• Skip to main content
  • Skip to footer
Knowledge center for the Texas A&M University Industrial Distribution Program

Thomas and Joan Read Center for Distribution Research & Education

  • About Us
    • News
    • Message From Our Directors
    • Faculty, Staff, & Speakers
    • Body of Knowledge
      • Publications
    • The RELLIS Campus
    • Program and Consortia FAQs
    • Contact Us
  • Professional Development
    • Find a Program
    • Open Enrollment Programs
      • Certificate in Distribution Professional Management
    • Custom Programs
    • Events
    • Request Program Information
  • Research
    • Global Supply Chain Laboratory
      • Industry Projects
    • The Talent Incubator Program
  • Industry Consortia
    • Current Industry Consortia
    • Past Industry Consortia
  • Partners
    • NAW Collaboration
    • Donors
    • Industry Sponsors
You are here: Home / Research / Global Supply Chain Laboratory / Industry Projects / Network Optimization

Network Optimization

Overview

Even a business with strong potential due to optimal pricing and human resource management can be crippled by poor networking. Mismanaged networks can result in a chaotic, unpredictable business environment which will result in long, costly, and disorganized operations. Network optimization allows effective allocation of inventory, reduced costs and lead times, and a stronger bottom line.

The network optimization research has allowed our company to continue to stay ahead of our competition and excel in customer service.”

-Tim Miller, Vice President – Operations Security Contractor Services, Inc.

Hats off to Texas A&M for taking common industry problems with complex components and developing scientific methodologies that are flexible enough to work for any company.”

-Jimmy Roark, Regional Sales Manager NOV Wilson

Challenges

  • Unplanned Organic Growth
  • Multiple Facilities through M&A’s
  • Long Lead Times
  • Excessive Inventory
  • Competition Driven
  • Ineffective Routing/Scheduling
  • Poor Truck Capacity Utilization (loading or cubing) Market
  • High Cost-to-Serve

Solutions

  • Facility Network Optimization
  • Hub and Spoke Design
  • Service vs. Cost Matrix

Benefits

  • Facility Reduction/Expansion, Optimal Network Capacity, and Reduced Operating Expenses
  • Optimal Network Configuration
  • Aligned Inventory Deployment
  • Insight Into Service-cost Trade-offs
  • High Profitability
  • Reduced Delivery Cost Per Order
  • Increased Capacity Utilization
Network Optimization
Network Optimization
Network Optimization

Footer

Thomas & Joan Read Center for Distribution Research and Education

Connect with Read Center: link: Thomas and Joan Read Center LinkedIn page
Connect with Talent Incubator: link: Talent Incubator Program LinkedIn page

Texas A&M Engineering Experiment Station

Texas A&M University College of Engineering

Copyright © 2023 · Texas A&M Engineering Experiment Station · All Rights Reserved