scholarly journals An optimal setup cost reduction and lot size for economic production quantity model with imperfect quality and quantity discounts

2021 ◽  
Vol 17 (1) ◽  
pp. 467-484
Author(s):  
Tien-Yu Lin ◽  
◽  
Bhaba R. Sarker ◽  
Chien-Jui Lin ◽  
◽  
...  
Keyword(s):  
Cost Reduction ◽  
Quantity Discounts ◽  
Lot Size ◽  
Setup Cost ◽  
Imperfect Quality ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Setup Cost Reduction

scholarly journals Economic Production Quantity (EPQ) model for three type imperfect items with rework and learning in setup

2013 ◽  
Vol 4 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Arindum Mukhopadhyay ◽  
Adrijit Goswami
Keyword(s):  
Model Performance ◽  
Lot Size ◽  
Setup Cost ◽  
Imperfect Quality ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Run ◽  
Imperfect Items ◽  
Production Quantity ◽  
Set Up

Imperfect quality Items are unavoidable in an Inventory system due to imperfect productionprocess, natural disasters, damages, or many other reasons. The setup cost and production cycletime can be related in terms of process deterioration and learning and forgetting effects. Learningreduces production run length and setup cost, whereas deterioration and forgetting increases both.Keeping these facts in mind, this paper investigates an Economic Production Quantity (EPQ) modelwith imperfect quality items with varying set-up costs. Mathematical model and solution proceduresare developed with major insight to its charecteristics. Numerical example and sensitivity analysisare provided to illustrate and analyze the model performance. It is observed that our model has asignificant impacts on the optimal lot size and optimal profit of the model.Classication: 90B05

Fuzzy Economic Production Quantity Model for Weibull Deteriorating Items with Ramp Type of Demand

2011 ◽  
Vol 2 (3) ◽  
pp. 55-90 ◽  
Author(s):  
R. Uthayakumar ◽  
M. Valliathal
Keyword(s):  
Deteriorating Items ◽  
Quantity Discounts ◽  
Setup Cost ◽  
Economic Production Quantity ◽  
Deterministic Demand ◽  
Economic Production ◽  
Holding Cost ◽  
Production Quantity ◽  
Delay In Payments ◽  
The Cost

This paper discusses an Economic Production Quantity model for Weibull deteriorating items over an infinite time horizon under fuzzy environment. Fuzziness is introduced by allowing the cost components such as setup cost, production cost, holding cost, shortage cost and opportunity cost due to lost sales to certain extent. Triangular fuzzy numbers are used to represent the mentioned costs. Optimum policies of the described models under fuzzy costs are derived. The proposed model can be extended in several ways. For instance, the deterministic demand function to stochastic fluctuating demand patterns could be considered. The model could also be generalized to allow for quantity discounts, as well as permissible delay in payments.

scholarly journals A Simulation Study Of Economic Production Quantity Lot Size To Kanban For A Single Line Production System Under Various Setup Times With Annual Setup Cost As Performance Metric

2011 ◽  
Vol 15 (2) ◽  
pp. 23 ◽  
Author(s):  
Terrence J. Moran ◽  
Kevin Brayer
Keyword(s):  
Setup Time ◽  
Performance Measure ◽  
Time Variable ◽  
Lot Size ◽  
Setup Cost ◽  
Line Production ◽  
Economic Production Quantity ◽  
Performance Metric ◽  
Economic Production ◽  
Production Quantity

The Setup time variable was evaluated for the two systems (Kanban and EPQ) against the performance measure of annual setup cost. EPQ outperforms Kanban onsetup cost. The research helped clarify for practitioners whether EPQ might be more suitable than Kanban for their given situations.

Fuzzy Economic Production Quantity Model for Weibull Deteriorating Items with Ramp Type of Demand

2012 ◽  
pp. 225-261
Author(s):  
M. Valliathal ◽  
R. Uthayakumar
Keyword(s):  
Deteriorating Items ◽  
Quantity Discounts ◽  
Setup Cost ◽  
Economic Production Quantity ◽  
Deterministic Demand ◽  
Economic Production ◽  
Production Quantity ◽  
Delay In Payments ◽  
The Cost ◽  
Demand Patterns

This paper discusses an Economic Production Quantity model for Weibull deteriorating items over an infinite time horizon under fuzzy environment. Fuzziness is introduced by allowing the cost components such as setup cost, production cost, holding cost, shortage cost and opportunity cost due to lost sales to certain extent. Triangular fuzzy numbers are used to represent the mentioned costs. Optimum policies of the described models under fuzzy costs are derived. The proposed model can be extended in several ways. For instance, the deterministic demand function to stochastic fluctuating demand patterns could be considered. The model could also be generalized to allow for quantity discounts, as well as permissible delay in payments.

scholarly journals Pengembangan Model Economic Production Quantity (EPQ) dengan Sinkronisasi Demand Kontinu dan Diskrit Secara Simultan

2016 ◽  
Vol 15 (1) ◽  
pp. 78 ◽  
Author(s):  
Nurike Oktavia ◽  
Henmaidi Henmaidi ◽  
Jonrinaldi Jonrinaldi
Keyword(s):  
Total Production ◽  
Lot Size ◽  
Inventory Cost ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Holding Cost ◽  
Epq Model ◽  
Production Quantity ◽  
Set Up ◽  
Production Lot Size

The most popular inventory model to determine production lot size is Economic Production Quantity (EPQ). It shows enterprise how to minimize total production cost by reducing inventory cost. But, three main parameters in EPQ which are demand, machine set up cost, and holding cost, are not suitable to solve issues nowadays. When an enterprise has two types of demand, continue and discrete demand, the basic EPQ would be no longer useful. Demand continues comes from a customer who wants their needs to be fulfilled every time per unit time, while the fulfillment of demand discrete is at a fixed interval of time. A literature review is done by writers to observe other formulation of EPQ model. As there is no other research can be found which adopt this topic, this study tries to develop EPQ model considering two types of demand simultaneously.

Economic production quantity (EPQ) model with partial backordering and a discount for imperfect quality batches

2018 ◽  
Vol 56 (18) ◽  
pp. 6279-6293 ◽  
Author(s):  
Luiza Ribeiro Alves Cunha ◽  
Ana Paula Santos Delfino ◽  
Kamila Almeida dos Reis ◽  
Adriana Leiras
Keyword(s):  
Imperfect Quality ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Partial Backordering ◽  
Epq Model ◽  
Production Quantity

scholarly journals A Simulation Study Of Economic Production Quantity Lot Size To Kanban For A Single Line Production System Under Various Setup Times With Completion Time As Performance Metric

2011 ◽  
Vol 7 (10) ◽  
Author(s):  
Terrence J. Moran ◽  
Marvin Troutt
Keyword(s):  
Completion Time ◽  
Setup Time ◽  
Performance Measure ◽  
Total Completion Time ◽  
Lot Size ◽  
Line Production ◽  
Economic Production Quantity ◽  
Performance Metric ◽  
Economic Production ◽  
Production Quantity

<h1 style="page-break-after: auto; text-align: justify; line-height: normal; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="color: black; font-size: 10pt; font-weight: normal;"><span style="font-family: Times New Roman;">The Setup time variable was evaluated for the two systems (Kanban and EPQ) against the performance measure of total completion time.<span style="mso-spacerun: yes;">&nbsp; </span>EPQ outperforms Kanban on total completion time.<span style="mso-spacerun: yes;">&nbsp; </span>The research helped clarify for practitioners whether EPQ might be more suitable than Kanban for their given situations.<span style="mso-spacerun: yes;">&nbsp; </span></span></span></h1>

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