Reference number : GC-2017-Q4-00898, amendment number : , agreement type : G, recipient legal name : Kazemi Zanjani, Masoumeh (Concordia University)|Kazemi Zanjani, Masoumeh (Université Concordia), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Effective order sequencing and task scheduling has become a necessity for survival in today's competitive_x000D_
markets. Scheduling in a manufacturing environment concerns with translating released orders into jobs with_x000D_
associated due dates and allocating them to designated workstations. Job-shop scheduling is a multi-objective_x000D_
combinatorial optimization problem. Nonetheless, the majority of scheduling algorithms are usually efficient_x000D_
under a given objective function rather than a combination of them. Furthermore, unforeseen events on the_x000D_
shop floor, such as machine break-downs along with rush/canceled orders may have a significant impact on the_x000D_
schedule. In order to reduce the need for major changes in the initial schedule, robustness criteria should be_x000D_
incorporated into scheduling models._x000D_
In this project, the applicant will team up with Festo Didactic Ltd. in order to overcome the challenges the_x000D_
company has been recently confronted in scheduling the continuously increasing sales. The main goal is to_x000D_
develop a library of algorithmic procedures for robust multi-objective job-shop scheduling. The first step_x000D_
towards achieving this goal would be the characterization of the specific scheduling problem via investigation_x000D_
of manufacturing processes corresponding to different product families. Identification of various_x000D_
decision-making criteria with corresponding priorities in addition to the most pertinent sources of disruptions_x000D_
will be also an essential step in the project. The new scheduling engine that is expected to be integrated into_x000D_
their current production planning software will incorporate a set of basic and composite dispatching rules along_x000D_
with local search and metaheuristic algorithms to generate alternative schedules. Developing a discrete-event_x000D_
simulation model for the purpose of assessing the performance of generated schedules would be also within the_x000D_
realm of this research project._x000D_
The results of this project will provide essential benefits to the company in terms of manufacturing lead-time_x000D_
and work-in-process inventory reduction. Furthermore, the developed scheduling engine can be incorporated, program purpose french : Effective order sequencing and task scheduling has become a necessity for survival in today's competitive_x000D_
markets. Scheduling in a manufacturing environment concerns with translating released orders into jobs with_x000D_
associated due dates and allocating them to designated workstations. Job-shop scheduling is a multi-objective_x000D_
combinatorial optimization problem. Nonetheless, the majority of scheduling algorithms are usually efficient_x000D_
under a given objective function rather than a combination of them. Furthermore, unforeseen events on the_x000D_
shop floor, such as machine break-downs along with rush/canceled orders may have a significant impact on the_x000D_
schedule. In order to reduce the need for major changes in the initial schedule, robustness criteria should be_x000D_
incorporated into scheduling models._x000D_
In this project, the applicant will team up with Festo Didactic Ltd. in order to overcome the challenges the_x000D_
company has been recently confronted in scheduling the continuously increasing sales. The main goal is to_x000D_
develop a library of algorithmic procedures for robust multi-objective job-shop scheduling. The first step_x000D_
towards achieving this goal would be the characterization of the specific scheduling problem via investigation_x000D_
of manufacturing processes corresponding to different product families. Identification of various_x000D_
decision-making criteria with corresponding priorities in addition to the most pertinent sources of disruptions_x000D_
will be also an essential step in the project. The new scheduling engine that is expected to be integrated into_x000D_
their current production planning software will incorporate a set of basic and composite dispatching rules along_x000D_
with local search and metaheuristic algorithms to generate alternative schedules. Developing a discrete-event_x000D_
simulation model for the purpose of assessing the performance of generated schedules would be also within the_x000D_
realm of this research project._x000D_
The results of this project will provide essential benefits to the company in terms of manufacturing lead-time_x000D_
and work-in-process inventory reduction. Furthermore, the developed scheduling engine can be incorporated, agreement title english : Robust multi-objective job-shop scheduling for make-to-order manufacturing, agreement title french : Robust multi-objective job-shop scheduling for make-to-order manufacturing, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada