FINAL PRESENTATIONRicardo Ambriz, Ryan Cabrera, Jin Jang, JiYang Liu, Justin Nakamura, YanWen Wang, Justin Wu

MECHANICAL ENGINEERING

MACHINE SHOP

Group 7

Overview

Client Description EER Diagram/Previous DP Review

Results Relations Normalization Queries and Implementation Sample Forms

Students and Faculties Machine Shop

Largest Manufacturing machine shop on campus

Prepare students for physical design and prototype courses

Work station of competitive teams such as Berkeley Solar Car Team and Civil Engineering Bridge Building Team, etc.

Also provides the facility for certain paid projects.

What’s Expected From Us

Needs:

1. Assign schedules to students for different training phase on different date and time

2. Assign and update schedules for the many student organizations that use the machine shop for projects

3. Keep in check with the depreciation of the machines and tools they have in the shop

4. Record all the repair history about the machine and tools

5. Record the inflow and outflow of the materials Wants:

1. Find an optimal solution so that a maximum of 200 students can be trained

2. Prevent random students from signing up and taking up time slots

3. Ensure both administrators and students can access the information, but have different securities so that students can only access limited information

4. Enable students access of the training schedule and sign ups online

Relations

1. PERSON(PID, Fname, MI, LName, BDATE, Email, Phone#, Address)

1a) ALUMNI(AlumID1 , Grad_date, Grad_major)

1b) STUDENT(StudentID1 , SID, Major, Minor, Class, Basic_Training_Done)

1c) STAFF(StaffID1,Job_Title, Salary)

1d) PROF(ProfessorID1, Department, Specialization,Tenure)

2. AUTHORIZED_FOR(Pid1, MachineID5)

3. MAINTENANCE(MachineID5, TID47, StaffID1c, Description, Cost)

4. PROJECT(ProjectID, Project_Name, Description, ProfessorID1d, ProjectTeamID4,MachineListID17)

4a) PAID(ProjectID3, Amount)

4b) CLASS(ProjectID3, CID, Semester, Year) // CID is like CCN from telebears

4c) ORG(ProjectID3, Organization_Name)

5. PROJECTTEAM (ProjectTeamID, Team_Member1, Team_Name, Sponsoring_Department, Team_Leader_PID1, Team_Leader_Contact#)

Relations

6. MACHINE(MachineID, Manufacturer, Purchase_Date, Machine_Type, Price, Width, Length, Height)

7. MACHINEPART(MachineID6, MachinePartID, Name, Type, Model, Size, Manufacturer)

8. DRILL_PRESS(MachineID6, Condition, Variable_speeds, Table_functionality, Quill_Travel, Depth-stops, Horsepower, Size/Center_drilling_capacity)

9. ENGINE_LATHE(MachineID6,Condition, Accessory, RPM)

10. MILLING(MachineID6, Type, Category, Electronic_Layout_System, Self-contained_electronic_drive, Coolant_system, Variable_spindle_speeds)

11. PEDESTAL_GRINDER(MachineID6,Category, Accessory, RPM)

12. BELT_SANDER(MachineID6,Power, Variable_Speed, Release_Lever_Type, Tracking_Control, Dust_Collection, Noise_Level)

13. RADIAL_DP(MachineID6, Condition, Variable_speeds, Table_functionality, Quill_Travel, Depth-stops, Horsepower, Size/Center_drilling_capacity)

14. VERTICAL_BANDSAW(MachineID6,Bandsaw_Speed, Range)

15. TOOL_SHARPENER(MachineID6, RPM)

16. HORZ_BANDSAW(MachineID6,Automatic_Feed_System, Hydraulic_Control_System)

17. MACHINELIST(MachineListID, MachineID6)

Relations

18. BASICTRAINING(BasicTrainID,TID20, Phase, MachineListID17, StaffID1c)

19. BASICENROLLMENT(SID1b, BasicTrainID18)

20. ADVANCEDTRAINING(AdvancedTrainID, TID20, Description, MachineListID17, StaffID1c)

21. ADVANCEDENROLLMENT(PID1,AdvancedTrainID18)

 

22. TIME_SLOT(TID,YEAR,MONTH,DAY,HOUR:MINUTE)

23. MACHINE_LOG(TID22, Login, Logout, PID1, ProjectID4, TrainID18, Minutes_past_hour)

Normalization

First Normal Form:

PERSON(PID, Fname, MI, LName, BDATE, Email, Phone#, Address)

Relation PERSON is not in 1NF because Email, Phone#, Address (Permanent and Local) could all be multi-valued attributes.

To normalize to 1NF:

PERSONINFO(PID, Fname, MI, Lname, BDATE)

PEmails(PID, Email)

PPhones(PID, Phone#)

PAddresses(PID, Address)

Normalization

Second Normal Form: 

MACHINE(MachineID, Manufacturer, Purchase_Date) 

MACHINEPART(MachineID6, MachinePartID, Name, Type, Model, Size, Manufacturer)

Consider the weak entity MACHINEPART:

It is in 2NF because it is in 1NF and every non-prime attribute is fully dependent on the Primary Key, no non-prime attribute can be determined form a subset of the PK.

Normalization

Third Normal Form: 

PROJECTTEAM (ProjectTeamID, Team_Member1, Team_Name, Sponsoring_Department, Team_Leader_PID1, Team_Leader_Contact#)

 

Consider the relation PROJECTTEAM in 1NF:

PROJECTTEAM (ProjectTeamID, Team_Name, Sponsoring_Department, Team_Leader_PID1, Team_Leader_Contact#)

PTMEMBERS(ProjectTeamID, PID) 

The relation PROJECTTEAM violates 3NF, to normalize:

PROJECTTEAM (ProjectTeamID, Team_Name, Sponsoring_Department, Team_Leader_PID1)

MAINCONTACT (Team_Leader_PID1, Team_Leader_Contact#)

Query 1-To Determine Monthly Demand Di

SELECT [Time Slot].Month, Count([Advanced Training Enrollment].AdvancedTrainID)*2 AS CountOfAdvancedTrainIDFROM [Time Slot], [Advanced Training Enrollment], Advanced_TrainingWHERE (((Advanced_Training.TID)=[Time Slot].[TID]) AND ((Advanced_Training.AdvancedTrainID)=[Advanced Training Enrollment].[AdvancedTrainID]))GROUP BY [Time Slot].Month;

 

SELECT [Time Slot].Month, Count([Basic Training Enrollment].BasicTrainID) AS CountOfBasicTrainID123FROM [Time Slot], [Basic Training Enrollment], [Basic Training]WHERE ((([Basic Training].TID)=[Time Slot].[TID]) AND (([Basic Training].BasicTrainID)=[Basic Training Enrollment].[BasicTrainID])) AND ([Basic Training].[Phase] = 1 OR [Basic Training].[Phase] = 2 OR [Basic Training].[Phase] = 3)GROUP BY [Time Slot].Month;

 

SELECT [Time Slot].Month, Count([Basic Training Enrollment].BasicTrainID)*2 AS CountOfBasicTrainID4FROM [Time Slot], [Basic Training Enrollment], [Basic Training]WHERE ((([Basic Training].TID)=[Time Slot].[TID]) AND (([Basic Training].BasicTrainID)=[Basic Training Enrollment].[BasicTrainID])) AND [Basic Training].[Phase] = 4GROUP BY [Time Slot].Month;

Query1

Advanced_Sessions_Hours + CountOfBasicTrainID123 + CountOfBasicTrainID4 = Di , (i in months)

Take data from several years to find correlation between number of students and Di Forecast next year’s number of students to find Di for next year.  

N f: Number of Full-Time Instructors in Month i

NT: Number of Temporary Instructors in Month i

FF , FT: Initial Hiring Cost for Full-Time, Temporary Staff

PF , PT: Pay per Hour for Full-Time, Temporary Staff

HF , HT: Hours per Month worked for Full-Time, Temporary Staff

 

Minimize Cost: PFHF(NF1+…+NF12) + PTHT(NT1+…+NT12) + FF(NewF1+…+NewF12) + FT(NewT1+…+NewT12)

Subject to Required_Work {i = 1, 2,…,12}: HFNFi + HTNTi >= Di

Subject to New_Hires {i = 2,3,…,12}: NFi = NF(i – 1) +NewFi

Subject to Minimum_F: NFi >= 1

Subject to Minimum_T: NTi >= 0

Query 1

Query 2

Find the average machine shop demand for each hour

SELECT [Time Slot].Hour, Count(Person.PID) AS TotalPeople, Max([Time Slot].TID) AS MAXH, [TotalPeople]/(([MAXH]+(24-[Time Slot].[Hour]))/24) AS AvgMachineDemand

FROM [Time Slot] INNER JOIN (Person INNER JOIN [Machine Log] ON Person.PID = [Machine Log].PID) ON [Time Slot].TID = [Machine Log].TID

GROUP BY [Time Slot].Hour;

Query 2

Query 2

Query 2

Query 3

Order students by how many basic training phases they are enrolled for now. Then predict, based on current enrollment, each student's expected schedule time for their phase 4 (last phase) enrollment to complete the basic training.

CREATE TABLE [PHASE] AS

Select s.SID, s.Fname, s.Lname, count(*) as num_phase_enrolled

From STUDENT s, BASICENROLLMENT be,

Where s.SID=be.SID

Group by s.SID

Order by count(*);

Query 3

For num_phase_enrolled = 1, not enough information to calculate the expected phase 4 enrollment schedule.

For num_phase_enrolled = 4, phase 4 enrollment is already scheduled.

For num_phase_enrolled = 2 and 3, do the following query to calculate the expected phase 4 enrollment schedule.

 

CREATE VIEW [EXP_TID1] AS

Select ph.SID, ph.Fname, ph.Lname, (bt2.TID - bt1.TID)*3+bt.TID as exp_TID

From PHASE ph, BASICENROLLMENT be, BASICTRAINING bt1, BASICTRAINING bt2, TIME_SLOT ts

Where ph.phase_done = 2 AND ph.SID = be.SID

AND be.basictrainID = bt1. basictrainID AND be.basictrainID = bt2. basictrainID

AND bt1.TID < bt2.TID;

Query 3

CREATE VIEW [EXP_TID2] AS

Select ph.SID, ph.Fname, ph.Lname, (bt3.TID - bt1.TID)*3/2+bt.TID as exp_TID

From PHASE ph, BASICENROLLMENT be, BASICTRAINING bt1, BASICTRAINING bt2, BASICTRAINING bt3, TIME_SLOT ts

Where ph.phase_done = 3 AND ph.SID = be.SID

AND be.basictrainID = bt1. basictrainID AND be.basictrainID = bt2. basictrainID

AND be.basictrainID = bt3. basictrainID

AND bt1.TID < bt2.TID AND bt2.TID < bt3.TID;

Query 3

CREATE VIEW [EXP_TID] ASSelect *From EXP_TID1, EXP_TID2; Select *, ts.year, ts.month, ts.day, ts.hourFrom EXP_TID et, TIME_SLOT tsWhere et.exp_TID = ts.TID;

Query 4

For each machine, estimate the number of usage hours remaining until the next maintenance service should be performed.

Create view [result1] as

Select m.machinetype, mt.tid

From machine m, maintenance mt

Where m.machineid = mt.machineid 

Create view [result2] as

Select m.machinetype, avg(r1.tid-r2.tid) as AvgMaint

From result1 r1, result1 r2

Where r1.tid>r2.tid

Group by m.machinetype

Query 4

Select ml.machineid, sum(ml.logout – ml.login) as NumHoursUsed, r.AvgMaint as AvgMaint, (AvgMaint – NumHoursUsed) as HoursRemaining

From machinelog ml, result2 r, machine mWhere r.machinetype = m.machinetype

AND ml.machineid = m.machineidGroup by ml.machineid

Sample Forms

Sample Forms

Sample Forms

ME MACHINE SHOP

Q&A