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1 – 2 of 2Thomas J. Crowe, Pekying Meghan Fong, Todd A. Bauman and José L. Zayas‐Castro
With risk defined as the possibility of deviation in the results from the expected goals, business process reengineering (BPR) initiatives clearly involve risk taking. However…
Abstract
With risk defined as the possibility of deviation in the results from the expected goals, business process reengineering (BPR) initiatives clearly involve risk taking. However, due to the high expected returns of such efforts, the acceptable risk levels of BPR will tend to be greater than those of less ambitious projects. This research reports the development of a tool to quantitatively estimate the potential risk level of a BPR effort before an organization commits its resources to that effort. The underlying research employed a survey of BPR‐experienced organizations to collect assessment information in order to build a BPR risk estimation model. The developed tool uses triangular fuzzy numbers to approximate the degree of success/failure of proposed BPR initiatives. The tool can be applied by any organization contemplating BPR, thus giving such organizations a heretofore unavailable estimate of the risk level of proposed BPR efforts. Validation was performed based upon an 18‐month BPR project conducted at the Missouri Lottery.
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Pranav J. Deshpande, Ali Yalcin, José Zayas‐Castro and Luis E. Herrera
Recent surveys indicate that transportation companies are not utilizing technology in decision making despite growing complexity of transportation systems. This paper aims to…
Abstract
Purpose
Recent surveys indicate that transportation companies are not utilizing technology in decision making despite growing complexity of transportation systems. This paper aims to present a discrete simulation approach to benchmarking performance measures of terminal operations of less‐than‐truckload (LTL) freight carriers.
Design/methodology/approach
The methodology involves design of heuristics for the dock assignment problem and uses discrete event simulation to evaluate performance of the various heuristics.
Findings
Intelligent dock assignment for incoming trailers can greatly improve performance of LTL terminals and simulation is an effective tool to determine the effects of various assignments on terminal performance.
Originality/value
The paper introduces a dock assignment heuristic and integrates the tactical level decision‐making process and operational aspects in LTL terminals to evaluate the performance of the system. A case study is used to demonstrate the use of the heuristic and performance improvements.
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