Uncategorized

August 2017

Performance Measurement Based on Inputs vs. Outputs

Performance Measurement Based on Inputs vs. Outputs

Ehsan Khodabandeh PhD Operations Research Scientist
I’ve never thought deeply about performance measurement based on inputs vs. outputs. But then I read a blog post by Laura Albert, Industrial & ...
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July 2017

Shipping Cost: Interaction of Number of Shipments and Locations

Shipping Cost: Interaction of Number of Shipments and Locations

Ehsan Khodabandeh PhD Operations Research Scientist
A transportation specialist needs to determine the best plan for shipping the customers’ orders on a daily basis. One important aspect of the decis...
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Storytelling in Analytics, Part 2

Storytelling in Analytics, Part 2

Andy Fox Engagement Manager
In this 2-part blog series, we reflect on the Opex Analytics Academy Session, Best Practices in Storytelling and Visualization. Part 1 of the serie...
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May 2017

Review: Ten Simple Rules for Effective Statistical Practice

Review: Ten Simple Rules for Effective Statistical Practice

Alex Banks Watson Supply Chain Consultant
I recently read Ten Simple Rules for Effective Statistical Practice by Kass et al and was inspired to share the article as it elegantly captures a ...
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Supporting M&A with Operational Optimization – Part II

Supporting M&A with Operational Optimization – Part II

Kristen Daihes
Partner
Mohsen Moarefdoost Ph.D.
Operations Research Scientist
Welcome Back In our first series of this blog, we talked about the wave of M&A activity and shared 7 examples of how strategic optimization sho...
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White Paper:  Service Level Measures in the Supply Chain

White Paper: Service Level Measures in the Supply Chain

Michael Watson Ph.D Partner
(Click here for a pdf white paper on service level measures in the supply chain.  The following article is the full text.  This also appeared as a ...
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March 2017

Blog Series: Demystifying Data Science

Blog Series: Demystifying Data Science

Austin Haygood Supply Chain Leader
Blog Series: Demystifying Data Science If you are like me, you hear terms like machine learning, data mining, algorithms, etc. talked about as need...
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December 2016

From an Executive: Operations is Good for Business

From an Executive: Operations is Good for Business

Austin Haygood Supply Chain Leader
As we reflect back on 2016, a few interesting themes emerge on the importance of operations in business: Some of the biggest brands in the world ar...
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November 2016

How you should be using Multi-Echelon Inventory Tools

How you should be using Multi-Echelon Inventory Tools

Sara Hoormann Principal
In a previous blog Dr. Mike Watson offered up a statement that seemed to goes against what people have been taking for granted within inventory sol...
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September 2016

You Don’t Need the Optimization in Multi-Echelon Inventory Optimization

You Don’t Need the Optimization in Multi-Echelon Inventory Optimization

Michael Watson Ph.D Partner
The Truth is That Multi-Echelon Inventory Optimization is Widely Misunderstood and Chances are, you Don’t Need Optimization (This article fir...
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July 2016

Extra! Extra! Here’s What You Need to Know about the Newsvendor Problem

Extra! Extra! Here’s What You Need to Know about the Newsvendor Problem

Larry Snyder, Ph.D. Senior Research Associate
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November 2015

6 Modeling Tips from LLamasoft and JLL

6 Modeling Tips from LLamasoft and JLL

Michael Watson Ph.D Partner
  (This article first appeared in SC Digest.) At the same CSCMP talk as Benjamin Moore (covered here), Jason Brewer of LLamasoft (a provider o...
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April 2015

Interactive Twitter Analysis of NCAA Elite 8 Weekend

Interactive Twitter Analysis of NCAA Elite 8 Weekend

Bradford Winkelman
Last Sunday we followed March Madness on Twitter to see what fans and rivals were discussing during the final day of the Elite Eight competitions. ...
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March 2015

Check Out Our Interactive Twitter Dashboard for Your March Madness Teams

Check Out Our Interactive Twitter Dashboard for Your March Madness Teams

Sari Nahmad Data Scientist
We are collecting Twitter data for the NCAA Tournament. We’ll have more to come, but you will like this dashboard. It shows which team has th...
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Text Analytics and Twitter: What can Companies Derive from Social Media and what are the Challenges?

Sari Nahmad Data Scientist
So what can companies expect to derive from social media, in this case Twitter? To give a little background, Twitter is an online social networking...
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Using Transactional Data to Estimate Truckload Market Conditions in Near-Real-Time

Using Transactional Data to Estimate Truckload Market Conditions in Near-Real-Time

Alex Scott
What is the status of the truckload transportation market?  Does demand outstrip supply?  Does supply outstrip demand?  Is the market relatively ba...
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Top Five Rules for Cleaning Data in a Strategic Project

Top Five Rules for Cleaning Data in a Strategic Project

Michael Watson Ph.D Partner
After receiving a lot of feedback on our video interview on data cleaning, we just published an article on Supply Chain Digest on the top five rule...
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Customer Behavior from Web and Text Data

Diego Klabjan Partner
Many sites and portals offer text content on web pages. For example, news aggregators such as The Huffington Post or Google News allow users to bro...
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February 2015

Big Data: A Misnomer

Diego Klabjan Partner
Google Trends shows no organic searches for term “big data” until 2011 and an approximately 7-fold increase in the next two years, and then searche...
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Do You Have Clean Data for a Strategic Project?

Michael Watson Ph.D Partner
When doing a strategic analysis, most firms either assume they have exactly the right data.  That is, these firms have ERP systems full of data, da...
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Information Gain based feature selection in Spark’s MLlib

Information Gain based feature selection in Spark’s MLlib

Diego Klabjan Partner
We recently worked on a client engagement that included web data and other customer specific information. It was a propensity analysis type project...
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Analytics at the American Red Cross

Andy Fox Engagement Manager
Since many of the most publicized examples of advanced analytics consider companies in the private sector, we don’t often think about how these tec...
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January 2015

Hortonworks White Paper: The Rise of the Data First Enterprise

Cario Lullo
Recently Hortonworks published the attached white paper on how the advent of big data technologies have given rise to a “new ultra-competitiv...
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November 2014

5 Lessons from the Book “Scaling Up Excellence”

Michael Watson Ph.D Partner
I’ve recently read the book Scaling Up Excellence by Robert Sutton and Huggy Rao. ( Click here is you want a 14-minute HBR podcast interview ...
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Three Ways the Supply Chain Wastes Big Data

Michael Watson Ph.D Partner
One of the important lessons from the analytics movement is that you should take advantage of the data you are already collecting.   There could be...
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Modeling the Competition

Michael Watson Ph.D Partner
When making strategic decisions, it is often important to understand what your competition is doing. I recently wrote a short article Supply Chain ...
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October 2014

Why Small and Medium Businesses (SMBs) Are a Big Opportunity for Business Analytics

Diego Klabjan Partner
Fortune 500 companies are big enough, and have enough resources, to assemble and run their own internal analytics teams. In today’s environment, it...
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A Prerequisite for On-time Analytics Projects

Diego Klabjan Partner
Needless to say, there can be no analytics project without data. A project starts by identifying data, cleansing it, performing analytics, and then...
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Spark and in-memory databases: Tachyon leading the pack

Diego Klabjan Partner
The biggest grunts about Hadoop is its batch processing focus and the fact that iterative algorithms cannot be written efficiently. For this reason...
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Just-In-Time and Lean Concepts in New Areas

Michael Watson Ph.D Partner
JIT (or “Just-in-time” and later morphed into being called Lean) started out as part of Toyota’s manufacturing strategy where parts were deli...
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Mixing real-time and batch data processing

Diego Klabjan Partner
Want to process real-time data? Web anyone? Or IoT or the industrial internet! You can fire spouts and bolts in Storm and get “whoops, one of our a...
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What Artificial Intelligence Research and Toyota’s JIT Revolution Can Teach Us About Analytics

Michael Watson Ph.D Partner
Last week, the Wall Street Journal’s Review section ran a long article from Walter Isaacson on artificial intelligence.   The overall article...
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September 2014

More Proof that You Should Pay Attention to Big Data: Case New Holland Ad for Farmers During a Big Ten Game is All About Big Data

Michael Watson Ph.D Partner
Today, I was watching the PSU-NU game on the Big Ten Network when an ad came on for Case New Holland’s AFS Connect system (a farm management ...
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August 2014

Big Data does not mean you have Clean Data

Michael Watson Ph.D Partner
In all the hype around Big Data, it is often forgotten that you still need to spend time cleaning data so you can use it efficiently. We just publi...
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July 2014

Economist Article: Use Big Data to Drive Many Small Changes that Add Up

Michael Watson Ph.D Partner
A recent Economist article (Little things that mean a lot) on Big Data discussed that the use of data can actually help find many small changes tha...
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June 2014

Another Benefit of Analytics: Recruiting Talent

Michael Watson Ph.D Partner
One of the overlooked side benefits of building internal analytics capability is recruiting talent. Universities are rapidly creating new analytics...
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April 2014

Technical Note on Calculating Many Distances for Analytics Projects

Sam Hillis Data Scientist
Distance matrices of different varieties have applications throughout the field of analytics; though the computation varies depending on the applic...
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Big Data Applied to the Supply Chain

Michael Watson Ph.D Partner
This week, Dan Gilmore of Supply Chain Digest wrote about Big Data in the Supply Chain.   It was a well-balanced article, covering both the hype an...
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Sample Custom Optimization Scheduling Problem

Prateek Rastogi Supply Chain Consultant
In manufacturing environment, companies use an automated setup of tanks and hoist for chemical cleaning and coating processes. In this setup, vario...
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Benefits of Map Portals for your Analytics Projects

Michael Watson Ph.D Partner
Earlier this week, I wrote an article for Supply Chain Digest about enhancing your network design capabilities with a map portal: Since the mapping...
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March 2014

Top Five Skills Needed For Supply Chain Modeler

Michael Watson Ph.D Partner
I recently wrote an article for Supply Chain Digest on the Top Five skills you need in a supply chain modeler.  They are: Ability to manipulate lar...
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Predictions that Save Big Money

Sara Lewis Solution Specialist
Why is it that your car always seems to breakdown during your busiest week at work? Farmers fear the inevitable failure of their combine equipment ...
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Spending your Analytics Time where it Counts

Sara Lewis Solution Specialist
Whether you are developing more complex optimization models or beginning to formulate solutions including technologies such as LogicNet Plus or R, ...
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Managers Need to Know Technical Details of Analytics

Michael Watson Ph.D Partner
Yesterday’s Wall Street Journal ran an article titled “Who Needs to Know How to Code” that suggested the many executives should l...
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February 2014

Lack of Analytics Skills May Be Holding Back Your Supply Chain

Michael Watson Ph.D Partner
Supply Chain Digest just released a very nice report on the current state of supply chain planning.  I wrote a follow-on article commenting on the ...
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January 2014

New White Paper on the Impact Inventory and the Number of Warehouses

Michael Watson Ph.D Partner
We recently had the privilege  to work with two Georgia Tech students (Chandreshekar Sundaresan and Seth Webster) on a white paper that explored th...
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New Book to Help Managers Understand Analytics

Michael Watson Ph.D Partner
We have recently published a new book to help managers understand the field of analytics.  This book will help you learn what the field of analytic...
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Heat Maps Track Customers in Store- A Chance to Apply Analytics To Make a Better Experience

Michael Watson Ph.D Partner
The Wall Street Journal recently reported the continued rise of heat maps to track customers in stores (“Tracking Technology Sheds Light on S...
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Using Data Science to Better Predict Demand: Case from Twitter and the Flu Season

Michael Watson Ph.D Partner
A recent Wall Street Journal article, “A Bonanza in Smarter Flu Tracking,” discusses tracking the outbreak of flu to better predict dem...
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October 2013

New Release of IBM ILOG LogicNet Plus XE

Michael Watson Ph.D Partner
On Oct 16th, IBM released a new version of LogicNet Plus XE.   This new version contains some nice enhancements to the tool.  These enhancements co...
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Comment on “Is Big Data an Economic Big Dud?”

Michael Watson Ph.D Partner
The New York Times recently wrote an article, “Is Big Data an Economic Big Dud?”  Here is part of the article questioning the value of ...
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Lora Cecere on the Role of Analytics in the Supply Chain

Michael Watson Ph.D Partner
Lora Cecere recently published an article in Data Informed, The Role of Analytics in the Race for the Supply Chain of the Future.  Here is a slice:...
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3 Factors To Determine Supplier Delivery Frequency

Michael Watson Ph.D Partner
Determining the best delivery frequency for suppliers into your facilities involves trading-off three key factors: First, you need to to consider t...
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Three Types of Buffers

Michael Watson Ph.D Partner
I recently wrote an article for Supply Chain Digest (Three Types of Supply Chain Buffers) that discussed that every supply chain has variability an...
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June 2013

Welcome to the Opex Blog

admin
Welcome to the blog for Opex Analytics. We’ll be using this blog to post general educational articles on analytics and Big Data– especi...
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