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Hi-Cap Magazine Distribution in California Team CarRamrod.

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Presentation on theme: "Hi-Cap Magazine Distribution in California Team CarRamrod."— Presentation transcript:

1 Hi-Cap Magazine Distribution in California Team CarRamrod

2 Disclaimer The following is a hypothetical scenario. The group members do not engage in, nor condone engaging in the trade of banned products.

3 CA Law 12020. (a) Any person in this state who does any of the following is punishable by imprisonment in a county jail not exceeding one year or in the state prison: (2) Commencing January 1, 2000, manufactures or causes to be manufactured, imports into the state, keeps for sale, or offers or exposes for sale, or who gives, or lends, any large-capacity magazine.... (c) (25) As used in this section, "large-capacity magazine" means any ammunition feeding device with the capacity to accept more than 10 rounds, but shall not be construed to include any of the following: (A) A feeding device that has been permanently altered so that it cannot accommodate more than 10 rounds. (B) A.22 caliber tube ammunition feeding device. (C) A tubular magazine that is contained in a lever- action firearm.

4 Motivation Law largely unenforceable o No outright prohibition of possession o No way to prove if magazine manufactured after 2000 Bad guys have them o Not illegal in most other states o Hard to control flow into CA So should you o Home invasions o Civil Unrest

5 LA Riots 1992: Koreatown 45% of all property damage 5 of 53 deaths Police nowhere to be seen Store-owners banded together on rooftops Defended themselves against much larger crowds using “Assault Weapons” and High-Capacity Magazines

6 Concept Procure High-Capacity magazines from another state Distribute by airplane, flying out of Watsonville Municipal Airport Distribute to large cities (Pop > 150,000) via small airports

7 The Market The Market

8 Assumptions/Constraints (General) Cities o California cities with populations over 150k are considered Population drives largest profit with widest distribution o 36 (of 482) cities meet population limit and are analyzed o Only 20 cities will be supplied Airports o Only airports considered small/medium by the FAA are considered o Only airports within 50 miles of each city are considered o 550 out of 1007 total California airports are analyzed Network o Start Node: Watsonville; End Node: Market o 2305 total arcs (Watsonville->Airport->City->Market) o 588 total nodes (Watsonville->Airport->City->Market)

9 Assumptions/Constraints (Resources) Season lasts 20 workdays (1 month, per year) Cities will be supplied only once per season Each airport will supply only 1 city AR-15 high-capacity magazines o 7.5”x2.75”x1”,.25 lbs 1 airplane will be used (Cessna Super CargoMaster) o 452 cubic feet of storage; (4500 lbs/.25 lbs) = 18,000 Magazines (180 cases) o $2.29/nm fuel cost o 871 nm range Supplier (out of State) o Able to supply in excess of the air transport constraint (20*180=3600 cases).

10 Assumptions/Constraints (Formulation) Demand (Capacity): o (.0525*Population)/100 o Range: 79 - 1991 o 21% of CA population own firearms* 21% used in model (conservative) o 50% of gun-owners don’t support high-capacity magazine ban** 25% used in model (conservative) Probability (of capture, relatively): o ((Distance/50)*1.24)*(CrimeRate*12) o Ranges: (Distance:.1 - 50), (CrimeRate:.0146 -.0667) Highest relative probability: 50 miles from Oakland: 97% o Not a function of population Price (Cost): o log(population(.0525)/1000)*$30 $30: Upper-end price of name-brand magazine in legal state o Range($26.49 - $68.97)

11 Airports U= Plane (180) Cities Cost = Prob of Getting Caught U= Inf Cost = - Revenue Cost = Flight price U = City Demand 3600 -3600 The Model Watsonville Market -3600 3600

12 Optimizing Parameters: o Probability : log (1-P ij ) o Revenue : Y ij * C ij Method Of Optimization: o Probability as a Constraint o Probability in Objective Function

13 Under The Hood Constraint: MaxProb.. sum((i,j), log(1-arcdata(i,j, 'Probb'))*P(i,j)) =g= log(.90) ; Objective Function: OBJECTIVE.. Zprimal =e= SUM(arcs(i,j),(arcdata(i,j,'Cost') *Y(i,j) )) + (Weight)*probab + nC/2*SUM(j,UnsatisfiedDemand(j)) ;

14 Results (.90) Probability = 0.90 Revenue from LosxAngeles -> is 1241513.32 Revenue from SanxDiego -> is 991746.96 Revenue from SanxJose -> is 915852.86 Revenue from Fresno -> is 763814.06 Revenue from Sacramento -> is 750059.88 Revenue from LongxBeach -> is 747923.11 Revenue from Oakland -> is 708495.87 Revenue from Bakersfield -> is 680990.15 Revenue from Anaheim -> is 658332.03 Revenue from SantaxAna -> is 628019.85 Revenue from Riverside -> is 573758.76 Revenue from Stockton -> is 543963.72 Revenue from ChulaxVista -> is 425241.44 Revenue from Fremont -> is 353053.23 Revenue from Irvine -> is 348738.48 Revenue from SanxBernardi -> is 343933.06 Revenue from Modesto -> is 322469.19 Revenue from Oxnard -> is 314130.30 Revenue from Fontana -> is 309845.88 Revenue from Glendale -> is 300847.34 SupplyDemand that could not be moved on node Watsonvillex is -631.00 SupplyDemand that could not be moved on node Market is 631.00 total Revenue = 11922729.51

15 Results (.70) Probability = 0.70 Revenue from LosxAngeles -> is 1241513.32 Revenue from SanxDiego -> is 991746.96 Revenue from SanxJose -> is 915852.86 Revenue from SanxFrancisc -> is 878084.25 Revenue from Fresno -> is 763814.06 Revenue from Sacramento -> is 750059.88 Revenue from LongxBeach -> is 747923.11 Revenue from Oakland -> is 708495.87 Revenue from Bakersfield -> is 680990.15 Revenue from Anaheim -> is 658332.03 Revenue from SantaxAna -> is 628019.85 Revenue from Riverside -> is 573758.76 Revenue from Stockton -> is 543963.72 Revenue from ChulaxVista -> is 425241.44 Revenue from Fremont -> is 353053.23 Revenue from Irvine -> is 348738.48 Revenue from SanxBernardi -> is 343933.06 Revenue from Modesto -> is 322469.19 Revenue from Oxnard -> is 314130.30 Revenue from Fontana -> is 309845.88 SupplyDemand that could not be moved on node Watsonvillex is -551.00 SupplyDemand that could not be moved on node Market is 551.00 total Revenue = 12499966.42

16 Results (.96) Probability = 0.96 Revenue from SanxDiego -> is 991746.96 Revenue from SanxJose -> is 915852.86 Revenue from Fresno -> is 763814.06 Revenue from Sacramento -> is 750059.88 Revenue from LongxBeach -> is 747923.11 Revenue from Bakersfield -> is 680990.15 Revenue from Anaheim -> is 658332.03 Revenue from Riverside -> is 573758.76 Revenue from Oxnard -> is 314130.30 Revenue from Fontana -> is 309845.88 Revenue from Oceanside -> is 246148.93 Revenue from ElkxGrove -> is 217174.39 Revenue from Corona -> is 214027.63 Revenue from Torrance -> is 201286.88 SupplyDemand that could not be moved on node Watsonvillex is -1658.00 SupplyDemand that could not be moved on node Market is 1658.00 total Revenue = 7585091.84

17 Results

18 Conclusion Results: o Market changed with different threshold values for Probability of capture. What could we have done better given more time? o More realistic model No shipping by air from Watsonville to San Jose, etc. Capability to ship to more than 20 cities (longer contract) o More realistic constraints Better Probability Function Better Demand Function


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