Bounds for production lot sizing with machine breakdowns
Computers and Industrial Engineering
Optimal manufacturing batch size with rework process at a single-stage production system
Computers and Industrial Engineering
Economic production quantity models for deteriorating items with price- and stock-dependent demand
Computers and Operations Research
Applied Stochastic Models in Business and Industry
A perishable inventory system with retrial demands and a finite population
Journal of Computational and Applied Mathematics
Modeling fuzzy multi-period production planning and sourcing problem with credibility service levels
Journal of Computational and Applied Mathematics
Multi-product production quantity model with repair failure and partial backordering
Computers and Industrial Engineering
Using the EPQ for coordinated planning of a product with partial backordering and its components
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 7.29 |
In this paper, a multiproduct single-machine production system under economic production quantity (EPQ) model is studied in which the existence of only one machine causes a limited production capacity for the common cycle length of all products, the production defective rates are random variables, shortages are allowed and take a combination of backorder and lost sale, and there is a service rate constraint for the company. The aim of this research is to determine the optimal production quantity, the allowable shortage level, and the period length of each product such that the expected total cost, including holding, shortage, production, setup and defective items costs, is minimized. The mathematical model of the problem is derived for which the objective function is proved to be convex. Then, a derivative approach is utilized to obtain the optimal solution. Finally, two numerical examples in each of which a sensitivity analysis is performed on the model parameters, are provided to illustrate the practical usage of the proposed methodology.