Sinopsis
In this book, a mixed integer programming (MIP) model formulation has been proposed to find out the optimum order quantity, optimum order time, and the minimum total cost of purchasing, ordering, and holding over the predefined planning horizon. Several forecasting techniques have been used to determine future demands. As in reality the price is not always stable, the prices of the parts were estimated. The companies also need an adequate amount of safety stock on hand to avoid stock-outs due to the uncertainty in demand; therefore, optimal safety stock for each part was calculated based on variance in demand, lead time and the target service level. Material requirements planning (MRP) was also done to obtain the economic purchasing schedule of parts. GAMS software was used to validate the model. Accordingly, the model was utilized to find out the optimum solutions of the lot sizing problem using LINGO software.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
In this book, a mixed integer programming (MIP) model formulation has been proposed to find out the optimum order quantity, optimum order time, and the minimum total cost of purchasing, ordering, and holding over the predefined planning horizon. Several forecasting techniques have been used to determine future demands. As in reality the price is not always stable, the prices of the parts were estimated. The companies also need an adequate amount of safety stock on hand to avoid stock-outs due to the uncertainty in demand; therefore, optimal safety stock for each part was calculated based on variance in demand, lead time and the target service level. Material requirements planning (MRP) was also done to obtain the economic purchasing schedule of parts. GAMS software was used to validate the model. Accordingly, the model was utilized to find out the optimum solutions of the lot sizing problem using LINGO software.
Biografía del autor
Maryam Mohammadi, received Bachelor’s degree in Industrial Engineering from Islamic Azad University - South Tehran Branch in 2009, and Master’s degree in Industrial Engineering program from Universiti Teknologi Malaysia (UTM) in 2012. Her research interests are in production planning and control, supply chain management, and operation research.
"Sobre este título" puede pertenecer a otra edición de este libro.
Resultados de la búsqueda para Optimization Models for Solving Lot-Sizing Problems
Imagen del vendedor
Optimization Models for Solving Lot-Sizing Problems | A Study in Mixed Integer Programming with Feasible Solutions
Publicado por
LAP Lambert Academic Publishing, 2012
ISBN 10: 3659170704
ISBN 13: 9783659170706
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Optimization Models for Solving Lot-Sizing Problems | A Study in Mixed Integer Programming with Feasible Solutions | Maryam Mohammadi (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659170706 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106381571
Comprar nuevo
EUR 66,40
Envío por EUR 70,00
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 5 disponibles
Imagen del vendedor
Optimization Models for Solving Lot-Sizing Problems : A Study in Mixed Integer Programming with Feasible Solutions
Publicado por
LAP Lambert Academic Publishing, 2012
ISBN 10: 3659170704
ISBN 13: 9783659170706
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a mixed integer programming (MIP) model formulation has been proposed to find out the optimum order quantity, optimum order time, and the minimum total cost of purchasing, ordering, and holding over the predefined planning horizon. Several forecasting techniques have been used to determine future demands. As in reality the price is not always stable, the prices of the parts were estimated. The companies also need an adequate amount of safety stock on hand to avoid stock-outs due to the uncertainty in demand; therefore, optimal safety stock for each part was calculated based on variance in demand, lead time and the target service level. Material requirements planning (MRP) was also done to obtain the economic purchasing schedule of parts. GAMS software was used to validate the model. Accordingly, the model was utilized to find out the optimum solutions of the lot sizing problem using LINGO software. Nº de ref. del artículo: 9783659170706
Comprar nuevo
EUR 79,95
Envío por EUR 62,66
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 2 disponibles
Imagen de archivo
Optimization Models for Solving Lot-Sizing Problems
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659170704
ISBN 13: 9783659170706
Antiguo o usado
Paperback
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA77336591707046
Comprar usado
EUR 173,89
Envío por EUR 28,91
Se envía de Reino Unido a Estados Unidos de America
Se envía de Reino Unido a Estados Unidos de America
Cantidad disponible: 1 disponibles