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This report documents a computer program called the Patrol Car Allocation Model (PCAM85), which is designed to help police departments determine the number of patrol cars to have on duty in each of their geographical commands. It tells a department how to match its resources to the time-varying pattern of demands based on desired levels of performance, manpower schedules, and dispatching policies. This volume provides file specifications, installation instructions, and a listing of the program; the Executive Summary (R-3087/1-NIJ) describes PCAM in nontechnical terms; and the User's Manual (R-3087/2-NIJ) gives complete instructions for collecting data and operating the program. PCAM85 is a modernized version of a program that was written in 1975 and is documented in reports of identical titles numbered R-1786/1, R-1786/2, and R-1786/3.
This report describes the Patrol Car Allocation Model (PCAM85), a computer program to assist police agencies determine the number of patrol cars to have on duty in each geographic command at different times of the day and week; a user's guide to PCAM is included. Descriptions of the capabilities and uses of the model encompass typical applications, the role of judgment in using PCAM, and the major differences between PCAM75 and PCAM85 (PCAM85 is a modernized version of the original model developed in 1975). The discussion reviews general operation principles, preparation of a data base, data required for each patrol hour, calculation of performance measures, and prescriptive calculations. The user's guide to PCAM opens with an overview of program operation and then specifies how to enter commands, command format conventions, program vocabulary, and command definitions. The guide also explains error conditions and selecting an objective function. The appendixes contain information on PCAM's calculations, PCAM reference sheets, and addresses for further information. A glossary, 19 figures, and a 40-item bibliography are also provided.
This report documents a computer program called the Patrol Car Allocation Model (PCAM85), which is designed to help police departments determine the number of patrol cars to have on duty in each of their geographical commands. It tells a department how to match its resources to the time-varying pattern of demands based on desired levels of performance, manpower schedules, and dispatching policies. This volume gives complete instructions for collecting data and operating the program; the Executive Summary (R-3087/1-NIJ) describes PCAM in nontechnical terms; and the Program Description (R-3087/3-NIJ) provides file specifications, installation instructions, and a listing of the program. PCAM85 is a modernized version of a program that was written in 1975 and is documented in reports of identical titles numbered R-1786/1, R-1786/2, and R-1786/3.
This report discusses resource allocation issues that affect patrol operations and demonstrates some of the mechanisms available for resolving them. The authors suggest that managers use the report to select the method most suited to their department's situation. Specifically, the report focuses on calculating the number of patrol officers needed to satisfy departmental service-delivery objectives and distributing those personnel across shifts and geographic boundaries. The report's five chapters are organized to guide the reader through the processes involved in patrol planning, from issue development through the resolution of single and multiple issues and modification of the patrol plan. Also addressed are the concept and benefits of patrol planning, fundamentals of analyzing a patrol plan, analytical techniques, and key planning steps for resolving resource allocation issues. Exhibits and tables are included. Additional sources of information are appended.
This volume is intended to expand the dialogue and interest among both practitioners and academicians in a problem area worthy of attention by all. The concept of disaggregation admits to our current inability to solve many types of interrelated hierarchical problems simultaneously. It offers instead a sequential, iterative process as a workable and necessary procedure. The papers in this volume are selected from those presented at a Disaggregation Conference held in March, 1977 at The Ohio State University. We heartily applaud all those who participated in the conference and particularly appreci ate the cooperation of those authors whose work is published in this collection. Part A contains four papers which define the various dimensions of disaggregation. The paper by Martin Starr, which was the text of his luncheon address at the conference, provides several interesting perspectives to the problem. Although disaggregation suggests tear ing apart, as Professor Starr illustrates with his butterfly example, it also suggests a putting together or a synthesis which recognizes interrelationships and dependencies. The next paper by Lee Kra jewski and Larry Ritzman offers a general model of disaggregation for both the manufacturing and service sectors. After reading the papers in this section, as well as the papers in subsequent sections, you will identify other dimensions to hierarchical decision making which go beyond this generalized model.