The lack of adequate information for logistics decisions and
evaluating is a major problem for management. This article describes how
linear programming is used to provide methodology to evaluate decisions
and system performance without the availability of cost and other data.
A simple application to logistics systems is discussed and its
application to an actual problem is described.
A process was designed to identify what total quality skills should be included in the authors curriculum and howto deliver them. Customer data led the authors to change their focus toward exploring and assessing what they do in the entire curriculum. The emphasis on learning outcomes is a theme in American Assembly of Collegiate Schools of Business and education reform. The authors summarize things learned that may help others avoid certain pitfalls and build on the authors progress to date.
There has been little empirical research investigating the performance differences between family‐owned and non‐family‐owned businesses. This study investigated differences in efficiency between family‐owned and non‐family‐owned nursing homes in the State of Oregon, as defined and identified by data envelopment analysis (DBA) and by selected traditional financial measures. More family‐owned nursing homes than non‐family‐owned homes were identified as inefficient, and family‐owned nursing homes were found to have significantly fewer assets and more liabilities than non‐family‐owned homes. Suggested reasons for the results are discussed.
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