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- Type of Document: Ph.D. Dissertation
- Language: Farsi
- Document No: 42826 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Kianfar, Farhad
- Abstract:
- Due date assignment for customer orders has been studied in various production environments. In this thesis a production system is considered in which the orders of several customers are produced in a single lot because of the economy of scale. If a lot is completed before receiving customer orders, inventory carrying cost is incurred. On shortages, a due date is quoted to customers and lead time quotation cost is incurred. The due date may not be met because of (lead-time) uncertainty in production system. Hence if the order is delivered after its due date, tardiness cost is charged. The literature reviews show that such a model is not considered by other researchers. Two different problems are considered. The first problem is a combined lot sizing and lead time quotation problem with continuous and indefinite planning horizon. The problem is to decide on lot size, due date of lot (imposed on supply process) and lead time (to be quoted to next coming customers) so that relevant costs are minimized. Production flow times are probabilistic which follow a continuous probability distribution and the proposed model is solved using real-coded genetic algorithms and numerical results are presented. In the second problem, a simultaneous lead time quotation and lot sizing in an assembly system is investigated. A production system is considered which produces a product with deterministic demand over a T-Period planning horizon. The components supply lead time is stochastic which follows a discrete distribution. The problem is to decide on lot sizes of product and components, supply and production starting periods and due date of lots (to be quoted to customers) so that relevant costs are minimized. A genetic algorithm is developed to solve the proposed model. This research was motivated by a heavy equipment production system which produces some products with relatively low demand rates, high prices and long lead-times.
- Keywords:
- Production Planning ; Genetic Algorithm ; Lot Size ; Joint Economic Lot-Sizing ; Due Date Assignment
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