Determination of Economic Production Quantity for a Multi-Stage Production System with Limited Storage Capacity

2003 ◽  
pp. 89-94
Author(s):  
U. Buscher ◽  
G. Lindner
Keyword(s):  
Production System ◽  
Storage Capacity ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Multi Stage ◽  
Production Quantity

A multiproduct single machine economic production quantity model for an imperfect production system under warehouse construction cost

2015 ◽  
Vol 169 ◽  
pp. 203-214 ◽  
Author(s):  
Seyed Hamid Reza Pasandideh ◽  
Seyed Taghi Akhavan Niaki ◽  
Amir Hossein Nobil ◽  
Leopoldo Eduardo Cárdenas-Barrón
Keyword(s):  
Single Machine ◽  
Production System ◽  
Construction Cost ◽  
Economic Production Quantity ◽  
Imperfect Production ◽  
Economic Production ◽  
Production Quantity

scholarly journals An EPQ Model for Deteriorating Production System and Items with Rework

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
N. Li ◽  
Felix T. S. Chan ◽  
S. H. Chung ◽  
Allen H. Tai
Keyword(s):  
Production System ◽  
Time Intervals ◽  
Total Cost ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Run ◽  
Epq Model ◽  
Production Quantity ◽  
Normal Production ◽  
The Impact

This paper investigates the economic production quantity model jointly considering product deterioration and a deteriorating production system with rework. In this imperfect deteriorating production system, not only does the machine produce defective product but also the machine is subjected to quality deterioration. To be more specific, the defective rate increases at certain time intervals. The defects produced are stored until the end of normal production process. Then they are reworked with extra cost to restore their quality and regarded as perfect product. The main objective is to minimize the total cost per unit product by determining the optimal combination of production run time and backlog quantity. Numerical experiments are carried out to illustrate the behavior of the inventory and show the impact of different parameters on the model. Discussion and conclusions are made at the end of the paper.

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