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Third Party Logistics – Development of a selection model to enhance supply chain visibility

Title: Third Party Logistics – Development of a selection model  to enhance supply chain visibility

Diploma Thesis , 2008 , 114 Pages , Grade: 1,3

Autor:in: Jan Borsdow (Author)

Engineering - Industrial Engineering and Management
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Summary Excerpt Details

“Demand information sharing and supply visibility are two essential elements that build trust between supply partners and form the foundation of supplier integration.” - Edward FRAZELLE (2002, 161)

Visibility systems become incrementally important for medium sized companies. COMPANY as a Third Party Logistics Provider (3PLs) acknowledged the trend and has developed a web-based visibility system for all sizes of companies. Visibility systems facilitate companies in optimising their links with external supply chain partners in order to gain distinctive visibility into information and product flow. In other words, visibility systems facilitate information sharing between supply chain partners in order to enhance supply chain visibility (SCV) and thus improving supply chain performance. In cooperation with COMPANY a selection model is designed and developed to identify and segment client and non-client companies with the need for better SCV (Figure 1). The foregoing identification is necessary to filter companies with insufficient SCV. The affiliating segmentation allows categorising the clients for additional service offered by COMPANY to enhance the SCV. The selection model analyses and benchmarks the demand variation and its effect
on safety stock in order to identify a SCV gap.

[…]

The selection model is developed for a mid-sized manufacturing company based in Western Australia. The company expressed concerns about insufficient visibility in its supply chain processes towards COMPANY earlier. The concerns are based on growing safety stock levels due to variation in received customer demand in previous years. Analyses of the client company’s customer demand and inventory data provide insides into SCV performance and conclude about the need of a visibility system.

To sum up, the overall objectives of the thesis are:

• Developing a selection model prototype to identify SCV gaps,
• Using demand and inventory data for the analysis,
• IT resource determination of client’s company,
• Including a sub-module for customer segmentation, and
• Application for one specific sample case company.

Companies using Visibility System of COMPANY as their visibility technology are tied closely to COMPANY, resulting in a thoroughly collaboration yielding in enhancement of the overall supply chain performance.

Excerpt


Inhaltsverzeichnis (Table of Contents)

  • Introduction
    • Objectives and Problem Definition
    • Structure of the Thesis
    • Scope and Delimitations of the Thesis
  • Literature Review
    • Introduction to Supply Chain Management
      • The Supply Chain as a Competitive Advantage
      • Supply Chain Challenges
      • Major Supply Chain Drivers
        • Production
        • Inventory
        • Location
        • Transportation
        • Information
    • Supply Chain Visibility
      • Benefits of Supply Chain Visibility
        • Bullwhip-Effect
        • Demand Uncertainty
        • Safety Stock
      • Obstacles in Achieving Supply Chain Visibility
      • Technology Landscape
    • Key Performance Indicators (KPIs)
    • Introduction to Outsourcing
      • Outsourcing Benefits and Risks
      • Outsourcing in the Logistics/Supply Chain Industry
      • Third Party Logistics (3PL)
      • A Framework for Make/Buy Decisions
    • Customer Segmentation
  • Company Overview
    • Company Profile
    • Visibility System of COMPANY
  • AS-IS Analysis
    • Methodology
      • Research Methods
      • Strategy and Data Analysis
      • Assessment of Method Alternatives
      • Wrap-up of the Methods
    • Elicitation and Analysis
      • Demand Aggregation and Analysis
      • Inventory Costs Analysis
      • IT Resources Decision Matrix
      • Customer Segmentation
      • Vulnerability Analysis
  • TO-BE Concept
    • Selection Model Concept
    • Pre-requisites for the Selection Model
    • Selection Model Sub-Modules

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis aims to develop a selection model for third-party logistics (3PL) providers that enhances supply chain visibility. The research investigates the challenges of achieving supply chain visibility and explores how a robust selection model can mitigate these challenges. The study is based on a case study of a specific company.

  • Supply Chain Visibility and its Benefits
  • Third-Party Logistics (3PL) Provider Selection
  • Key Performance Indicators (KPIs) in Supply Chain Management
  • Analysis of Existing Supply Chain Processes
  • Development of a Selection Model for 3PL Providers

Zusammenfassung der Kapitel (Chapter Summaries)

The Introduction defines the research objectives and outlines the thesis structure. The Literature Review provides a comprehensive overview of supply chain management, focusing on visibility, KPIs, and 3PL. Chapter 3 presents a company overview, while Chapter 4 delves into an "as-is" analysis of the company's supply chain, examining demand, inventory costs, IT resources, customer segmentation, and vulnerabilities. Chapter 5 introduces a "to-be" concept, focusing on the development of a 3PL selection model.

Schlüsselwörter (Keywords)

Third Party Logistics (3PL), Supply Chain Visibility, Key Performance Indicators (KPIs), Supply Chain Management, Selection Model, Outsourcing, Inventory Management, Demand Forecasting, Customer Segmentation.

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Details

Title
Third Party Logistics – Development of a selection model to enhance supply chain visibility
College
University of Applied Sciences Berlin
Grade
1,3
Author
Jan Borsdow (Author)
Publication Year
2008
Pages
114
Catalog Number
V121384
ISBN (eBook)
9783640263165
Language
English
Tags
Third Party Logistics Development
Product Safety
GRIN Publishing GmbH
Quote paper
Jan Borsdow (Author), 2008, Third Party Logistics – Development of a selection model to enhance supply chain visibility, Munich, GRIN Verlag, https://www.grin.com/document/121384
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Excerpt from  114  pages
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