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The below figure illustrates the BOM (Bill of Materials) for product A. The MPS (Material requirements Planning) start row in the master production schedule for product A calls for 50 units in week 2, 65 units in week 5, and 80 units in week 8. Item C is produced to make A and to meet the forecasted demand for replacement parts. Past replacement part demand has been 20 units per week (add 20 units to C's gross requirements). The lead times for items F and C are 1 week, and for the other items the lead time is 2 weeks. No safety stock is required for items B, C, D, E, and F. The L4L lot-sizing rule is used for items B and F; the POQ (Periodic Order Quantity) lot-sizing rule (P = 3) is used for C. Item E has an FOQ (Fixed Order Quantity) of 600 units, and D has an FOQ of 250 units. On-hand inventories are 50 units of B, 50 units of C, 120 units of D, 70 units of E, and 250 units of F. Item B has a scheduled receipt of 50 units in week 2. Develop a material requirements plan for the next 8 weeks for items B, C, D, E, and F.
Define Wire-frame Model This skeletal view is called a Wire-frame Model. Although not a realistic representation of the object, it is still very useful in the early stages of
Explain about Hidden-surface Hidden-line removal refers to wire-frame diagrams without surface rendering and polygonal surfaces with straight edges. Hidden-surface removal ref
how to define the size of array
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You have to design a framework of a Genetic Algorithm (GA) with basic functionality. The basic functionality includes representation, recombination operators, tness function and se
Program segment for All pairs shortest paths algorithm AllPairsShortestPaths(int N, Matrix C, Matrix P, Matrix D) { int i, j, k if i = j then C[i][j] = 0 for ( i =
(a) Suppose that t is a binary tree of integers (that is, an object of type BinTree of Int.) in the state shown in Figure 3. Give the vectors returned by each of the f
Q. How can we free the memory by using Boundary tag method in the context of Dynamic memory management?
What do you mean by complexity of an algorithm? The complexity of an algorithm M is the function f(n) which gives the running time and/or storage space need of the algorithm i
to find binary value of an integer
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