Optimal Loadout of the Supply Class (AOE 6) Fast Combat Stores Ship
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Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1995-09 Optimal loadout of the supply class (AOE 6) fast combat stores ship Schmitt, William Joseph Monterey, California. Naval Postgraduate School http://hdl.handle.net/10945/35193 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS OPTIMAL LOADOUT OF THE SUPPLY CLASS (AOE 6) FAST COMBAT STORES SHIP by 19960215 015 William Joseph Schmitt September, 1995 Thesis Advisor: William Kroshl Approved for public release; distribution is unlimited. DTIC QUALITY INSPECTED 3 REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED September 1995 Master's Thesis 4. TITLE AND SUBTITLE OPTIMAL LOADOUT OF THE SUPPLY 5. FUNDING NUMBERS CLASS (APE 6) FAST COMBAT STORES SHIP 6. AUTHOR(S) Schmitt, William Joseph 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) PERFORMING Naval Postgraduate School ORGANIZATION Monterey CA 93943-5000 REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSORING/MONITORING AGENCY REPORT NUMBER 11. SUPPLEMENTARY NOTES The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government. 12a. DISTRmUTION/AVAJLABJLITY STATEMENT 12b. DISTRIBUTION CODE Approved for public release; distribution is unlimited. 13. ABSTRACT (maximum 200 words) This analysis develops a methodology to determine the optimal loadout for the Supply (AOE-6) class fast combat stores ship. The methodology employed tests the ability of a Supply class AOE station ship to resupply and rearm a battle group for offensive operations, including combat. Given a generic scenario, the AOE-6 is loaded with ordnance that provides the maximum benefit to the battle group. Once the AOE-6 is loaded with ordnance, several generic battle groups are developed where the quantity of each necessary commodity in the battle group is tracked daily, and the consolidation schedule for the AOE-6 is determined. From this data, the optimization model finds the minimum number of CONSOLS required to maintain the minimum levels and consequently the optimal cargo fuel mix to configure the AOE-6 station ship. The output for each battle group composition is then analyzed and a cargo fuel mix for the AOE-6 is determined that will respond to the largest number of possible tasking with minimum reconfiguration of fuel tanks. 14. SUBJECT TERMS Combat Logistics Force, Underway Replenishment, AOE-6 15. NUMBER OF Supply Class Fast Combat Stores Ship, Station Ship, Logistics, Optimization, PAGES 175 Integer Programming, GAMS. 16. PRICE CODE 17. SECURITY CLASSIFI- 18. SECURITY CLASSIFI- 19. SECURITY CLASSIFICA- 20. LIMITATION OF CATION OF REPORT CATION OF THIS PAGE TION OF ABSTRACT ABSTRACT Unclassified Unclassified Unclassified UL NSN 7540-01-280-5500 Standard Form 298 (Rev. 2-89) Prescribed by ANSI Std. 239-18 298-102 11 Approved for public release; distribution is unlimited. OPTIMAL LOADOUT OF THE SUPPLY CLASS (AOE 6) FAST COMBAT STORES SHIP William Joseph Schmitt Lieutenant, United States Navy B.S., U.S. Naval Academy, 1988 Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN OPERATIONS RESEARCH from the NAVAL POSTGRADUATE SCHOOL September, 1995 Author: William Joseph Schmitt Approved by: William Kroshl, Thesis Advisor David A. Schrady, Second Reader Frank Petho, Chairman Department of Operations Research in IV ABSTRACT This analysis develops a methodology to determine the optimal loadout for the Supply (AOE-6) class fast combat stores ship. The methodology employed tests the ability of a Supply class AOE station ship to resupply and rearm a battle group for offensive operations, including combat. Given a generic scenario, the AOE-6 is loaded with ordnance that provides the maximum benefit to the battle group. Once the AOE-6 is loaded with ordnance, several generic battle groups are developed where the quantity of each necessary commodity in the battle group is tracked daily, and the consolidation schedule for the AOE-6 is determined. From this data, the optimization model finds the minimum number of CONSOLS required to maintain the minimum levels and consequently the optimal cargo fuel mix to configure the AOE-6 station ship. The output for each battle group composition is then analyzed and a cargo fuel mix for the AOE-6 is determined that will respond to the largest number of possible tasking with minimum reconfiguration of fuel tanks. VI THESIS DISCLAIMER The reader is cautioned that computer programs developed in this research may not have been exercised for all cases of interest. While effort has been made, within the time available, to ensure the programs are free of computational and logic errors, they cannot be considered validated. Any application of these programs without additional verification is at the risk of the user. vn Vlll TABLE OF CONTENTS I . INTRODUCTION 1 A. BACKGROUND 1 1. Development and History of the CLF 2 2 . Role of the AOE in Current CLF Planning 4 3. Role of the AOE-6 Class in Future Operations 4 B . THESIS OBJECTIVES 5 1. Thesis Organization 6 2 . Scope of Study. 6 II . SUPPLY CLASS FAST COMBAT STORES SHIP 9 A. INTRODUCTION 9 B . UNREP CAPABILITIES 11 C . AMMUNITION STORAGE 13 1. Ordnance Stowage Planning Factors 15 2 . Method of Ordnance Storage 16 D . STORES AND PROVISIONS 17 E . CARGO FUEL SYSTEM 17 III. SCENARIO DEVELOPMENT 21 A. GENERAL CONCEPT 21 1. Description of Scenario 21 B . DATA BASE SPECIFICS 23 1. DFM 24 2. JP-5 25 3 . Ordnance 27 4 . Stores 29 5 . Summary of Data 31 C. SCENARIO ASSUMPTIONS 32 IV. SURVEY 33 A. SURVEY METHODOLOGY 35 1. Ordnance 36 B . SURVEY QUESTIONNAIRE STATISTICS 36 IX C . RAW FREQUENCY DATA 38 D . SCALING OF SURVEY RESULTS 40 1. Interval Scale Construction 40 2. Ten-Step Procedure for Obtaining Scale Values 41 3 . Scale Values from the Survey Data 42 V. MODEL DEVELOPMENT 45 A. ORDNANCE LOAD MODEL 45 1. Methodology 45 2 . Model Assumptions 46 3 . Description 47 4 . Formulation 52 B . CARGO FUEL MODEL 54 1. Methodology 54 2 . Model Assumptions 56 3 . Description 57 4. Formulation 60 C . GENERAL ALGEBRAIC MODEL SYSTEM 61 VI . SUMMARY OF RESULTS AND CONCLUSIONS 63 A. ORDNANCE LOAD MODEL RESULTS 63 B . CARGO FUEL MODEL RESULTS 66 1. Nuclear Powered CV and Escorts (Scenario 1) 67 2. Conventional Powered CV and Escorts (Scenario 1A) 68 3. Nuclear Powered CV, Escorts and 3 Ship ARG (Scenario IB) 68 4. Conventional Powered CV, Escorts and 3 Ship ARG (Scenario 1C) 69 C. ANALYSIS 69 1. Ordnance Load Model 69 2 . Cargo Fuel Model 70 D . SENSITIVITY ANALYSIS 72 1. Ordnance Load Model 72 2 . Cargo Fuel Model 74 a. Impact of Lowering Minimum Commodity Reserve Levels 74 b. Impact of Having a Smaller Battle Group....75 E. SUBSTITUTING THE AOE-1 CLASS FOR THE AOE-6 CLASS AS THE ASSIGNED BATTLE GROUP STATION SHIP 77 1. Ordnance Load Model 78 2 . Cargo Fuel Model 83 F . CONCLUSIONS 85 G. RECOMMENDATIONS FOR FUTURE STUDY. 86 1. Ordnance Load Model 86 2 . Cargo Fuel Model „ 87 APPENDIX A. UNREP DEVELOPMENT TIMELINE 89 APPENDIX B. USS SUPPLY UNREP STATIONS 91 APPENDIX C. USS SUPPLY AMMUNITION AND CARGO HOLD LAYOUT .93 APPENDIX D. USS SUPPLY CARGO FUEL TANK AND PUMP ROOM LAYOUT....95 APPENDIX E . SURVEY INSTRUCTIONS 97 APPENDIX F . SURVEY 99 APPENDIX G. SURVEY INFORMATION 103 APPENDIX H. DEMONSTRATION OF OBTAINING SCALE VALUES FROM SURVEY DATA 105 APPENDIX I. SUPPLY (AOE 6) ORDNANCE LOAD MODEL GAMS PROGRAM AND RESULTS 117 APPENDIX J. SEATTLE (AOE 3) ORDNANCE LOAD MODEL GAMS PROGRAM AND RESULTS 131 APPENDIX K. SCENARIO 1 GAMS LINEAR PROGRAM 13 9 APPENDIX L. RESULTS OF CARGO FUEL MODEL PROGRAM 143 LIST OF REFERENCES 147 INITIAL DISTRIBUTION LIST 151 XI Xll LIST OF FIGURES 1. Transformed Survey Results 44 xui XIV LIST OF TABLES I. AOE-6 Ammunition Storage Characteristics 16 2 . Cargo Fuel Tank Capacities „ „ . 18 3 . Battle Group Composition 23 4. Daily Ship (DFM) Fuel Consumption (Gallons per Day)....25 5. DFM Usage Rates (Gallons per Day) During Each Phase....25 6. JP-5 Storage Capacities (Gallons) 26 7. JP-5 Usage Rates (Gallons per Day) 26 8 . Ship ' s Ordnance Capacities 28 9. Max Ordnance Availabilities (Tons) 28 10. Standard Conversion Factors for Calculating Shipboard Cargo Volumes [from Ref. 8] 29 II. Consolidated Logistics Planning Factors [from Ref. 8]..29 12 . Ship' s Manning and Daily Stores Requirements 3 0 13 . Daily Stores Usage Rate 31 14 . Scenario Data Summary 31 15. Raw Frequency Data 3 9 16. Scaling Results for the Ordnance Survey 43 17. Final AOE-6 Weapons Load 64 18 . Review of Battle Group Fuel Figures 71 19. Comparison of Optimal and Selected Fuel Mix 71 20. Results of Optimal Load List Sensitivity Analysis 73 21. Results of Lowering Reserve Commodity Levels 75 22 . Impact of Fewer Escorts on Optimal Fuel Mix 76 23. Comparison of AOE-3 vs AOE-6 Weapons Load 80 24 . Comparison of AOE-3 vs AOE-6 Results 82 25. Comparison of AOE-1 vs AOE-6 Station Ship 84 xv XVI LIST OF ACRONYMS AAW Anti-Air Warfare ACE Air Combat Element AE Ammunition Ship AFS Combat Stores Ship ALSS Advanced Logistics Support Site AMRAAM Advanced Medium Range Air-to-Air Missile AO Fleet Oiler AOE Fast Combat Stores Ship AOR Fleet Replenishment Oiler ARG Amphibious Readiness Group ASROC Anti-Submarine Rocket ASUW Anti-Surface Warfare ASW Anti-Submarine Warfare AUR All Up Round CG Cruiser CH Cargo Helicopter CINCLANTFLT Commander-in-Chief, U.S.