Repository logoGCRIS
  • English
  • Türkçe
  • Русский
Log In
New user? Click here to register. Have you forgotten your password?
Home
Communities
Browse GCRIS
Entities
Overview
GCRIS Guide
  1. Home
  2. Browse by Author

Browsing by Author "Bayrak, Bilge"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Conference Object
    A DSS for Competency-Based Workforce Scheduling for Multi-production Lines
    (Springer Science and Business Media Deutschland GmbH, 2023) Ziya Arsan; Bilge Bayrak; Selin Kader; Bilge Özen; Mert Turan Sarıca; Batuhan Türkan; Ege Duran; Levent Kandiller; Bayrak, Bilge; Özen, Bilge; Sarıca, Mert Turan; Kader, Selin; Arsan, Ziya; Kandiller, Levent; Türkan, Batuhan; N.M. Durakbasa , M.G. Gençyılmaz
    Today effective workforce scheduling is crucial for companies. This paper presents a workforce scheduling problem for multiple production lines. This study aims to develop an efficient and methodological shift scheduling algorithm for a heating device plant to reduce unnecessary overtime and improve quality and performance. The workers are assigned to the stations based on their qualification rates and a line balancing option is provided if required. After linearizing the non-linear objective function using an innovative approach the mathematical model is developed and solved by OPL CPLEX STUDIO IDE 12.10.0. With toy and original data. The mathematical model is verified and validated and the results provide the optimal assignment of the workers to maximize the quality of lines. Since the company cannot use CPLEX due to license restrictions the mathematical model is integrated into the Python program using the Pulp library to provide a solver option to the company. Moreover the Hungarian method is coded in Python to create an instant solution. Since the company prefers to assign the workers manually a greedy method is developed to improve the manual solution. Finally a user-friendly Decision Support System is designed to support the decision-making processes. © 2023 Elsevier B.V. All rights reserved.
Repository logo
Collections
  • Scopus Collection
  • WoS Collection
  • TrDizin Collection
  • PubMed Collection
Entities
  • Research Outputs
  • Organizations
  • Researchers
  • Projects
  • Awards
  • Equipments
  • Events
About
  • Contact
  • GCRIS
  • Research Ecosystems
  • Feedback
  • OAI-PMH

Log in to GCRIS Dashboard

GCRIS Mobile

Download GCRIS Mobile on the App StoreGet GCRIS Mobile on Google Play

Powered by Research Ecosystems

  • Privacy policy
  • End User Agreement
  • Feedback