A decision support system for integrated production planning and scheduling decisions in practical job shops | |
| Author | Tharinan Rattanalert |
| Call Number | AIT Thesis no.ISE-10-04 |
| 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 in Industrial and Manufacturing Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ISE-10-04 |
| Abstract | In order to produce a product, the decisi ons of forecasting, production planning and scheduling are made from strategic level to operation level hierarchically. Traditionally, decisions in forecasting, production planning, and sc heduling are made in specific systems and different modeling techniques. These may lead to inconsistency of decisions across all levels. Therefore, there is a critical need to integrate these subsystems to work together to ensure the consistency of the decisions made at different levels, satisfy production plan and its objective. The main objective of this study is to deve lop the decision support system to integrate production activities including forecasting, ma ster production planning, and scheduling system. The forecasting subsystem will generate the most appropriate and up-to-date forecasts and become the basis of master production pl anning. The planning level decisions will impose constraints on the scheduling level actions , while scheduling level decisions give the feedback information to adjust production plan. For forecasting subsystem, five time-series forecasting methods are applied to generate forecasts. The actual sales data and forecasts ar e plotted in graphical form for analyzing and acquiring the appropriate forecast. For planning subsystem, the linear pr ogramming model with cost minimization is formulated to obtai n the optimum production plan. For scheduling subsystem, the common character istics considered are precedence and machine capacity constraints, transfer batch size, bill of materials (BOM), parallel machines in each work center, set up time, lot size, and on-hand inventory. Vari ous possible scheduling scenarios are generated from either forward or back ward scheduling approaches. The algorithm used is based on modified Giffler and Thompson algorithm with SPT, and EDD pr iority dispatching rules. The implementation of the proposed system is illustrated with hypothetical data. The results from the implementation in forecasting, pla nning, and scheduling are supportive in decision making under different comple x conditions. Although optimal so lutions are not guaranteed by the algorithms, good feasible re sults are always obtained. In addition, due to short computational time, more scen arios can be simulated before the final decision is made. |
| Year | 2010 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ISE-10-04 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Voratas Kachitvichyanukul |
| Examination Committee(s) | Huynh,Trung Luong;Pisut Koomsap |
| Scholarship Donor(s) | RTG Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2010 |