Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto Case 4.

Apresentação em tema: "Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto Case 4."— Transcrição da apresentação:

1 Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto jbuzatto@colormatrix.com.br jbuzatto@colormatrix.com.br Case 4 – Andrew Tan Corporation Dynamic Inventory Model Andrew Tan generators are assembled in Singapore from imported parts, tested in Singapore, and exported to AutoPower’s Asian customers needing uninterrupted electric power. The following monthly data are available: Delivery Requirements Delivery Requirements 58 36 34 59 Production Capacity Production Capacity 60 62 64 66 Unit Production Costs ($000s) Unit Production Costs ($000s) $28 $27 $27.8 $29 Unit Inventory Holding Cost Unit Inventory Holding Cost$300 $300 $300 $300 Jan.Feb.Mar.Apr.

2 Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto jbuzatto@colormatrix.com.br jbuzatto@colormatrix.com.br Case 4 – Andrew Tan Corporation Dynamic Inventory Model It is the possibility of holding inventory from one month to the next that makes this model a dynamic inventory model. lowest 4 month cost Andrew Tan’s goal is to produce and deliver the required number of generators over the 4 month interval at the lowest 4 month cost. The January beginning inventory is 15 generators. the ending inventory values are consequential (definitional) variables the beginning inventory is equal to the previous month’s ending inventory

3 Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto jbuzatto@colormatrix.com.br jbuzatto@colormatrix.com.br Case 4 – Andrew Tan Corporation Dynamic Inventory Model The unit inventory holding cost (U$ 300) is based on the average inventory value (Beginning Inventory + Ending Inventory divided per 2)

4 Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto jbuzatto@colormatrix.com.br jbuzatto@colormatrix.com.br Case 4 – Andrew Tan Corporation Dynamic Inventory Model 1- What is the goal of Andrew Tan Corporation? 2- Which are the decisions variables? 3- Which are the restrictions variables? 4- Which is the best decision to make? 5- Once a decision is made, what should be the production plan? 6- What is the expected working capital evolution? Every dynamic model must also pay attention to what are called “edge conditions.” Edge conditions refer to the set of parameters that must be specified at the beginning and end of time in the model (i.e., the initial and ending inventory). Note:

5 Pesquisa Operacional aplicada à Gestão de Produção e Logística Prof. Eng. Junior Buzatto jbuzatto@colormatrix.com.br jbuzatto@colormatrix.com.br Case 4 – Andrew Tan Corporation Dynamic Inventory Model The beginning edge condition is usually not difficult to find. However, the ending edge condition is more troublesome because it must stand as a reasonable starting condition or proxy for all of time beyond the planning horizon. 7- Suppose the edge condition for the ending inventory on April is 12 pieces at the least. What is the new results ? 8- If the delivery requirements for May is 50 pieces and the unit production cost is the same of april, what is the new production plan? 9 - Which others management analysis we can do? Comment: Make a presentation (5 min) and Hand in the assignment in print. Date: October 21st 2006