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A training centre is assigning the training programs to the trainers in their company. There are four offering training programs, 2. A training centre is

A training centre is assigning the training programs to the trainers in their company. There are four offering training programs,

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2. A training centre is assigning the training programs to the trainers in their company. There are four offering training programs, i.e. data analytics, data science, data engineering, and big data Hadoop. Each trainer is handling one program. To assign the most suitable training program to each of the trainers, the training centre prepares the following table to show the preference credit points based on the requirements and availability of the trainers. Table 1 Preferences Trainer 1 Trainer 2 Trainer 3 Trainer 4 Beginner 0 5 5 0 Contents Intermediate 4 4 0 5 Level Advanced 5 0 0 4 Software No 0 3 2 2 Requirement Yes 3 2 0 3 Selangor Area 3 3 3 0 Location Outstation 0 2 3 Online 2 2 0 2 Date and Weekday 3 3 3 0 Time Weekend 0 0 3 Note: 5 - Essential, 4 - Fairly High, 3 - High, 2 - Moderate, 1 - Low, 0 - Fairly Low The following are the list of training courses that need to be conducted by the trainers. Table 2 Training Program Preferences Data Data Data Big Data Analytics Science Engineering Hadoop Contents Level Beginner Beginner Intermediate Advanced Software Requirement Yes Yes Location Johor Bahru Online Cyberjaya Bangsar Date and Time Weekday Weekend Weekday Weekday No Yes Construct a credit points table for each training program based on the preferences of the trainer. Then, use the Hungarian method to determine the assignment of the training program to the suitable trainer by maximizing the credit points of their preferences. What is your recommendation(s) for the company? [Hint: Based on the preferences of each training program in Table 2, find the scores from Table 1 and then sum up all the scores. Repeat the process for all combination of the trainer and the training program to construct the credit points table.] (10 marks)

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