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Similarity of Parts Determined by Semantic Networks as the Basis for Manufacturing Cost Estimation

  • Research and Development Centre for Mechanical Appliances OBRUM Ltd

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The method of estimating the production costs proposed in the article is based on the hypothesis that the cost of producing a newly introduced element is similar to the production cost of a previously manufactured element, provided that the elements are similar in terms of design, structure and manufacturing technology. The semantic web method was used to determine the similarity of the elements. In proposed method, the shape as well as structural and technological features of the element are recorded in the form of a graph. The element is divided into functional surfaces to which quantitative and qualitative parameters and technological features can be assigned. Networks describing specific elements can be compared by pairs, resulting in obtaining a factor of structural and technological similarity (s&t similarity). The ability to set the weights of semantic network’s branches allows to fine-tune the method to the requirements of different users, according to specific technical and organizational conditions in the company. In order to verify the thesis, the estimated costs of a selected group of gear-housing-type elements were compared with the costs calculated by another method.

Original languageEnglish
Title of host publication15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020
EditorsÁlvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
PublisherSpringer Science and Business Media Deutschland GmbH
Pages320-330
Number of pages11
ISBN (Print)9783030578015
DOIs
Publication statusPublished - 2021
Event15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020 - Burgos, Spain
Duration: 16 Sept 2020 → 18 Sept 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1268 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference15th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2020
Country/TerritorySpain
CityBurgos
Period16/09/20 → 18/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Cost estimation
  • Functional surfaces
  • Semantic networks
  • Structural and technological similarity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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