A heuristic approach to an economic lot size production planning for a preserved seafood industry in Thailand | |
| Author | Krisada Chongphaibulpatana |
| Call Number | AIT Thesis no. IE-82-04 |
| Subject(s) | Seafood processing--Thailand Production planning Economic lot size |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Preserved seafood industry in Thailand at the present moment is very competitive The competition is such that the manufactures in this industry must be able to deliver the products that are ordered by their customers without backlogging as well as with competitive prices. One of the known approaches to overcome this problem is b) improving the existing production strategies by using a heuristic, dynamic production planning model. This research study deals with the demand forecast and the development of heuristic rules for planning a multiproduct, multiperiod and economic lot size scheduling under dynamic, deterministic demands of the critical stage (seamer stage) in a preserved seafood industry. The selected. company has about 30 types of products, out of these 16 types are forecasted at the beginning of the operation for the following 52 weekly demands. The applied time series analysis and projection method is Winters Method. This method is formulated with seasonal and trend effects according to the ma)or demands pattern. A modified Wagner-Whitin Dynamic Economic Lot-size Algorithm which takes product-by-product into account was used to solve the seamer stage's production planning. The aggregate production planning findings from the above-mentioned algorithm were further adjusted by Heuristic Rules in case of infeasible periods. This planning model is able to schedule the production of N products over the next T production planning periods in a manner that it minimizes total set up, production, and inventory cost while meets all constraints imposed by the capacities of the production resources. In general, optimal or near optimal solutions are facilitated by this model. Consequently, A Sensitivity Analysis is carried out, to determine the effects of changes in forecasted demands and production costs. |
| Year | 1982 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Engineering (IE) |
| Chairperson(s) | Tang, John C.S. |
| Examination Committee(s) | Tabucanon, Mario T. ; Fujiwara, Okitsugu |
| Scholarship Donor(s) | Government of Australia |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1982 |