Abstract

Based on the mean and the standard deviation of lead time demand, and also taking the difficulty in measuring shortage cost into consideration, we investigate the joint decision problem of continuous review inventory in which a service level constraint should be satisfied. Under the assumption of controllable lead time and setup cost, a mathematical programming model is established. The objective function of the proposed model is the total expected annual cost and the constraint guarantees that the service level requirement can be satisfied at the worst case. Subsequently, an equivalent nonlinear programming model is derived. By constructing Lagrange function, the analysis regarding the solution procedure is conducted, and a solution algorithm is then provided. Moreover, a numerical example is introduced to illustrate the proposed model and solution algorithm. Through sensitivity analysis, some observations and managerial implications are provided.

Highlights

  • IntroductionThe length of lead time has direct influence on customer service level and total inventory cost

  • In inventory management, the length of lead time has direct influence on customer service level and total inventory cost

  • Considering the difficulty in measuring shortage cost, we proposed a distribution-free continuous review inventory model in the presence of a service level constraint

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Summary

Introduction

The length of lead time has direct influence on customer service level and total inventory cost. By using the mixture of distributions to describe lead time demand, Lee et al proposed a continuous review inventory model with variable backorder rate and service level constraint. In Annadurai and Uthayakumar , and Jaggi and Arneja , with a service level constraint, the continuous review inventory models involving controllable lead time and setup cost were investigated. The former focused on the demand with the mixture of distributions, while the latter focused on the demand with normal distribution.

Notations and Assumptions
The Mathematical Model
Solution Procedure
Numerical Example
Conclusions and Future Work
Full Text
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