Session
Mechatronics, System Engineering and Robotics
Description
Optimization approaches and models are developed for job shop scheduling problems over the last decades, particularly the most attempts have been done in industry and considerable progress has been made on an academic line. The Job-shop scheduling considered the most significant industrial activities, mostly in manufacturing. The JSSP (Job Shop Scheduling Problems) is typical NP-hard problem. To solve this problem, we have used the linear programming approach. Real data have been taken from the company of the metalworking industry. The model has been created, then it was analyzed using Spreadsheet – Excel Solver. The appropriate sequence has been obtained and the results shown that it is possible to achieve the minimum completion time compared to other sequence combination.
Keywords:
Job Shop Scheduling, Linear Programming, Optimization, Spreadsheet – Excel Solver
Session Chair
Peter Kopacek
Session Co-Chair
Thomas Duda
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-19-2
First Page
42
Last Page
48
Location
Pristina, Kosovo
Start Date
26-10-2019 11:00 AM
End Date
26-10-2019 12:30 PM
DOI
10.33107/ubt-ic.2019.148
Recommended Citation
Azemi, Fatmir; Tokody, Daniel; and Maloku, Bekim, "An optimization approach and a model for Job Shop Scheduling Problem with Linear Programming" (2019). UBT International Conference. 148.
https://knowledgecenter.ubt-uni.net/conference/2019/events/148
Included in
An optimization approach and a model for Job Shop Scheduling Problem with Linear Programming
Pristina, Kosovo
Optimization approaches and models are developed for job shop scheduling problems over the last decades, particularly the most attempts have been done in industry and considerable progress has been made on an academic line. The Job-shop scheduling considered the most significant industrial activities, mostly in manufacturing. The JSSP (Job Shop Scheduling Problems) is typical NP-hard problem. To solve this problem, we have used the linear programming approach. Real data have been taken from the company of the metalworking industry. The model has been created, then it was analyzed using Spreadsheet – Excel Solver. The appropriate sequence has been obtained and the results shown that it is possible to achieve the minimum completion time compared to other sequence combination.