Geri Dön

Optimal inventory policies with postponed demand by price discounts

Fiyat indirimleri ile ertelenen taleple optimal stok politikaları

  1. Tez No: 587185
  2. Yazar: MUZAFFER ALIM
  3. Danışmanlar: Dr. PATRICK BEULLENS
  4. Tez Türü: Doktora
  5. Konular: Ekonomi, İşletme, Economics, Business Administration
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2018
  8. Dil: İngilizce
  9. Üniversite: University of Southampton
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 119

Özet

Özet yok.

Özet (Çeviri)

This thesis introduces a demand postponement policy in order to improve the performance of inventory management under batch ordering, advance demand information, capacitated/ uncapacitated and periodic/continuous review inventory systems. The main aim of this study is to nd integrated demand postponement and inventory policies. The structure of the thesis consists of ve main chapters which starts with an introduction in Chapter 1 which summarizes the main objectives of the study with a background information, followed by a Chapter 2 presenting an overview of the relevant literature and the methodology. Chapter 3 as the rst research paper, an inventory problem with stochastic demand and batch ordering and lost sales based on a real case is introduced and a demand postponement policy applied on this system to convert some of the lost sales to advance demand. A Markov Decision Process model is proposed and it is solved through Linear Programming (LP). The dual of the primal model is used to reduce the computational e ort and it is tested with several numerical data sets. The optimal inventory policy and discount policy for di erent batches are shown for managerial insights. In Chapter 4, the same problem without batch ordering is formulated by Markov Decision Process (MDP) solved by Backward induction algorithm. In addition, the demand pattern is changed to Advance Demand Information (ADI) which combines both stochastic and deterministic demand. The properties of optimal inventory and postponement policy parameters are analyzed and the numerical experiments are carried out under the uncapacitated and capacitated systems to show the impact of the postponement policy. The comparison of policy parameters with the literature shows that the demand postponement policy is highly e ective for the ecient use of capacity. In Chapter 5, the extension of the problem to a continuous review inventory system with distribution strategies is studied by an Net Present Value (NPV) approach. The e ectiveness of demand postponement under di erent nancial settings are examined and an extensive numerical experiments are presented. The thesis ends with a conclusion in Chapter 6 including the summary of the results, limitations of the study and further research directions. Keywords. Operational research, Supply Chain management, Logistic, Inventory management, Advance demand information, net present value, Periodic/continuous review inventory models, demand postponement, price discount

Benzer Tezler

  1. Optimal inventory policies in serial supply chains multi-echelon inventory management: A case study in the porcelain industry

    Ser tedarik zinciri çok kademeli envanter yönetiminde en uygun envanter çözüm yolları: Porselen endüstrisinde bir uygulama

    NURİ MERT ONUR

    Yüksek Lisans

    İngilizce

    İngilizce

    2005

    İşletmeİstanbul Üniversitesi

    İşletme (İngilizce) Ana Bilim Dalı

    YRD. DOÇ. DR. FAİK BAŞARAN

  2. Leasing and remanufacturing strategies with pricing and inventory control

    Kiralama ve yeniden üretim stratejilerinde fiyatlandırma ve envanter kontrolü

    NURCAN DEMİROK

    Yüksek Lisans

    İngilizce

    İngilizce

    2011

    Endüstri ve Endüstri MühendisliğiBoğaziçi Üniversitesi

    Endüstri Mühendisliği Ana Bilim Dalı

    PROF. DR. REFİK GÜLLÜ

  3. Inventory policies for an assemble-to-order system with joint discount incentives

    Ortak indirim teşviği olan siparişe göre montaj sisteminde envanter politikaları

    ÖNDER TOMBUŞ

    Doktora

    İngilizce

    İngilizce

    2008

    Endüstri ve Endüstri MühendisliğiBoğaziçi Üniversitesi

    Mühendislik Bilimleri Ana Bilim Dalı

    DOÇ. TANER BİLGİÇ

  4. Inventory control for slow-moving items with application to real data

    Yavaş devreden stoklar için envanter kontrolünün gerçek verilere uygulanması

    SEZİN TAMER

    Yüksek Lisans

    İngilizce

    İngilizce

    2010

    Endüstri ve Endüstri MühendisliğiDokuz Eylül Üniversitesi

    İstatistik Ana Bilim Dalı

    YRD. DOÇ. DR. UMAY UZUNOĞLU KOÇER

  5. Perakende sektöründe belirsiz talep ortamında satışa sunulacak ürünlerin stoklama politikaları ve bir uygulama

    Stock policies of products to be offered for sale in the indefinite demand environment of retail sector and an application

    ONAT AKCAN

    Yüksek Lisans

    Türkçe

    Türkçe

    2011

    Endüstri Ürünleri Tasarımıİstanbul Ticaret Üniversitesi

    Endüstri Mühendisliği Ana Bilim Dalı

    PROF. DR. MUSTAFA KÖKSAL