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Job shop rescheduling under rush order arrivals | |
Author | Sakkarin Ngiuwichit |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Industrial and Manufacturing Engineering |
Publisher | Asian Institute of Technology |
Abstract | In this research, we developed the production scheduling and rescheduling model for both single machine and job shop manufacturing system to handle urgent jobs arrivals. According to nature of job shop manufacturing system, urgent jobs arrival can be occurred at any point in time. Thus, having appropriate rescheduling model to handle this disruption will be huge benefit to manufacturer. In practical situation, manufacturer needs to respond quickly in order to deal with urgent jobs arrivals. At first, a mathematic model is developed to create baseline schedule. Then, a rescheduling model is developed to handle urgent jobs. After mathematic model have been developed, CPLEX optimization program is used to conduct numerical experiment. In baseline scheduling model, two objective functions which are total weighted tardiness and total weighted completion time. These two objective functions represent important from customer and producer. For rescheduling models, two different sets of objective function are used. The first set of objective functions are the total number of new tasks that is included in the schedule period and the total weighted completion time. The second set of objective functions are the total number of new tasks that is included in the schedule period and the total weighted tardiness. |
Year | 2019 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Industrial Systems Engineering (DISE) |
Academic Program/FoS | Microelectronics (ME) |
Chairperson(s) | Huynh Trung Luong; |
Examination Committee(s) | Pisut Koomsap;Mongkol Ekpanyapong; |
Scholarship Donor(s) | His Majesty the King’s Scholarships (Thailand); |
Degree | Thesis (M.Eng.) -- Asian Institute of Technology, 2019 |