Sampling inspection strategy on continuous review inventory model with a service level constraint

Abstract. A cross-regional multi-site inventory system with independent Poisson demand and continuous review (S-1,S) policy, in which there is bidirectional transshipment between the locations at the same area, and unidirectional transshipment between the locations at the different area. According to the M/G/S/S queue theory, birth and death process model and approximate calculation policy, we established inventory models respectively for the loss sales case and backorder case, and designed corresponding procedures to solve them. Finally, we verify the effectiveness of proposed models and methods by means of a lot of contrast experiments.

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A note on defective units in an inventory model with sub-lot sampling inspection for variable lead-time demand with the mixture of free distributions

International Transactions in Operational Research ◽

10.1111/j.1475-3995.2004.00462.x ◽

2004 ◽

Vol 11 (3) ◽

pp. 341-359 ◽

Cited By ~ 7

Author(s):

J-W. Wu ◽

W.-C. Lee ◽

H.-Y. Tsai

Keyword(s):

Lead Time ◽

Inventory Model ◽

Sampling Inspection

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An Inventory Model for Deteriorating Drugs with Stochastic Lead Time

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15122772 ◽

2018 ◽

Vol 15 (12) ◽

pp. 2772 ◽

Cited By ~ 1

Author(s):

Jian Li ◽

Lu Liu ◽

Hao Hu ◽

Qiuhong Zhao ◽

Libin Guo

Keyword(s):

Shelf Life ◽

Inventory Management ◽

Lead Time ◽

Service Level ◽

Inventory Model ◽

Effective Management ◽

Product Availability ◽

Stochastic Lead Time ◽

Random Lead Time ◽

The Right

Inventory management of deteriorating drugs has attracted considerable attention recently in hospitals. Drugs are a kind of special product. Two characteristics of some drugs are the shorter shelf life and high service level. This causes hospitals a great deal of difficulty in inventory management of perishable drugs. On one hand, hospitals should increase the drug inventory to achieve a higher service level. On the other hand, hospitals should decrease the drug inventory because of the short shelf life of drugs. An effective management of pharmaceuticals is required to ensure 100% product availability at the right time, at the right cost, in good conditions to the right customers. This requires a trade-off between shelf-life and service level. In addition, many uncontrollable factors can lead to random lead time of drugs. This paper focuses on deteriorating drugs with stochastic lead time. We have established a stochastic lead time inventory model for deteriorating drugs with fixed demand. The lead time obeyed a certain distribution function and shortages were allowed. This model also considered constraints on service level, stock space and drug shelf life. Through the analysis of the model, the shelf life of drugs and service level were weighted in different lead time distributions. Empirical analysis and sensitivity analysis were given to get reach important conclusions and enlightenment.

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