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Haier Company Analysis

PART ONE:

The name of company.

HaierOne paragraph about the company.

Haier is a Chinese company and operates among the top biggest manufacturers of while goods globally. It is situated in PRC headquarter, Qingdao, with 19 overseas trading companies in countries such as America, Europe, Central Africa, South Asia and China as well. It also has eight comprehensive R&D centers and 29 manufacturing plants. Haier has become a larger-scale manufacturing company comprising of employees approximated to 50 thousand.

Write the Vision and the mission of the company.

Vision: to be among the leading producers global wide.

Mission: to provide best quality products and services accompanied by excellent customer service and support.

Explain the competitive priorities of the company.

Haier Company is has been corned with building its brand name. the company believes that a strong brand name will help them gain a bigger market share. Additionally, the company names its products based on the original country and they believe that when a product is associated with China, it attracts more customers who believe it is of high quality.

Write the company strategies.

Consistent positioning: There is the same set of values of a particular brand worldwide. For instance, Sony is synonymous with innovation all over the world, while Disney promotes the same family values throughout all of its markets.

Corporate brand name: The brand names are of much important to both Haier Company and the customers. The brand name or trademark for Haier identifies and separates their goods from those of other dealers (Reece & Ducofee 1987).

Explain the resources’ capacity (capacity planning)

Though Haier distributes its products globally, it does so taking into account the number of products of each kind required by the customers. In other words, they capacity of production and distribution entirely depends on customer’s demands.

Explain the forecasting method which the company is using

Haier Company have started taking branding more seriously in order to face a changing environment, but their understanding of the idea remains vague and superficial (Fan, 2006, pg. 368).

Explain the demand pattern and explain the dependent and independent demands?

Demand pattern is the way the supply and demands behaves in any market structure. When a great number of customers need specific goods, then that particular good’s demand is said to increase in relative to other products. A dependent demand is a product that is used or consumed in relation to another for instance sugar is consumed with tea. An independent demand is where one good is consumed or used independently and does not depend on another. An example is buying computer and house.

Explain the processes, which are used by the company to produce the final product.

In the abroad market, Haier still obtained the revenue about 5.13 billion RMB, even though Haier faced financial crisis and Haier’s revenue declined by 16.51 %( Loos and Davies, 2006). According to the map beneath, Haier has separated the mainland of China into 8 units as sales areas on the base of Geographic and Demographic factors (Loos and Davies, 2006). Then Haier partitioned each area into 5-class according to the growth of the economy situation, as a result to create a 5-class allocation network (Loos and Davies, 2006). For the reason that the dissimilarities in each city class, inadequate personnel and cash flow of Haier, the Company subjected dissimilar allocation approaches in order to please consumers’ needs and increase the market share.

How the companies measure the performance of the processes?

The company fully depends on customer’s reviews and suggestions to determine th quality of service it delivers.

PART TWO:

4. Select two stores you shop at, and state how they compete.

Kassmatt and Nakumatt are my favorite supermarkets. I consider them among the best since they not only offer quality products and services but their prices are also affordable. The two supermarkets are often located in nearby places and so they compete.

5. What is the Balanced Scorecard and how is it useful.

A balance scorecard is the technique used in measuring the performance of an organization or a company. A balance scorecard is essential as it acts as yard stick through which the company’s success or failures are determined.

PART THREE:

7. Contrast organization strategy and operations strategy.

An organization strategy is a technique applied in the entire organization or firm in line with the company’s objectives and missions.

Operational strategy is the technique applied in a unit or department and is only applicable to what that particular unit intends to achieve.

8. Explain the term time-based strategies and give three examples.

Time-based strategies are strategies put in place to hasten the achievement of a given project or objective. For example, an organization can decide to have a quality check at every department to help in improving the entire organizational performance faster.

Part 4

Dalworth Company

1. Three-month simple moving average

Month Actual Sales Three-Month Simple Absolute Absolute Squared

(Thousands) Moving Average Error % Error Error

Forecast Jan. 20 Feb. 24 Mar. 27 Apr. 31 (20+24+27)/3 = 23.67 7.33 23.65 53.73

May 37 (24+27+31)/3 = 27.33 9.67 26.14 93.51

June 47 (27+31+37)/3 = 31.67 15.33 32.62 235.01

July 53 (31+37+47)/3 = 38.33 14.67 27.68 215.21

Aug. 62 (37+47+53)/3 = 45.67 16.33 26.34 266.67

Sept. 54 (47+53+62)/3 = 54.00 0.00 0.00 0.00

Oct. 36 (53+62+54)/3 = 56.33 20.33 56.47 413.31

Nov. 32 (62+54+36)/3 = 50.67 18.67 58.34 348.57

Dec. 29 (54+36+32)/3 = 40.67 11.67 40.24 136.19

Total 114.00 291.48 1,762.20

Average 12.67 32.39 195.80

* mergeformat

2. Four-month simple moving average

Month Actual Sales Four-Month Simple Absolute Absolute Squared

(Thousands) Moving Average Error % Error Error

Forecast Apr. 31 May 37 (20+24+27+31)/4 = 25.5 11.50 31.08 132.25

June 47 (24+27+31+37)/4 = 29.75 17.25 36.70 297.56

July 53 (27+31+37+47)/4 = 35.5 17.50 33.02 306.25

Aug. 62 (31+37+47+53)/4 = 42.00 20.00 32.26 400.00

Sept. 54 (37+47+53+62)/4 = 49.75 4.25 7.87 18.06

Oct. 36 (47+53+62+54)/4 = 54.00 18.00 50.00 324.00

Nov. 32 (53+62+54+36)/4 = 51.25 19.25 60.16 370.56

Dec. 29 (62+54+36+32)/4 = 46.00 17.00 58.62 289.00

Total 124.75 309.71 2,137.68

Average 15.59 38.71 267.21

* mergeformat

3. .Comparison of performance

Question Measure 3-Month 4-Month Recommendation

SMA SMA c. MAD 12.67 15.59 3-month SMA

d. MAPE 32.39 38.71 3-month SMA

e. MSE 195.80 267.21 3-month SMA

4.Dalworth Company (continued)

a.Three-month weighted moving average (weights of 3/6, 2/6, and 1/6)

Month Actual Sales Three-Month Weighted Absolute Absolute % Squared

(000s) Moving Average Forecast Error Error Error

Jan. 20 Feb. 24 Mar. 27 Apr. 31 [(327)+(224)+(l 20)]/6 = 24.83 6.17 19.90 38.07

May 37 [(331)+(227)+(l 24)]/6 = 28.50 8.50 22.97 72.25

June 47 [(337)+(231)+(l 27)]/6 = 33.33 13.67 29.09 186.87

July 53 [(347)+237)+(l 31)]/6 = 41.00 12.00 22.64 144.00

Aug. 62 [(353)+(247)+(l 37)]/6 = 48.33 13.67 22.05 186.87

Sept. 54 [(362)+(253)+(l 47)]/6 = 56.50 2.50 4.63 6.25

Oct. 36 [(354)+(262)+(l 53)]/6 = 56.50 20.50 56.94 420.25

Nov. 32 [(336)+(254)+(l62)]/6 = 46.33 14.33 44.78 205.35

Dec. 29 [(332)+(236)+(l 54)]/6 = 37.00 8.00 27.59 64.00

Total 99.34 250.59 1,323.91

Average 11.04 27.84 147.09

* mergeformat

5symbol 45 f “Symbol” s 12e.Comparison of performance

Question Measure 3-Month Exponential Recommendation

WMA Smoothing c. MAD 11.04 10.34 Exponential smoothing

d. MAPE 27.84 25.85 Exponential smoothing

e. MSE 147.10 128.03 Exponential smoothing

6.Exponential smoothing (symbol 97 f “Symbol” s 12 = 0.6)

Month Dt Ft Ft+1 = Ft + symbol 97 f “Symbol” s 10(Dt symbol 45 f “Symbol” s 10 Ft) Absolute Absolute Squared

(t) (millions) Error % Error Error

Jan. 20 22.00 20.80 Feb. 24 20.80 22.72 Mar. 27 22.72 25.29 Apr. 31 25.29 28.72 5.71 18.41 32.60

May 37 28.72 33.69 8.28 22.38 68.56

June 47 33.69 41.67 13.31 28.32 177.16

July 53 41.67 48.47 11.33 21.38 128.37

Aug. 62 48.47 56.59 13.53 21.82 183.06

Sept. 54 56.59 55.04 2.59 4.80 6.71

Oct. 36 55.04 43.62 19.04 52.88 362.52

Nov. 32 43.61 36.64 11.61 36.28 134.79

Dec. 29 36.65 32.06 7.65 26.38 58.52

Total 93.05 232.65 1,152.29

Average 10.34 25.85 128.03

7.Convenience Store

May

June

July

8.Utility company

Quarter Year 1 Year 2 Year 3 Year 4

1 103.5 94.7 118.6 109.3

2 126.1 116.0 141.2 131.6

3 144.5 137.1 159.0 149.5

4 166.1 152.5 178.2 169.0

Total 540.2 500.3 597.0 559.4

Average 135.05 125.075 149.25 139.85

Quarter Year 1 Year 2 Year 3 Year 4 Average

Seasonal Index

1 0.7664 0.7571 0.7946 0.7816 0.7749

2 0.9337 0.9274 0.9410 0.9410 0.9371

3 1.0700 1.0961 1.0653 1.0690 1.0751

4 1.2299 1.2193 1.1940 1.2084 1.2129

Total 4 4 4 4 4

Forecast for Year 5

Quarter Average Demand Adjusted per Quarter Demand 1 195 151.1055 = 151

2 195 182.7345 = 183

3 195 209.6445 = 210

4 195 236.5155 = 237

780 780

9.Garcia Garage

a.The results, using the Regression Analysis Solver, are:

* mergeformat

The regression equation is

b.Forecasts

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