Supply lead time uncertainty in a Sustainable Order Quantity inventory model

• Autorzy: Digiesi S. , Mossa G. , Mummolo G.
• Języki publikacji: EN

Abstrakty

EN

Transport plays a key role in inventory management since it affects logistic costs as well as environmental performance of the supply chain. Expected value and variability of supply lead time depend on the transportation means adopted, and influence the optimal values of order quantity, reorder level, and safety stock to be adopted. Fast transportation means allow reducing expected value of the lead time; they are characterized by the highest costs of externalities (i.e. air pollutant emission, noise, congestion, accidents). On the contrary, slow transportation means require high inventory level due to large order quantity; in this case costs of externalities tend to decrease. The Sustainable Order Quantity (SOQ) [1] allows identifying optimal order quantity, reorder level, safety stock as well as transportation means which minimize the sum of the logistic and environmental costs in case of stochastic variability of product demand. In this paper, the authors propose a new SOQ analytical model considering stochastic variability of supply lead time (LT). A solution procedure is suggested for solving the proposed model. The approach is applied to a real industrial case study in order to evaluate the benefits of applying it if compared with the traditional one.

Słowa kluczowe

EN

inventory management; SOQ; loss factor of transport; stochastic variability of supply lead time

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2013
• Tom: Vol. 4, No. 4
• Strony: 15--27
• Opis fizyczny: Bibliogr. 57 poz., rys., tab.

Twórcy

autor

Digiesi S.

• Polytechnic of Bari, Department of Mechanics, Mathematics and Management, Viale Japigia, 182, 70126 Bari, Italy

autor

Mossa G.

• Polytechnic of Bari, Department of Mechanics, Mathematics and Management, Italy

autor

Mummolo G.

• Polytechnic of Bari, Department of Mechanics, Mathematics and Management, Italy

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