AI SearchAllocation of transtainers at the Bangkok container terminal
Call Number: AIT Thesis no. IE-92-26 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. IE-92-26Publication details: Bangkok : Asian Institute of Technology, 1992Description: 72 leavesSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 1992 Summary: This study is to allocate the resources at new container terminal, Bangkok Port (Klongtoey). In the study, optimum allocation of transtainers was developed. The objective of the model is to allocate the transtainers in earlier period within the defined due date to meet the synchronizing of shore cranes and transtainers. Allocation of transtainers is done by considering requirements of queuing and transtainers availability in each period. In the model, there are two phases. Phase (I) was carried out to get the feasible input for phase II. In Phase (II), a zero-one pure Integer Linear Programming approach for solving resource allocation problem was developed. The Special Order Sets (SOS) were used for all decision variables. The programming model was solved by Professional Linear Programming System (XA package).
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Asian Institute of Technology Library Archives | AIT Thesis no. IE-92-26 (Browse shelf(Opens below)) | Available | 30050160075411 |
A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology
Thesis (M.Eng.) - Asian Institute of Technology, 1992
This study is to allocate the resources at new container terminal, Bangkok Port (Klongtoey). In the study, optimum allocation of transtainers was developed. The objective of the model is to allocate the transtainers in earlier period within the defined due date to meet the synchronizing of shore cranes and transtainers. Allocation of transtainers is done by considering requirements of queuing and transtainers availability in each period. In the model, there are two phases. Phase (I) was carried out to get the feasible input for phase II. In Phase (II), a zero-one pure Integer Linear Programming approach for solving resource allocation problem was developed. The Special Order Sets (SOS) were used for all decision variables. The programming model was solved by Professional Linear Programming System (XA package).
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