Topic
Goal programming
About: Goal programming is a research topic. Over the lifetime, 4330 publications have been published within this topic receiving 117758 citations.
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TL;DR: Several goal programming models for estimating the performance measure weights of firms by means of constrained regression are proposed and the use of GP for implementing two quite different strategies: overweighting the measures in line with the general trend or overweighted the measures that conflict with the rest is proposed.
51 citations
01 Jan 1996
TL;DR: Two methods for evaluating the relative efficiency with which each individual resource input is utilised at each organizational unit are presented.
Abstract: Consider a set of decision-making units (DMUs, e.g. branches, departments, firms) which employ a variety of resources to produce multiple outputs. The units being compared may be in the public sector e.g. health or education, so that the outputs and inputs need not be measured in monetary terms. We present two methods for evaluating the relative efficiency with which each individual resource input is utilised at each organizational unit. We therefore end up with a set of scores for each DMU i.e. a profile rather than a single overall score. Unlike conventional DEA (data envelopment analysis) a large data set is not required and the discriminatory power is shown to be higher.
51 citations
TL;DR: In this article, the combination of a manpower supply model (a Markov type model based on historical probabilities of losses, promotions and gains) and goal programming with preemptive priorities provides a useful tool for developing a future year manpower plan under conflicting socio-econo-organizational objectives.
Abstract: The combination of a manpower supply model (a Markov type model based on historical probabilities of losses, promotions and gains) and goal programming with preemptive priorities provides a useful tool for developing a future year manpower plan under conflicting socio-econo-organizational objectives. Successful utilization requires a close management involvement in adjusting probabilities and specifying goals, priorities and impending policy changes. Such an approach is presented in this paper and illustrated by means of an industrial case study example. The presentation is kept simple, yet detailed and unified, so that is is easily understood by practitioners and students of operational research/management science.
51 citations
TL;DR: The result indicates that the throughput-maximizing strategy does not always yield minimum spillovers for oversaturated networks and occasionally provides a larger difference in average link delay at a spillover intersection than the proposed model does.
Abstract: This paper presents a new methodology for optimizing the signal timing controls of oversaturated networks based on the cell transmission model and a goal programming technique with multiple objectives. The proposed model accounts for intersection spillovers, equity in delays, and system throughputs. This new formulation is solved by genetic algorithms to obtain signal timing plans. A case study with a nine-intersection network and a comparison between the proposed model and the throughput-maximizing strategy are examined. It is found that the new method can efficiently minimize spillovers, balance delay equity, and provide reasonable system throughputs in their respective order for oversaturated networks. The result also indicates that the throughput-maximizing strategy does not always yield minimum spillovers for oversaturated networks and occasionally provides a larger difference in average link delay at a spillover intersection than the proposed model does.
51 citations
TL;DR: In this article, a goal programming model based on an environmental/input-output linear programming model is developed and applied to the Spanish economy, combining relations between economic, energy, social and environmental effects, providing valuable information for policy-makers in order to define and examine the different goals that must be implemented to reach sustainability.
51 citations