Work

Designing an Intelligent Warehouse Based on Genetic Algorithm and Fuzzy Logic for Determining Reorder Point and Order Quantity

Year: 2013

Type: article

Abstract: We develop a model to determine the reorder point and the optimal order quantity in a warehouse. Due to the maintenance costs, it is better to consider the order time period and the order quantity to prevent excessive inventory storage while reducing the cost on the other hand. In our study, we employ fuzzy logic as time decision aid and Genetic Algorithm for optimal order quantity. The decision making process is performed in an application software designed for a diary firm.

Source: Computer Science and Information Technology

DOI: 10.13189/csit.2013.010101

Authors: Esmail Khanlarpour, Hamed Fazlollahtabar, Iraj Mahdavi

Institutions: Mazandaran University of Science and Technology, Iran University of Science and Technology

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W32226264

FWCI: 1.704

Cites: 15

Cited by: 12

Related to: 10