Economic production quantity with imperfect production processes and learning effects
Deng-Maw Tsai
Abstract
Deng-Maw Tsai
Abstract
The fundamental assumptions of the classical economic production quantity (EPQ) model are that the production rate is constant and 100% of items in each production lot are perfect. These assumptions are not always pertinent while learning is in progress, production process deterioration, or other factors happen. Therefore, this study investigates the effects of learning and imperfect quality items on the EPQ model. The system is assumed to deteriorate during the production process and produce some proportion of defective items. A mathematical model is derived to determine the optimal production quantity. Numerical example and sensitivity analysis are presented to illustrate important issues related to the developed model.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The fundamental assumptions of the classical economic production quantity (EPQ) model are that the production rate is constant and 100% of items in each production lot are perfect. These assumptions are not always pertinent while learning is in progress, production process deterioration, or other factors happen. Therefore, this study investigates the effects of learning and imperfect quality items on the EPQ model. The system is assumed to deteriorate during the production process and produce some proportion of defective items. A mathematical model is derived to determine the optimal production quantity. Numerical example and sensitivity analysis are presented to illustrate important issues related to the developed model.
Key concepts: Economic production quantity, Production (economics), Imperfect, Quality (philosophy), Process (computing), Constant (computer programming), Computer science, Sensitivity (control systems)