scholarly journals Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost

2020 ◽  
Vol 12 (21) ◽  
pp. 8964
Author(s):  
Mubashir Hayat ◽  
Bashir Salah ◽  
Misbah Ullah ◽  
Iftikhar Hussain ◽  
Razaullah Khan

Determining replenishment lot size and number of shipments in a traditional production setup has been of great interest among researchers during the last decades. In order to survive modern competition, the manufacturer has to make good decisions about the lot size that is to be shipped to the retailer. Recently, several researchers have developed mathematical models for modelling different real-world situations; however, these models are lacking due to a combination of imperfection in process and shipment lot sizing. Therefore, in the proposed research, shipment policy for an imperfect production setup has been developed with transportation costs taken into consideration. The model analyzed lot sizing for manufacturers and retailers with imperfections in terms of equally sized shipments. Furthermore, an all-unit-discount policy for shipment is considered in the proposed research, and at the end, numerical computation and sensitivity analyses are carried out to gain more insight into the specifications of the model.

2016 ◽  
Vol 15 (1) ◽  
pp. 78 ◽  
Author(s):  
Nurike Oktavia ◽  
Henmaidi Henmaidi ◽  
Jonrinaldi Jonrinaldi

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.


Author(s):  
Terrence J. Moran ◽  
Marvin Troutt

<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>


Author(s):  
Arindum Mukhopadhyay ◽  
Adrijit Goswami

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


Author(s):  
Terrence J. Moran ◽  
Kevin Brayer

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.


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