Solving assembly sequence planning using angle modulated simulated kalman filter

Solving assembly sequence planning using angle modulated simulated kalman filter

This paper presents an implementation of Simulated Kalman Filter (SKF) algorithm for optimizing an Assembly Sequence Planning (ASP) problem. The SKF search strategy contains three simple steps; predict-measure-estimate. The main objective of the ASP is to determine the sequence of component installa...

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Main Authors: Ainizar, Mustapa, Zulkifli, Md. Yusof, Asrul, Adam, Badaruddin, Muhammad, Zuwairie, Ibrahim
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/23320/
http://umpir.ump.edu.my/id/eprint/23320/
http://umpir.ump.edu.my/id/eprint/23320/1/Solving%20assembly%20sequence%20planning%20using%20angle%20modulated%20simulated%20kalman%20filter.pdf
id ump-23320
recordtype eprints
spelling ump-233202019-04-25T03:42:53Z http://umpir.ump.edu.my/id/eprint/23320/ Solving assembly sequence planning using angle modulated simulated kalman filter Ainizar, Mustapa Zulkifli, Md. Yusof Asrul, Adam Badaruddin, Muhammad Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering TS Manufactures This paper presents an implementation of Simulated Kalman Filter (SKF) algorithm for optimizing an Assembly Sequence Planning (ASP) problem. The SKF search strategy contains three simple steps; predict-measure-estimate. The main objective of the ASP is to determine the sequence of component installation to shorten assembly time or save assembly costs. Initially, permutation sequence is generated to represent each agent. Each agent is then subjected to a precedence matrix constraint to produce feasible assembly sequence. Next, the Angle Modulated SKF (AMSKF) is proposed for solving ASP problem. The main idea of the angle modulated approach in solving combinatorial optimization problem is to use a function, g(x), to create a continuous signal. The performance of the proposed AMSKF is compared against previous works in solving ASP by applying BGSA, BPSO, and MSPSO. Using a case study of ASP, the results show that AMSKF outperformed all the algorithms in obtaining the best solution. IOP Publishing 2018-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23320/1/Solving%20assembly%20sequence%20planning%20using%20angle%20modulated%20simulated%20kalman%20filter.pdf Ainizar, Mustapa and Zulkifli, Md. Yusof and Asrul, Adam and Badaruddin, Muhammad and Zuwairie, Ibrahim (2018) Solving assembly sequence planning using angle modulated simulated kalman filter. In: 4th Asia Pacific Conference on Manufacturing Systems and the 3rd International Manufacturing Engineering Conference, APCOMS-iMEC 2017, 7-8 December 2017 , Yogyakarta, Indonesia. pp. 1-6., 319 (1). ISSN 1757-8981 (Print); 1757-899X (Online) https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012044/pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Ainizar, Mustapa
Zulkifli, Md. Yusof
Asrul, Adam
Badaruddin, Muhammad
Zuwairie, Ibrahim
Solving assembly sequence planning using angle modulated simulated kalman filter
description This paper presents an implementation of Simulated Kalman Filter (SKF) algorithm for optimizing an Assembly Sequence Planning (ASP) problem. The SKF search strategy contains three simple steps; predict-measure-estimate. The main objective of the ASP is to determine the sequence of component installation to shorten assembly time or save assembly costs. Initially, permutation sequence is generated to represent each agent. Each agent is then subjected to a precedence matrix constraint to produce feasible assembly sequence. Next, the Angle Modulated SKF (AMSKF) is proposed for solving ASP problem. The main idea of the angle modulated approach in solving combinatorial optimization problem is to use a function, g(x), to create a continuous signal. The performance of the proposed AMSKF is compared against previous works in solving ASP by applying BGSA, BPSO, and MSPSO. Using a case study of ASP, the results show that AMSKF outperformed all the algorithms in obtaining the best solution.
format Conference or Workshop Item
author Ainizar, Mustapa
Zulkifli, Md. Yusof
Asrul, Adam
Badaruddin, Muhammad
Zuwairie, Ibrahim
author_facet Ainizar, Mustapa
Zulkifli, Md. Yusof
Asrul, Adam
Badaruddin, Muhammad
Zuwairie, Ibrahim
author_sort Ainizar, Mustapa
title Solving assembly sequence planning using angle modulated simulated kalman filter
title_short Solving assembly sequence planning using angle modulated simulated kalman filter
title_full Solving assembly sequence planning using angle modulated simulated kalman filter
title_fullStr Solving assembly sequence planning using angle modulated simulated kalman filter
title_full_unstemmed Solving assembly sequence planning using angle modulated simulated kalman filter
title_sort solving assembly sequence planning using angle modulated simulated kalman filter
publisher IOP Publishing
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23320/
http://umpir.ump.edu.my/id/eprint/23320/
http://umpir.ump.edu.my/id/eprint/23320/1/Solving%20assembly%20sequence%20planning%20using%20angle%20modulated%20simulated%20kalman%20filter.pdf
first_indexed 2023-09-18T22:34:51Z
last_indexed 2023-09-18T22:34:51Z
_version_ 1777416527333556224

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