Sun Worship Leisure Wear is identified as the primary manufacturer of swimwear and as per the latest board meeting the members has discussed the recommendations which were presented as per the supply chain analysis and assist the organizations in achieving the strategic goals and objectives for 2018.
The report aims to address the target costs for each product with the use of the present cost information from the given budget. The discourse of the report aims to recommends how to achieve and maintain the target profit margins. This has been addressed with the different types of the considerations taken from the supply chain opportunities to improve costs. The study also explains how the value chain analysis may assist the board in identifying the value-added and non value-added activities. The different types of the recommendations have been further included with the recommendations as per the four products which has been compared with the cost based and market-based pricing strategies. The final recommendation has recommended the final price for the individual products and whether it should be eliminated from the product mix to the board. In case the product needs to be eliminated a recommendation for substitution has been also proposed in the report (Vogel 2014).
The analysis of the target profit margin of 20% has been successfully achieved by the company which is evident with gross margin of 23.03% ((516376/2242500) x 100). The analysis of the target costs for the individual products has been depicted with direct material used, direct labour, manufacturing, total cost available, ending inventory and total cost of goods. The total cost of goods for bikinis has been depicted as $ 746700 with a profit margin of 38% (Choudhry et al. 2015). Similarly, the total cost of goods sold for board shorts has been inferred as $ 660016 with a total profit margin of 22%. The high amount of cost has been mainly incurred in case of towels and beach bags. This consideration has been evident with total cost of sales of $ 140208 and gross loss of 63% for towels. The total cost of sales for the beach bags are seen with $ 179200 and gross loss of 56%. However, to obtain the target profit for all the products Sun Worship Leisure Wear needs to reduce the cost of goods sold for the individual products (Cucchiella, D’Adamo and Gastaldi 2015).
Sales Budget |
|||||||||||||
January |
February |
March |
April |
May |
June |
July |
August |
September |
October |
November |
December |
Total |
|
Bikinis |
|||||||||||||
Budgeted Sales Volume (units) |
1600 |
1400 |
1300 |
1000 |
400 |
500 |
400 |
200 |
1300 |
1200 |
1200 |
1500 |
12000 |
Budgeted selling price |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
1200 |
Total Bikini Sales |
160000 |
140000 |
130000 |
100000 |
40000 |
50000 |
40000 |
20000 |
130000 |
120000 |
120000 |
150000 |
1200000 |
Board Shorts |
January |
February |
March |
April |
May |
June |
July |
August |
September |
October |
November |
December |
Total |
Budgeted Sales Volume (units) |
1200 |
1100 |
1160 |
1000 |
600 |
700 |
500 |
400 |
1160 |
1100 |
1100 |
1200 |
11220 |
Budgeted selling price |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
75 |
Total Board Short Sales |
90000 |
82500 |
87000 |
75000 |
45000 |
52500 |
37500 |
30000 |
87000 |
82500 |
82500 |
90000 |
841500 |
Towels |
January |
February |
March |
April |
May |
June |
July |
August |
September |
October |
November |
December |
Total |
Budgeted sale volume (units) |
200 |
180 |
160 |
120 |
60 |
40 |
40 |
40 |
160 |
180 |
180 |
200 |
1560 |
Budgeted selling price |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
55 |
Total Board Short sales |
11000 |
9900 |
8800 |
6600 |
3300 |
2200 |
2200 |
2200 |
8800 |
9900 |
9900 |
11000 |
85800 |
Beach Bags |
January |
February |
March |
April |
May |
June |
July |
August |
September |
October |
November |
December |
Total |
Budgeted sales volume |
400 |
300 |
260 |
140 |
80 |
40 |
40 |
40 |
260 |
300 |
300 |
400 |
2560 |
Budgeted selling Price |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
45 |
Total beach bag sales |
18000 |
13500 |
11700 |
6300 |
3600 |
1800 |
1800 |
1800 |
11700 |
13500 |
13500 |
18000 |
115200 |
Cost of Sales |
|
Bikinis |
|
Direct Materials Used |
387000 |
Direct labour |
336000 |
Manufacturing Overhead |
53799.5 |
Total cost available for sale |
24787.5 |
Less: Ending Finished Goods |
54887 |
Total cost of goods sold |
746700 |
Profit Margin |
38% |
Board Shorts |
|
Direct Materials Used |
387710 |
Direct labor |
237720 |
Manufacturing Overhead |
53799.5 |
Total cost available for sale |
24787.5 |
Less: Ending Finished Goods |
44001 |
Total cost of goods sold |
660016 |
Profit Margin |
22% |
Towels |
|
Direct Materials Used |
49455 |
Direct labour |
17584 |
Manufacturing Overhead |
53799.5 |
Total cost available for sale |
24787.5 |
Less: Ending Finished Goods |
5418 |
Total cost of goods sold |
140208 |
Profit Margin |
-63% |
Beach Bags |
|
Direct Materials Used |
68370 |
Direct labour |
43344 |
Manufacturing Overhead |
53799.5 |
Total cost available for sale |
24787.5 |
Less: Ending Finished Goods |
11101 |
Total cost of goods sold |
179200 |
Profit Margin |
-56% |
Product |
Profit/Loss Target |
Bikinis |
38% |
Board Shorts |
22% |
Towels |
-63% |
Beach Bags |
-56% |
Product |
Sales |
Total cost of goods |
Bikinis |
1200000 |
746700 |
Board Shorts |
841500 |
660016 |
Towels |
85800 |
140208 |
Beach Bags |
115200 |
179200 |
Product |
Profit/Loss Target |
Bikinis |
38% |
Board Shorts |
22% |
Towels |
20% |
Beach Bags |
20% |
Product |
Sales |
Total cost of goods |
Bikinis |
1200000 |
746700 |
Board Shorts |
841500 |
660016 |
Towels |
85800 |
68640 |
Beach Bags |
115200 |
92160 |
The main recommendations for reduce the cost as per the supply chain strategies has been seen with implementing automation process within the warehouse. This will be conducive in reducing the costs associated to supply chain. The business should also consider to streamlining the order process for making them more efficient in nature. This needs to be ensured with completing the requisitions by using different types of the applications to make order for the specific products or inventory supplies (Meena 2016). The approval of the process needs to be taken with the consent of the designated officials. Some of the other strategies to reduce the cost has been depicted with monitoring the customer demand. This is identified as one of the ways to reduce the costs associated to supply chain and looking at the client demand. There may be several changes in the pattern from month or from season to season which needs to tracked in an accurate manner with the implementation of ERP. Improved packaging will be also conducive in storing the products so that there is no costs incurred due to damaged apparels (Chu et al. 2017).
The contribution of the value added and non-value added services will be conducive in reducing the wastes. The communication of the needed information needs to be revised as per the critical safety information and identification of the safety locations. Some of the other examples of the implementation of value added and non-value added activities has been seen in terms of managing excess inventory, keeping a check on over processing, keeping a check on overproduction and keeping a check on defects (Nesticò and Pipolo 2015).
Cost based Strategy |
Market-Based Pricing Strategies |
· The cost-based strategy needs to focus on reduce the cost of goods sold. · This need to be done by minimising the waste in the manufacturing and supply chain process and investigate the ways in which material storage and transportation costs may be reduced. · The suppliers need to negotiate on every order that they place (Grant 2016) |
· The main strategy to use the pricing strategy to increase the sales is depicted with understanding the “Unique selling propositions” which drives the sales in the first place (Hassanein and Hussainey 2015). · Getting an estimate from the competitor’s strategy is often seen to be helpful in knowing the areas where the changes needs to be made in terms of the prices of the products. · The supplier negotiation is absent in this case however the innovative marketing promotions may help in increasing the sales (Legoux et al. 2014). |
The needs to be no changes made to the prices of Bikinis and board shorts so they need to be sold at $ 100 and $ 75. However, the price of the towel needs to be increased to $ 112 per unit to attain a total revenue of $ 174720 and increase the gross profit to 20%. Similarly, increasing the price per unit price of beach bags to $ 87 will assist the company generating a sales revenue of 222720 and gross profit margin of 20% (Syriopoulos, Makram and Boubaker 2015).
Conclusion
The different depictions made in the report has been able to suggest on the different types of the value added and the non-value-added strategies to reduce the waste which will be a contributing factor in the overall supply chain of the company. The evaluation of the cost based and market-based pricing strategies has been further able to state on every order that they place and understanding the “Unique selling propositions” which drives the sales in the first place.
References
Choudhry, T., Hassan, S.S. and Shabi, S., 2015. Relationship between gold and stock markets during the global financial crisis: Evidence from nonlinear causality tests. International Review of Financial Analysis, 41, pp.247-256.
Chu, P.L., Vanderghem, C., MacLean, H.L. and Saville, B.A., 2017. Financial analysis and risk assessment of hydroprocessed renewable jet fuel production from camelina, carinata and used cooking oil. Applied energy, 198, pp.401-409.
Cucchiella, F., D’Adamo, I. and Gastaldi, M., 2015. Financial analysis for investment and policy decisions in the renewable energy sector. Clean Technologies and Environmental Policy, 17(4), pp.887-904.
Grant, R.M., 2016. Contemporary strategy analysis: Text and cases edition. John Wiley & Sons.
Hassanein, A. and Hussainey, K., 2015. Is forward-looking financial disclosure really informative? Evidence from UK narrative statements. International Review of Financial Analysis, 41, pp.52-61.
Legoux, R., Leger, P.M., Robert, J. and Boyer, M., 2014. Confirmation biases in the financial analysis of IT investments. Journal of the Association for Information Systems, 15(1), p.33.
Meena, G.L., 2016. Financial Analysis of select banks using Camel Approach: a study with reference to Indian Banking Industry. International Journal of Research and Scientific innovation, 10.
Nesticò, A. and Pipolo, O., 2015. A protocol for sustainable building interventions: financial analysis and environmental effects. International Journal of Business Intelligence and Data Mining, 10(3), pp.199-212.
Syriopoulos, T., Makram, B. and Boubaker, A., 2015. Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis. International Review of Financial Analysis, 39, pp.7-18.
Vogel, H.L., 2014. Entertainment industry economics: A guide for financial analysis. Cambridge University Press.
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