Application of Fuzzy-MRP-II in fast moving consumer goods manufacturing industry

Niu, J; Dartnall, J

Application of Fuzzy-MRP-II in fast moving consumer goods manufacturing industry

Niu, J Dartnall, J

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - Winter Simulation Conference, 2008, pp. 1939 - 1945
Issue Date:: 2008-12-01

Closed Access

	Filename	Description	Size
	2008003970OK.pdf		848.55 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Niu, J	en_US
dc.contributor.author	Dartnall, J	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings - Winter Simulation Conference, 2008, pp. 1939 - 1945	en_US
dc.identifier.isbn	9781424427086	en_US
dc.identifier.issn	0891-7736	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11140
dc.description.abstract	In today's global marketplace, the information associated with a product is fast becoming a critical link in the supply chain. Especially in fast moving consumer goods (FMCGs) industry, there is more fierce competition and more unstable requirement. Most plants use Manufacturing Resource Planning (MRP-II) system to manage the process of production. But how to deal with the uncertain and imprecise requirement in the middle term production schedule and make a best plan for best profit is a main problem in this system. In this paper, we investigate the method named Fuzzy-MRP-II to deal with the uncertainty and imprecision. Fuzzy-MRP-II shows all of the information for the decision makers allowing them to consider all possibilities of the orders. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - Winter Simulation Conference	en_US
dc.relation.isbasedon	10.1109/WSC.2008.4736286	en_US
dc.title	Application of Fuzzy-MRP-II in fast moving consumer goods manufacturing industry	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Miami, Florida, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In today's global marketplace, the information associated with a product is fast becoming a critical link in the supply chain. Especially in fast moving consumer goods (FMCGs) industry, there is more fierce competition and more unstable requirement. Most plants use Manufacturing Resource Planning (MRP-II) system to manage the process of production. But how to deal with the uncertain and imprecise requirement in the middle term production schedule and make a best plan for best profit is a main problem in this system. In this paper, we investigate the method named Fuzzy-MRP-II to deal with the uncertainty and imprecision. Fuzzy-MRP-II shows all of the information for the decision makers allowing them to consider all possibilities of the orders. © 2008 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11140