| Author | Thanaphorn Sornprom |
| Note | A thesis submitted in partial fulfillment of the requirements for the
degree of Master of Engineering in
Industrial and Manufacturing Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | This thesis presents mathematical model to support integrated decisions on the planning of harvesting and post-harvesting operations for agricultural production. A mathematical model is formulated to integrate resource allocation decisions in five agricultural operations. Two
objective functions are considered to maximize profit, and to minimize total lost sales cost. The mathematical model is validated by solving benchmark test problems via CPLEX with the two single objective functions separately tested. Since the two objective functions are conflicting, both objective functions are also considered simultaneously by including one as objective function while the other is included as constraint. The problems become single objective and CPLEX is again used to solve the benchmark test problems. The experiments show that CPLEX performs well for single objective models for medium and small size
problems. Because of the limitation of CPLEX in solving large size problems, a metaheuristic algorithm based on differential evolution (DE) is developed to solve large-scale single objective
problems and multi-objective problems. The proposed algorithm can find near optimal solution within short time for large-scale problems. For multi-objective problems, DE can find better Pareto front than CPLEX for most test problems. |
| Year | 2017 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Huynh Trung Luong;Voratas Kachitvichyanukul;; |
| Examination Committee(s) | Pisut Koomsap;Kanokporn Rienkhemaniyom; |
| Scholarship Donor(s) | Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) -- Asian Insitute of Technology, 2017 |