecient heuristic for the optimization of base-stock levels, resulting in good approximations of the optimal costs.
performance evaluation methodolgies and tools | 2016
Maurits de Graaf; Richardus J. Boucherie; Johann L. Hurink; Jan C.W. van Ommeren
We present an average case analysis of the minimum spanning tree heuristic for the power assignment problem. The worst-case approximation ratio of this heuristic is 2. We have the following results: (a) In the one-dimension\-al case, with uniform
Memorandum / Department of Applied Mathematics | 2011
Jasper Goseling; Richardus J. Boucherie; Jan C.W. van Ommeren
\left[ 0,1 \right]
Memorandum (institute of Pacific Relations, American Council) | 2012
Niek Baër; Richardus J. Boucherie; Jan C.W. van Ommeren
-distributed distances, the expected approximation ratio is bounded above by
Memorandum (institute of Pacific Relations, American Council) | 2012
Jasper Goseling; Richardus J. Boucherie; Jan C.W. van Ommeren
2 - 2/(\myp+2)
Memorandum Faculty of Mathematical Sciences | 2009
Roland de Haan; Ahmad Al Hanbali; Richardus J. Boucherie; Jan C.W. van Ommeren
, where
Memorandum (institute of Pacific Relations, American Council) | 2013
Nishant Mishra; Debjit Roy; Jan C.W. van Ommeren
\myp
Memorandum (institute of Pacific Relations, American Council) | 2013
Niek Baër; Ahmad Al Hanbali; Richardus J. Boucherie; Jan C.W. van Ommeren
denotes the distance power gradient. (b) For the complete graph, with uniform