Concepts for safety stock determination under stochastic demand and different types of random production yield

Concepts for safety stock determination under stochastic demand and different types of random production yield

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Article ID: iaor20126261
Volume: 224
Issue: 2
Start Page Number: 293
End Page Number: 301
Publication Date: Jan 2013
Journal: European Journal of Operational Research
Authors: ,
Keywords: stochastic processes, production, simulation, demand, inventory
Abstract:

We consider a manufacturer’s stochastic production/inventory problem under periodic review and present methods for safety stock determination to cope with uncertainties that are caused by stochastic demand and different types of yield randomness. Following well‐proven inventory control concepts for this problem type, we focus on a critical stock policy with a linear order release rule. A central parameter of this type of policy is given by the safety stock value. When non‐zero manufacturing lead times are taken into account in the random yield context, it turns out that safety stocks have to be determined that vary from period to period. We present a simple approach for calculating these dynamic safety stocks for different yield models. Additionally, we suggest approaches for determining appropriate static safety stocks that are easier to apply in practice. In a simulation study we investigate the performance of the proposed safety stock variants.

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