The paper deals with the management of the spare parts in the automotive sector introducing a first definition of business model aimed to reduce holding costs of stocks, focusing on spare parts distributors point of view, and adopting a probabilistic mathematical approach. The management of spare parts is not trivial due to the infrequent profile that characterizes market demand, in contrast with the necessity of the distributors to keep in stock a large number of items (part numbers) in order to avoid lost sales (back ordering is not allowed). Moreover, given that different distributors can deal the same products among the national market, the total amount of stocks of the same products is multiplied along the supply chain. A mathematical approach adopting probabilistic dynamic programming is presented aimed to optimize the management of spare parts, considering the creation of a platform in which different distributors can participate to share the management of items. The main purpose of the model is to find the optimal allocation of products among distributors and, at the same time, ensuring a balancing in the costs that each player has to bear period by period, providing the optimal reorder policy for each product. A numerical example is also reported.

A Stochastic Methodology for the Optimal Management of Infrequent Demand Spare Parts in the Automotive Industry / Ronzoni, Chiara; Ferrara, Andrea; Grassi, Andrea. - ELETTRONICO. - 48:3(2015), pp. 1405-1410. (Intervento presentato al convegno 15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015 tenutosi a Ottawa, Canada nel May 11-13, 2015) [10.1016/j.ifacol.2015.06.283].

A Stochastic Methodology for the Optimal Management of Infrequent Demand Spare Parts in the Automotive Industry

RONZONI , CHIARA;FERRARA, Andrea;GRASSI, Andrea
2015

Abstract

The paper deals with the management of the spare parts in the automotive sector introducing a first definition of business model aimed to reduce holding costs of stocks, focusing on spare parts distributors point of view, and adopting a probabilistic mathematical approach. The management of spare parts is not trivial due to the infrequent profile that characterizes market demand, in contrast with the necessity of the distributors to keep in stock a large number of items (part numbers) in order to avoid lost sales (back ordering is not allowed). Moreover, given that different distributors can deal the same products among the national market, the total amount of stocks of the same products is multiplied along the supply chain. A mathematical approach adopting probabilistic dynamic programming is presented aimed to optimize the management of spare parts, considering the creation of a platform in which different distributors can participate to share the management of items. The main purpose of the model is to find the optimal allocation of products among distributors and, at the same time, ensuring a balancing in the costs that each player has to bear period by period, providing the optimal reorder policy for each product. A numerical example is also reported.
2015
15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015
Ottawa, Canada
May 11-13, 2015
48
1405
1410
Ronzoni, Chiara; Ferrara, Andrea; Grassi, Andrea
A Stochastic Methodology for the Optimal Management of Infrequent Demand Spare Parts in the Automotive Industry / Ronzoni, Chiara; Ferrara, Andrea; Grassi, Andrea. - ELETTRONICO. - 48:3(2015), pp. 1405-1410. (Intervento presentato al convegno 15th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2015 tenutosi a Ottawa, Canada nel May 11-13, 2015) [10.1016/j.ifacol.2015.06.283].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1073034
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