********************************************************************
                 
                                   Seminar
        
    Department of Systems Engineering and Engineering Management
                                 
The Chinese 
  
  ------------------------------------------------------------------------------------------
|   |   |   | 
| Title | : | Optimal Policy for an
  Inventory System under Convex Variable Ordering Cost  | 
|   |   |   | 
| Speaker | : | Dr Miao Song | 
|   |   | Department of Industrial and Manufacturing Systems Engineering | 
|   |   | The  | 
|   |   |   | 
| Date | : | March 4th, 2011 (Friday) | 
|   |   |   | 
| Time | : | 4:30 p.m. - 5:30 p.m. | 
|   |   |   | 
| Venue | : | Room 513 | 
|   |   | William M.W. Mong Engineering Building | 
|   |   | (Engineering Building Complex Phase 2) | 
|   |   | CUHK | 
|   |   |   | 
------------------------------------------------------------------------------------------
Abstract:
 
| We study the optimal policy for a periodic-review
  inventory system where the variable ordering cost is defined by a piece-wise
  linear convex function. The optimal policy is fully characterized for the
  case without the fixed ordering cost. For the system with a fixed ordering
  cost, we fully characterize the optimal policy of the model by introducing
  the notion of strong K,c,q-convexity. We also identify some sufficient
  conditions under  | 
-------------------------------------------------------------------------------------------
Biography:
 
| Dr Miao Song is an assistant professor in the
  Department of Industrial and Manufacturing Systems Engineering at the  | 
************************* ALL ARE WELCOME ************************
|   |   |   | 
| Host | : | Prof. Sean X. Zhou | 
| Tel | : | (852)2609 8336 | 
| Email | : | |
|   |   |   | 
| Enquiries | : | Prof. Nan Chen or Prof. Sean X. Zhou | 
|   | : | Department of Systems Engineering and Engineering
  Management | 
|   |   | CUHK | 
| Website | : | |
| Email | : | |
|   |   |   | 
********************************************************************