MIS 511 Phase I

8/2/2019 MIS 511 Phase I

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Boğaziçi University MIS Dept.

MIS 511 – Sales and Distribution Database

Instructor: Assist. Prof. Osman Darcan

Abide Coşkun

Ercan Ay

Murat Umut İzer

Phase I

FALL 2011 – 2012

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INDEX

1. APPLICATION DESCRIPTION ................................................................................... 2

1.1. Presentation of the Company and the System.......................................................... 2

1.2. Users of the Database ............................................................................................... 3

1.3. Entities of the Database ........................................................................................... 3

1.4. Inputs of the Database .............................................................................................. 3

1.5. Data Constraints of the Database ............................................................................. 4

1.6. Reports of the Database ........................................................................................... 6

1.7. Operations of the Database ...................................................................................... 6

2. CONCEPTUAL DATA MODEL ................................................................................... 6

2.1. Entity-Relationship Diagram ................................................................................... 7

3. LOGICAL DATA MODEL ............................................................................................ 8

3.1. Normalized Relational Schema................................................................................ 8

3.2. Primary Keys ........................................................................................................... 8

3.3. Referential Integrity Constraints .............................................................................. 9

3.4. Functional Dependencies ......................................................................................... 9

4. PHYSICAL DATA MODEL ........................................................................................ 10

4.1. DDL SQL Statements ............................................................................................ 10

4.1.1. ‘CUSTOMER’ Table ...................................................................................... 10

4.1.2. ‘PRODUCT’ Table ......................................................................................... 11

4.1.3. ‘PERSONNEL’ Table..................................................................................... 12

4.1.4. ‘ORDER’ Table .............................................................................................. 12

4.1.5. ‘WAREHOUSE’ Table ................................................................................... 13

4.1.6. ‘DELIVERY’ Table........................................................................................ 13

4.1.7. ‘INVOICE’ Table ........................................................................................... 14

4.1.8. ‘STORE’ Table ............................................................................................... 14

5. OPERATIONS AND REPORTS ................................................................................. 165.1. DML SQL Statements for Operations ................................................................... 16

5.2. DML SQL Statements for Reports ........................................................................ 16

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1. APPLICATION DESCRIPTION

1.1. Presentation of the Company and the System

The Hayat Group, the share capital of which is under the possession of the Kiğılı

Family, primarily shows activity in the chemicals and wood-based industry. Hayat Group

consists of:

Hayat Chemicals Inc.

Hayat Cleaning and Sanitary Products Corp.

Limaş Port Enterprises Inc.

Yongapan Forestry Products Inc.

Hayat Chemicals Cleaning and Sanitary Products is manufacturing household

cleaning products, baby-care products, feminine hygienic products and personal care

products with its state-of-the-art technology in its İzmit-Yeniköy Integrated

Manufacturing Facilities.

The company uses ERP system built on SAP software. The system consists of several

modules which provide overall control and manageability. The most important modules

are listed below:

MM (Materials Management)

PP (Production Planning)

SD (Sales and Distribution)

Besides the main modules, Hayat Group uses also the assistant SAP modules such as:

FI (Financial Accounting)

CO (Controlling)

PS (Project Systems)

QM (Quality Management)

BW (Business Warehousing)

PM (Plant Maintenance)

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1.2. Users of the Database

In our project, we will create a database for the SD module. In this database, users of

the system are:

Sales personnel

Delivery personnel

Warehousemen

Accountants

Customers

SAP consultants

1.3. Entities of the Database

Entities of the database are:

Order

Personnel

Delivery

Product

Customer

Warehouse

Invoice

1.4. Inputs of the Database

In addition, the inputs of the database are:

Customer data (customer ID, customer name, customer type, customer

address(country, city, street), phone, e-mail, fax)

Personnel data (SSN, name, surname, type, department, salary, address,

phone, e-mail)

Product data (product ID, product name, product type, brand, unit price,

description, status, product weight, product volume)

Order data (order ID, order date, order status)

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Delivery data (delivery ID, delivery date, delivery cost, delivery status,

delivery channel, total weight, total volume)

Invoice data (invoice number, date, sum, total tax)

Warehouse data (warehouse number, location, city, capacity)

Store data(product quantity, stock amount)

1.5. Data Constraints of the Database

Data constraints of the database are as follows:

Attributes having only numerical characters:

o Customer ID(8 digits and not null)

o Customer phone(15 digits)

o Customer Fax(15 digits)

o Product ID (8 digits and not null)

o Unit price (5 digits )

o Product weight (4 digits)

o Product volume (5 digits)

o Order ID (8 digits and not null)

o SSN (7 digits and not null)

o Salary (5 digits)

o Personnel phone(10 digits)

o Delivery ID (8 digits and not null)

o Delivery cost (6 digits)

o Total weight (8 digits)

o Total volume (10 digits)

o Warehouse number (2 digits and not null)

o Capacity (10 digits)

o Invoice number (8 digits and not null)

o Sum (8 digits)

o Total tax (5 digits)

o Product quantity (6 digits)

o Stock amount (6 digits)

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1.6. Reports of the Database

Reports produced by the system may include:

Order summary reports

Invoice reports

Customer activity reports

Stock summary reports

1.7. Operations of the Database

Operations that are included in the database are:

Order Entry

Stock Control

Order Delivery

Order Billing

2. CONCEPTUAL DATA MODEL

The system works as follows:

When a customer demands to buy a product, the attributes of the customer are

recorded or updated in the database. An order is created by the sales personnel, the

relevant product data is called by the system. Afterwards, the amount of the relevant

product(s) in the warehouse(s) is controlled by the warehousemen, if it is sufficient, an

invoice is prepared and the relevant product(s) will be delivered with the invoice of the

order. After the delivery step, the warehouse data will be updated and the accountant will

update invoice data.

The limitations of the database may be:

A product without an invoice should not be delivered.

If the amount of a product in the warehouse is insufficient, an order will not

be produced.

Customers will only be able to reach the relevant order information.

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2.1. Entity-Relationship Diagram

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3. LOGICAL DATA MODEL

3.1. Normalized Relational Schema

3.2. Primary Keys

Primary key of each relation are as follows:

Customer_ID

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Order_ID

SSN

Product_ID

Warehouse_No

Delivery_ID

3.3. Referential Integrity Constraints

Referential integrity constraints of the database are:

Customer_ID (FK)Customer_ID (PK)

Order_ID (FK) Order_ID (PK)

Personnel_ID (FK)

SSN (PK)

Product_ID (FK) Product_ID (PK)

Delivery_ID (FK) Delivery_ID (PK)

Warehouse_No (FK)Warehouse_No (PK)

3.4. Functional Dependencies

Functional dependencies of the database are shown below:

CUSTOMER (Customer_ID, C_Name, C_Country, C_City, C_Street,

C_Phone, C_Email, C_Fax)

ORDER (Order_ID, Customer_ID, O_Date, O_Status, Personnel_ID,

Delivery_ID)

PERSONNEL (SSN, Name, Surname, Type, Department, Salary, Address,

Phone, Email)

PRODUCT (Product_ID, P_Name, P_Type, P_Brand, Unit_Price,

Description, Status, P_Weight, P_Volume) WAREHOUSE (Warehouse_No, Location, City, Capacity, Personnel_ID)

DELIVERY (Delivery_No, D_Date, D_Cost, D_Status, D_Channel,

Total_Weight, Total_Volume, Personnel_ID)

INVOICE (Invoice_No, Order_ID, Date, Sum, Tax_Amount, Personnel_ID)

STORE (Order_ID, Product_ID, Warehouse_No, P_Quantity, Stock_Amt)

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4. PHYSICAL DATA MODEL

4.1. DDL SQL Statements

4.1.1. ‘CUSTOMER’ Table

CREATE TABLE CUSTOMER (

Customer_ID int NOT NULL IDENTITY (1,1),

C_Name char (50) NOT NULL,

C_Type char(25) NULL,

Product_ID int <pk> Product_ID int <pk>,<fk1> Warehouse_No int <pk>P_Name char(50) Order_ID int <pk>, <fk2> Personnel_ID int <fk>

P_Type char(25) Warehouse_ID int <pk>, <fk3> Location char(25)

Brand char(25) P_Quantity numeric(6,2) Capacity char(10)

Unit_Price numeric(5) Stock_Amt numeric(6,2) City char(25)

Description varchar(50)

Status char(25)

P_Weight numeric(4,2) FK_PERSONNEL_CONTROLS_WAREHOUSE

P_Volume numeric(5,2)

Order_ID int <pk> SSN int <pk>

Customer_ID int <pk> Customer_ID int <fk> Name char(25)

C_Name char(50) Personnel_ID int <fk> Surname char(25)

C_Type char(25) Delivery_ID int <fk> Type char(25)Country char(25) O_Date datetime Department char(20)

City char(25) O_Status char(10) Salary char(5)

Street char(25) Address char(50)

C_Phone char(15) Phone char(10)

C_Email char(25) Email char(25)

C_Fax char(15) FK_PERSONNEL_CREATES_INVOICE

FK_PERSONNEL_PERFORMS_DELIVERY

Invoice_No int <pk>

Order_ID int <fk>

Personnel_ID int <fk>

Date datetime Delivery_ID int <pk>

Sum numeric(8,2) Personnel_ID int <fk>

Total_Tax numeric(5,2) D_Date datetime

D_Cost numeric(6,2)

D_Status char(25)

D_Channel char(25)

FK_DELIVERY_RECEIVES_ORDER Total_Weight numeric(8,2)

Total_Volume numeric(10,2)

Invoice

FK_ORDER_HAS_INVOICE

Delivery

FK_PERSONNEL_TAKES_ORDER

FK_PRODUCT_IS_STORED

FK_ORDER_IS_STORED

FK_WAREHOUSE_IS_STORED

FK_CUSTOMER_GIVES_ORDER

Order

Product

Customer

Store Warehouse

Personnel

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C_Country char(25) NULL,

C_City char(25) NULL,

C_Street char(25) NULL,

C_Phone char(15) NULL,

C_Email char (25) NULL,

C_Fax char(15) NULL,

CONSTRAINT CustomerPK PRIMARY KEY (Customer_ID)

);

4.1.2. ‘PRODUCT’ Table

CREATE TABLE PRODUCT (

Product_ID int NOT NULL IDENTITY (1,1),

P_Name char(50) NOT NULL,

P_Type char(25) NULL,

P_Brand char(25) NULL,

Unit_Price numeric(5,2) NULL,

Description varchar(50) NULL,

Status char(25) NULL,

P_Weight numeric(4,2) NULL,

P_Volume numeric(5,2) NULL

CONSTRAINT ProductPK PRIMARY KEY (Product_ID),

CONSTRAINT ProductStatusValues (Status IN (‘available’, ‘not available’))

);

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ON DELETE NO ACTION ON UPDATE CASCADE,

CONSTRAINT DeliveryFK FOREIGN KEY (Delivery_ID) REFERENCES

DELIVERY (Delivery_ID)

ON DELETE NO ACTION ON UPDATE CASCADE,

CONSTRAINT StatusValues (O_Status IN (‘Accepted’, ‘Rejected’)),

);

4.1.5. ‘WAREHOUSE’ Table

CREATE TABLE WAREHOUSE (

Warehouse_No int NOT NULL IDENTITY (1,1),

Location char(25 ) NULL,

Capacity char(10) NULL,

City char(25) NULL,

CONSTRAINT WarehousePK PRIMARY KEY (Warehouse_No)

CONSTRAINT PerssonnelFK FOREIGN KEY (Personnel_ID) REFERENCES

PERSONNEL(SSN)

ON DELETE SET DEFAULT ON UPDATE CASCADE,

);

4.1.6. ‘DELIVERY’ Table

CREATE TABLE DELIVERY (

Delivery_ID int NOT NULL IDENTITY (1,1),

D_Date datetime NULL,

D_Cost numeric(6,2) NULL,

D_Status char(25) NULL,

D_Channel char(25) NULL,

Total_Weight numeric(8,2) NULL,

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Total_Volume numeric(10,2) NULL,

CONSTRAINT DeliveryPK PRIMARY KEY (Delivery_ID),

CONSTRAINT PersonnelFK FOREIGN KEY (Personnel_ID) REFERENCES

PERSONNEL(SSN)


CONSTRAINT DstatusValues (D_Status IN (‘delivered’, ‘not delivered’)),

);

4.1.7. ‘INVOICE’ Table

CREATE TABLE INVOICE (

Invoice_No int NOT NULL IDENTITY (1,1),

Date datetime NULL,

Sum numeric(8,2) NULL,

Total_Tax numeric(5,2) NULL,

CONSTRAINT InvoicePK PRIMARY KEY (Invoice_No),

CONSTRAINT OrderFK FOREIGN KEY (Order_ID) REFERENCES ORDER(Order_ID)


CONSTRAINT PersonnelFK FOREIGN KEY (Personnel_ID) REFERENCES

PERSONNEL(SSN)


);

4.1.8. ‘STORE’ Table

CREATE TABLE STORE (

Product_ID int NOT NULL IDENTITY (1,1),

Order_ID int NOT NULL, IDENTITY(1,1),

Warehouse_No int NOT NULL, IDENTITY(1,1)

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Stock_Amt numeric(6,2) NULL,

P_Quantity numeric(6,2) NULL,

CONSTRAINT StorePK PRIMARY KEY (Product_ID, Order_ID,

Warehouse_No),CONSTRAINT ProductFK FOREIGN KEY (Product_ID) REFERENCES

PRODUCT(Product_ID),

CONSTRAINT OrderFK FOREIGN KEY (Order_ID) REFERENCES

ORDER(Order_ID),

CONSTRAINT WarehouseFK FOREIGN KEY (Warehouse_No)

REFERENCES WAREHOUSE(Warehouse_No),

);

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5. OPERATIONS AND REPORTS

5.1. DML SQL Statements for Operations

Order Entry:

INSERT INTO ORDER (O_date, O_status, Customer_ID, Personnel_SSN, Delivery_ID)

VALUES (‘2011-11-30 13:10:00’, ‘accepted’, 5, 1, 50);

INSERT INTO STORE (Product_ID, Order_ID, Warehouse_No, P_Quantity)

VALUES (15,10,3, 500);

Stock Control:

UPDATE STORE

SET Stock_Amt = 2500

WHERE Product_ID = 15 and Warehouse_No= 3;

5.2. DML SQL Statements for Reports

Order summary reports:

SELECT Order.OrderID, Order.Year, Order.Month, Order.Gün, Order.Status,

Customer.CustomerID, Delivery.D_Date, Delivery.D_Status

FROM Delivery INNER JOIN (Customer INNER JOIN [Order] ON

Customer.[CustomerID] = Order.[CustomerID]) ON Delivery.[DeliveryID] =

Order.[DeliveryID];

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Invoice reports:

SELECT Invoice.InvoiceNo, Order.OrderID, Invoice.Date, Invoice.Sum,

Invoice.TotalTax, Personnel.SSN, Personnel.Name, Personnel.Surname

FROM (Personnel INNER JOIN Invoice ON Personnel.[SSN] = Invoice.[P_SSN])

INNER JOIN [Order] ON Invoice.[InvoiceNo] = Order.[InvoiceNo];

Customer activity reports:

SELECT Store.OrderID, Customer.CustomerID, Store.ProductID, Order.Year,

Order.Month, Order.Gün, Store.P_Quantity

FROM (Customer INNER JOIN [Order] ON Customer.[CustomerID] =

Order.[CustomerID]) INNER JOIN Store ON Order.[OrderID] = Store.[OrderID];

Stock summary reports:

SELECT Product.ProductID, Product.P_Name, Store.WarehouseNo,

Warehouse.Location, Store.StockAmount

FROM Warehouse INNER JOIN (Product INNER JOIN Store ON Product.[ProductID]

= Store.[ProductID]) ON Warehouse.[WarehouseNo] = Store.[WarehouseNo];

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