An Economic Production Quantity model with shortages, a variable lead time and a variable holding cost
Keywords:
Inventory model, variable lead time, variable holding cost, shortage cost, OptimizationAbstract
Nwakobi, Micheal Nnamdi
An economic production quantity model with shortages, a variable lead time and a variable holding cost represents a common real-life observation. It provides quantitative insight into a serious practical problem where costs are amplified due to production delay. Previous models incorporating variable lead time assume that the holding cost is constant for the entire inventory cycle. A mathematical model has been developed for determining the optimal production quantity and the optimal cycle time. The holding cost is considered as an increasing function of the ordering cycle length. Differential calculus is used for finding the optimal solution. A numerical example is used to validate the proposed model.
Downloads
Published
Issue
Section
Similar Articles
- Rashida Adamu Bulkachuwa, Bello Y. Idi, Musa Muhammad Salihu, Abdullahi Lawal, Salisu Tata, Evaluation of Excessive Lifetime Cancer Risk Due to Gamma Radiation on Rocks in Shira Village, Bauchi State Nigeria , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Charles German Ikimi, Ijeoma Cynthia Anyaoku, Maryann Nonye Nwafor, Biomarker Potentials of Postmortem Vitreous Biochemical Parameters For Resolving Disputed Causes of Death by Drowning Using Animal Models , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Ayomide Ayomikun Ajiboye, Muslihat Adejoke Gaffari, Onaara Enitan Obamuwagun, Predictive Analytics in Sport Management: Applying Machine Learning Models for Talent Identification and Team Performance Forecasting , Communication In Physical Sciences: Vol. 12 No. 7 (2025): VOLUME 12 ISSUE 7
- Akinboyo Samuel Imoleayo, Olayinka Otesanya, Richard Adjadeh, Statistical Modeling of Electoral Outcomes: Assessing the Impact of Socioeconomic and Demographic Variables on Voting Behavior , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Amadi Ugwulo Chinyere, Modelling Glucose-Insulin Dynamics: Insights for Diabetes Management , Communication In Physical Sciences: Vol. 11 No. 3 (2024): VOLUME 11 ISSUE 3
- Emmanuel Oluwemimo Falodun, Faith, Technology, and Safety: A Theoretical Framework for Religious Leaders Using Artificial Intelligence to Advocate for Gun Violence Prevention , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- A. E. Usoro, Comparing the Performance of Alternative Generalised Autoregressive Conditional Heteroskedasticity Models in Modelling Nigeria Crude Oil Production Volatility Series , Communication In Physical Sciences: Vol. 4 No. 2 (2019): VOLUME 4 ISSUE 2
- Muhammad Bello, Musa Bello, Dunah Lawissense Godfrey, Effect of Multimedia-Enriched Lecture Method on Retention Among Secondary School Physics Students in Kano Metropolis, Nigeria , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Humphrey Sam Samuel , Emmanuel Edet Etim, John Paul Shinggu, Bulus Bako, Machine Learning in Thermochemistry: Unleashing Predictive Modelling for Enhanced Understanding of Chemical Systems , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
You may also start an advanced similarity search for this article.



