A Particle Swarm Optimization Algorithm for Solving Economic Lot Scheduling Problems
| Main Authors: | Ai, The Jin, Astanti, Ririn Diar, Bintoro, Agustinus Gatot, Gong, Dah Chuan |
|---|---|
| Format: | Proceeding PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
The Australian Society for Operations Research Inc
, 2011
|
| Subjects: | |
| Online Access: |
http://e-journal.uajy.ac.id/19665/4/Paper%2030%20APIEMS%202014%20PSO%20for%20ELSP.pdf http://e-journal.uajy.ac.id/19665/5/Paper%2030%20Peer%20Review.pdf http://e-journal.uajy.ac.id/19665/6/Turnitin%2030.pdf http://e-journal.uajy.ac.id/19665/ |
Daftar Isi:
- The Economic Lot Scheduling Problem (ELSP) is the problem for determining the production schedule of many products to single production facility where the setup times, production and demand rates of each product are different. Due to its practical importance in the field of production and inventory management, this problem has been attracted many researchers and lead to many problem variants. Some exact and heuristics approaches had been proposed in the past for solving the ELSP and its variants, however, each approach is usually intended to solve a particular ELSP variant. This paper tries to develop a new and unified solution methodology for solving the ELSP and its variants using the particle swarm optimization, especially by proposing the solution representation and its decoding method. The computational results show that the proposed algorithm is able to find good solution of ELSP.