中山管理評論

  期刊全文閱覽

中山管理評論  2002/12

第10卷英文特刊  p.135-157


題目
A Genetic-Based Heuristic Approach Toward Maintenance Scheduling of Oil Tanks
A Genetic-Based Heuristic Approach Toward Maintenance Scheduling of Oil Tanks
(633498960014375000.pdf 524KB)

作者
Sheng-Tun Li、Li-Yen Shue、Pei-Chun Lin/國立高雄第一科技大學
Sheng-Tun Li、Li-Yen Shue、Pei-Chun Lin/

National Kaoshiung First University


摘要(中文)

(633498960013750000.pdf 38KB)

關鍵字(中文)


摘要(英文)

The oil market in Taiwan is becoming very competitive nowadays than before, which is due to her recent entry into WTO and the liberalized Petroleum Management Law that allows international petroleum vendors to sell oil products in Taiwan market. For a competitor to become successful, the control of gas stations, pipelines, and storage tanks plays a key role, however, due to the space limitation and the residents' increasing awareness of environmental protection issues on the island, the construction of new storage tanks is being recognized as an issue next to impossible. Hence, any new vendors, undoubtedly, would have to rent tanks from existing oil companies for operation. Thus, tank owner must schedule tanks efficiently to satisfy the maintenance requirement, and, at the same time, meet the operation needs for itself and leaseholders. In this study, we examine the tank maintenance scheduling needs of an existing company, and investigate the performances of an evolutionary computing approach, which is based on genetic algorithm and simulated annealing. Experimental results with Integer Programming were used to highlight the problem with this conventional approach. We also conducted an extensive comparison with GA and GASA to confirm the superior performance of this hybrid approach in tank utilization and computation times.

(633498960013750000.pdf 38KB)

關鍵字(英文)

scheduling optimization, genetic-simulated annealing algorithm, genetic algorithm, oil-tank maintenance scheduling


政策與管理意涵


參考文獻