by Jennifer Hart Yim | Jun 18, 2015 | Blog, Logistics, Manufacturing & Distribution, Strategy, Supply Chain
This article is part of a series of articles written by MBA students and graduates from the University of New Hampshire Peter T. Paul College of Business and Economics.
Ben Minerd received his B.S. in Computer Engineering from the University of New Hampshire in 2011 and will be completing his MBA from UNH in May 2015. When not working as a systems engineer, Ben enjoys skiing, hiking, and flying drones.
Some of you technologically curious readers may be familiar with Moore’s Law which predicted that the number of transistors in a dense integrated circuit would double every two years. What all that nerd speak (as a nerd I can use that phrase) boils down to is that the processing capability of electronic chips is increasing at a crazy rate. Like, scary fast.
On the flip side, electronics are really cheap these days. Yes, the $10,000 Apple Watch might be a tad pricey, but I’m talking about the industry as a whole. You can buy a computer that fits in your pocket for $200 that is many hundreds, maybe thousands, of times more powerful than my first computer and I’m one of those whiny millennial youngsters.
How can consumer electronics companies afford to sell their scary fast devices this cheaply? One reason is that the devices are being made by other devices (cue ominous music), as automation and electronics manufacturing are natural complements of each other. But another big factor in the cheap tech equation is the ever-increasing separation of technology development from technology manufacturing.
Contract Manufacturing
Big name companies like Apple, Google, Microsoft, and Amazon are doing less and less of their own widget building these days in favor of contract manufacturing (or CM). Contract manufacturing is essentially the outsourcing of your products’ fabrication and assembly to some other company (who is hopefully better at it than you are).
In theory, using a contract manufacturer should lower your costs and give you access to capabilities that you wouldn’t have access to otherwise. This is especially true of small businesses looking to produce physical goods (versus intangibles like software), where the up-front cost of building your own factory is immense and maybe even a non-starter. Or maybe you’re a big tech company who isn’t good at making hardware (ahem, Google) and you want to stick to your core competencies.
Whatever your reason, contract manufacturing is the unicorn that will slash your costs with its rainbow laser beam eyes. Well, maybe not entirely.
Hidden Costs
To loosely paraphrase Pee-wee Herman, every decision we make in business has a big ‘but’. For the economist reader, you can equate this with TANSTAAFL—There Ain’t No Such Thing As A Free Lunch. One action almost always leads to some other potentially unexpected outcome. Certain people have even gone so far as to say this is always the case (some guy named Isaac Newton).
One of the biggest contributors to hidden costs within contract manufacturing is the loss of control over your production processes. While this might be obvious or even desired, there may be some complications as a result of this new relationship that you hadn’t thought of previously.
Communication is always an important topic, but even more so when it comes to contract manufacturing. Not only may your production team physically reside on the other side of the globe, but things like language, culture, and time zone differences can make it difficult to keep good lines of communication open.
Quickly ramping up or ramping down production to meet changing demand can become a lot more challenging, too. This is partly due to the nature of the shared resources that you are buying access to when you team up with a CM.
A classic example of a culmination of these issues came from Cicso in the early 2000’s, back when out-sourcing was in its infancy. Cisco had been riding the surging wave of growth in the telecommunications industry which starting leading to supplier shortages. Shortly thereafter, the bottom fell out of telecom and Cisco forgot to turn off the contract manufacturing tap. Before long, Cisco’s raw-parts inventory rose by more than 300% from Q3 to Q4 2000, leading to a $2.2 billion write-off of inventory. Wall Street responded as you might expect, causing Cisco’s stock to fall by 50%.
The Human Cost
Perhaps the greatest hidden cost is one that may never make it to your company’s balance sheet: exploitation of workers in the developing countries where many contract manufacturers do business. It’s no secret that the biggest driver behind outsourcing is low labor costs. While it’s not always apples-to-apples to compare a production worker’s wage in China to one in the U.S., by any measurement the difference is more than a factor of 10 (although that number is dropping).
This dirty little secret of the consumer electronics industry came to light in 2012 when it was discovered that Foxconn, the largest electronics CM with over $100 billion in revenue and manufacturer of the Apple iPad, was mistreating some of their workers. Conditions grew so bad that in some cases workers decided to jump to their death rather than survive in that environment.
Bottom Line
Contract manufacturing might very well still be the right choice for you, just keep in mind that you may have more “unknown unknowns” than you had, well, known about. The more you can discuss with your CM candidate up front, the better your relationship will likely be. Also, some of these “gotcha’s” can be planned for in the agreement between you and your CM, so don’t skimp on the up-front work. And remember, there is no unicorn with rainbow laser beam eyes. That I know of.
by Jennifer Hart Yim | May 12, 2015 | Big Data, Blog, Data/Analytics, Strategy
This article is part of a series of articles written by MBA students and graduates from the University of New Hampshire Peter T. Paul College of Business and Economics.
Josh Hutchins received his B.S. in Business Administration from the University of New Hampshire in 2005. He is currently pursuing his MBA at the Peter T. Paul School at the University of New Hampshire; on course to graduate in May 2016.
“Working with data is something I do every day as a financial analyst. I enjoy crunching the data and experimenting with various data analytic techniques. I’ve found that my love for playing with the data and thinking in unconventional ways has led me to be efficient and successful at work. The way data is being used is revolutionizing the way we do business. I’m glad I can be part of this wave of the future.”
The responsibility of big data
Data is coming into businesses at incredible speeds, in large quantities, and in all types of different formats. In a world full of big data it’s not just having the data – it’s what you do with it that matters. Big data analysis is becoming a very powerful tool used by companies of all sizes. Companies are analyzing and using the data in order to create sustainable business models and gain a competitive advantage over their competition. However, as one company would come to learn – with big data comes big responsibility.
Solid Gold Bomb T-Shirt Company
In 2011, Solid Gold Bomb, an Amazon Marketplace merchant based out of Australia, thought of an ingenious way to create fresh slogans for t-shirts. The main concept behind Solid Gold Bomb’s operation was that by utilizing a computer programming script, they could create clever t-shirt slogans that no one had thought of previously. The company created various t-shirt slogans that played off of the popular British WWII era phrase Keep Calm and Carry On. Under the systematic script method, Solid Gold Bombs was able to create literally millions of t-shirt offerings without the need to have them on hand in inventory. With the substantial increase in product offerings, the chances of customers stumbling upon a Solid Gold Bomb shirt increased dramatically. By utilizing this new on-demand approach to t-shirt printing, Solid Gold Bomb was able to reduce expenses, while simultaneously increasing potential revenue by offering exponential products at little additional marginal cost.
Use of ‘Big Data’
The computer script relied on the following to operate: a large pool of words, associated rule learning, and an algorithm.
Large Pool of Words – Solid Gold Bomb gathered a list of approximately 202,000 words that could be found in the dictionary. Of these words, they whittled it down to approximately 1,100 of the most popular words. Some of the words were too long to be included on a t-shirt, so the list was further culled. They settled on 700 different verbs and corresponding pronouns. These words would be used by the computer script to generate t-shirt slogans.
Associated rule learning – Associated rule learning is the degree to which two variables in a given list relate to each other. The first step in associated rule learning is to identify and isolate the most frequent variables. The second step is forming rules based on different constraints on the variables – assigning an “interestingness” factor. In the case of Solid Gold Bomb, the associated rule learning assigned an interestingness factor to verb-pronoun combinations.
Algorithm – The algorithm designed by Solid Gold Bomb was very simple. Each shirt would begin with “Keep calm and”. The algorithm script would then search through the word pool and pull back the most highly associated verb and pronoun combinations. The words would then be put into the typical format of the Keep Calm and Carry On. An image of each individual combination would be mocked up and posted to their Amazon merchant account. The process would continuously loop, creating millions of combinations.
The Big Data Blues
With one innocent mistake, Solid Gold Bomb fell apart in the blink of an eye. Amazon started getting complaints about offensive slogans on Solid Gold Bomb’s t-shirts. Images of t-shirts with phrases such as “Keep Calm and Rape Her” and “Keep Calm and Hit Her” were being sold on their Amazon merchant account. Their typical weekend orders for around 800 shirts were reduced to just 3 – few enough to count on one hand. Amazon ended up pulling their entire line of clothing, essentially putting Solid Gold Bomb out of business.
What went wrong?
While Solid Gold Bomb had a good handle on how to use data that they had gathered and how to use it to their advantage, they neglected to consider the potential hidden consequences of unintentional misuse of the data. When culling 202,000 words down to 700 useable words, words such as “rape” should have been eliminated from the useable word pool. From a high level perspective, the human mind is incapable of naming all the potential combinations of the 700 useable words without the assistance of a computer program. However, the end user needs to be aware that the computer program logic will create every potential combination based on the word pool.
Moral of the Story
Big data by itself is not beneficial to a company. The real value is in the analytics that are applied to the data. The results of the analytics can be utilized in numerous ways – to make more informed decisions, create new revenue streams, and create competitive advantages, to name a few. When a company makes the decision to utilize big data analytics, each process needs to be mapped out to have an intimate understanding of how the data will be used. In the case of Solid Gold Bomb, they failed to have this intimate understanding of how the data would be used throughout the process. As a result, they paid the ultimate price; they were not able to sustain themselves through this debacle. The morale of the story: With big data comes big responsibility. Know your data and know the potential uses of the data better. Don’t be afraid to think outside the box, but know the potential consequences.
For information about another big data faux pas, learn how Target predicted that a 16 year old girl was pregnant before her father knew.
by Jennifer Hart Yim | May 12, 2015 | Big Data, Blog, Data/Analytics, Strategy
This article is part of a series of articles written by MBA students and graduates from the University of New Hampshire Peter T. Paul College of Business and Economics.
Josh Hutchins received his B.S. in Business Administration from the University of New Hampshire in 2005. He is currently pursuing his MBA at the Peter T. Paul School at the University of New Hampshire; on course to graduate in May 2016.
“Working with data is something I do every day as a financial analyst. I enjoy crunching the data and experimenting with various data analytic techniques. I’ve found that my love for playing with the data and thinking in unconventional ways has led me to be efficient and successful at work. The way data is being used is revolutionizing the way we do business. I’m glad I can be part of this wave of the future.”
The responsibility of big data
Data is coming into businesses at incredible speeds, in large quantities, and in all types of different formats. In a world full of big data it’s not just having the data – it’s what you do with it that matters. Big data analysis is becoming a very powerful tool used by companies of all sizes. Companies are analyzing and using the data in order to create sustainable business models and gain a competitive advantage over their competition. However, as one company would come to learn – with big data comes big responsibility.
Solid Gold Bomb T-Shirt Company
In 2011, Solid Gold Bomb, an Amazon Marketplace merchant based out of Australia, thought of an ingenious way to create fresh slogans for t-shirts. The main concept behind Solid Gold Bomb’s operation was that by utilizing a computer programming script, they could create clever t-shirt slogans that no one had thought of previously. The company created various t-shirt slogans that played off of the popular British WWII era phrase Keep Calm and Carry On. Under the systematic script method, Solid Gold Bombs was able to create literally millions of t-shirt offerings without the need to have them on hand in inventory. With the substantial increase in product offerings, the chances of customers stumbling upon a Solid Gold Bomb shirt increased dramatically. By utilizing this new on-demand approach to t-shirt printing, Solid Gold Bomb was able to reduce expenses, while simultaneously increasing potential revenue by offering exponential products at little additional marginal cost.
Use of ‘Big Data’
The computer script relied on the following to operate: a large pool of words, associated rule learning, and an algorithm.
Large Pool of Words – Solid Gold Bomb gathered a list of approximately 202,000 words that could be found in the dictionary. Of these words, they whittled it down to approximately 1,100 of the most popular words. Some of the words were too long to be included on a t-shirt, so the list was further culled. They settled on 700 different verbs and corresponding pronouns. These words would be used by the computer script to generate t-shirt slogans.
Associated rule learning – Associated rule learning is the degree to which two variables in a given list relate to each other. The first step in associated rule learning is to identify and isolate the most frequent variables. The second step is forming rules based on different constraints on the variables – assigning an “interestingness” factor. In the case of Solid Gold Bomb, the associated rule learning assigned an interestingness factor to verb-pronoun combinations.
Algorithm – The algorithm designed by Solid Gold Bomb was very simple. Each shirt would begin with “Keep calm and”. The algorithm script would then search through the word pool and pull back the most highly associated verb and pronoun combinations. The words would then be put into the typical format of the Keep Calm and Carry On. An image of each individual combination would be mocked up and posted to their Amazon merchant account. The process would continuously loop, creating millions of combinations.
The Big Data Blues
With one innocent mistake, Solid Gold Bomb fell apart in the blink of an eye. Amazon started getting complaints about offensive slogans on Solid Gold Bomb’s t-shirts. Images of t-shirts with phrases such as “Keep Calm and Rape Her” and “Keep Calm and Hit Her” were being sold on their Amazon merchant account. Their typical weekend orders for around 800 shirts were reduced to just 3 – few enough to count on one hand. Amazon ended up pulling their entire line of clothing, essentially putting Solid Gold Bomb out of business.
What went wrong?
While Solid Gold Bomb had a good handle on how to use data that they had gathered and how to use it to their advantage, they neglected to consider the potential hidden consequences of unintentional misuse of the data. When culling 202,000 words down to 700 useable words, words such as “rape” should have been eliminated from the useable word pool. From a high level perspective, the human mind is incapable of naming all the potential combinations of the 700 useable words without the assistance of a computer program. However, the end user needs to be aware that the computer program logic will create every potential combination based on the word pool.
Moral of the Story
Big data by itself is not beneficial to a company. The real value is in the analytics that are applied to the data. The results of the analytics can be utilized in numerous ways – to make more informed decisions, create new revenue streams, and create competitive advantages, to name a few. When a company makes the decision to utilize big data analytics, each process needs to be mapped out to have an intimate understanding of how the data will be used. In the case of Solid Gold Bomb, they failed to have this intimate understanding of how the data would be used throughout the process. As a result, they paid the ultimate price; they were not able to sustain themselves through this debacle. The morale of the story: With big data comes big responsibility. Know your data and know the potential uses of the data better. Don’t be afraid to think outside the box, but know the potential consequences.
For information about another big data faux pas, learn how Target predicted that a 16 year old girl was pregnant before her father knew.
by Fronetics | May 21, 2014 | Blog, Talent
According to R.J. Bowman, author of The Secret Society of Supply Chain Management, demand for supply chain professionals exceeds supply by a ratio of six to one. Looking forward, it appears that demand for supply chain professionals will only increase. The U.S. Bureau of Labor Statistics estimates that demand for supply chain talent will increase by 26 percent between 2010 and 2020 – a growth rate that is twice as fast as 14 percent of all occupations.
In response to the demand for supply chain professionals, universities have introduced undergraduate majors, M.B.A. concentrations and even entire degree programs dedicated to procurement, inventory management and global supply-chain strategy. The Wall Street Journal has even gone so far as to declare supply chain management the “hot new MBA.”
The University of New Hampshire Peter T. Paul College of Business and Economics is one university which offers MBA courses focused on supply chain management. This semester Fronetics has had the opportunity to work with students in one of the school’s supply chain management courses. Students in the school’s Supply Chain Management MBA course learn how to design, plan, and operate supply chains for competitive advantage; develop an understanding of how the key drivers of supply chain operations can be used to improve performance; and develop knowledge of logistics and supply chain methodologies and the managerial context in which they are used.
Over the next several weeks Fronetics will share topical supply chain management articles written by several of the MBA students. The students are inclusive of full-time graduate students and professionals who attend the MBA program part-time. The articles point to the diversity of this group of students as well as the student’s breadth of knowledge on supply chain issues.
A full list of the students’ articles follows below:
