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A Process Modeling Approach to Evalu...

Bonzo, Arden.

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A Process Modeling Approach to Evaluating Worker Requirements for Sexual Assault Evidence Testing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Process Modeling Approach to Evaluating Worker Requirements for Sexual Assault Evidence Testing./
作者:	Bonzo, Arden.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	40 p.
附註:	Source: Masters Abstracts International, Volume: 82-06.
Contained By:	Masters Abstracts International82-06.
標題:	Public policy. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28156649
ISBN:	9798698591627

A Process Modeling Approach to Evaluating Worker Requirements for Sexual Assault Evidence Testing.
Bonzo, Arden.

A Process Modeling Approach to Evaluating Worker Requirements for Sexual Assault Evidence Testing. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 40 p.

Source: Masters Abstracts International, Volume: 82-06.

Thesis (M.S.)--Rochester Institute of Technology, 2020.

This item must not be sold to any third party vendors.

In recent years, over 100,000 untested sexual assault kits (SAKs) have been discovered in the custody of law enforcement and awaiting testing at publicly funded facilities. The backlog has been attributed to law enforcement discretion and a lack of resources at testing facilities. In response to the backlog, states have adopted various policies for testing SAKs. 11 states have adopted comprehensive policies, mandating testing of all backlogged and incoming kits, in addition to annual inventories, updated tracking systems, and increased funding for testing programs. 30 states have adopted "limited" policies and 4 states have proposed policy reforms. This research attempts to develop a process-modeling approach to SAK testing through a case study with Monroe County Crime Laboratory (MCCL). A model was created using Simio, a discrete-event simulation software, to assess the current state of the testing process within the facility, which was then modified to analyze various staffing levels and relative demand levels probabilistically determined by uniform distribution. This experiment resulted in 15 acceptable scenarios, given the New York State 90-day testing mandate for incoming SAKs, and a number of policy recommendations. Based on this research, jurisdictions with extremely low demand (relative demand < 3) are not recommended to assign full-time staff solely to SAK testing because all scenarios result in low worker utilization levels. There are also no scenarios which yields acceptable worker utilization for a staff of 10 or more full-time or full-time equivalent employees, assuming no change in resources or technology. Overall, process modeling is a useful tool for analyzing the allocation of resources and demand constraints for SAK testing facilities.

ISBN: 9798698591627Subjects--Topical Terms:

532803
Public policy.
Subjects--Index Terms:

Sexual Assault Kit Testing

A Process Modeling Approach to Evaluating Worker Requirements for Sexual Assault Evidence Testing.
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520 $a In recent years, over 100,000 untested sexual assault kits (SAKs) have been discovered in the custody of law enforcement and awaiting testing at publicly funded facilities. The backlog has been attributed to law enforcement discretion and a lack of resources at testing facilities. In response to the backlog, states have adopted various policies for testing SAKs. 11 states have adopted comprehensive policies, mandating testing of all backlogged and incoming kits, in addition to annual inventories, updated tracking systems, and increased funding for testing programs. 30 states have adopted "limited" policies and 4 states have proposed policy reforms. This research attempts to develop a process-modeling approach to SAK testing through a case study with Monroe County Crime Laboratory (MCCL). A model was created using Simio, a discrete-event simulation software, to assess the current state of the testing process within the facility, which was then modified to analyze various staffing levels and relative demand levels probabilistically determined by uniform distribution. This experiment resulted in 15 acceptable scenarios, given the New York State 90-day testing mandate for incoming SAKs, and a number of policy recommendations. Based on this research, jurisdictions with extremely low demand (relative demand < 3) are not recommended to assign full-time staff solely to SAK testing because all scenarios result in low worker utilization levels. There are also no scenarios which yields acceptable worker utilization for a staff of 10 or more full-time or full-time equivalent employees, assuming no change in resources or technology. Overall, process modeling is a useful tool for analyzing the allocation of resources and demand constraints for SAK testing facilities.
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