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 "Gokgur, Burak"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Article
    Citation - WoS: 14
    Citation - Scopus: 12
    Integrated optimisation of pricing- manufacturing- and procurement decisions of a make-to-stock system operating in a fluctuating environment
    (TAYLOR & FRANCIS LTD, 2023) Oktay Karabag; Burak Gokgur; Gokgur, Burak; Karabag, Oktay
    Manufacturers experience random environmental fluctuations that influence their supply and demand processes directly. To cope with these environmental fluctuations they typically utilise operational hedging strategies in terms of pricing manufacturing and procurement decisions. We focus on this challenging problem by proposing an analytical model. Specifically we study an integrated problem of procurement manufacturing and pricing strategies for a continuous-review make-to-stock system operating in a randomly fluctuating environment with exponentially distributed processing times. The environmental changes are driven by a continuous-time discrete state-space Markov chain and they directly affect the system's procurement price raw material flow rate and price-sensitive demand rate. We formulate the system as an infinite-horizon Markov decision process with a long-run average profit criterion and show that the optimal procurement and manufacturing strategies are of state-dependent threshold policies. Besides that we provide several analytical results on the optimal pricing strategies. We introduce a linear programming formulation to numerically obtain the system's optimal decisions. We particularly investigate how production rate holding cost procurement price and demand variabilities customers' price sensitivity and interaction between supply and demand processes affect the system's performance measures through an extensive numerical study. Furthermore our numerical results demonstrate the potential benefits of using dynamic pricing compared to that of static pricing. In particular the profit enhancement being achieved with dynamic pricing can reach up to 15% depending on the problem parameters.
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