The optimum production plan for june 2010

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Reference no: EM131178286

RT produces two products from different quantities of the same resources using a just-in-time (JIT) production system. The selling price and resource requirements of each of the products are shown below:

Product R T
• Unit selling price ($) 130 160
• Resources per unit:
• Direct labour ($8 per hour) 3 hours 5 hours
• Material A ($3 per kg) 5 kgs 4 kgs
• Material B ($7 per litre) 2 litres 1 litre
• Machine hours ($10 per hour) 3 hours 4 hours

Market research shows that the maximum demand for products R and T during June 2010 is 500 units and 800 units respectively. This does not include an order that RT has agreed with a commercial customer for the supply of 250 units of R and 350 units of T at selling prices of
$100 and $135 per unit respectively. Although the customer will accept part of the order, failure by RT to deliver the order in full by the end of June will cause RT to incur a $10,000 financial penalty.

At a recent meeting of the purchasing and production managers to discuss the production plans of RT for June, the following resource restrictions for June were identified:
• Direct labour hours 7,500 hours
• Material A 8,500 kgs
• Mvaterial B 3,000 litres
• Machine hours 7,500 hours

Required:
(a) Assuming that RT completes the order with the commercial customer,  prepare calculations to show, from a financial perspective, the optimum production plan for June 2010 and the contribution that would result from adopting this plan.

(b) Prepare calculations to show, from a financial perspective, whether RT should complete the order from the commercial customer.

You have now presented your optimum production plan to the purchasing and production managers of RT. During your presentation it became clear that the predicted resource restrictions were rather optimistic. In fact the managers agreed that the availability of all of the resources could be as much as 10% lower than their original predictions.

(c) Assuming that RT completes the order with the commercial customer, and using graphical linear programming, prepare a graph to show the optimum production plan for RT for June 2010 on the basis that the availability of all resources is 10% lower than originally predicted.

(d) Discuss how the graph in your solution to (c) above can be used to help to determine the optimum production plan for June 2010 if the actual resource availability lies somewhere between the managers' optimistic and pessimistic predictions.

Reference no: EM131178286

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