In: Operations Management
PeCo sells a single type of mobile phone screen protector. The annual demand for the its screen protectors is 50,000 units and demand seems to be continuous and uniform throughout the year. They currently sub-contract a local manufacturer to produce the screen protector for them at a cost of $3 per unit. The fixed cost associated with each delivery of screen protectors is estimated at $1,200 and careful analysis of quality assurance data has shown that a product held for a whole year in stock has a 0.1 probability of being faulty. This probability is linear with the time spent in stock, i.e., products spending 6 months in the warehouse have a 0.05 probability of being faulty, etc.
The company is also investigating the option of producing the screen protectors in-house. To do so, PeCo would have to lease machines and equipment at a cost of $65,000 per year. Every time a production run is initiated, calibration and cleaning of the production line would need to be performed at a cost of $1,500. The production line produces screen protectors at a constant rate of 60,000 units per year if it is never turned off. The variable cost of production is $1.8 per unit (raw materials and energy consumption). It is assumed that the quality of the screen protectors PeCo produces is identical to that of screen protectors that are produced by the sub-contractor. Hence, the faulty rate of products is identical in both cases (in house production and sub- contracting).
PeCo owns a small warehouse. The storage capacity of the warehouse is 10,000 products. If required, they can lease two additional warehouses, each with the capacity to store 5,000 additional products. One is offered for lease at a cost of $1,000 per year, while the second is fully renovated and offered at $1,500 per year. Assume that throwing out screen protectors (or giving them away for free) is not an option.
Investigate the various production/purchasing options the company should consider.
This problem is an example of the aggregate planning concept. The goal of aggregate planning is to achieve a production plan that will effectively utilise the organisation’s resources to match the expected demand.
In this case study, the product is screen protector and the demand is continuous and uniform throughout the year.
Annual demand for the screen protectors = 50,000 units
The case points out two ways of production and the costs involved.
Cost per unit = $3
Fixed cost for each delivery = $1,200
Fault probability = 0.1 for one year [linear]
Total cost for delivery of batch of 50,000 units = Fixed cost + variable cost
= $1200 + ($3*50,000)
= $1200 + $1,50,000
= $1,51,200
2. In-house production
In order to produce the screen protectors in-house, PeCo would have to lease machines and equipment at a cost of $65,000 per year.
Lease cost per year = $65,000
Each production run cost (calibration, cleaning) = $1,500
Yearly Production rate = 60,000 units [if it is never turned off]
Variable cost(raw materials and energy consumption) of production per unit = $1.8
Fault probability = 0.1 for one year [linear]
Variable cost for 60,000 units = $1.8*60,000
Fixed cost per year= lease cost per year + production run cost
= $65,000 + $1,500
Total cost to produce 60,000 units a year= fixed cost + variable cost
= ($65,000 + $1,500) + ($1.8*60,000)
= $66,500 + $1,08,000
= $1,74,500
Hence according to calculations, cost of production can be compared as follows:
Cost for 50,000 units = $1,51,200 Effective cost per unit = $3.024 |
2. In-house production Cost for 60,000 units = $1,74,500 Effective cost per unit = $2.90833 |
Production options
Pepco owned Storage warehouse
In-house storage capacity = 10,000 products
Additional warehouse 1 Capacity = 5,000 products Lease cost per year = $1,000 |
Additional warehouse 2 Capacity = 5,000 products Renovated cost per year = $1,500 |
Inventory management is very essential in this case since the in-house storage capacity is only 10,000 units. An additional warehouse could give 50% more capacity. Since the cost for the second warehouse is 50% more than the first warehouse that can be leased out, going for the first warehouse is a better choice for PeCo. This decision would allow them in cost cutting as well.
The main aggregate planning strategies companies follow are either chase capacity strategy or level capacity strategy.
In this case study, since sufficient data regarding workforce levels are not given, we can say that PeCo follows the level capacity strategy. Here, when the overall supply per year does not match the yearly demand (50,000 units approximately), variations may occur. These variations in demand can be met by using overtime effort or inventories or part-time workers or sub-contracting or back-orders or a combination of the above. Since according to the analysis of the costs shows that even sub-contracting costs more than in-house production provided production never stops, PeCo can opt for in-house production itself.
In case of storage facility, PeCo can opt for the first warehouse on lease since they can opt and use it when their in-house storage capacity gets full.