The paper "What Factors Should Gillian Consider When Deciding to Increase the Number of Flavors" is a great example of a business case study. With a 35% increase across all days among the number of visitors that visits the farm, in twenty fifteen. The analysis of the visitors per month starting from the month of April is explained in table 2 below. It gives the figures and various details. Months Apr May Jun Jul Aug Sep Oct Total 2014 1748 2576 3690 3995 4258 2577 922 19766 2015 2359.8 3477.6 4981.5 5393.25 5748.3 3478.95 1244.7 26684.1 In the calculation and analysis of the current situation, it was based on the following assumption; The number of visitors increases with the same percentage across all months starting from April The same number in 2014 each month increases by 35% in the year 2015 From the analysis, it shows that the farm is currently very close to its maximum visitor capacity in the month of June, July and August with close to 96.8% and 98.9% capacity utilization in the car park.
With a 35% increase in customer demand, the farm will be able to meet this target. It should be noted that the total visitors in 2015 will higher than the target of 20,000 visitors by 33.42% hence the target will be reached.
It must be ignored for this reason that some visitors that would have liked to have visited the milking sheds were unable to do so due to the capacity constraints. 1.2Explore capacity plans for the ice-cream production in the business Year of 2014 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total Retail shops 2780 2904 5702 3658 4734 6131 5917 5380 5272 3442 2473 5380 53773 Farm shop total 501 834 669 1331 1954 3281 3522 3879 1934 1307 835 1230 21277 Total 3281 3738 6371 4989 6688 9412 9439 9259 7206 4749 3308 6610 75050 Year of 2015 2015 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total Retail shops 2557.6 2671.68 5245.84 3365.36 4355.28 5640.52 5443.64 4949.6 4850.24 3166.64 2275.16 4949.6 49471.16 Farm shop total 501 834 669 1636.9 2404.8 3926.75 4221.125 4624.15 2384.975 1468.35 835 1230 21277 Total 3058.6 3505.68 5914.84 5002.26 6760.08 9567.27 9664.765 9573.75 7235.215 4634.99 3110.16 6179.6 With the current strategy, the demand for Ice-cream will increase by 33.41% compared with the sales in 2014. That is the estimated demand of 20,000 and if the demand expected demand of 35% increase gives 26,682.
Total sales in 2014 are 75050 liters, in 2014, it is estimated that it will be 70748.16 litters. Sales forecast as per the report, farm shop sales will increase by 50% while the retail store will decline by 13.3%. In the production, although it is clear that the farm has significant capacity constraints on its production process. The production of the ice cream final goods has higher storage capacity compared to the raw materials. The production rate Total demand, = 750750 Capacity = 11,000 Rate of production = 750750/11000 = 6.83 Since the production rate and capacity are constant, the company should start increasing the number of production rate from 4 days a week to 5 days a week to meet the increasing demand of people both the retail and farm shop (Walker, 2015).
Schwaber (2004) states that this should mostly happen during the busy periods, while holly farm groped about the probability of producing distinct volumes of packages of ice cream for responding to individual orders for the local catering trade. I would emphasize that the farm stop attempting to do this rather stick with the initial production plans.
Wasting more ice cream, taking 2 to 3 hours to set the dispenser up and being demanded low justify the opinion (Grady, 1992). Milking parlour according to the case, the number of the visitors who wants to see the milking parlour on a busy day in 2014, the capacity, however, of the gallery for watching milking parlour is over 200 visitors per day. Shtub, Bard, & Globerson, (1994) states that higher production can lead to higher suppliers which can result in lower prices, hence need to regulate production level.
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