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Mathematical models for integrated planning of harvesting and processing of agricultural produce | |
Author | Salde, Shiela Carillo |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Masters in Engineering in Industrial and Manufacturing Engineering |
Publisher | Asian Institute of Technology |
Abstract | This thesis applies mathematical programming technique to manage agricultural operations. It attempts to integrate and simultaneously solve the harvesting planning and the processing planning problems. An optimization model that integrates the decisions of three operations namely harvesting, hauling, and processing was formulated as a mixed integer programming model to schedule field harvesting and product processing with resource constraints on harvesting, hauling, and processing mechanisms. The objective of the model was to minimize operating cost. The proposed integrated model was solved by using IBM ILOG CPLEX and by heuristics algorithm based on Differential Evolution. Preliminary experiments on small problem size demonstrate that the model could generate good and feasible solutions for small problem. For large size problems, exact solution method such as CPLEX cannot provide solution in reasonable time duration while feasible solutions can be found by the algorithm based on DE in relatively short time. However, since large test problems with known solutions do not exist, the quality of solutions obtained from DE algorithm cannot be assessed. |
Year | 2015 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Industrial Systems Engineering (DISE) |
Academic Program/FoS | Microelectronics (ME) |
Chairperson(s) | Voratas Kachitvichyanukul; |
Examination Committee(s) | Huynh Trung Luong;Kanokporn Rienkhemaniyom; |
Scholarship Donor(s) | Asian Development Bank-Japan Scholarship Program; |
Degree | Thesis (M.Eng.) -- Asian Institute of Technology, 2015 |