Open AccessUse of goal programing and the fuzzy analytical hierarchy process to obtain the product mix
Author(s) -
Zárate Claudia Noemí,
Esteban Alejandra María,
Berardi María Betina,
Ledesma Frank Keila
Publication year - 2022
Publication title -
iet collaborative intelligent manufacturing
Language(s) - English
Resource type - Journals
ISSN - 2516-8398
DOI - 10.1049/cim2.12045
Subject(s) - bottleneck , computer science , fuzzy logic , operations research , hierarchy , product (mathematics) , analytic hierarchy process , set (abstract data type) , workstation , profit (economics) , process (computing) , fuzzy set , management science , industrial engineering , mathematics , engineering , artificial intelligence , economics , geometry , microeconomics , programming language , market economy , embedded system , operating system
This study proposes a methodology that integrates Weighted Goal Programing with the Fuzzy Analytical Hierarchy Process to obtain the product mix in a multi‐bottleneck system. The problem is approached by analysing a case of a company that manufactures four products that must pass through six workstations. The opinion of four specialists involved in the decision is considered and goals are set contemplating profit maximisation, the balance between workstations, exploitation of bottleneck resources and customer satisfaction. The prioritisation of these objectives is obtained through the Fuzzy Analytical Hierarchy Process. This methodology takes into account the uncertainty in the evaluation of the experts. From its application, a single crisp vector is obtained, which is transformed into the weights of the goals. The result is a product mix that satisfies the goals, corresponding to the experts' opinions.