(a)
Example calculation: For 2-to-4, the movement happens for the demand of G, H, and I leading to a total movement = 5+100+40 = 145
(b)
(c)
Cluster-1
No. of in-sequence moves = 167+145+140 = 452
No. of back-tracking moves = 12
No. of total moves = 452 + 62 + 12 = 526
So, % in-sequence moves = 452/562 = 80.4%
% of back-tracking moves = 12/562 = 2.14%
Cluster-2
No. of in-sequence moves = 85+70 = 155
No. of back-tracking moves = 15
No. of total moves = 155 + 35 + 15 = 2-5
So, % in-sequence moves = 155/205 = 75.6%
% of back-tracking moves = 15/205 = 7.3%
In this problem, two logical machine groups are identified by rank order clustering, as follows: ...
18.3 Apply the rank order clustering technique to the part-machine incidence matrix in the following table to identify logical part families and machine groups. Parts are identified by letters, and machines are identified numerically. Parts Machines A B C D EF G H I 2 4 18.3 Apply the rank order clustering technique to the part-machine incidence matrix in the following table to identify logical part families and machine groups. Parts are identified by letters, and machines are identified numerically....
(20 points) For a machine-part matrix shown below, form cells by using the direct clustering algorithm. If conflict 7. exists, devise the solution. Machinein Part# 4 S 1 2 1 1 3 1 4 5 6 (20 points) For a machine-part matrix shown below, form cells by using the direct clustering algorithm. If conflict 7. exists, devise the solution. Machinein Part# 4 S 1 2 1 1 3 1 4 5 6
1. apply k-means clustering to a dataset Task Consider the following set of two-dimensional records: RID Dimension 1 Dimension2 1 00 8 4 5 4 N 3 2 4 4 6 N 5 2. 00 6 00 8 6 Use the k-means algorithm to cluster the data in the dataset with K=3. You can assume that the records with RIDS 1, 3, and 5 are used for the initial cluster centroids (means). You must include the intermediate results in each...
A manager must decide which type of machine to buy, A, B, or C. Machine costs (per individual machine) are as follows: Machine Cost A $ 60,000 B $ 50,000 C $ 60,000 Product forecasts and processing times on the machines are as follows: PROCCESSING TIME PER UNIT (minutes) Product Annual Demand A B C 1 15,000 2 4 2 2 25,000 6 2 3 3 15,000 3 5 5 4 20,000 3 4 2 a. Assume that only purchasing...
A manager must decide which type of machine to buy, A, B, or C. Machine costs (per individual machine) are as follows: Machine Cost A $ 60,000 B $ 50,000 C $ 60,000 Product forecasts and processing times on the machines are as follows: PROCCESSING TIME PER UNIT (minutes) Product Annual Demand A B C 1 15,000 2 4 2 2 25,000 6 2 3 3 15,000 3 5 5 4 20,000 3 4 2 a. Assume that only purchasing...
3112 1617 Q4 Q4 (4 marks) (a) What is machine learning? (b) Discuss the difference between classification and clustering. Give one example algorithm (6 marks) for classification and clustering respectively For Q4(c)-Q4(f, consider the figure below which shows the examples (instances) with different Yellow Red Purple Orange Height Blue Red Violet Green Width (c) Is k-Nearest Neighbors (KNN) a classification method or clustering method? mark) (d) What is the outcome of KNN for the query point based on I-nearest neighbor?...
suppose that a second shift is added to the assembly department. what is the new capacity of the assembly department Below is the XYZ operation. Molded Parts Mold Parts Finished Componen Final Assembly Purchased Pary Vnventory Purchase Parts from Vendors Assumptions 1) One worker is needed to operate each machine in the molding dept. 2) The molding dept. has 10 machines. 3) Currently 6 workers in the molding dept., earning $15 per hour. 4) Each molding machine produces 25 parts...
RAMJAKHAR CAN YOU HELP ME? also can you explain the formulas as well 5. For the machine-part matrix shown below. a. Form cells using the direct clustering algorithm (DCA). Shown each step and corresponding matrix clearly by filling given blank matrices.) b. If conflict exist, what are the possible alternative approaches for resolving conflicts? 1 2 3 4 5 1 1 1 2 1 1 1 3 1 1 4 1 5 1 1 top:machine # side:part#
Engg College Data file is provided. You need to do Clustering of the Engg Colleges. Do Clustering using Hierarchical with Average Linkage? Do Clustering using K Means? Using R Check the output of the above two. If the output differs then what linkage should have been used in Hierarchical so that the two output are almost matching. SR_NO Engg_College Teaching Fees Placements Internship Infrastructure 1 A 5 2 5 5 3 2 B 4 2 5 5 3 3 C...
MKM International is seeking to purchase a new CNC machine in order to reduce costs. Two alternative machines are in consideration Machine 1 costs $500,000 but yields a 10 percent savings (net benefit) over the current machine used. Machine 2 costs $900,000 but yields a 20 percent savings (net benefit) over the current machine used. In order to meet demand, the following forecasted cost information for the current machine is also provided. Year 1 2 3 4 5 Projected Cost...