Decision support system for integrated planning and scheduling | |
| Author | Kanokporn Kungwalsong |
| Call Number | AIT Thesis no.ISE-05-12 |
| Subject(s) | Production planning Production scheduling Decision support systems |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Traditionally, the different decisions associated with strategic, tactical and operational planning, are adopted in an ad hoc manner. Ineffective decision making may lead to several major problems such as the overloaded of some stations in the shop floor, poor utilization of bottleneck capacity, and missed customers due dates. There is a critical need for more systematic way to integrate the decisions at different levels to ensure feasibility of the plans and consistency in meeting planning objectives. The main objective of this study is to develop a decision support tool to support both the planning and scheduling decisions to ensure the consistencies of decisions. The planning level decisions will impose constraints on the scheduling level actions whereas scheduling level decisions provide feedback to evaluate the planning level actions. For examples, how much of the planning data should be used in making the scheduling decisions, how much rescheduling should be allowed before re-planning must be carried out. For planning module, the mathematical model of master production planning is formulated as the single objective linear programming model. This model determines the optimum production quantities of individual products according to the objective function using the simplex algorithm. For the scheduling module, various possible scheduling scenarios are generated from the combinations of the forward and backward schedule with Giffler and Thompson algorithm and dispatching rules. Bill of Material, parallel machines and transfer batch size are considered in this scheduling approach. The implementation of proposed system is demonstrated with hypothetical data. The results from the implementation of planning and scheduling in each section are useful to support decision making under various complex conditions. Although the algorithms do not guarantee optimal solution, good feasible results are always obtained and since the computation time is short, more scenarios can be simulated before final decision is made. |
| Year | 2005 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Voratas Kachitvichyanukul |
| Examination Committee(s) | Anulark Techanitisawad ;Huynh Trung Luong |
| Scholarship Donor(s) | His Majesty the King of Thailand |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2005 |