| The purpose of this study is to introduce a new staffing allocation model for a bank branch network, using Data Envelopment Analysis (DEA) and compare the results to those from the Bank's own system. The Bank's system methodology is based on complex index calculations and has sufficient complexity to be comparable to DEA; hence, the validation is of real relevance to management. The Bank's approach is to identify an “efficiency band” that shows the efficient branches, as well as those that are “overstaffed ” and “understaffed”. In DEA sense, the most efficient branches are “understaffed” (working “too hard”), so additional staff may be required. “Overstaffed” branches are identified in the usual way. An evaluation or validation of their system as well as some improvements seem desirable for the Bank. The DEA model proposed monitors the Bank branch network efficiency and identifies the best practices of efficient branches; classified in two size categories: “small” and “large” branches. (Abstract shortened by UMI.)... |
