Agility assessment in new product development for an electronics manufacturing company.

Agility evaluations are commonly used in various industrial settings for various businesses. The demand for advanced and innovative electrical items has skyrocketed in recent years. As a result, management decided to investigate the present agility performance in an electronic manufacturing company&...

Full description

Saved in:
Bibliographic Details
Main Authors: Phong, Wei Loon, Wong, Kuan Yew
Format: Conference or Workshop Item
Published: 2023
Subjects:
Online Access:http://eprints.utm.my/107312/
https://doi.org/10.1063/5.0177716
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.107312
record_format eprints
spelling my.utm.1073122024-09-01T07:07:36Z http://eprints.utm.my/107312/ Agility assessment in new product development for an electronics manufacturing company. Phong, Wei Loon Wong, Kuan Yew TJ Mechanical engineering and machinery Agility evaluations are commonly used in various industrial settings for various businesses. The demand for advanced and innovative electrical items has skyrocketed in recent years. As a result, management decided to investigate the present agility performance in an electronic manufacturing company's product development process to drive and meet client demand. The organisation cannot define the necessary measures that may be used for agility performance due to a lack of understanding in analysing agility performance for the product development process. Because agility cannot be defined using a quantitative method by its subjective and vague linguistic description, a fuzzy inference system-based model is developed to evaluate agility performance in the product development process. The product development process's agility metrics are defined, and survey questions are created accordingly. Expert survey responses are in the form of linguistic variables. As a result, the Mamdani fuzzy inference system (FIS) use MATLAB to calculate membership function grades and linguistic phrases for various agility levels. Furthermore, If-then fuzzy rules are utilised to collect and add the relationship between agility measures based on experts' expertise while dealing with challenges of uncertainty and vagueness. The generated crisp output results for metrics and overall agility performance are valuable suggestions for company management to examine and determine which metrics should be prioritised for product development agility enhancement. The overall agility score in the product development process is 4.52, which is marginal average. Therefore, agility improvements are needed to adapt quickly to unknowns and unforeseen shifts in client demand while maintaining cost and quality control. 2023-11-17 Conference or Workshop Item PeerReviewed Phong, Wei Loon and Wong, Kuan Yew (2023) Agility assessment in new product development for an electronics manufacturing company. In: 7th International Conference on Quantitative Sciences and its Applications, ICOQSIA 2022, 22 August 2022 - 24 August 2022, Sintok, Malaysia - Virtual, Online. https://doi.org/10.1063/5.0177716
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Phong, Wei Loon
Wong, Kuan Yew
Agility assessment in new product development for an electronics manufacturing company.
description Agility evaluations are commonly used in various industrial settings for various businesses. The demand for advanced and innovative electrical items has skyrocketed in recent years. As a result, management decided to investigate the present agility performance in an electronic manufacturing company's product development process to drive and meet client demand. The organisation cannot define the necessary measures that may be used for agility performance due to a lack of understanding in analysing agility performance for the product development process. Because agility cannot be defined using a quantitative method by its subjective and vague linguistic description, a fuzzy inference system-based model is developed to evaluate agility performance in the product development process. The product development process's agility metrics are defined, and survey questions are created accordingly. Expert survey responses are in the form of linguistic variables. As a result, the Mamdani fuzzy inference system (FIS) use MATLAB to calculate membership function grades and linguistic phrases for various agility levels. Furthermore, If-then fuzzy rules are utilised to collect and add the relationship between agility measures based on experts' expertise while dealing with challenges of uncertainty and vagueness. The generated crisp output results for metrics and overall agility performance are valuable suggestions for company management to examine and determine which metrics should be prioritised for product development agility enhancement. The overall agility score in the product development process is 4.52, which is marginal average. Therefore, agility improvements are needed to adapt quickly to unknowns and unforeseen shifts in client demand while maintaining cost and quality control.
format Conference or Workshop Item
author Phong, Wei Loon
Wong, Kuan Yew
author_facet Phong, Wei Loon
Wong, Kuan Yew
author_sort Phong, Wei Loon
title Agility assessment in new product development for an electronics manufacturing company.
title_short Agility assessment in new product development for an electronics manufacturing company.
title_full Agility assessment in new product development for an electronics manufacturing company.
title_fullStr Agility assessment in new product development for an electronics manufacturing company.
title_full_unstemmed Agility assessment in new product development for an electronics manufacturing company.
title_sort agility assessment in new product development for an electronics manufacturing company.
publishDate 2023
url http://eprints.utm.my/107312/
https://doi.org/10.1063/5.0177716
_version_ 1809136656376135680
score 13.209306