Decision support for target-based resource allocation of public services in multiunit and multilevel systems

Article Abstract:

A target-based resource allocation (TABRA) model is presented as a way to connect performance measurement and resource allocation in multiunit multilevel organizations (MULOs). A combination of data envelopment analysis and goal programming methods were applied. A principal-agent concept was applied with central and decision-making unit management as the principal and agent, respectively. TABRA was developed from a goal programming model that finds the effect of individual agents with regards to marginal rates of conversion between inputs and outputs of the operation, the impact of the principals with regards to global performance goals and the modeling of the measures of equitable distribution. Said model was demonstrated through a sample of 20 fire departments.

Administration of Human Resource Programs (except Education, Public Health, and Veterans' Affairs Programs), Fire Protection-Local, Fire Protection, Public Services Administration, Data envelopment analysis, Decision support systems, Goal setting

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Bottleneck resource allocation in manufacturing

Article Abstract:

Bottleneck resource-allocation models are applicable to manufacturing and service operations that involve selecting integer-valued levels for different activities vying for limited, common resources to optimize the minimum return or productivity over all the activities. These models are useful for such activities as line balancing, raw material allocation, maintenance planning and storage allocation. The bisection method is proposed as a solution to complex planning problems in multiproduct assemble-to-forecast environments with part commonality. This approach is simple and versatile. It can deal with a broad range of discrete, monotonic bottleneck resource-allocation problems with additional side constraints and auxiliary variables.

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The fair and efficient division of the Winsor family silver

Article Abstract:

A formal, decentralized technique was used to allocate silver heirlooms among eight family members without making direct monetary payments. A von Neumann-Morgenstern utility function was used to represent each heir's preferences for the silver objects. The allocations were made is if they were in a market for probability shares in the items, assuming that each family member made optimal purchasing decisions with a fixed amount of an artificial currency. The allocations were considered fair by the family members.

Management science, Distribution of decedents' estates

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