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Development of a Prototype Micro Saint Model for Predicting Unit Performance as a Function of Unit Design

出版	Storming Media, 1996-03
主題	Business & Economics / Human Resources & Personnel Management
ISBN	14235740959781423574095
URL	http://books.google.com.hk/books?id=MrBgAAAACAAJ&hl=&source=gbs_api

註釋Computer simulation models that predict system and unit performance typically ignore the influence of soft factors such as personnel aptitude, training, and experience. Models being developed within the U.S. Army's MANPRINT program try to rectify this situation. The current model demonstrates the feasibility of using simulation methodology for making trade-off decisions about unit designs, such as decisions related to alternate locations, connectivities, and manning of functional communication shelters following battlefield attrition of unit assets. The model simulates performance of operations and maintenance tasks in a mobile subscriber equipment (MSE) platoon, which contains 18 communications shelters geographically dispersed to six different sites. Shelters may be linked together via cable or radio. The failure (or destruction) of a specific shelter may or may not affect the communications abilities of other shelters. In the model, the effects of shelter failures (or destructions) are represented in an effect array whose cell values are numerical codes used to simulate non-degraded, degraded, and lost communications. Shelters are represented by 18 equipment entities identified by tag values. An MSE platoon also contains 61 operators, maintainers, supporters, and supervisors. The model assigns personal identification numbers (PINs) to these personnel and uses tag values and PINs to establish shelter-personnel pairings. The pairings are set when cell values are supplied to shelter-operator and shelter-supervisor arrays. Each array contains six personnel traits: PIN of operator (or supervisor), rank, skill level, experience rating, mental category, and overall personnel quality rating. System performance and unit performance are determined by the use of hypothetical algorithms that relate personnel aptitudes and experience to model output: theh95i-0i(4bk)i-*g(*bc5hc!