Higher is a producer of kites and wind socks. Relevant data on the bottleneck operation in the shop for the upcoming fiscal year are given in the following table:
| Item | Kites | Wind Socks |
| demand forecast | 30,000 units/yr | 15,000 units/yr |
| lot size | 20 units | 60 units |
| standard processing time | 0.4 hours/unit | 0.5 hours/unit |
| standard setup time | 3 hours/lot | 4 hours/lot |
The shop works two shifts per day, 8 hours per shift, 180 days per year. Currently, the company operates 4 machines, and desires a 25 percent capacity cushion. How many machines should be purchased to meet the upcoming year’s demand without resorting to any short-term capacity solutions?
In the competitive world of manufacturing, efficient production planning is paramount to meeting customer demands while optimizing resources. Higher, a prominent producer of kites and wind socks, faces the challenge of aligning its production capacity with market requirements for the upcoming fiscal year. This essay delves into the essential factors and calculations that Higher must consider to make an informed decision regarding the number of machines to purchase, ensuring uninterrupted production without resorting to short-term capacity solutions.
Demand Forecast and Lot Sizes
The foundation of any production strategy lies in understanding market demands. Higher anticipates a demand of 30,000 units per year for kites and 15,000 units per year for wind socks. These figures serve as the cornerstone for determining the required production capacity. Moreover, the lot sizes for these products are distinct—kites are produced in lots of 20 units, while wind socks are manufactured in lots of 60 units. These lot sizes impact efficiency and setup times, thus influencing production planning.
Standard Processing and Setup Times
Efficient production hinges on accurate processing and setup times. Kites require 0.4 hours per unit for processing, while wind socks need 0.5 hours per unit. Additionally, setup times play a crucial role in minimizing downtime during transitions. For kites, the setup time is 3 hours per lot, and for wind socks, it is 4 hours per lot. Precise knowledge of these times allows Higher to optimize its production schedule and minimize idle periods.
Operational Schedule and Capacity Cushion
Higher operates on a schedule of two shifts per day, with each shift spanning 8 hours, and the company operates for 180 days annually. To ensure they can meet the demand for both kites and wind socks, they must calculate the required production capacity. This calculation should incorporate the desired capacity cushion, which in this case, is set at 25 percent. The capacity cushion acts as a buffer, safeguarding against unforeseen disruptions in production.
Calculations and Recommendations
To ascertain the production capacity needed for each product, we calculated it separately for kites and wind socks. For kites, the capacity needed was determined to be 4,500 machine hours per year, and for wind socks, it was found to be 3,750 machine hours per year. The total capacity required for both products was thus established at 8,250 machine hours per year.
Currently, Higher operates four machines, and considering the 25 percent capacity cushion, the production capacity needed should be 10,312.5 machine hours per year. To convert this to the number of machines required, we considered the annual machine hours each machine can deliver. Each machine operates two shifts per day for 180 days annually, providing 2,880 machine hours per year. Consequently, Higher would need to purchase at least 4 machines to meet the upcoming year’s demand without relying on short-term capacity solutions.
Conclusion
In conclusion, Higher, a producer of kites and wind socks, must strategically invest in additional machines to match the anticipated demand for the upcoming fiscal year effectively. By meticulously analyzing factors such as demand forecasts, lot sizes, processing times, setup times, and the desired production capacity cushion, the company can ensure a seamless production process that meets customer expectations. With an optimized machinery setup, Higher can navigate the challenges of manufacturing with confidence and stay competitive in their market.
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