Intelligent Sequence Optimization Method for Hole Making Operations in 2M Production Line

Thanveer Ahammed, Jaber Abu Qudeiri, Abdel Hamid Mourad, Aiman Ziout, Faris Safieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is concerned with the optimization of the tool path in a production line consisting of two machine tools. Existing computer – numerical control (CNC) time estimation methods are based either for a single machine or a single operation. As current methods don’t illustrate the necessity of the multiple operations with more than one machine, this paper presents a new method for CNC machining time estimation which predicts the optimal tool path sequence with minimal time for a 2M production line. The optimized sequence is determined by employing the most reliable hybrid method i.e., Genetic Algorithm (GA). Attention was focusing on the hole making operations where a hole may need multiple cutting tools to get the process finished. Each of the machines can do certain set of operations. So the non-productive time between two machines should be minimized and it is obtained by this intelligent sequence optimizer. This proposed technique is developed on a modified travel salesman problem algorithm with preceding constraints. The work also introduces a computational program based on this methodology. The numerical simulation conducted in this research shows that the proposed approach is feasible and practical. It is beneficial especially in real-time manufacturing process outlining and scheduling multiple systems.

Original languageEnglish
Title of host publicationProceedings of ICETIT 2019 - Emerging Trends in Information Technology
EditorsPradeep Kumar Singh, Bijaya Ketan Panigrahi, Nagender Kumar Suryadevara, Sudhir Kumar Sharma, Amit Prakash Singh
PublisherSpringer
Pages339-355
Number of pages17
ISBN (Print)9783030305765
DOIs
Publication statusPublished - 2020
Event1st International Conference on Emerging Trends in Information Technology, ICETIT 2019 - Delhi, India
Duration: Jun 21 2019Jun 22 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume605
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference1st International Conference on Emerging Trends in Information Technology, ICETIT 2019
Country/TerritoryIndia
CityDelhi
Period6/21/196/22/19

Keywords

  • CNC
  • Optimization
  • Production line
  • Tool path

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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