Let the no. of units shipped from Warehouse A to City E be Xae, Warehouse A to City f be Xaf and so on. Hence, we get the decision variables as Xae, Xaf, Xag, Xah, Xbe, Xbf, Xbg, Xbh, Xce, Xcf, Xcg, Xch, Xde, Xdf, Xdg, Xdh
Total cost = 0.53*Xae + 0.21*Xaf + 0.52*Xag + 0.41*Xah + 0.31*Xbe + 0.38*Xbf + 0.41*Xbg + 0.29*Xbh + 0.56*Xce + 0.32*Xcf + 0.54*Xcg + 0.33*Xch + 0.42*Xde + 0.55*Xdf + 0.34*Xdg + 0.52*Xdh
We have to minimize this total cost. Hence, we get the objective function as:
Minimize Total Cost C = 0.53*Xae + 0.21*Xaf + 0.52*Xag + 0.41*Xah + 0.31*Xbe + 0.38*Xbf + 0.41*Xbg + 0.29*Xbh + 0.56*Xce + 0.32*Xcf + 0.54*Xcg + 0.33*Xch + 0.42*Xde + 0.55*Xdf + 0.34*Xdg + 0.52*Xdh
Total Supply = 4000 + 6000 + 4000 + 5500 = 19,500
Total Demand = 3400 + 2000 + 6500 + 5750 = 17,650
Total Demand < Total Supply. Hence, this is an unbalanced problem. We will have "<=" sign in supply constraints
Subject to Supply Constraints:
Xae + Xaf + Xag + Xah <= 4000................Constraint for supply from Warehouse A
Xbe + Xbf + Xbg + Xbh <= 6000................Constraint for supply from Warehouse B
Xce + Xcf + Xcg + Xch <= 4000................Constraint for supply from Warehouse C
Xde + Xdf + Xdg + Xdh <= 5500................Constraint for supply from Warehouse D
Xae + Xbe + Xce + Xde = 3400................Constraint for Demand at City E
Xaf + Xbf + Xcf + Xdf = 2000...................Constraint for Demand at City F
Xag + Xbg + Xcg + Xdg = 6500................Constraint for Demand at City G
Xah + Xbh + Xch + Xdh = 5750................Constraint for Demand at City H
Xae, Xaf, Xag, Xah, Xbe, Xbf, Xbg, Xbh, Xce, Xcf, Xcg, Xch, Xde, Xdf, Xdg, Xdh >= 0........Non-negativity constraints as no. of units cannot be negative
The above formulation is complete.
-----------------------------------------------------------------------------------------------------------------------
In case of any doubt, please ask through the comment section before Upvote/downvote.
Kindly upvote the answer as it will be encouraging for me to keep answering further questions!!!
Develop a linear programming model for this problem. (Do Not Solve The Problem Warehouse City E...
2. (25 P) A random number generator was used to generate a 100 numbers listed below. Perform x2 goodness of fit test to check whether the data distributed uniformly in the interval [0, 1] (a= 0.05, state the hypothesis first). 0.01 0.01 0.02 0.03 0.03 0.05 0.05 0.06 0.06 0.06 0.07 0.08 0.08 0.09 0.12 0.13 0.15 0.16 0.18 0.19 0.21 0.24 0.24 0.25 0.25 0.26 0.27 0.27 0.27 0.28 0.28 0.28 0.29 0.29 0.3 0.31 0.32 0.32 0.33 0.33...
A 3-dimensional surface contains a saddle point when the point is a global minimum along a line parallel to either the x or the y axis, but a global maximum along the other axis. You'll usually see a "U" shape meeting an upside-down "U" shape. The classic horseback riding saddle has one such saddle point, and, not coincidentally, it is a rider's most stable position The input will be a 2-dimensional array AInIn] of numbers, representing a lattice approximation of...
Use Table 8.1, a computer, or a calculator to answer the following. Suppose a candidate for public office is favored by only 47% of the voters. If a sample survey randomly selects 2,500 voters, the percentage in the sample who favor the candidate can be thought of as a measurement from a normal curve with a mean of 47% and a standard deviation of 1%. Based on this information, how often (as a %) would such a survey show that...
A fnance executve would ike to determine if a relationship exists between the current earnings per share (EPS) of a bank and the total assets S billions), previous period's EPS, previous period's retun on average assets (ROAA), and the previous period's retun on average equity (ROAE) ROAA measures how effectively assets are utilized, and ROAE measures a firm's profitability. Complete parts a through d below EClick the icon to view the table of data. a. Construct a regression model using...
Suppose 1000 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. Exactly 495 heads Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. The probability of getting exactly 495...
Suppose 16 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. More than 11 tails. Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. Binomial probability = (Round to...