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Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration
- Source :
- Annals of Operations Research. 260:437-460
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- In this paper, a deterministic inventory control model with deterioration is developed. Here, the deterioration rate follows stochastic deterioration, especially Weibull distribution deterioration. A time-dependent demand approach is introduced to show the applicability of our proposed model and to be up-to-date with respect to time. The main purpose of the paper is to investigate the optimal retailer's replenishment decisions for deteriorating items including time-dependent demand for demonstrating more practical circumstances within economic-order quantity frameworks. Keeping in mind the criterion of modern era, we consider that the holding cost is totally dependent on time, and shortages are allowed for this model. Subject to the formulated model, we minimize the total inventory cost. The mathematical model is explored by numerical examples to validate the proposed model. A sensitivity analysis of the optimal solution with regard to important parameters is also carried out to elaborate the quality, e.g., stability, of our result and to possibly modify our model. The paper ends with a conclusion and an outlook to future studies.
- Subjects :
- Optimization
Inventory control
0209 industrial biotechnology
021103 operations research
Operations research
media_common.quotation_subject
Inventory
0211 other engineering and technologies
Stability (learning theory)
Holding cost
General Decision Sciences
Economic shortage
02 engineering and technology
Management Science and Operations Research
Stochastic deterioration
Shortage
020901 industrial engineering & automation
Time-dependent demand
Theory of computation
Economics
Quality (business)
Sensitivity (control systems)
Time-varying holding cost
Weibull distribution
media_common
Subjects
Details
- ISSN :
- 15729338 and 02545330
- Volume :
- 260
- Database :
- OpenAIRE
- Journal :
- Annals of Operations Research
- Accession number :
- edsair.doi.dedup.....b4b3a5dcabf6a676423c86036c347ff7
- Full Text :
- https://doi.org/10.1007/s10479-016-2355-5