Development of Optimal Size Range of Modules for Driving of Automatic Sliding Doors

The article is dedicated to the choice of an optimal size range of modules driving automatic sliding doors. The optimal size range is a compromise between the conflicting interests of manufacturers and users. The problem is particularly relevant, since the product is widely used in the construction...

Full description

Saved in:
Bibliographic Details
Main Authors: Ivo Malakov, Velizar Zaharinov, Hasan Hasansabri
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/18/5/248
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The article is dedicated to the choice of an optimal size range of modules driving automatic sliding doors. The optimal size range is a compromise between the conflicting interests of manufacturers and users. The problem is particularly relevant, since the product is widely used in the construction sector, but there are no developments for scientifically sound determination of the elements of the range. Most often in practice, one oversized module is used for all doors, regardless of the conditions of the specific problem. This leads to an increase in the production costs and operating costs. Size range optimization will lead to increase in the competitiveness of the manufactured products and the efficiency of their application. To solve the problem, a developed approach is used, composed of several stages: determining the main parameter of the product; market demand study; selection of an optimality criterion—the total costs for production and operation; determining the functional dependence between the costs and the influencing factors; and building a mathematical model of the problem. Based on a known optimization method, recurrent dependencies for calculating the total costs have been derived. Utilizing developed algorithms and software application, the optimal size range is determined.
ISSN:1999-4893