Geri Dön

Scenario planning in logistics and supply chain industry: DB schenker AG case study

Başlık çevirisi mevcut değil.

  1. Tez No: 402860
  2. Yazar: ARİF ÖZDEN
  3. Danışmanlar: DR. EFSTATHIOS TAPINOS
  4. Tez Türü: Yüksek Lisans
  5. Konular: Endüstri ve Endüstri Mühendisliği, Industrial and Industrial Engineering
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2011
  8. Dil: İngilizce
  9. Üniversite: Aston University
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 199

Özet

Özet yok.

Özet (Çeviri)

Global world is going to be more complex and dynamic to predict future. The future of the supply chain management and logistics sector will be affected by many threats and opportunities from uncertain future environment. There are different models for overcoming uncertainty. Scenario planning is one of these models and helps to coping with uncertainties. This paper applied scenario planning as a strategic management tool to determine future trends and future possible strategies for DB Schenker AG which is in the logistics and supply chain industry, and explore what is predictable and what is uncertain in this industry. This paper tries to answer“Which strategies will DB Schenker AG have to focus on for 2030 to keep and increase their customer confidence and shareholder value in an uncertain future environment?”There are different methods for scenario planning, this paper edited Tapinos (2009) method to reflect logistics industry and competitors. This paper focused on long range planning, industry drivers, competitors and competences.“Nano world, Urban and Social Life, Regulated world”scenarios were developed and tried to present how the world might be in 2030, in order to help DB Schenker AG and rethinking its current strategies to adapt future. These scenarios based on main uncertainties which are Oil price, technological changes, megacities and urbanisation and level of emissions rate. Four strategies were suggested to cope with future uncertainties these are“Special sector solutions, Technology based Logistic management, Consultancy services and find after 4PL (5PL) and finally Organisational learning by Collaboration / co-opetition.”Overall, this paper helps to understand uncertain world and provide practical scenario planning examples in Logistics and Supply chain industry.

Benzer Tezler

  1. Kriz dönemlerinde değer zinciri yönetimi: Herşey dahil otellerde bir araştırma

    Value chain management during crisis period: A study in all-inclusive hotels

    BUKET KOMSUOĞLU

    Doktora

    Türkçe

    Türkçe

    2024

    TurizmAlanya Alaaddin Keykubat Üniversitesi

    Turizm İşletmeciliği Ana Bilim Dalı

    PROF. DR. BURÇİN CEVDET ÇETİNSÖZ

  2. Quantitative evaluation of airport driven urban development model: Case of Itanbul airport

    Havalimanına bağlı kentsel gelişme sayısal tahmin modeli: İstanbul havalimanı örneği

    TORKAN BORNA SEİFLOO

    Doktora

    İngilizce

    İngilizce

    2020

    Şehircilik ve Bölge Planlamaİstanbul Teknik Üniversitesi

    Şehir ve Bölge Planlama Ana Bilim Dalı

    DOÇ. DR. MEHMET ALİ YÜZER

  3. Deniz ticaret endekslerini zaman serisi modelleri kullanarak tahminleme

    Forecasting maritime trade indexes by using the time series models

    KAAN KOYUNCU

    Doktora

    Türkçe

    Türkçe

    2022

    Denizcilikİstanbul Teknik Üniversitesi

    Deniz Ulaştırma Mühendisliği Ana Bilim Dalı

    PROF. DR. LEYLA TAVACIOĞLU

  4. ERP sistemine entegre tüketime dayalı stok kontrol parametrelerinin belirlenmesi

    Determination of consumption-based inventory control parameters integrated in the ERP system

    NEVA EMEL İŞLER

    Yüksek Lisans

    Türkçe

    Türkçe

    2024

    Mühendislik BilimleriSakarya Üniversitesi

    Endüstri Mühendisliği Ana Bilim Dalı

    PROF. DR. EMİN GÜNDOĞAR

  5. Afet tedarik zinciri yönetiminde stokastik, çok periyotlu, çok-modlu, çok malzemeli, iki-seviyeli yardım malzemesi dağıtım modeli

    A two-stage stochastic, multi-period, multi-modal and multi-commodity model for the disaster-relief supply chain distribution and planning

    ÇAĞLAR UTKU GÜLER

    Doktora

    Türkçe

    Türkçe

    2016

    Endüstri ve Endüstri MühendisliğiHava Harp Okulu Komutanlığı

    Endüstri Mühendisliği Ana Bilim Dalı

    YRD. DOÇ. DR. MURAT ERMİŞ