Title of the Paper: Achieving Business Process
Change with Improved Business Intelligence Systems: A Case of Slovenian
Company
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Authors: Andreja Habjan, Ales
Popovic
Abstract: In
today's competitive marketplace, companies must focus scarce resources on
the strategies most likely to yield success. Business Intelligence Systems (BIS)
help them achieve this focus giving the complete vision to learn from the
past, monitor and communicate the present, and gain insight into the future.
Depending upon the level of BIS maturity companies have different
information quality they can base their decision upon. The better the
quality of information, the more sound business decisions companies can take
and also appropriately carry out business process change for improving their
performance. For all these reasons, we try to show throughout a case study,
how BIS enhancement contributed to business process improvement in a
Slovenian transport company.
Keywords: Business Intelligence Systems, Information Quality, Business
Process Change, Information Technology
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Title of the Paper:
Optimizing Containership Size and Speed: Model
Formulation and Implementation
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Authors:
Hsien-Lun Wong,
Shang-Hsing Hsieh, Chi-Chen Wang
Abstract:
One of the most important decisions for shipowners is to determine
how big a containership to order. The optimal containership problem
represents a trade-off between the cost and revenue resulting from size and
speed. In reality, there is a tendency toward increasing containership size
and speed, which is resulted from some factors related to profit. However,
most of the past studies devoted their attention to the problem from the
cost perspective. These models omitted the effect of ship speed on profit,
and might result in inadequate solutions to the problem. Based on the
cost-volume-profit analysis, a nonlinear programming model is formulated to
approach the problem. The objective function is a strictly concave function
with a globally unique optimal. An example of the Trans-Pacific Route is
employed to test the model’s formulation. The results provide shipowners
with a beneficial reference for planning deployment and routing of big
containerships.
Keywords: Optimal containership;
nonlinear programming; ship speed; concave function
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