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Design of an intelligent support system for fabric quality inspection

  • Imam Abdulrahman Bin Faisal University

Research output: Contribution to journalArticlepeer-review

Abstract

Efficient quality management in production process is the key factor for firm’s permanence and prosperity. The rapped globalization development and shortage of resources leading to enhance the efforts toward good raw material exploitation. The present work aims to develop a Decision Support System (DSS) that may provide and facilitate one of the most difficult multi-decision problems that quality managers, in textile manufacturing firm face. In addition, the DSS is developed for a textile manufacturer and it will automate a variety of tasks to improve rolls quality; control the defect distribution on rolls by inventing anew cutting scenarios with respect to inspection results, rolls length, and number of assemblies. The DSS tool, applied for more than 100 fabric lots, will be demonstrated through a short selection of practical case studies.

Original languageEnglish
Pages (from-to)31-39
Number of pages9
JournalPeriodicals of Engineering and Natural Sciences
Volume10
Issue number3
DOIs
StatePublished - 2022

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

  • Demerit point
  • Fabric inspection
  • Optimization
  • Quality management

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