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Shim, Jae-Hong;Choi, Kyung-Hee;Jung, Gi-Hyun
- The KIPS Transactions:PartA
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- v.10A no.3
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- pp.181-188
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- 2003
We propose a heuristic on-line scheduling algorithm for the IRIS (Increasing Reward with Increasing Service) tasks, which has low computation complexity and produces total reward approximated to that of previous on-line optimal algorithms. The previous on-line optimal algorithms for IRIS tasks perform scheduling on all tasks in a system to maximize total reward. Therefore, the complexities of these algorithms are too high to apply them to practical systems handling many tasks. The proposed algorithm doesn´t perform scheduling on all tasks in a system, but on (constant) W´s tasks selected by a predefined task selection policy. The proposed algorithm is based on task selection policies that define how to select tasks to be scheduled. We suggest two simple and intuitive selection policies and a generalized selection policy that integrates previous two selection policies. By narrowing down scheduling scope to only W´s selected tasks, the computation complexity of proposed algorithm can be reduced to O(Wn). However, simulation results for various cases show that it is closed to O(W) on the average.
https://doi.org/10.3745/KIPSTA.2003.10A.3.181 인용 PDF KSCI

Diez, Maria Angeles
- Journal of the Korean Academic Society of Industrial Cluster
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- v.1 no.1
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- pp.1-15
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- 2007
Regional innovation and cluster policies are the new agenda of regional policy, an agenda that began to spread over recent years throughout different countries and regions. In this context, our main question arises: how are we going to evaluate regional innovation and cluster policies? What models and methods are we going to use? Since 1990, regional and national governments have put more emphasis on evaluation as a tool directed to produce knowledge to design better policies. The objective of this article is to summarise the main challenges arising from the evaluation of regional innovation and cluster policies and make some methodological proposals that can contribute to produce better evaluations. In the first section, there is a brief presentation of regional innovation and cluster policies, followed by a more detailed analysis, in the second section, of their principal characteristics and of the main challenges posed by their evaluation. In the third section, some evaluation proposals that can help to improve current evaluation practice are presented. The paper concludes with a short number of general recommendations that we should bear in mind when designing an evaluation of regional innovation and cluster policies.
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Son, Bo-Sik;Park, Moon-Seo
- Proceedings of the Korean Institute Of Construction Engineering and Management
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- 2006.11a
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- pp.74-79
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- 2006
Generally, policymakers have a tendency to target achieving individual policy goals rarely considering their effects as a whole. In addition, the conventional policymaking practice lacks considerations on the various needs of industry participants and their response to public policies. To address this issue, a system dynamics model as a simulation model-based approach, which can examine the effectiveness of public policies in a systematic manner, is presented with an application example of the Singaporean government's policies to enhance construction productivity. Using this simulation model, the governmental policies are tested in a qualitative manner. Having obtained policy implications from the model structure and simulation results, suggestions and guidelines are provided to make the governmental policies more effective. Finally, based on the research findings it is concluded that the simulation model-based approach could be useful for construction policymaking.
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