technology, mining the data generated, having done a thorough research in
the procurement of materials storage and picking out the materials, meanwhile, make a
relatively accurate forecasts in product sourcing components and parts picking operation
produces, so as to better guide procurement, better for the production of services.
Details as follows:
Fi r s t , D e t a i l e d a n a l y s i s o f p r i n c i p l e s o f t h e p r o d u c t s t r u c t u r e a n d m a t e r i a l
m a n a g e m e n t i n f o r m a t i o n s y s t e m , m a k e a t h o r o u g h r e s e a r c h i n i t s m a i n p r i n c i p l e s
s u c h a s B O M t e c h n o l o g y , m a t e r i a l s c o d i n g t e c h n o l o g y , t h e p r o d u c t s t r u c t u r e t r e e
building techniques, and data mining technology, aim at the existed system Information
s y s t e m p r o b l e m s b e f o r e t h e d e v e l o p m e n t o f t h e c o m p a n y ' s m a n a g e m e n t
m a k i n g a t a r g e t e d s o l u t i o n s o a s t o a v o i d e r r o r s i n b u i l di n g p r o d u c t s t r u c t u r e a n d
m a t e r i a l s m a n a g e m e n t i n f o r m a t i o n s y s t e m , m a k i n g t h e s y s t e m m o r e r a t i o n a l , m o r e
convenient to use.
Second, research the entire product design process for enterprises, manufacturing
process, parts inventory management processes on the spot, and then make the system
r e q u i r e m e n t s a n a l y s i s . T h r o u g h t h e f i e l d r e s e a r c h , f i n d o u t t h e c l o s e l i n k b e t w e e n
p r o d u c t s t r u c t u r e a n d m a t e r i a l i n f o r m a t i o n m a n a g e m e n t . Or d i n a r i l y pr o d u c t m i x
b e h a v e s t h r o u g h t h e B O M , a n d B O M p l a ys a s i g n i f i c a n t r o l e i n m a n a g e m e n t o f t h e
entire material information. BOM has a variety of views expressed in the form, EBOM
( d e s i g n B O M ) ; M B O M ( M a n u f a c t u r i n g B O M ) i s t h e u s e o f t w o f o r m s o f t h e
e n t e r p r i s e . T h e f o r m e r i s t h e b a s i s o f w h i c h p r o d u c t d a t a , w h i c h i s m a n u f a c t u r i n g
r e s o u r c e d a t a . B o t h f o r m s a r e o n t h e p r o d u c t d e s i g n a n d m a n u f a c t u r i n g p r o c e s s o f
p r o d u c t d a t a m a n a g e m e n t , a n d r u n s t h r o u g h t h e m i s t h e p r o d u c t s t r u c t u r e . T h e
difference is, EBOM is the form expression in product structure of the design process,
M B O M i s t h e f o r m e x p r e s s i o n i n t h e s h o p , a n d m a n i f e s t a t i o n o f t h e w a r e h o u s e ,
b o t h o f t h e m h av e i m p o r t a n t s i g n i f i c a n c e i n p r o d u c t p r o c u r e m e n t , s t o r a g e , a n d
circulation.
T h i r d, u s e t h e p l a n t ' s t e c h n i c a l d e p a r t m e n t s , w o r k s h o p s , w a r e h o u s e s
f o r objects t o an a lyze the i r b u s i n e s s n e e d s , b u i l d t h e p r o d u c t s t r u c t u r e a n d m a t e r i a l s
management information system model and materials information management concept
for product design, manufacturing. Combined with WEB technology, ASP.NET
t e c h n o l o g y , d a t a m i n i n g a n d s o o n, b u i l d i n g t h e p r o d u c t s t r u c t u r e a n d m a t e r i a l
m a n a g e m e n t i n f o r m a t i o n s y s t e m f r a m e w o r k , d i s c u s s e s t h e f e a t u r e s o f t h e s y s t e m
architecture, network topology, database structure, and system implementation process.
I n t h i s p a p e r , t h e p r o d u c t c h a r a c t e r i s t i c s o f i n f o r m a t i o n - b a s e d e n c o d i n g
components can significantly improve system capacity, improve product configuration
rationality, lay a good foundation for the production of BOM, and the system uses data
mining technology to optimize business and process of materials management, and can
make positive improvements in plant operation, storage management and so on.
Key Words: PDM, Enterprise Informatization, Product Mix, Material Management
System, Data Mining