Premium
Allocating production batches to subcontractors by fuzzy goal programming
Author(s) -
Ghiani Gianpaolo,
Grieco Antonio,
Guerriero Emanuela,
Musmanno Roberto
Publication year - 2003
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/1475-3995.00408
Subject(s) - computer science , production (economics) , integer programming , fuzzy logic , operations research , quality (philosophy) , productivity , linear programming , set (abstract data type) , goal programming , mathematical optimization , artificial intelligence , mathematics , economics , microeconomics , algorithm , philosophy , epistemology , programming language , macroeconomics
Allocating production batches to subcontractors arises frequently in industry. When subcontractors operate different equipment, batch assignment is a complex decision that must take into account both throughput and quality of finished goods. In this paper, a Mixed Integer Linear Goal Programming Model, where productivity uncertainty is taken into account through Fuzzy Set Theory, is developed. Our study was motivated by a real‐world application arising in an Italian textile company. Computational results show that this method outperforms the hand‐made solutions put to use by the management so far.