Bilgilendirme: Sürüm Güncellemesi ve versiyon yükseltmesi nedeniyle, geçici süreyle zaman zaman kesintiler yaşanabilir ve veri içeriğinde değişkenlikler gözlemlenebilir. Göstereceğiniz anlayış için teşekkür ederiz.
 

An optimization model for worker assignment of a mixed model vehicle production assembly line under worker mobility

No Thumbnail Available

Date

2011

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Journal Issue

Abstract

In this study, we consider the problem of worker assignment in a mixed model vehicle production assembly line. In particular, we focus on large size vehicles like busses and trucks that have multi zones in which workers can perform their assigned tasks simultaneously. This situation requires balancing the workloads of workers assigned in a certain set of workstations. Over the assembly line, it is allowed that workers may change their workstations during the same cycle. Moreover, each worker has a certain skill level which configures the possible set of tasks to be undertaken. Scale of the product, worker mobility and skill differences make the studied problem complicated. We propose a worker assignment model and develop a heuristic algorithm whose performance is to be evaluated against the optimal seeking methods in terms of small sized problems. We report on the validation of our heuristic algorithm in real …

Description

Keywords

Turkish CoHE Thesis Center URL

Fields of Science

Citation

Karabak, Funda...et al. "An optimization model for worker assignment of a mixed model vehicle production assembly line under worker mobility", Proceedings of the 41st International Conference on Computers & Industrial Engineering, pp. 483-490, 2011.

WoS Q

Scopus Q

Source

Proceedings of the 41st International Conference on Computers & Industrial Engineering

Volume

Issue

Start Page

483

End Page

490
Page Views

191

checked on Nov 24, 2025

Downloads

1

checked on Nov 24, 2025

Google Scholar Logo
Google Scholar™

Sustainable Development Goals

SDG data is not available