© 2005 Georgia Tech Warehouse Operations: Performance Assessment and Benchmarking.

Slides:

Advertisements

Similar presentations

WAREHOUSING MANAGEMENT

Advertisements

WAREHOUSING MANAGEMENT

BizBench® Software: Customized Financial Analysis

Building Competitive Advantage through Functional Level Strategy

COMPANY ACTIVITY QUALITY ASSURANCE ENVIRONMENTAL ORGANISATION COMPANY HISTORY OUR MISSION Serving You Around the World, Around the Clock.

Logistic Management Warehousing

Software Engineering Institute Carnegie Mellon University Pittsburgh, PA Sponsored by the U.S. Department of Defense © 1998 by Carnegie Mellon.

Sixth Edition 1 M a n a g e m e n t I n f o r m a t i o n S y s t e m s M a n a g I n g I n f o r m a t i o n T e c h n o l o g y i n t h e E – B u s i.

Transportation and Warehouse Planning Systems Byron Flores Bus M. 462 April 12, 2010.

Copyright 2006 Prentice-Hall, Inc. Essentials of Systems Analysis and Design Third Edition Joseph S. Valacich Joey F. George Jeffrey A. Hoffer Chapter.

Office Live Basics. Track projects, customers, and company information in one place  Manage your company's projects, sales leads, employees, customer.

Supply Chain Management

Distribution Capacity Analysis P09721 MSD 1 Project Review Aaron Heyman – Lead Jose Rodriguez Adam Cook Abraham Taleb Sponsor: CooperVision.

What is an Information System? Input of DataResourcesProcessing Data Data Control of System Performance Storage of Data Resources Output of InformationProducts.

Thursday, February 10, Management of Information Systems: Mini-3 Spring 2000.

Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill Technology Education Copyright © 2006 by The McGraw-Hill Companies,

9 C H A P T E R Transaction Processing and Enterprise Resource Planning Systems.

Manasa Guduru Sai Prasanth Sridhar Malini srinivasan Sinduja Narasimhan Reference: Aymerich, F. M., Fenu, G., & Surcis, S. (2008). An approach to a cloud.

Managing Purchasing and Inventory

H-1 Network Management Network management is the process of controlling a complex data network to maximize its efficiency and productivity The overall.

WAREHOUSE MANAGEMENT Industrial Logistics (BPT 3123)

PRESENTATION START.

BEST PRACTICES IN THE SEARCH & SELECTION OF A 3PL PARTNER OPERATIONS SUMMIT 2013 Presenters: Rick Hall – VP, Client Success, FIFTH GEAR Matt Konkle – President,

Initiating and Planning Systems Development projects

Information Systems Planning

Eleventh Edition 1 Introduction to Information Systems Essentials for the Internetworked E-Business Enterprise Irwin/McGraw-Hill Copyright © 2002, The.

14 Publishing a Web Site Section 14.1 Identify the technical needs of a Web server Evaluate Web hosts Compare and contrast internal and external Web hosting.

Chapter 5 Presented by Group 6

Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall 4.1.

Virtual Business CREATING A WEB PRESENCE Copyright © Texas Education Agency, All rights reserved.

Inventory/Purchasing Questions

Copyright 2001 Prentice-Hall, Inc. Essentials of Systems Analysis and Design Chapter 3 Systems Planning and Selection 3.1.

Part 3 Managing for Quality and Competitiveness © 2015 McGraw-Hill Education.

Alter – Information Systems © 2002 Prentice Hall 1 The Process of Information System Planning.

Managing Purchasing and Inventory 1 PROCUREMENT. Managing Purchasing and Inventory 2 Describe the importance of planning purchases. Identify factors that.

Pass it On National Conference On Reuse of Assistive Technology May 9, 2006 Atlanta, Georgia.

Intermediate 2 Software Development Process. Software You should already know that any computer system is made up of hardware and software. The term hardware.

Logistics Management CHAPTER ELEVEN McGraw-Hill/Irwin Copyright © 2011 by the McGraw-Hill Companies, Inc. All rights reserved.

Datawarehouse A sneak preview. 2 Data Warehouse Approach An old idea with a new interest: Cheap Computing Power Special Purpose Hardware New Data Structures.

There are several Packing and Moving companies that provide Warehousing and storage services for storing goods for a short period of time. Suppose you.

Chapter 8: Storage and Handling

CIS 210 Systems Analysis and Development Week 8 Part II Designing Distributed and Internet Systems,

NovaBACKUP xSP Technical Training By: Nathan Fouarge

McGraw-Hill/Irwin © 2013 The McGraw-Hill Companies, Inc., All Rights Reserved. Chapter 12 Sales/Collection Process.

L – 5 Distribution Channel - Warehousing and Inventory Management.

1 Increase Value Reduce Waste/Cost Strategic warehouse management direction in the next 18 months Rex Ma, Senior consultant, SCM PRODCUT SOLUTIONS, Oracle.

Incredible Logistic Solutions, Inc

Careers in Distribution, Copyright 2005, WERC Careers in Distribution Introduction.

WAREHOUSE BENCHMARKING Meeting January Seven Steps to Successful Benchmarking Plan 1. Set Benchmarking Priorities 2. Identify the Key Processes.

Slide 1 Software Construction Software Construction Lecture 3.

Applying Lean Principles in Warehouse Operations

Best Practices Consortium

Functional and Enterprise Systems

Topic 3 : Effective Stocktaking Skills

INTRO TO SAP EWM.

PRESENTATION TO.

Common Learning Blocks

Best Practices Consortium

Functional and Enterprise Systems

EIN 6133 Enterprise Engineering

How To Impress Your Customers With On-time Delivery of Their Orders

Best Practices Consortium

Automated Warehouse Planning System

McGraw-Hill Technology Education

Supply Chain Management

B207A Big ideas in organizations

Managing Fulfillment Operations

3PL Logistic Software. What is a 3PL? You take the orders. Your third-party logistics provider (3PL) fulfils them. It’s that simple and if it’s seamless,

Presentation transcript:

© 2005 Georgia Tech Warehouse Operations: Performance Assessment and Benchmarking

© 2005 Georgia Tech Leon F. McGinnis School of Industrial and Systems Engineering Georgia Tech

© 2005 Georgia Tech Competition

© 2005 Georgia Tech Collaboration

© 2005 Georgia Tech It makes good economic sense to collaborate on infrastructure standards that lift all boats It also makes good economic sense to collaborate on improving warehousing and distribution infrastructure

© 2005 Georgia Tech Warehousing in general is 2-5% of cost of goods sold A 20% improvement in warehouse efficiency goes straight to the bottom line…

© 2005 Georgia Tech Old Way to Improve Warehousing

© 2005 Georgia Tech New Way to Improve Warehousing

© 2005 Georgia Tech Warehouse Operations Receiving Function Unload Inspect Put Away Shipping Function Pack Order Pick Storage Function Consume resources: –Space –Equipment (and software) –Labor –Inventory Produce services –Customer orders filled –Replenishment orders received –Value adding services –Returns processed Load

© 2005 Georgia Tech iDEAs Provides: An SAT-like score, evaluating overall resource efficiency, based on fantasy league warehouse constructed from a large peer groupONLINE A comparative analysis of partial productivities, relative to the best in the peer group, identifying the true opportunity for improvement ONLINE An industry-level analysis of key factors affecting resource efficiency OFFLINE

© 2005 Georgia Tech Html documents Solver Database At your site Georgia Tech Server Over the Internet Your data is private and secure How Does iDEAs Work?

© 2005 Georgia Tech Key Points Process is secure: nobody ever sees individual company data, except for the research team Process is inexpensive: –Free version: –BISG-sponsored version: contact Jeff Abraham at BISG to subscribe –These two versions are different!

© 2005 Georgia Tech

Your Warehouse SAT

© 2005 Georgia Tech Now you know how you compare What drives your performance? To the best possible Ranking in the peer group

© 2005 Georgia Tech Partial Efficiency (PE) Analysis PE can be decomposed into 7 multiplicative factors including DEA. Partial Efficiency =Technical Efficiency Technical Change Scale Efficiency Input Slack Factor Input Substitution Factor Output Slack Factor Output Substitution Factor waste can be fixed, long term not a warehouse issue excessive resources wrong mix of resources overproduce some services wrong mix of services

© 2005 Georgia Tech

The Basic iDEAs One system efficiency score Relative to the best possible based on a specified peer group Partial efficiency analysis

© 2005 Georgia Tech Over 600 warehouse records in our database Over 180 qualified users Roughly 60 extended warehouse records

© 2005 Georgia Tech Benchmarking and Best Practices Illustration Purposes Only!

© 2005 Georgia Tech Are there measurable factors that explain efficiency performance? Quality of labor Number of customers Response time requirements Inventory turnover etc

© 2005 Georgia Tech Seasonality Data

© 2005 Georgia Tech Seasonality Effect

© 2005 Georgia Tech Labor Turnover Effect

© 2005 Georgia Tech Inventory Turnover Effect

© 2005 Georgia Tech Where do we go from here?

© 2005 Georgia Tech Questions?