A SOCIOECONOMIC-BASED SUSTAINABLE SCHEDULING MODEL CONSIDERING LABOR LEARNING BEHAVIOR

A. Mohamed Saeed Khaled, B. Ibrahim Abdelfadeel Shaban, C. Mohamed Hussein, D. Ismail Zahran

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

Abstract

Make-to-order manufacturing is a complex system that requires careful planning and scheduling. This paper presents a sustainable production scheduling model for make-to-order manufacturing systems. The model takes into account both economic and social factors. Economic factors include production costs, while social factors include the learning curve of laborers. The learning curve is a measure of how quickly workers improve their productivity as they gain experience. The model was implemented in a glass panels manufacturing company, and the results showed that production costs were reduced by 21.63% while also considering social sustainability. The proposed model is a valuable tool for make-to-order manufacturing companies that are looking to improve their efficiency and sustainability. The model can help companies to reduce production costs, improve worker productivity, and increase social sustainability.

Original languageEnglish
Title of host publication50th International Conference on Computers and Industrial Engineering, CIE 2023
Subtitle of host publicationSustainable Digital Transformation
EditorsYasser Dessouky, Abdulrahim Shamayleh
PublisherComputers and Industrial Engineering
Pages111-121
Number of pages11
ISBN (Electronic)9781713886952
Publication statusPublished - 2023
Event50th International Conference on Computers and Industrial Engineering: Sustainable Digital Transformation, CIE 2023 - Sharjah, United Arab Emirates
Duration: Oct 30 2023Nov 2 2023

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume1
ISSN (Electronic)2164-8689

Conference

Conference50th International Conference on Computers and Industrial Engineering: Sustainable Digital Transformation, CIE 2023
Country/TerritoryUnited Arab Emirates
CitySharjah
Period10/30/2311/2/23

Keywords

  • Learning curve
  • Production planning
  • scheduling
  • Sustainability
  • sustainable development

ASJC Scopus subject areas

  • General Computer Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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