Evaluation of logistics performance for intermodal transportation : a fuzzy-based approach | |
| Author | Pichet Kunadhamraks |
| Call Number | AIT Diss. no.TE-06-02 |
| Subject(s) | Business logistics Freight and freightage |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Transportation Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. TE-06-02 |
| Abstract | This study presents a methodological framework has been proposed to evaluate the logistics performance of intermodal freight transport. Fuzzy set techniques were applied to assess the meaning of logistics performance within the decision process of freight operators. The fuzzy-analytical hierarchy process (fuzzy-AHP) was applied to identify the relative significance among the attributes in the hierarchy framework levels. Consequently, the fuzzy-multi criteria analysis (fuzzy-MCA) was used to assess decision makers' perception of the logistics performance via proper assignment of numerical scores. A detailed model allows the importance of a set of performance attributes to be identified. Subsequent to the evaluation process, the developed optimization model was applied to assess freight share relative to variation of constraints. Sensitivity analyses of significant variables were performed to examine the impact on changed costs and services levels. In addition, the developed optimization model was formulated to assess the fraction volumes of mode choices influencing logistics performance. The implications of optimal solutions were obtained in scenarios analysis with mixed integer programming. Maximized logistics performance was selected as the objective function. Whereas, the logistics condition was subject to groups of limitations that may be placed on the decision variables. Demands, technical capacity for the mode carrier and distribution pattern of intermodal transportation supply were involved in the proposed model constraints. Accordingly, the potential effects in the model estimations can be considered as relative improvements to existing infrastructure (rail, ports, and freight terminals) and operational performance of the system. The study provided insights for the corresponding preferences which are affecting decisions to specify further actions for development. |
| Year | 2006 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. TE-06-02 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Hanaoka, Shinya; |
| Examination Committee(s) | Singha Chiamsiri ;Kunnawee Kanitpong ;Thompson, Russell George; |
| Scholarship Donor(s) | RTG Fellowship; |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2006 |