Título del libro: Problem Solving In Operation Management
Título del capítulo: Determining the demand in inventory policies for mexican companies using fuzzy sets
RICARDO ACEVES GARCIA; ZAIDA ESTEFANIA ALARCON BERNAL;
Autores externos:
Idioma:
Año de publicación:
2020
Palabras clave:
EOQ fuzzy; Fuzzy optimization; Inventory and fuzzy demand; MRP fuzzy
Resumen:
In this chapter, we show an alternative to estimate the demand for the inventory control by fuzzy set for its calculation under uncertainty, and in this way, it is incorporated the subjective knowledge and administrative experience in its determination. One of the problems in Mexican companies with regard to the definition and calculation of the demand has to be with the maintenance provided by those companies, the updated data, and the system variables considered in the inventories. This action is considered as an extra cost and unnecessary. The most used models for inventory controls in the Mexican industry are Material Requirements Planning (MRP) and Economic Order Quantity (EOQ), models raised and solved in this work considering the demand as a fuzzy number. To solve EOQ with fuzzy demand, it is presented a methodology that will facilitate its use in the industry; for MRP model, it is developed to solve it through a problem of linear programming with flexible restrictions and making calculations of approximation to fuzzy numbers, using a-cuts. Finally, it is presented illustrative examples to understand the way of work with these models and fuzzy sets and also graphics and analysis of the results to know the advantages and disadvantages of using fuzzy numbers. © Springer Nature Switzerland AG 2021. All rights reserved.
Entidades citadas de la UNAM:
ISBN:
9783030500894
Editorial:
Springer International Publishing Nombre de la publicación:
Determining the demand in inventory policies for mexican companies using fuzzy sets
Página inicial:
135
Página final:
157
