Open AccessHybridization of game theory and ridesharing to optimize reverse logistics of healthcare textiles
Author(s) -
Mustapha Ahlaqqach,
Jamal Benhra,
Salma Mouatassim,
Safia Lamrani
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/827/1/012004
Subject(s) - health care , game theory , reverse logistics , business , genetic algorithm , face (sociological concept) , computer science , textile , operations management , operations research , marketing , microeconomics , economics , engineering , supply chain , social science , archaeology , machine learning , sociology , history , economic growth
The reverse logistic of Healthcare Textile has become nowadays a major concern in Morocco. Consequently, it imposes to authorities and professionals the obligation to perform a sustainable reverse logistic model. Through this study, we are going to hybridize game theory and ridesharing to optimize a multi-objective reverse logistics of healthcare textiles. We opted for the Genetic algorithm to face the complexity of the ridesharing model. For cost allocation, the allocation based on volume give best results compared to Alternative Cost Avoided Method. Besides, it allows a higher gain for players with the most important activity.