Question 1 i) Unknowns x = number of lamps L1 y = number of lamps L2 ii) Function f(x, y) = 15x + 10y iii) Conversion of time from minutes to hours 20 min = 1/3 h 30 min = 1/2 h 10 min = 1/6 h L1 L2 Time(h) Manual 1/3 1/2 100 Machine 1/3 1/6 80 iv) Constraints as a system of inequalities 1/3x + 1/2y ≤ 100 1/3x + 1/6y ≤ 80 x ≥ 0 y ≥ 0 v) Solutions that graphically represent the constraints As x ≥ 0 and y ≥ 0, it lies on the first quadrant 1/3 x + 1/2 y ≤ 100 1/3 • 0 + 1/2 • 0 ≤ 100 1/3 • 0 + 1/6 • 0 ≤ 80 The area of intersection would be the solution to the system of inequalities. vi) Coordinates of the vertices 1/3x + 1/2y = 100; x = 0 (0, 200) 1/3x + 1/6y = 80; y = 0(240, 0) 1/3x + 1/2y = 100; 1/3x + 1/6y = 80(210, 60) vii) …show more content…
f(x, y) = 15x + 10y f(0, 200) = 15•0 + 10•200 = $2,000 f(240, 0 ) = 15•240 + 10•0 = $3,600 f(210, 60) = 15•210 + 10•60 = $3,750 The best solution is to manufacture 210 units of model L1 and 60 units of model L2 to obtain the maximum benefit of
8.1 Overview We knew about the volumes in the previous chapter and learnt how it helps to determine a trend. In this chapter we will get to know the moving averages. We all have read about average in mathematics textbooks and this is just an extension of averages.
{Objective Function} f$(X)$, X= (x1, x2, x3, x4 $...$xd) \Generate the initial population of n fireflies, Xi, i = 1, 2, $...$, n \Light intensity Ii at Xi is determined by f (Xi) \Define the light absorption coefficient $gamma$ \While (t $<$Ij) \ hspace{2cm} Move firefly i towards j; \ hspace{1cm}End if \ hspace{1cm}Vary attractiveness with distance i via exp[- $ gamma r^{2}$] \ hspace{1cm}End for j \ hspace{1cm}End for i \ hspace{1cm}Rank the fireflies and find the current global best solution g* \End while \Post-process the results \
Qus1 (A)- 1 2 3 5 4 6 F F T F F T F T F T T T T F T F T T T T F F F T Tautology of statement "Changed in the table so as not to get similarity" (B)- 1 2 3 4 5 Tautology Qus−2: It is clear that, P(x) is true for all values as, P(1) is True, P(2) is true. Thus, the truth value is (((True)))). It is clear that P(0.5) is True, but P(x) is False for x =
Question no 1: % It is a program which takes coordinates (x, y) of a center of a circle and its radius r from user, % and determine that whether any point z with lies inside the circle, on the circle or outside the % circle. For this if ,elseif and else statements will be used there. function result= circle() x=input('Enter value of x Cordinate:'); y= input('Enter value of y Cordinate:'); r=input('Enter value of Radius:'); c=r*r; z=
Thanks for the confirmation. But, pay attention, I need the confirmation the voltage of MBS40 and MBS70 (MJ344B and MJ347E), because you detail both machines with 380v. , I need your confirmation in this, your confirmation is really important for us. Please, also we need know when Jorge will return to the work, and how we will continue working, because there are many imperfections in this order.
What should the White Sox Do with Mat Latos? James Shields is here to replace someone. Mat Latos has finally come down to earth and luck is no longer on his side. Either Latos or Miguel Gonzalez will lose his spot in the rotation. The question is, do the White Sox send Latos to the bullpen or just release him?
In \cite{Romauera92}, Romaguera pointed out that if $X=\mathbb{R}^+$ and $p : X \times X\to \mathbb{R}^+$ defined by $p(x, y) = \max\{x, y\}$ for all $x, y \in X$ then ${CB}^p(X)=\emptyset$ and the approach used in Theorem \ref{THM201} and elsewhere has a disadvantage that the fixed point theorems for self-mappings may not be derived from it, when ${CB}^p(X)=\emptyset$. To overcome from this problem he introduced the concept of mixed multi-valued mappings and obtained a different version of Nadler's theorem in a partial metric spaces. \begin{definition} Let $(X, p)$ be a partial metric space. A mapping $T : X \to X \cup {CB}^p(X)$ is called a mixed multi-valued mapping on $X$ if $T$ is a multi-valued mapping on $X$ such that for each $x\in X$
This can be compared to having no option, still with a 10% interest rate, discounted at five years for a present value of $931,382. Therefore, it would be best to use the current land for the catfish project and purchase the $100,000 option to buy the new land for the Gulf Shrimp Processing Division because the present value of purchasing the land with the option is less than with no option at
Do consumers tend to change their purchasing habits due to changes in the price of gasoline? In our excel report we were reviewing the gas prices and demand from PADD 1, the Petroleum Administration for Defense District 1. This district is on the east coast and is one of the largest in the nation. It is broken into three separate categories.
0 0 0.0000 15 19.4 19.4 0.1213 30 9.6 29 0.1813 60 13 42 0.2625 120 20.4 62.4 0.3900 240 21.6 84 0.5250 2*10^(-5) 180 0 0 0 0.0000 15 33.6 33.6 0.1867 30 22.9 56.5 0.3139 60 40.4 96.9 0.5383 120 20.2 117.1 0.6506 240 16.4 133.5 0.7417 6*10^(-5) 150 0 0 0
Based on our calculations in Appendix 1. at the first stage support costs were allocated to two existing departments, i.e. Machining and Assembly, based on direct labor hours. Therefore total amount of costs assigned to Machining department is $472.000,00 and to Assembly department is $248.000,00. At the second stage total costs from both departments were distributed to products (Regular and Deluxe). Referring to our calculations in Appendix 1.
SPORT OBERMEYER, Ltd. EMBA – SEPT 15 – ENG-BL – S2 TEAM A 1. Using the sample data given in Exhibit 10, make a recommendation for how many units of each style Wally Obermeyer should order during the initial phase of production. Assume that all ten styles in the sample problem are made in Hong Kong, and that Obermeyer 's initial production commitment must be at least 10,000 units. (Ignore price differences among styles in your initial analysis.)
Therefore, their anticipated budget will be $120000 million dollars. This in turn will affects the raw materials budget because they need to buy components which is sufficient to manufacture 3 million bikes and obviously a little more to be in safer position. Based on their sales budget, they would be allocating resources and making sure that there is no wastage of resources. In the same way, Sales budget will affect the other budget too. If the level of sales is high, Raw material Requirement will also be high which in turn will require more labor to process and manufacture this product.
Therefore on that basis, all products, including pumps would be generating substantial contribution to overhead and profits. Therefore, given the overhead allocation problems, Wilkerson’s best bet would be to adopt the variable costing method for various reasons, as follows: 1. This cost concept provides a better understanding of the effect of fixed costs on the net profits, due to the fact that total fixed cost for the period is shown on the income statement. 2.
A Globally Optimal Solution is the probably best solution which meets all Constraints. The Simplex LP Solver regularly finds the Globally Optimal Solution at the point where 2 or more Constraints intersect. 3.2. NONLINEAR PROGRAMMING (NLP)