Open AccessDevelopment of an OLAP Based Fuzzy Logic System for Supporting Put Away Decision
Author(s) -
H.Y. Lam,
S.H. Chung,
C.K.M. Lee,
G.T.S. Ho,
T.K.T. Yip
Publication year - 2009
Publication title -
international journal of engineering business management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.352
H-Index - 22
ISSN - 1847-9790
DOI - 10.5772/6779
Subject(s) - online analytical processing , computer science , data warehouse , outsourcing , supply chain , fuzzy logic , process (computing) , key (lock) , decision support system , process management , order (exchange) , operations research , knowledge management , database , business , data mining , computer security , engineering , artificial intelligence , finance , marketing , operating system
In today's rapidly changing and globally volatile world, manufacturers pay strong efforts on conducting lean production, outsourcing their components, and management on the complex supply chain. Warehouse management plays a vital role to be a successful player in the any kinds of industry which put-away process is a key activity that brings significant influence and challenges to warehouse performance. In this dynamic operating environment, minimizing the operation mistakes and providing accurate real time inventory information to stakeholder become the basic requirements to be an order qualifier. An OLAP based intelligent system called Fuzzy Storage Assignment System (FSAS) is proposed to increase availability of decision support data and convert the human knowledge into system for tackling the storage location assignment problem (SLAP). To validate the feasibility of this proposed system, a prototype will be worked out for a third party logistics
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