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A part supplier has a centract with Ceropany XYZ to supplx 1550 ynits of sqme semponent C for the next 6 menths. Table 1 gives

image text in transcribed A part supplier has a centract with Ceropany XYZ to supplx 1550 ynits of sqme semponent C for the next 6 menths. Table 1 gives the XYZ's monthly requirements during the sentract period. The supplier has 20 warkers and 50 ynits of C on hand now. Each warker can produce 10 ynits of C pec month. The sempanx can recruit from the local laber market, but the recruits baye to be trained for 1 menth bx a worker before they can be ysed in the preduction. Each worker can train at most fixe reccuits guring a month! A worker is paid $3000 pec month, when ysed in production oc training. A worker can be laid eff at a cost \$2000 gec month. Firing a worker costs \$5000. Each reccuit is paid \$1500 during training. Production ahead of schedule incurs an inveptorx cost of $50ger ynit per moath. Each ynit of C not delivered on schedyle iovolves a peadty sost of $75 per month yotil delivery is sompleted. However, all deliveries must be sompleted in 6 menths. The supolier requires a final labor force of 30 workers and 50 ynits of C at the end of the 6th menth. The aggregate planaing problem is to decide what hiring, firing, producing, stocing, and shertage pelice the supelier should follow in order to minimize the total sosts duriag the sontract period. In erder to forecast a demand pattern that has a significant trend but pe seasopality.you can yse both glouble expenential smeqthing gxer regression? Explain swa words

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