Higher sales at apizza store-prepared by –20092375 Kim tae joon

20102356 Kim kyeong seok

20122397 Choi eun young

Contents1. Project Selection

2. Problem Selection

3. Utilizing tools

4. Results and Analysis(1)

5. X-Y Matrix

6 Results and Analysis(2)

1. Project Selection

-We will be able to increase sales of the newly opened pizza store

-We have used a 'minitab' program and variety of techniques of Industrial Engineering-Accurate and heighten their profits with high probability

2.

There are many mistakes because the newly opened store in the first place.

I out and will have been repairing that problem- Inefficient staffing be badly arranged- It takes a long time to production in the Services.- to expensive- Staff training and proficiency of staff is insufficient

Problem Selection

3. Utilizing tools

-CTQ : As well as service or product key property that has the greatest effect on the quality in the process.

-Brainstorming : How to adopt the conference format with respect to certain themes, by requiring the presentation of ideas through the free speech of members trying to find a concept

-Pareto Chart : Simple frequency distribution or histogram of the coefficient type data indicating Add belong to any category.

3. Utilizing tools

Process Mapping : Represents the processing procedure of the experiment

3. Utilizing tools

- Mini Tab : Statistics Software

3. Utilizing tools

The following graph is the result that I carry out the delivery time of the first test with a minitabYou follow the normal distribution and you can know that standard deviation is very big.

4. Results and Analysis(1)

1Round Total delivery time

Average

Standard deviation

259sec

100sec

Sigma level(Zst)

Acceptable product

1.3

43%

-Ppk (the process of work perfor-mance index): it is determined be-cause the fair ability is deficient with the fair ability of -0.06 and there is the possibility of the growth.

- The Sigma level is the probability that I have been being contained in range on the standard value in which the result of the action is decided.

Zbench(Up values and standards beyond the sum of the down-ward) : This graph is the value be-yond the upper limit, because only the upper limit.

4. Results and Analysis(1)

1Round Failure rate

Defect

Opportunity

DPO

86

326

0.24

Acceptable product 76%

Sigma level(Zst)

2.2

-P control chart tells the management state of the process.

-The stability fitness within 23.75 % and 28.75 %.

- The process of work Z is very bad due to 0.7087. This process of work tells through this price that there is lots of room of the improvement.

4. Results and Analysis(1)

5.X-Y Matrix

Critical to Quality(CTQ) Order time Production timeInspection and de-

livery time Total=

∑( 중요도 * 상관도 )Weight(sum=10) 2 4 4

Process Step

잠재 X`s 인자 • Project-Y 의 중요도는 1~10 점으로 중요도에 따른 가중치를 부여한다 .• 잠재 X`s 인자와 Project-Y 의 상관도 ; 10 점 척도 Total Rank

Order

Their inability to work deliv-eryman 10 1 10 64 1

Do not set the order of the messenger among 8 1 9 56 2

Production

order

Not familiar with creating plans 4 6 1 36 7

To delay delivery pizza maker 1 5 1 26 8

production

This recipe takes a long time confirmation 1 10 3 54 3

This takes a long time to ensure manufacturing op-erations

1 9 1 42 5

InspectionThis recipe takes a long time to inspect 1 1 9 42 5

Om the late delivery guy 1 1 8 38 6

delivery

The pizza delivery guy does not confirm receipt of the cus-tomer

1 1 10 46 4

4. Results and Analysis(2)

H0 Round 1 total delivery time is the normal distribution

H1 Round 1 total shipping time is not a normal distribution.

Results

Round 1 total delivery time is the normal distribution

H0 Round 2 total delivery time is the normal distribution

H1 Round 2 total shipping time is not a normal distribution

Results

Round 2 total delivery time is the normal distribution

4. Results and Analysis(2)

H0 1 The total delivery time round and the second round will spread There is no difference.

H1 1 The total delivery time round and the second round is spread is the difference

Alternative hypothesis(H1) Adopting.

1Round Distribution of total delivery time

2Round Distribution of total delivery time is

different.

The dispersion is improved => That is, the practical effect improvements.

=> The effect due to the increase experience

Analysis results

* Because the F qualification of the two qualification variance ratio

4. Results and Analysis(2)

H0 1 The total delivery time round and the second round will spread There is no difference.

H1 1 The total delivery time round and the second round is spread is the difference

Metrics

The number of data

2R total delivery time

20

Average

Standard deviation

178.5

47.7

Metrics

The number of data

1R total delivery time

20

Average

Standard deviation

258.5

99.8

Summary of results

Analysis results Issues of security and career growth 5.X-Y Matrix is that the effect of improving time.

4. Results and Analysis(2)

H0 There is a delivery time and relationships

H1 No delivery time and relationships

Metrics

The number of data 20

Average

Standard deviation

180

2.76

Metrics

The number of data

Order time, production time, inspection time, delivery time

20

Average

Standard deviation

30, 100, 33, 17

0.12, 3.6, 0.64, 2.32 ()

Summary of results

Analysis results Giving the most impact on total delivery time is production time and then time orders. Inspection time and delivery time does not matter.

4. Results and Analysis(2)

2R total delivery time

H0 Round defect rate = 2 Round defect rate

H1 1 Round defect rate ≠ 2 Round defect rate

Metrics

The number of data

2R- total defects

326

Average

Standard deviation

67

20.5%

Metrics

The number of data

1R- total defects

326

Average

Standard deviation

78

23.9%

Summary of results

Analysis results The null hypothesis is adopted, the defect rate was not different

4. Results and Analysis(2)

Round 1 Round 2 Result

Time 1.31 2.76 2.98

Results confirm a lot of time on the most affected by the correla-tion analysis was determined by order time and production time.

flavor 2.21 2.32 2.03

Improvement of the defect rate of the winning Silver could not determine the failure rate was improved through other im-provements are required.

4. Results and Analysis(2)

THANK YOU