Integer linear programming on preference maximized of workforce scheduling
This study investigated the application of integer linear programming with the purpose of solving workforce scheduling problems in real life and satisfying the constraints at the same time, which includes the staff preferences towards shift and company policies. Integer linear programming is a well-...
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COMPUSOFT
2018
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author | Mohd Razali, Siti Noor Asyikin Mei, Fen Looi Arbin, Norazman Khamis, Azme |
author_facet | Mohd Razali, Siti Noor Asyikin Mei, Fen Looi Arbin, Norazman Khamis, Azme |
author_sort | Mohd Razali, Siti Noor Asyikin |
collection | UTHM |
description | This study investigated the application of integer linear programming with the purpose of solving workforce scheduling problems in real life and satisfying the constraints at the same time, which includes the staff preferences towards shift and company policies. Integer linear programming is a well-known mathematical approach which is able to obtain the optimal solution faster than manually schedule construction in a less-complex way. In this study, a weekly schedule which involved thirteen staff is obtained successfully by using integer linear programming approach through the help of LP Solve IDE software. The result showed that the total staffing cost was successfully minimized due to reduced number of full shift assigned to staff. In addition, the staff satisfaction is maximized by satisfying all their preferences. |
first_indexed | 2024-03-05T21:48:38Z |
format | Article |
id | uthm.eprints-4464 |
institution | Universiti Tun Hussein Onn Malaysia |
last_indexed | 2024-03-05T21:48:38Z |
publishDate | 2018 |
publisher | COMPUSOFT |
record_format | dspace |
spelling | uthm.eprints-44642021-12-07T03:43:05Z http://eprints.uthm.edu.my/4464/ Integer linear programming on preference maximized of workforce scheduling Mohd Razali, Siti Noor Asyikin Mei, Fen Looi Arbin, Norazman Khamis, Azme T57.6-57.97 Operations research. Systems analysis TS155-194 Production management. Operations management This study investigated the application of integer linear programming with the purpose of solving workforce scheduling problems in real life and satisfying the constraints at the same time, which includes the staff preferences towards shift and company policies. Integer linear programming is a well-known mathematical approach which is able to obtain the optimal solution faster than manually schedule construction in a less-complex way. In this study, a weekly schedule which involved thirteen staff is obtained successfully by using integer linear programming approach through the help of LP Solve IDE software. The result showed that the total staffing cost was successfully minimized due to reduced number of full shift assigned to staff. In addition, the staff satisfaction is maximized by satisfying all their preferences. COMPUSOFT 2018 Article PeerReviewed Mohd Razali, Siti Noor Asyikin and Mei, Fen Looi and Arbin, Norazman and Khamis, Azme (2018) Integer linear programming on preference maximized of workforce scheduling. An international journal of advanced computer technology, 7 (11). pp. 2926-2930. ISSN 2320-0790 |
spellingShingle | T57.6-57.97 Operations research. Systems analysis TS155-194 Production management. Operations management Mohd Razali, Siti Noor Asyikin Mei, Fen Looi Arbin, Norazman Khamis, Azme Integer linear programming on preference maximized of workforce scheduling |
title | Integer linear programming on preference maximized of workforce scheduling |
title_full | Integer linear programming on preference maximized of workforce scheduling |
title_fullStr | Integer linear programming on preference maximized of workforce scheduling |
title_full_unstemmed | Integer linear programming on preference maximized of workforce scheduling |
title_short | Integer linear programming on preference maximized of workforce scheduling |
title_sort | integer linear programming on preference maximized of workforce scheduling |
topic | T57.6-57.97 Operations research. Systems analysis TS155-194 Production management. Operations management |
work_keys_str_mv | AT mohdrazalisitinoorasyikin integerlinearprogrammingonpreferencemaximizedofworkforcescheduling AT meifenlooi integerlinearprogrammingonpreferencemaximizedofworkforcescheduling AT arbinnorazman integerlinearprogrammingonpreferencemaximizedofworkforcescheduling AT khamisazme integerlinearprogrammingonpreferencemaximizedofworkforcescheduling |