Abstract
The minimization of makespan as an indicator of productivity and service level by using learning effect and high cadences during the production and transportation of products leads to an increase in energy consumption that has a negative effect on the environment and contributes to climate change. A bi-objective mixed integer linear programming model is developed in order to join the two objectives into one using the LP-metric method. Based on a real case study of the flow shop sequence dependent group scheduling problem, several experiments are carried out using different learning rates and varying the weights of the two objective functions in order to support the decision-maker in his operational and tactical choices.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
