EFFECTIVE PLANNING AND ALLOCATION OF FIRE PREVENTION MANPOWER A THESIS Presented to The Faculty of the Division of Graduate Studies and Research by David Michael Miller In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the School of Industrial and Systems Engineering Georgia Institute of Technology November, 1973 EFFECTIVE PLANNING AND ALLOCATION OF FIRE PREVENTION MANPOWER Approved: Russell G. Heikes j P C James C. SnyderU Date approve! by Chairman: ACKNOWLEDGMENTS The successful completion of this research was aided by the con tribution and assistance of several people. I am especially indebted to my advisor, Dr. David E. Fyffe, for his encouragement and guidance throughout my graduate program. He has made a significant contribution to the "learning experience" in my graduate education. I am also indebted to Drs. Paul S. Jones, Russell G. Heikes, and James C. Snyder for their critique of the research and their helpful comments. This research could never have been conducted without the coopera tion and participation of the Atlanta Fire Department. Every member of the department contributed to the research effort. However, I am par ticularly grateful to Chief P.O. Williams and Chief J. B. Gossett for their continuous support and assistance. Also, special thanks must go to all members of the Fire Prevention Bureau for their efforts in data gathering and education of this author. Finally, I would like to acknowledge the contribution to the research of my wife, Jennie. Her patience and support throughout my graduate program were essential, and for this I am extremely grateful. iii TABLE OF CONTENTS Page ACKNOWLEDGMENTS . ii LIST OF TABLES vi LIST OF ILLUSTRATIONS vii SUMMARY viii Chapter I. INTRODUCTION 1 Purpose Problem Approach Scope Presentation II. BACKGROUND The Atlanta Fire Service System Fire Extinguishment Operations Planning Problems Fire Prevention Operations Planning Problems Relevant Literature The Research Project Purpose Scope Activities Modelling Data Collection Data Analysis III. PLANNING PROBLEMS Determination of Inspection Rates Criteria Constraints iv Chapter Page III. PLANNING PROBLEMS (Continued) Determination of Inspection Districts Criteria Constraints Determination of a Schedule for Inspections Criteria Constraints Interelationship of Problems IV. DETERMINATION OF INSPECTION EFFECTIVENESS 47 Effectiveness Measure Estimation of Effectiveness Model of Fire Incidence Estimation of Model Parameters Objective Estimate Subjective Estimate Combining Objective and Subjective Estimates Effectiveness Function V. DETERMINATION OF INSPECTION RATES AND INSPECTION DISTRICTS . . .. 81 Model Modelling Approach Notation Mathematical Model Solution Procedure Approach Algorithm VI. DETERMINATION OF A SCHEDULE FOR ROUTINE INSPECTIONS. . . . Model Notation Mathematical Model Solution Approach Weekly Updating VII. APPLICATION OF RATE-DISTRICT MODEL TO ATLANTA 127 Parameterization of Model Approach Interrelationship of Data Sources Solution Results Use of Model and Results V Chapter Page VIII. RESULTS AND CONCLUSIONS 146 Summary Conclusions and Recommendations Extensions APPENDIX I 154 APPENDIX II 165 APPENDIX III 169 BIBLIOGRAPHY . 175 VITA 178 vi LIST OF TABLES Table Page 1. Solution Inspection Frequencies 14-2 2. Fire Count from Historical Data 166 3. Fire Count from Experimental Data 166 4. Effectiveness Function Slopes 168 5. Model Parameters . 171 6. Current District Assignments 172 7. Proposed District Assignments 173 8. Census Tract Numbering System • 174 vii LIST OF ILLUSTRATIONS Figure Page 1. Organization Chart for the Atlanta Fire Department. . . .. 8 2. Current Inspection Districts in the City of Atlanta . . .. 32 3. Examples of Piece-Wise Linear Approximation of Effectiveness Function 76 4. Determination of Effectiveness Function 80 5. Flow Diagram of Districting Procedure 112 6. Allocation Matrix for Scheduling Problem 121 7. Parameter Estimation Routines and Data Sources 139 8. Solution Inspection Districts 143 9. Current Inspection Districts 144 10. Coding Form for Inspections 156 11. Coding Form for Fires 157 12. Format for Coding Form for Fires 158 13. Supplemental Fire Report 163 viii SUMMARY The purpose of this research was to structure several important decision problems concerning allocation and management of municipal fire prevention manpower, and to develop the necessary models and solution procedures to analyze these problems. The operations of the Atlanta Fire Department were used as the basis for structuring these problems and for formulating their mathematical models. The methodology devel oped in the research was applied to obtain solutions for these problems for the Atlanta Fire Department. Three problems were considered in the research. These are (1) how often to conduct scheduled, routine inspections each year in each type of building occupancy in each area of the city, (2) how to divide the city into districts for inspectors, and (3) when to schedule each routine building inspection. These three problems are interrelated, but the approach taken in this research was to model the first two problems together and treat the third separately. The mathematical models formulated for these problems are mixed integer programming problems. A piece-wise linear approximation is used in the objective function of the problem of determining inspection rates and districts. A heuristic procedure was developed to obtain a solution to this first "Rate-District" problem. The procedure utilizes "knapsack" prob lem logic and an extension of the political redistricting scheme of Hess and Weaver in obtaining a set of inspection rates and districts. A solution procedure was not developed for the scheduling problem. Extensive data-gathering activities were undertaken by the Atlanta Fire Department to obtain the parameter estimates necessary to apply the model and solution procedure to obtain inspection rates and districts for Atlanta. This effort included a controlled experiment designed to provide an objective estimate of the effectiveness of rou tine building inspections. The measure of effectiveness used is the annual expected number of fires in each type of building occupancy in each area of the city, which is a function of the annual frequency of inspection. The experimental estimates were combined with subjective estimates provided by management to obtain a composite estimate of the "effectiveness function" for inspection frequency. The results of the experiment do not indicate an increase in effectiveness of higher inspection frequencies over lower frequencies. However, the experiment is to be continued for an additional six months to provide more conclusive data. A set of inspection frequencies and inspection districts were obtained from the Atlanta data and presented to department management for consideration. The districts found were significantly better than the current districts used by the department in terms of the balance of the assigned annual workload among the districts. However, the average compactness of the proposed districts is slightly greater than the cur rent districts (primarily due to two "single area" districts currently in use). It was recommended that the department continue data gathering
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