Inventory Table Design

Apr 17, 2008

I am designing a BI solution for a large manufacturer. They process big ticket items. They track their inventory by each piece. I need to know where each item is located, where it came from, when it arrived, has it been processed, ect. Along with that I have to be able to run reports by day/week/month/year that shows current inventory levels at any point in time.

What I arrived at for table design is each item will get a row which will include a column for date and another for Add_Remove. When the item is added to inventory it gets a date and a +1 for Add_Remove. When it is removed it gets a new row with a date and a -1 in the Add_Remove column. I should be able to add the Add_Remove column for the selected rows (by location, type, etc) from the beginning of time to any point in time and get a current total. If I'm reporting by month for the year I should be able to add from time(0) to lastitem in January to get January levels, then the same for each successive month.

The problem I can't figure out the MDX code to do that. My basic data set is as follows:

SELECT NON EMPTY { [Measures].[Total], [Measures].[Add Remove], [Measures].[Inventory Weight] } ON COLUMNS, NON EMPTY { ([Ship From].[Ship From Region].[Ship From Region].ALLMEMBERS * [Ship From].[Ship From].[Ship From].ALLMEMBERS * [Date Received].[Date].[Date].ALLMEMBERS * [Date Received].[Year].[Year].ALLMEMBERS * [Date Received].[Month].[Month].ALLMEMBERS) } DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM
( SELECT ( STRTOSET(@Region, CONSTRAINED) ) ON COLUMNS FROM
( SELECT ( STRTOMEMBER(@FromDateReceivedMonth, CONSTRAINED) : STRTOMEMBER(@ToDateReceivedMonth, CONSTRAINED) ) ON COLUMNS FROM
( SELECT ( STRTOSET(@InventoryType, CONSTRAINED) ) ON COLUMNS FROM
( SELECT ( STRTOSET(@Division, CONSTRAINED) ) ON COLUMNS FROM [Heidtman DW]))))
WHERE
( IIF( STRTOSET(@Division, CONSTRAINED).Count = 1, STRTOSET(@Division, CONSTRAINED), [Organization].[Division].currentmember ),
IIF( STRTOSET(@InventoryType, CONSTRAINED).Count = 1, STRTOSET(@InventoryType, CONSTRAINED), [Inventory Type].[Inv Type].currentmember ) )
CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS

Any ideas? I've tried adding ordered sets to the query with no success. I've tried calculate measures in the cube with less success. My time dimension includes every day from 1/1/1980 to 12/31/2050.

The one calculated memeber i tried - AGGREGATE ([Date Shipped].[Date].[Date].Item(0):Tail(existing [Date Shipped].[Date].[Date]).Item(0)) took 20 minutes to run in VS Browser and produced an error for every date in the time dimension......

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Product name   :  
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Hi! I'm kinda stuck in getting a particularly tricky qurey...


SQL Code:






Original
- SQL Code




SELECT DISTINCTROW Categories.CategoryName, Products.ProductName, Sum(CCur([Order Details].[UnitPrice]*[Quantity]*(1-[Discount])/100)*100) AS ProductSales
FROM (Categories INNER JOIN Products ON Categories.CategoryID = Products.CategoryID) INNER JOIN (Orders INNER JOIN [Order Details] ON Orders.OrderID = [Order Details].OrderID) ON Products.ProductID = [Order Details].ProductID
WHERE (((Orders.ShippedDate) Between #1/1/1995# And #12/31/1995#))
GROUP BY Categories.CategoryName, Products.ProductName;






SELECT DISTINCTROW Categories.CategoryName, Products.ProductName, SUM(CCur([ORDER Details].[UnitPrice]*[Quantity]*(1-[Discount])/100)*100) AS ProductSalesFROM (Categories INNER JOIN Products ON Categories.CategoryID = Products.CategoryID) INNER JOIN (Orders INNER JOIN [ORDER Details] ON Orders.OrderID = [ORDER Details].OrderID) ON Products.ProductID = [ORDER Details].ProductIDWHERE (((Orders.ShippedDate) BETWEEN #1/1/1995# And #12/31/1995#))GROUP BY Categories.CategoryName, Products.ProductName;



The above SQL statement is from the famous Northwind DB and it is called the "Product Sales for 1995" query...

I have Transactions instead of Orders and TransactionDetails instead of [Order Details]

Now, I want something similar... I want to render Dead Stock and Fast Stock... I'm using ComponentOne's Reporting solution and it pretty much like Access.

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If total sold is ascending = Dead Stock
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Hello..

I am designing a Database Application that covers Inventory System. And I am now in a dilemma of chosing which design to track Inventory stock better, in performance, reliability, and error free?




1st Design

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ItemID
ItemName
Price
QtyOnHand
..and other unique info of the product..

SALES TABLE
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Date
...etc...

SALESDETAIL TABLE
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ItemID
QtySold
Price

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Date
...etc...

PURCHASEDETAIL TABLE
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ItemID
QtyPurchase
Price
...etc...

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2nd Design

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ItemID
ItemName
Price
...etc...

INVENTORY TABLE
ItemID
QtyBegin
...etc...

SALES TABLE
SalesID
Date
...etc...

SALESDETAIL TABLE
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ItemID
QtySold
Price
...etc...

and similar design with PURCHASE+DETAIL, SALESRETURN+DETAIL, PURCHASERETURN+DETAIL, ADJUSTMENT+DETAIL

The later design does not hold QtyOnHand, but only save QtyBegin instead. To get the QtyOnHand, it uses views/stored procedure with Union Query, so it looks like this:

QtyOnHand = QtyBegin + Sum(QtySold) + Sum(QtyPurchase) + Sum(QtySalesReturn) + ........

And at the end of a accounting period, the calculation of the QtyOnHand will be the QtyBegin of the next accounting period.

According to you guys, which way is better in PERFORMANCE, RELIABILITY, ERROR FREE, and why? What are the pros and cons of these two?

Thanks a lot.

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Data is as follows:
<<<<< ORIGINAL DATA >>>>>>>>>>>>>>>>

Code:
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[Code] ....

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version used : SQL Server 2000 with service pack updates.


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[qqqq] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[rrrr] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[ssss] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[tttt] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[uuuuu] [varchar] (2000) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[vvvvv] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[wwwww] [varchar] (150) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[xxxxx] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[yyyyy] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[zzzzz] [int] NULL ,
[abc] [varchar] (500) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[def] [datetime] NULL ,
[ghi] [datetime] NOT NULL ,
[jkl] [varchar] (1000) COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,
[mno] [bigint] NULL
) ON [PRIMARY]


I have created a table with above column width. The rowsize is more than 8kb.And the table holds millions of rows of data. So is it a correct way of designing the table?
Or how can I redesign this table.

Thanks.

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