چكيده به لاتين
Abstract:
In real life situation, several states effect on uncertainty for manufacturing processes which we urges to develop a Production model for Uncertainty Dependent Demand. Many literatures on production planning with dependent demand and uncertainty lead time are often too limited and consider to special cases and simple model. Therefore, in this thesis, we modeling and then determain the planned lead time and periodicity for supply items planning with dependent demand and uncertainty on lead-time. We classification considering models in three parts
1- Modeling serial-production systems with dependent demand and uncertain lead time
2-Modeling two level-production systems with dependent demand and uncertain lead time
3-Modeling multi level-production systems with dependent demand and uncertain lead time
Each of these items described above are evaluated in three different modes. First state is modeling dependent demand and uncertain lead time with assumed that the the shortage is backlogged. The Customers who experience stock-out will be less likely to buy again from the suppliers; they may turn to another store to purchasethe goods. Therefore maybe a present of sales were lost sales. As a result, taking the factor of partial backlogging into account is necessary. Then the second c is considering to the partial backlogging at the proposet models.
In the third state the customer satisfaction survey analyzed. When shortage is occurred, the possible of backlogged are increased and this results in customer dissatisfaction, so the third state we consider to minimize the total cost and maximize the service level (customer satisfaction). So the program is modeling with two objective function.
The objective is minimize sum of fixed ordering, holding, and partial backlogging costs for the finished product. To solve the described models a general framework is provision for finding the all items and final prodacts planned lead time by using the MRP framework and using the periodic order quantity policy. For finding planned lead time in the described states, several theorem is proved. The cost function at these models are more comprehensive and then provides better results.
Keywords: supply Planning items, dependent demand, uncertainty on lead time, partial backlogging
