Determining an optimal fleet mix and schedules: Part II — multiple sources and destinations, and the option of leasing transshipment depots

Integer Programming: Theory and Practice

Volumn , Issue , 2005, Pages 167-193

  Sherali, Hanif D ^a   Al Yakoob, Salem M ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b KUWAIT UNIVERSITY   (Kuwait)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34548244191     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (7)

1. Al-Yakoob, S.M., Mixed-integer mathematical programming optimization models and algorithms for an oil tanker routing and scheduling problem, PhD. dissertation, Department of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, 1997.
2. Christiansen, M., Fagerholt, K., and Ronen, D., Ship routing and scheduling: status and prospective, Transportation Science, 38(1), 1, 2004.
3. Perakis, A.N., Fleet operations optimization and fleet deployment, in The Hand Book of Maritime Economics and Business, Grammenos, C.T., Ed., Lloyds of London Publications, London, 580, 2002.
4. Ronen, D., Cargo ships routing and scheduling: survey of models and problems, European Journal of Operational Research, 12, 119, 1983.
5. Ronen, D., Ship scheduling: the last decade, European Journal of Operational Research, 71, 325, 1993.
6. Sherali, H.D., Al-Yakoob, S.M., and Merza, H., Fleet management models and algorithms for an oil-tanker routing and scheduling problem. IIE Transactions, 31, 395, 1999.
7. Sherali, H.D. and Al-Yakoob, S.M. Determining an optimal fleet mix and schedules: Part I—single source and destination. Department of Mathematics and Computer Science, Kuwait University, 2004. (Part II of this sequence is the present chapter.)