Supply chain planning

“I am sorry, we do not  have that item on our menu tonight.  The  truck did not show up….” I heard this statement twice this week while on vacation. Are you also hearing it?

I believe logistics matters.  In my opinion, it matters now more than ever.  The logistics community is insular, the ecosystem is fragile, and I believe that the health of the system is at a tipping point that requires a community effort. Here I share some thoughts….

Background

It is a topic that is interwoven through history.  Whether it was war, famine or disease, supply chain management drove improvements. The answer was more than guns, wheat and roses.  Logistics determined who won or lost a war.  Improved productivity eradicated famine. Triage, monitoring and continuous improvement programs improved health and wellness. It is a nameless thread through history.

The 1980’s, it got a name.  Better math combined with computing power shifted the term “logistics” from the “dark halls of the Pentagon” to be a recognized requirement for distribution-centric industries.  Manufacturing industries also took first steps on the road to becoming demand driven and the process training that was so prevalent in manufacturing environments drove improvements, not only in manufacturing, but across the supply chain. It became recognized as supply chain management.

Thirty years later, the processes and technologies are still evolving.  The growth and development of SCM was driven through vertical, often isolated, silos.   Logistics was one of the most isolated.  It was also one of the slowest to mature.  In fact, it moved so slowly, that I often find it useful to look back and see how far we have come.  I find that only by looking back, can I see that we are moving forward at all.  It helps me to gain a better perspective.

Over the past month, I had the chance reflect through three logistics experiences.  I attended SMC3’s conference in Idaho last week, the Association of Distribution Management in Orlando at the end of May, and tuned in to the Council of Supply Chain Management Professionals (CSCMP) 22nd Annual Report on Logistics (http://cscmp.org/memberonly/state.asp) last week.

Birds of a Feather Flock Together

When I open the doors, at a logistics conference, I feel sucked into an “Old boys Club”. The carrier community is close knit.  (There is a definite line of demarcation between a “shipper” and a “carrier.” In the “carrier world”, I am definitely an outsider.) The attendees are primarily male, have been in the trucking industry most of their lives; and like me, see the gray roots of their hair in the mirror in the mornings.  This characterizes the SMC3 audience.  (SMC3 is a logistics consortium that has branched out into content/pricing services for the carrier industry.)  The central themes of the conference were government regulation, rising energy prices and declining infrastructure.  Many in the room were from small businesses.  These impacts are hitting hard:  definitely below the belt.

I navigate easier in the “shipper world”.  I feel more affinity; because, for many years, I was a shipper.  At the Distribution Business Management Association conference, I reflected on what had changed over the past 15 years since I was a “shipper”.  Surprising, I found logistics taking-on new level of significance.  Like carriers, shippers were also talking about governmental regulation, rising energy prices and declining infrastructure, but they were interested in being part of the solution.  They were aware of the issues and their role in them and actively discussing how to redefine relationships to stabilize logistics.

The CSCMP report continues the tradition of reporting on industry health.  It is one of the barometers that I use to look at industry trends.

<A Word about Logistics>

When it comes to supply chain management, not all companies are equal.  The drivers and barriers are different by industry.  The degree of logistics excellence required is a gradient. It is the most important the process-based companies of chemicals and pharmaceuticals, in consumer-driven companies like apparel, food/beverage, consumer packaged goods and retail, and fast moving goods like high tech and electronics.  It is not as significant of a driver for industrial conglomerates or discrete manufacturers. This blog post is written to “speak” to the distribution-centric industries.

Birds of a Feather Flock Together:  But, should They?

While the community is tight knit and the themes are consistent, I feel that gravity of the situation is not well understood by the broader supply chain community.  I see three scenarios happening.

Will the Nightingale Sing?

The nightingale is one of the few birds that sings at night. In parallel, the area of logistics is becoming one of the major parts of the supply chain that is being forced to hum at night.  From the CSCMP report, “…volumes are about ½ of pre-recovery levels, but capacity especially in air and truck are almost fully engaged. The recession had a devastating impact on capacity.”  The report goes on to say that “16% of truckload capacity has been removed since 2006.”

Fewer assets, growing issues with infrastructure, and a shortage of drivers will force more logistics operations to what manufacturers fondly term the “third shift”.  I believe that it will definitely sing with the nightingale.

What does this mean for shippers?  Increasingly, shippers need to work on improving operations to “be easier to do business with…” This includes better staffing of the third shift, seven-day operations, ease of dock loading and effectiveness in drop yard management.  The early bird will definitely get the worm….

A Canary in the Coal Mine?

I grew up in West Virginia.  In a coal mine, methane is a silent killer.  No smell. Serious business. Before there were electronic sensors in the mines, the workers used canaries as sentinels.  When there were high levels of methane, it would kill the bird before affecting the health of the miners allowing the workers to escape.

I believe that logistics is supply chain’s canary in the coal mine. I believe that the current slowdown in logistics volume is an indicator of economic softening. 2010 was not what we hoped it would be. Volume was up slightly. Gas prices skyrocketed. We are close to a breaking point in capacity in truck and air. The industry has not recovered from the Great Recession.  I love the wording in the CSCMP report, “Volumes grew slowly and fitfully with truck tonnage rising 5.7% not even close to reversing the losses of the past two years.”

We have a slow down in industrial manufacturing.  The last four months of unemployment in the United States economy has been disappointing. We only have a ¼ off the jobs back from the beginning of the recession.  We are seeing a structural change in who we are hiring.

This canary is a sentinel for the supply chain.  It is time to focus on demand sensing to reduce demand latency and better orchestrate the demand signal.  Inventory configuration planning is paramount, and increasing capabilities to do better network design is growing in importance.  The key is better sensing and a more intelligent response.

A Do-Do Bird?

This bird is extinct. It is most talked about case of extinction driven by humans. The loss of ecosystem and the introduction of new species killed this species.  The health of logistics is dependent on ecosystem that is fragmented.  It is a village of government, shippers, carriers and logistics providers. Shippers need to be more active to be sure that we do not see the extinction of best in class processes.  The increasing governmental regulation needs to be on the lobbying agenda for the shippers as well as the carriers.  Likewise, the shortage of drivers may increase the need for private fleet.  As they say in wrestling, “logistics is on the mat in a stronghold.” We need to be careful that we don’t kill the good things that have been built into the system over the last thirty years.

For example, logistics needs to be viewed in aggregate– air, rail, barge, truckload, and less than truckload – with a focus on multi-mode and relationships. The ability to effectively work with carriers on multiple-mode capabilities with improved lane visibility can greatly improve the ability to get loads.

Go fast. No, go Slow. Be reliable?  Logistics variability has increased for multiple reasons.  The issues include road congestion, governmental regulations, slow steaming of ocean fleet, and the shortage of capacity.  The introduction of corporate sustainability scorecards for efficiency, the increase in compliance fees and the tightening of definition for the perfect order is putting a stronghold on logistics.  While each may seem OK in isolation, it is the combination that worries me.  We need to look holistically at how we move freight (modes) and how we manage freight (scorecards, penalties, expectations) to be sure that we are not killing the ecosystem (especially as we enter the back-to-school and the holiday shopping periods).

Birds of a Feather can Flock Together, but we need to Protect the Flock

In short, US logistics costs for 2010 were on par with the costs for 2005, but we have some issues. The US economy is uncertain, and the logistics ecosystem is fragile.  While birds of a feather may gather at logistics events and carefully detail the issues, they gravity of the issues are not well-recognized by the greater supply chain community.  Each of these three scenarios are today’s reality.

What are your thoughts?  Do you agree that it is fragile?  Got any insights for the greater community to share?

User in the Era: Big Data Supply Chains

by Lora Cecere on June 1, 2011 · 6 comments

The time is near.  The time has come.

As I return from my trip last week, I give thanks, that it is not the end of the world that we need to prepare for….  Yes, thankfully, as the Rapture witching hour approached last week, I was holding my grandson in my arms with a glass of wine and having a great discussion with my daughter.  (This is something that I hope never ends….)  With false predictions behind us, and I wing my way back from San Diego, I am thinking about the world of Big Data Supply Chains.  I think that it is time for us, as supply chain leaders, to prepare for a new era:  the big data supply chain.  Here I share the what, the so what and the now what with a focus on why you should care.

What is Big Data?

The concept is simple.  The answer is complex.

Big data is a term used to describe data sets that grow so large, and so fast that conventional reporting and analytics are insufficient.  Can you feel it?  It is coming at us like a Tsunami.  It takes different forms, but what is common is the new world of big data. Let’s examine some trends:

1) You see it in new tagging systems for safe and secure supply chains.

2) It is ever-present in demand sensing and the design of listening posts from social networks.  These technologies us the ante on the use of unstructured text and building supply chain systems that can sense just not respond.  It is one that starts from the outside-in to define the enterprise response.

3) It takes the form of mobile devices that are redefining the workplace. Mobile data has grown 8 fold in five years.

4) It is a new world of convergence of visualization, geolocation, and digital media.

5) Partner data is growing exponentially.  What we once thought was just a simple downstream data repository is now being used as the data translator and harmonizer at both ends of the supply chain. It is redefining the world of business-to-business relationships.  Trading partners are starting to share daily data daily.

This is far different than the world of five years ago when data was shared less often; and when it was, it was usually monthly data monthly or weekly data weekly. Each relationship in the global supply chain has unique requirements for revenue management, contract compliance, shipping documentation, and licensing. As we enter the world, where data is more available from trading partners, we can navigate across the supply chain into customer’s customers and supplier’s suppliers.

In this world of big data, relational databases and desktop applications – spreadsheets, statistical packages and reporting—are insufficient. Instead, it requires the use of parallel software running on tens, hundreds or even thousands of servers.  It is the world of terabytes, exabytes and zettabytes of data.

What is a Big Data Supply Chain?  Value Network?

Bear with me.  I am an old gal.  I remember the early discussions with my boss on what we could do with our supply chain when we rolled the IBM 360, down the halls of the manufacturing plant were I was the Plant Engineering Manager.  The machine was huge, but it allowed us to have localized computer capabilities that were upward compatible to future models.  A local computer and a specialized team for reporting drove step-change improvements for our organization.  We could see trends and drive continuous improvement programs that we previously only talked about.
Today’s era of big data supply chains is an even bigger step change opportunity, but to take advantage of the opportunity, we must re-wire our thoughts to see new possibilities.  It is not just about supply, it is about making tradeoffs to improve value.  It is not just about linear relationships or a chain reaction, it is about sensing networks.  It is not just about right product, right place, at the right time.  Instead, it is about the redesign of value networks that use information to reduce latency, streamline cash flow and drive profitability.

Today’s supply chain systems are not designed for the world of big data. It is coming.  The data will be colossal.  The use of data in the supply chain will differentiate.  Have I convinced you that we are facing a new world?  One that ups the ante to sense and respond?  If so, read more…..

My Magic Ball

I was a Gartner analyst for many years. In fact, if I had not jumped ship with the AMR Research purchase of AMR Research, I would be a Gartner analyst today.  So, using my past training, I share my predictions for the supply chain of big data:

#1 A One Vendor World is not the Answer. The big data supply chain will not be a one vendor world (.9 probability). Yes, I know that it was the promise.  I was also told that there was a Santa
Claus.  Supply chain leaders need to grow up.  Gaining competitive advantage from the big data supply chain will not be a “one throat to choke” scenario.  You cannot afford to tie your apron strings to the innovation of ERP vendors.  If you do, you will move too slowly.

However, I find the evolution of the SAP HANA platform interesting.  I think that it will redefine supply chain execution capabilities.  If nothing changes, SAP will outflank Oracle in defining supply chain capabilities.  We have defined supply chain execution too narrowly.  It is more than order to cash.  There are new opportunities in S&OP execution, demand and supply visibility and demand orchestration.  I am also excited by the focus and energy of Manhattan and Red Prairie to tackle this opportunity more holistic.

#2.  Line of Business (LOB) Meet Data. In companies where the line of business leader steps up to own the big data supply chain, there will be a 3X increase in the ROI of IT investments (.8 probability). I have done research studies over the past five years on IT investments of BI in the supply chain.  One factor is clear to me.  When projects are owned by the Line of Business Leaders, and those LOBs are knowledgeable and capable team players, there is a dramatic difference in the impact and ROI on the project. In the face of the great recession, companies that were better at demand sensing changed their supply chains five times faster.  The issue is finding leaders that are both knowledgeable and capable.

#3.  Not a Project. It cannot be solved one project at a time. Companies that approach this evolution as a program, not a project will increase speed to value by 70%. As I study the evolution of Business Intelligence (BI) in supply chain, it is clear to me.  Project-based evolution absent a program and a strategy is problematic.  Companies that have multiple projects that do not build on a consistent data model, with clear data governance, and definition of the meta-data structures, have built a bridge to nowhere.  Most supply chain leaders, as a consequence, are what were described in the 1960’s song, “I am a real nowhere man.”

#4. We must part with Tradition. It will require taking a leap of faith.   It is not the case of something new, something borrowed, and something blue.  It will require a RETHINKING of supply chains to abstract the supply chain into sensing attributes that can sense market changes quickly, easily translate these changes into the world of supply and transmit them in a meaningful way to the supplier. The design is outside-in, not inside out.  It is not longer the world of the language of SKU (item at a location.) This language gets co-opted by the language of attributes. We will have to remap supply chains, rebuild demand and supply hierarchies, and redefine BI –portals, scorecards, dashboards, and predictive analytics—to think in the world of attributes. (What do I mean by attributes?  The company that I was visiting on Friday asked me the same thing. And, then they started to talk about their new world where they have defined customers and suppliers by four attributes:  capabilities, size and importance, power position, and cultural alignment.  Each of their trading partners has been defined on a continuum on these four dimensions.  So, I said, “Now let’s define your supply chain systems to use the data.”  They nodded in agreement. They got it.)

Think about it.  How does this type of prioritization change how you manage demand shaping programs, contracts, available to promise, order management, new product launch programs, assortment and special programs, allocation, network design, etc.  My client got the message.  It is no longer about a blind SKU moving on a blind order to a customer without any definition.  Just as the body has multiple senses, the supply chain will evolve with multiple sensing mechanisms based on attributes.  This evolution will make current Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) and Advanced Planning Solutions (APS) solutions obsolete over the next five years (.9 probability). Because current analyst models are funded by these late stage technology solutions, you will find little from analysts on the rise of big data supply chains.  The reason? The shift is discontinuous.

#5 MDM will not take us to the Pearly Gates. As companies enter into the world of big data, Master Data Management (MDM) concepts that we know– and never loved– will fall by the wayside.  They will be scrapped.  New technologies will evolve to better handle MDM.  There are three technologies that I am watching closely that I think offer promise, both singularly, and together.

  • Search Engine Optimization(SEO) : Endeca is using their SEO tools to improve flexibility in parts management in the automotive industry.  The use of tagging and attributes improves flexibility.
  • Artificial Intelligence:  Enterra Solutions redefinition of security data for the Iraq war was applied successfully to Conair and Newell Rubbermaid supply chains in 2011 to sense supply issues and redefine the response.
  • Intelligent Workflow for Governance:  Kalido has introduced intelligent governance workflow for line of business users.

Within five years, the landscape of master data solutions will be redefined (.9 probability).

So, what do you do?

  1. Stabilize.Take a look at your product portfolio and stabilize traditional approaches, especially ERP projects. Focus on the use of ERP for seamless movement of transactions. Throw away the enterprise application lexicon that you have learned and get ready for a new world.
  2. Define. Map the supply chain from the outside-in focused on how customer attributes translate to service and product attributes.  Think about how and why you sense and what a decrease in information latency can mean for your supply chain.
  3. Build.Focus on building an inter-enterprise data model.  Focus on the ends of the supply chain….  Realize that there was never “R”– or relationship– in CRM or SRM applications. Think about what you could accomplish through the building of business-to-business relationships through a combination of social, sensing/listening technologies and predictive analytics to transform B2B.
  4. Will require a Team.  Invest in a BI team of excellence to look at how companies can drive insights from data. Staff it cross-functionally, but align the reporting relationships to a line-of-business thought leader that has cross-functional responsibilities.  Experiment with new master data management systems.  Develop a holistic BI strategy for your value networks.
  5. Get good at data.  Train teams on the evolving world of business intelligence and the use of trading partner data in data-driven decisions.  Reward innovation through the use of predictive analytics.  Focus on data reuse, meta-data definitions, and data enrichment strategies.  Overlay the BI team of excellence on top of sales and supplier relationships to build data-driven sensing to drive supply chain requirements.

What do you think?

Have you thought about big data supply chains?  Data for value networks?  Let me know your thoughts.

For additional articles on supply chain business intelligence
topics, reference these blog posts:

Ring in the New Year: http://www.supplychainshaman.com/altimeter-group/ring-in-the-new-year/

Three Things that I have Learned about Downstream Data: http://www.supplychainshaman.com/downstreamdata/three-things-i-have-learned-about-using-downstream-data/

A Leap of Faith?  http://www.supplychainshaman.com/demanddriven/a-leap-of-faith/

http://www.supplychainshaman.com/demanddriven/start-a-new-conversation-free-the-data-to-answer-the-questions-that-you-dont-know-to-ask/

http://www.supplychainshaman.com/new-technologies/is-this-the-future-of-downstream-data/

http://www.supplychainshaman.com/supply-chain-excellence/crossing-the-great-divide/