dc.contributor.author |
Jalloul, Maya Sami, |
dc.date.accessioned |
2018-10-11T11:43:08Z |
dc.date.available |
2018-10-11T11:43:08Z |
dc.date.copyright |
2021-01 |
dc.date.issued |
2018 |
dc.date.submitted |
2018 |
dc.identifier.other |
b21047248 |
dc.identifier.uri |
http://hdl.handle.net/10938/21439 |
dc.description |
Thesis. M.E.M. American University of Beirut. Department of Industrial Engineering and Management, 2018. ET:6711$Advisor : Dr. Walid Nasr, Associate Professor, Industrial Engineering and Management ; Members of Committee : Dr. Lama Moussawi, Associate Professor, Suliman S. Olayan School of Business ; Dr. Hussein Tarhini, Assistant Professor, Industrial Engineering and Management. |
dc.description |
Includes bibliographical references (leaves 34-35) |
dc.description.abstract |
One of the most complex problems that cargo managers face is making decisions regarding the acceptance of cargo requests under stochastic and time-dependent demand. In this paper, we consider a practical and realistic model of this problem which accounts for different request types (contracts and spot requests). Although time-dependent demand is realistic and practitioners are aware of the inefficiencies of ignoring time-dependent demand, the advantages of accounting for time-dependency are offset by the added computational complexity. We consider time-dependent and stochastic demand and provide an efficient approach to analyze and optimize such systems. Monte Carlo simulation is applied to create realistic demand patterns. We use dynamic programming to find the optimal solution for small to medium-sized problems and we provide several computationally efficient heuristics as an alternative to the computationally prohibitive dynamic programming approach. |
dc.format.extent |
1 online resource (ix, 35 leaves) : color illustrations |
dc.language.iso |
eng |
dc.subject.classification |
ET:006711 |
dc.subject.lcsh |
Shipping.$Transportation.$Revenue management.$Dynamic programming.$Monte Carlo method.$Heuristic algorithms.$Stochastic processes. |
dc.title |
Standardized cargo network revenue management with dual channels - |
dc.type |
Thesis |
dc.contributor.department |
Faculty of Engineering and Architecture.$Department of Industrial Engineering and Management, |
dc.contributor.institution |
American University of Beirut. |