The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of SYSTEMS ENGINEERING, APPLICATIONS AND DEVELOPMENT
Transactions ID Number: 20-757
Full Name: Snejana Yordanova
Position: Professor
Age: ON
Sex: Female
Address: Sofia 1000, Technical University of Sofia,bl.2
Country: BULGARIA
Tel: +359895589636
Tel prefix: +359
Fax:
E-mail address: sty@tu-sofia.bg
Other E-mails:
Title of the Paper: Optimal Fuzzy Logic Based Enterprise Resource Planning System for Hydraulic Cylinders Assembly
Authors as they appear in the Paper: Lubomir Dimitrov, Snejana Yordanova
Email addresses of all the authors: lubomir_dimitrov@tu-sofia.bg,sty@tu-sofia.bg
Number of paper pages: 8
Abstract: This paper presents a fuzzy logic based improvement of the existing Enterprise Resource Planning system of a small size production factory in Bulgaria in order to ensure optimal balancing of the workload of assembly-testing flow lines for hydraulic cylinders. A Sugeno fuzzy classifier is suggested to provide flexibility in directing cylinders with different specific parameters to proper lines. It is based on a classification scheme that considers possible overlapping of groups of hydraulic cylinders. The decision on the line assigned is made accounting also for the minimal cylinder delay time. The efficiency of the classifier is assessed for two scenarios by simulation using a complex criterion that accounts for lines idle time and cylinders delay time. The fuzzy logic based improvement enables optimization and is an effective way to reduce costs of the modern production, characterized by demassovization and orientation to the customers' unique needs.
Keywords: Enterprise resource planning, Fuzzy system, Hydraulic systems, Optimal search techniques, Simulation
EXTENSION of the file: .pdf
Special (Invited) Session: Fuzzy Logic Based Approach to Optimal Hydraulic Cylinders Assembly
Organizer of the Session: 656-257
How Did you learn about congress: Prof. Todor Neshkov, email: tnesh@tu-sofia.bg
IP ADDRESS: 84.40.86.114
