Cost based on system 325 325 term2 P0s Rhos Lqs 07058823529 05862068966 0413793

Cost based on system 325 325 term2 p0s rhos lqs

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Cost - based on system 325 325 term2 P0(s) Rho(s) Lq(s) 0.7058823529 0.5862068966 0.413793 0.292089 0.107946027 0.6571428571 0.206897 0.018505 0.0136979786 0.6608933455 0.137931 0.001448 0.001362531 0.6611235412 0.103448 0.000104 0.0001102177 0.6611369747 0.082759 7E-006 7.48861021876444E-006 0.6611376884 0.068966 4E-007 0.000000438 0.6611377227 0.059113 2E-008
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2.24807484368919E-008 0.6611377242 0.051724 8E-010 0.000000001 0.6611377242 0.045977 3E-011 4.23080150909436E-011 0.6611377242 0.041379 1E-012 1.58530313763212E-012 0.6611377242 0.037618 4E-014 5.44881396387216E-014 0.6611377242 0.034483 1E-015 1.72961879249981E-015 0.6611377242 0.03183 4E-017 5.10019679216709E-017 0.6611377242 0.029557 1E-018 1.4040998750053E-018 0.6611377242 0.027586 3E-020 3.62486571331853E-020 0.6611377242 0.025862 6E-022 8.80944495530132E-022 0.6611377242 0.024341 1E-023 2.02235677055241E-023 0.6611377242 0.022989 3E-025 4.3989591324152E-025 0.6611377242 0.021779 6E-027 9.09117471066099E-027 0.6611377242 0.02069 1E-028 1.78956410870055E-028 0.6611377242 0.019704 2E-030 3.36287877648131E-030 0.6611377242 0.018809 4E-032 For weekends: I recommend using three (1) operators per day instead of (5) because it seems to be the most efficient number of operators required on weekends based on the number of customers calling in, the wait time, and the cost of each operator on weekends, which is $325. I believe the company would be better served having these extra phone operators work in the production and distribution centers, where they could help make the production and distribution centers more efficient.
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y Table Number of servers 1 2 3 4 5 6 7 8 9 10 0.75 0.5 0.375 0.3 0.25 0.214286 0.1875 0.166667 0.15 1.928571 0.236842 0.044751 0.008631 0.001568 0.000263 4E-005 6E-006 7E-007 3.428571 1.736842 1.544751 1.508631 1.501568 1.500263 1.50004 1.500006 1.500001 0.214286 0.026316 0.004972 0.000959 0.000174 3E-005 4E-006 6E-007 8E-008 0.380952 0.192982 0.171639 0.167626 0.166841 0.166696 0.166671 0.166667 0.166667 0.142857 0.210526 0.220994 0.222775 0.223074 0.223122 0.223129 0.22313 0.22313 700 1050 1400 1750 2100 2450 2800 3150 3500 700 1050 1400 1750 2100 2450 2800 3150 3500 L(s) Wq(s) W(S) 0.705882 0.048682 0.117647 0.432298 0.003084 0.07205 0.415242 0.000241 0.069207 0.413897 2E-005 0.068983 0.4138 1E-006 0.068967 0.413793 6E-008 0.068966 0.413793 3E-009 0.068966
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0.413793 1E-010 0.068966 0.413793 5E-012 0.068966 0.413793 2E-013 0.068966 0.413793 7E-015 0.068966 0.413793 2E-016 0.068966 0.413793 6E-018 0.068966 0.413793 2E-019 0.068966 0.413793 4E-021 0.068966 0.413793 1E-022 0.068966 0.413793 2E-024 0.068966 0.413793 5E-026 0.068966 0.413793 1E-027 0.068966 0.413793 2E-029 0.068966 0.413793 4E-031 0.068966 0.413793 7E-033 0.068966
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In addition to the normal manufacturing production runs, each month the company recieves a recurring set of orders for custom made products. To manufacture these orders requires processing on four different sequential steps. Hours Required By Each Product on Each Machine Order Machine 1 Machine 2 Machine 3 #1 19 18 13 #2 4 14 2 #3 3 15 0 #4 13 0 7 #5 12 2 8 #6 8 8 18 #7 17 17 11 #8 0 15 16 #9 14 13 3 #10 14 3 16 #11 15 16 6 #12 12 1 5 #13 20 18 8 #14 20 16 7 #15 16 4 14 #16 10 5 9 #17 19 13 1 #18 15 2 10 #19 19 5 15 #20 1 8 17 #21 9 1 10 #22 6 5 0 #23 14 15 19 #24 1 6 1 #25 14 3 1 #26 18 11 18 #27 12 5 18 #28 0 18 4 #29 5 14 19 #30 1 7 15 #31 8 1 6 #32 11 8 1 #33 17 7 2 #34 17 10 13 #35 14 11 18 #36 9 14 2 #37 3 13 11 #38 11 3 9 #39 9 19 5 #40 11 6 6
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The individual project examined several of the topics below. Excluded from this list of topics are the ones of this project (linear programming, statistical process controls, forecasting, queuing, and scheduling). Yo different problem from any of the procedures below. All three must be from three different chapters. You and then solve the problem using the correct mathematics. You are to then to explain this problem and it company in your presentation. Chapter Topic Content Chapter 7 Process Strategy Crossover/Cost-Volume Analysis Supp 7 Capacity Planning Breakeven (Cost vs Revenue) Net Present Value Internal Rate of Return Chapter 8 Location Strategies Factor Rating Center of Gravity Location Break-Even Analysis Chapter 9 Layout Strategy Process Layout Assembly Line Balancing Chapter 10 Work Measurement Determining standard times (time study) Computing sample size/number of observations Chapter 12 Inventory Management ABC Analysis Economic Order Quantity Production Order Quantity Quantity Discount Safety Stock (Marginal Analysis) Safety Stock (Normal Distribution) Chapter 13 Aggregate Planning Aggregate Planning Chapter 14 Materials Req Planning and ERP
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