BACKGROUND Priority setting is necessary in current healthcare services. Discussion of fair process has highlighted the value of developing reasons for allocation decisions on the basis of experience gained from real cases. AIM To identify the reasons that those with experience of real decision-making concerning resource allocation think relevant in deciding on the priority of a new but expen...

Traditional cost-effectiveness analysis (CEA) assumes that program costs and benefits scale linearly with investment-an unrealistic assumption for epidemic control programs. This paper combines epidemic modeling with optimization techniques to determine the optimal allocation of a limited resource for epidemic control among multiple noninteracting populations. We show that the optimal resource ...

The fundamental statistical strategy of improving sampling efficiency through partitioning the population is applied to software testing. Usage models make it possible to apply this strategy to improve the efficiency of testing. The testing budget is allocated to the blocks of the partition, and the software is executed on the sample of uses drawn from each block or sub-population of potential ...

In this paper we consider a capacitated single allocation p-hub median problem (CSApHMP) which is to determine the location of p hubs, the allocation of non-hub nodes to hubs in the logistics network. This problem is formulated as an integer programming model with the objective of minimizing the sum of total transportation cost and fixed cost of the selected p hubs. Since the CSApHMP is NP-hard...

In this paper we consider a capacitated single allocation p-hub median problem with multiple capacity levels (CSApHMPMC) in which the decisions are to determine the location of p hubs and their capacity levels, the single allocation of non-hub nodes to hubs in the logistics network. This problem is formulated as an integer programming model with the objective of minimizing the sum of total tran...

In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains in performance have come at a cost of substantial increase in computation and model storage resources. Fixed point implementation of DCNs has the potential to alleviate some of these complexities and facilitate potenti...

Effective Bandwidth is a powerful tool in modeling bandwidth and buffer requirements for multiplexed data sources. It is often approximated that an additional service capacity equal to the effective bandwidth of the source is required for every additional data source added to the multiplexed stream given a fixed buffer size and maximum blocking probability. This implies that a multiplexing gain...

Firms routinely allocate the costs of common corporate resources down to divisions. We seek to understand whether cost allocation rules can induce efficient consumption of corporate resources in an incomplete contracting framework. We propose a new allocation rule (the polynomial rule), which achieves efficiency and approximate budget balance. We also examine conditions under which simple alloc...

This paper discusses the fixed-hub single allocation problem. In the model hubs are fixed and fully connected; and each terminal node is connected to a single hub which routes all its traffic. The goal is to minimize the cost of routing the traffic in the network. This paper presents linear programming-based algorithms that deliver both high quality solutions and a theoretical worst case bound....