Paper Info
Title
A Novel Hybrid Modelling for Aggregate Production Planning in a Reconfigurable Assembly Unit for Optoelectronics.
Abstract
In this work it is presented a novel fuzzy multi-objective linear programming FMOLP model based on hybrid fuzzy inference systems for solving the general management framework fort the integration of a self-contained robotic reconfigurable assembly unit in a pre-existing shop-floor. It is developed an aggregate production planning in a fuzzy environment where the product price, unit inventory cost, unit assembly cost, resource-product suitability cost, availability of the assembly line, the assembly time and the market demands are fuzzy in nature. The proposed model attempts to minimize total production costs, maximizing the shop floor resources utilization and the profits, considering nominal capacity and inventory towards zero. Pareto solutions optimization is computed with different techniques and results are presented and discussed with interesting practical implications.
Year
DOI
Venue
2015
10.1007/978-3-319-26535-3_65
ICONIP
Keywords
Field
DocType
Aggregate production planning,APP,Hybrid fuzzy systems,Fuzzy Multi-objective programming,MOLP
Aggregate planning,Mathematical optimization,Computer science,Simulation,Fuzzy inference,Fuzzy logic,Linear programming,Artificial intelligence,Inventory cost,Pareto principle,Machine learning,Profit (economics)
Conference
Volume
ISSN
Citations 
9490
0302-9743
2
PageRank 
References 
Authors
0.77
6
3
Name
Order
Citations
PageRank
Francesco G. Sisca121.11
Maurizio Fiasché2499.23
Marco Taisch32910.69