Seeing more supply chain writers commenting on how JIT and Lean don’t coexist well in a world where supply chains are growing increasingly longer geographically, and they do a better job than I did 2 years when I wrote that Cycle time is undervalued in offshore manufacturing decisions. I started noticing this a couple weeks ago I noted more commentary on total cost of ownership in outsourced manufacturing.

In the last week or so, a couple more articles popped up thanks to the magic elves in the Twitter Box.

From DemandCaster: Whatever happened to JIT?

…The dominant term was JIT. But, JIT and Lean were bandied about interchangeably. There was no different save for the marketing spin of one author or consulting firm over another. But that has changed. The change resulted because the manufacturing base moved, mostly, to Asia. This was contrary to the principle of reducing lead times so central to JIT. The lead time for goods from Asia dramatically increased to four, five, six, or more weeks. Just-in-Time simply did not fit.No matter what the lead times, one could be “lean” by taking the slack out of the lead times. But as the overall lead times increased so much that planning was once again based on forecasts.

Not to mention the additional inventory in the supply chain pipeline thanks to the longer lead times.

From @chrischip: Just in Time Just Isn’t

…But don’t pull your hair out over inventory. Your customers won’t wait for you to ramp up to fulfill their order, and your forecast won’t save you because it isn’t correct. The answer is a buffer. What I hear time and time again is that the cost of a buffer is well worth eating when you can promise delivery from stock. Without that assurance, you may well lose the order, and that’s a heavier price to pay in terms of dollars and reputation.

Buffers are consistent with, and I would argue REQUIRED, to lower inventory investment. Several weeks ago I revealed my personal view with regard to maximizing inventory turnover:

The secret: The fastest way to reduce  on-hand inventory balances is to ship it.

Many supply chain professionals are penny-wise and pound-foolish: They focus on reducing inventory investment by slowing the delivery of component inventory and insist on sticking to corporate strategies, goals, and metrics with regard to ordering and stocking policies. This is the domain of ivory tower academics and corporate theorists. I in a Manufacturing Plant, where we Build Things Customers Pay For.

It is far better to grasp the universe as it really is than to persist in delusion, however satisfying and reassuring.
~ Carl Sagan

If the sales exist to consume the finished goods, the proper strategy is to ensure 100% order fulfillment. Unless your forecast is perfect (it’s not), your inventory accuracy is 100% (it’s not), your suppliers deliver exactly what you need exactly when you need it with no quality rejects (they don’t), your machines have 100% up-time (they don’t), and you have 100% yield (you don’t), then you have to be honest with yourself as a material planning professional and do the right thing: Buffer.

Better never than late.
~ George Bernard Shaw

That doesn’t mean you start writing blank checks, however. At the risk of sounding arrogant (too late, I know! ;-) ), this is the domain of Smart People. Data-oriented decision-making. Bounded risk. Iterative modeling. Yeah, I can spew the buzzwords with the best corporate policy wonk. If you don’t have robust simulation tools, buy them. If you can’t buy them, build them. They won’t be perfect starting out. Probably won’t be right, either. But the second iteration will be better than the first. You’ll do it faster, too. Same with the third, fourth, fifth, sixth… Models will never be perfect, but like a good spouse they get better with age.

When strategies, tactics, and actions are set, execute in the real world using proven, time-tested material management techniques.

How?

Use inventory stratification and manage by exception. Remember ABCs? Remember Exception Reports? Classical stuff. Material Planning 101. APICS Basics of Supply Chain Management.

I don’t worry about C-items. Period. I want tons of C-items. If I go line-down because a penny-part wasn’t in stock, that’s not the cost of doing business – that’s a DISASTER: Shipments are missed, Revenue goals aren’t met, and all of the on-hand inventory associated with the assemblies that now can’t be built will just sit on your books, festering. I watch B-items to the extent that I don’t buy excess but I try to buffer with time; instead of coming in just-in-time, I try to pick up extra days/weeks whenever I can. Finally, I focus completely on A-items. I have a number of homegrown tools I developed to track the supply/demand of A-items over time and any volatility is ruthlessly drilled to root cause and strategies developed to balance the supply with the demand.

Better three hours too soon than a minute too late.
~ William Shakespeare

Most importantly, I am disciplined about reviewing data versus plan and taking action with a sense of urgency. You can’t set up your plans and walk away expecting your great plan will be executed flawlessly. You have to constantly check, double-check, triple-check. Plan and re-plan. This is where Exception Reports are worth their weight in gold. In most companies where bills-of-material are complex and just plain LONG, it’s impossible to do a top-down or bottom-up material analysis on any kind of cycle that permits rapid decision-making. Exception reports separate the wheat from the chaff. By definition, the A-items consistent of ~80-90% of your inventory investment dollars. Planning and re-planning ~5-10% of your components offers an increased likelihood of successfully managing 80% of the dollars, rather than attempting to manage 100% of the component investment with no likelihood of success.

A good plan violently executed now is better than a perfect plan executed next week.
~ George S. Patton

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Eric Miscoll wrote about how the analysis of Total Cost of Ownership of outsourced electronics manufacturing has changed in recent years at EMSNow: EMSNow – Is the Migration of Electronics Manufacturing to Asia Slowing?

In a proper Total Cost of Ownership analysis, direct labor rates are one of many issues considered, and the cost improvement it can offer can be quickly eliminated when considering other important issues like transportation, support, and inventory costs.

More than 2 years ago (pre-my current job), I wrote something similar while arguing that the impact of cycle time in offshore manufacturing is undervalued:

Unless enlighted managers “dollar-ize” the effect of the integrated cycle time – and there are hard- and soft-dollar impacts associated with going from one week to four weeks, or one month to three months – manufacturing will continue to be performed where wages are lowest. It is the challenge of the regional contract manufacturer to educate and inform the customer, and develop financial models to highlight the true bottom-line impact of offshore manufacturing. Global contract manufacturers provide geographic migration plans as a standard piece of their proposals. Regional contract manufacturers must not be afraid to aggressively present these models and make the case for domestic manufacturing.

Lest anyone think I have an opinion one way or the other and that my represents the opinion of my employer (and, allow me to say right now, NOTHING I write here represents the opinion or policy of my employer! ;-) ), I will say that I am in agreement with Miscoll’s final paragraph:

CBA’s recommendation has been and continues to be that no two engagements are alike, and lemming-like behavior in search of ‘low cost labor’ can lead to expensive mistakes in outsourcing. OEMs should consider a proper ‘FIT’ – flexibility, integration, and timing – when designing a supply solution for their electronic products.

Finally, be sure to read the feedback I received from my father, a retired EMS CEO: Good piece, as far as it goes.

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While I do quite a bit of data analysis and manipulation in using pivot tables, logical functions, lookup functions, and statistical functions, I haven’t spent much time learning Reference Functions in .

Given that my day job is centered around production schedules and materials requirements planning (MRP), I wanted to try to create a simple MRP model that utilized reference functions. The new function for me is the OFFSET function. After using it I can certainly recommend it, although if anyone knows a better way to accomplish the same thing in a more elegant fashion please leave a comment below and I’ll give it a shot in the next iteration. No matter how much I already know, I’m always trying to improve my skills.

I am assuming you have an idea how MRP works in materials management or you wouldn’t have read this far, but if you need a tutorial Wikipedia is a decent place to start. In simplest terms, it is the recipe for building a product; it calculates how many components it takes to build a quantity of end-items, and when the components need to be ordered.

Download the Single-Level MRP Model (75)

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Excel functions I use daily

  • VLOOKUP
  • IF
  • ISERROR
  • CONCATENATE
  • YEAR
  • MONTH
  • WEEKNUM

My favorite function mashup is to combine IF, ISERROR, and VLOOKUP to return either a value from another table, or 0 (or blank, if you prefer). Here’s how to do it:

=IF(ISERROR(VLOOKUP([Std vlookup formula])),0,(VLOOKUP([Std vlookup formula])))

Here’s the logic: If the Vlookup returns an error (i.e., the value of the referenced cell does not exist in the lookup range), then return a value of Zero, else return the value found in the lookup range.

Why? It gets rid of those nasty “#N/A” errors.

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Just taking a break from the drama surrounding my new program to report that I was informed my old program hit 12 inventory turns before I left. Combined with 100% on time delivery and excess & obsolete  below 0.5% of material cost of goods sold, I’m going out on a limb and claiming it as a textbook performance.

Which is funny because oftentimes when management makes a push to improve metrics there are always a cadre of homegrown materials people armed with excuses why the textbook approach won’t in the real world.

The secret: The fastest way to reduce inventory on-hand balances is to ship it.

maximize inventory turns
With regard to production scheduling, it is critical to know capacity and lead time. Many companies simply schedule to maximize revenue or achieve the customer’s need date regardless of what it means for operational excellence. Knowing capacity means you can assess and manage risk when outside forces require production schedules in excess of capacity. Contingency plans can be made to increase capacity and buy material inside lead time. With regard to our schedule, we were several months late starting due to redesigns from our customer. This required our manufacturing and test engineers to get creative and solve some capacity issues.

As far as material availability, I managed my “A” items tightly – super-tight. But I didn’t worry about the “B” and “C” items beyond ensuring I had enough on hand to build the schedule. That’s the whole point of inventory stratification: focus where the dollars lie. After that, it’s all about execution from the team: purchasing managing the supplier deliveries, and production control getting the material to manufacturing with enough lead time to build and ship quality product. In a prior post I stated:

As a Master Scheduler, I control much of the front-end of the manufacturing process – any variation on my part bullwhips through the organization. Variation isn’t something that can be avoided, however, but as a professional I need to be diligent about controlling those factors under my control… I track demands over time, supply exceptions over time, excess/obsolete over time… well, you notice “over time” is the critical factor. After each MRP run (we run weekly), I export all of my data and review several critical factors: has my backlog changed, is my planned order report correct, has my excess/obsolete moved unexpectedly in either direction, and has the exception report changed positively or negatively. There are many other items I track, but I start with these and use them to uncover issues and troubleshoot them prior to someone else asking me that dreaded question, “What happened?

So, by focusing on demand stability and material availability over time in a structured and disciplined manner, I did my part as Master Scheduler to maximize inventory turnover. When a team maximizes the inventory going out the front door, good things happen.

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I know I said I would “live-blog” the process I go through when taking responsibility for materials management on a program, but I took a detour that will wind up being incredibly valuable. Someday.

Among my career experiences I was fortunate to in marketing for a period of time when a new VP was hired to bring organizational leadership to the business development process. The first thing he did was hunker down in his office with several members of his staff, dissecting the business development status of the company. After a couple weeks he emerged from his office to give a presentation to the staff, explaining that the first thing he does when he takes on new responsibilities is to put the challenge into perspective.

As I mentioned, this is a mature program with significant challenges. Taking my cue from this former manager, I pulled my usual post-MRP-run reports: Backlog, Planned Orders, Open Orders, On-Hand Inventory. I normally lay the data out in and do the math: how many units have to be built, how many units are on-hand, how many units are being built in the open orders, and how many units remain to be built. Simply put, the way production scheduling and MRP is: (more…)

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I’ve already given an overview of the process I go through when doing material planning for a new product. This was based on successfully launching multiple new programs simultaneously, and I absolutely loved being involved at the early stage of a program or product. Being there in the beginning, a master scheduler or production planner has the opportunity to influence the way bills of material are configured, demand is loaded, and planning factors are set.

In contrast to this is planning for a mature product or program. I am taking over a mature program with a family of very complex assemblies on Monday, and this weekend will be spent preparing. Except for when I’ll be watching the Florida-Georgia game. I do have my priorities, after all.

I plan to “live-blog” the process as much as I can without giving away any proprietary information. To set the groundwork, the program is very important to my company’s current and future business and is generally considered a cash-cow. It is not without challenges however; inside lead-time demands, material shortages, and the sub-optimal impacts these have on inventory, operations, and profitability.

Step one in this effort: (more…)

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JTAG board 1I’m not giving away any secrets in this post. Material Planning professionals all know that the key to on-time delivery performance is to extend supply chain visibility as far as possible. This is the key to Sales & Operations Planning, but if your company does not have a robust S&OP process, you can still close this loop by inserting yourself and the planning organization in the sales pursuit.

I’ve been involved early in the sales pursuit process several times, as well as had products/programs “thrown over the transom” as they say. I have a simple process I follow to manage the material planning function on those programs where I’ve been involved early. I follow the same process on those “over the transom” programs to place the challenge into perspective for management and the program team so recovery decisions can be made as appropriate. Here it is in a simplified flow chart: (more…)

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dandoodlescan065-inventory is wasteIn it’s entry on Safety Stock, Wikipedia states that some of the more common reasons for safety stock include:

# Supplier may deliver their product late or not at all
# The warehouse may be on strike
# A number of items at the warehouse may be of poor quality and replacements are still on order
# A competitor may be sold out on a product, which is increasing the demand for your products
# Random demand (in reality, random events occur)
# Machinery Breakdown
# Unexpected increase in demand

There are many reasons and methods for calculating safety stock, (more…)

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hangar steak
The following is a re-post originally written by me for another blog. I am in the process of streamlining my portfolio and moving the greatest posts to this site. Hope you enjoy.

Everyone has a secret way of timing the grilling of a steak to perfectly pink medium. Some use a timer, or a meat thermometer, or can tell by pressing on the steak with a thumb and feeling the resistance.

I have a different way, one that involves a ritual appreciated by every man and woman I’ve allowed to witness.

Years ago, I found that the time it takes to grill a steak to a perfect medium equals the time it takes me to drink an ice-cold beer.

“But, what about the thickness of the cut?”

I drink faster or slower, as thickness dictates.

“What about temperature variations?”

What variations? Pre-heat the gas grill on high, place the meat on the grill, drop the temp to low, and take a sip. When you get halfway through the bottle, flip the steak.

Is this science? Is it art?

I have no idea. But I sure like grilling, and my steak comes off the grill perfect every time.

Creative Commons License photo credit: stu_spivack

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