• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.31-40
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• 2004

Ever since the CM was implanted in a domestic construction in 1996, it has been needed to take root and activate the CM system as soon as possible. Especially, the applied CM to private construction sector could be a fundamental barometer that how much changed and being advanced the construction system is This means, it is easy to apply CM to a governmental construction, yet it is hard to expect to successfully fix and activate CM for a private construction project unless they admit the necessity and validity of CM. Dongbu Corporation already acknowledged the need of CM in a private enterprise and willingly applied it to a construction sector while building Dongbu financial center, even before the CM was implanted to this country Therefore, this study suggests that the developmental direction of practical CM by examining effects and problems of the CM process.

• Journal of Korean Society for Quality Management
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• v.36 no.2
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• pp.28-35
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• 2008

This study deals with an Excel-based scheduling system for a small and medium sized manufacturing factory without sufficient capability for managing full-scale information systems. The factory has the bottleneck with identical machines and unique batching characteristics. The scheduling problem is formulated as a variation of the parallel-machine scheduling system. It can be solved by a two-phase method: the first phase with an ant colony optimization (ACO) heuristic for order grouping and the second phase with a mixed integer programming (MIP) algorithm for scheduling groups on machines.

• Management Science and Financial Engineering
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• v.18 no.2
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• pp.5-11
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• 2012

In this paper, stochastic scheduling problems are considered when processing times and due dates follow arbitrary distributions and due dates are either common or exchangeable. For maximizing the expected number of early jobs, two policies, one, based on pairwise comparisons of the processing times, and the other, based on survivabilities, are introduced. In addition, it is shown that the former guarantees optimal solutions when the processing times and due dates are deterministic and that the latter guarantees optimal solutions when the due dates follow exponential distributions. Then a new approach, exploiting the two policies, is proposed and analyzed which turns out to give better job sequences in many situations. In fact, the new approach guarantees optimal solutions both when the processing times and due dates are deterministic and when the due dates follow exponential distributions.