Tag Archives: Supply Chain

How Real a Problem is Supply Chain Risk?

by Matthew Liotine, PHD

Operations Management and Planning Expert

 Professor at University of Illinois

 Amick Brown Strategic Advisor

Risk is a pervasive force in business, and consequently, in the supply chain operations that are necessary to support business. Supply chains will always be exposed to some level of risk, and thus firms must have the ability to manage and live with continuous risk. Despite the plethora of adverse events that have occurred around the world in the past ten years, the nature of supply chain risk has not really changed. Such risk can be very complex in nature, but invariably, most risk is linked to the possibility of some level of disruption in the supply chain. A disruption is created when some kind of interruption occurs and ends when operations are restored as they were prior to the disruption. Depending on the type of disruption, effects can be usually interpreted in many ways such as time, cost, unserved demand, financial and reputational damages.

Supply chain disruptions indicate that there is a problem and that existing plans and operations require some kind of improvement. To specify any kind of improvement, a firm must understand the root causes of disruption and develop measures to reduce either the likelihood of the disruption or its impact. In this article, we will explore the extent of the problem of risk in today’s supply chain. This article is the first of a series of articles in supply chain risk – in future articles we will explore the definition and sources of risk in the supply chain, the current best practices that deal with this problem, the process of analyzing risk in the supply chain, and forward looking approaches on identifying and controlling such risk.

supply chain icons

How big is the problem?

The supply chain risk problem is widespread.

  • More than 80% of companies are now concerned about supply chain resilience (World Economic Forum 2013).
  • 76% of companies surveyed had experienced a supply chain incident that caused disruption to their organization (The Business Continuity Institute 2014).
  • In 23% of the organizations, the cost of a disruption was more than $1.4 million
  •  80% of the respondents reported at least one supply chain disruption in a single year, while 42% experienced 1 to 5 disruptions per year (Alacantra 2015).
  • 52% of organizations reported having at least 21 key suppliers and 50% of the disruptions involved a supplier below Tier 1.
  • 75% of the firms studied do not have full supply chain visibility and 34% did not even record supply chain disruptions in 2014.
  • 32% of the firms showed little or no commitment towards improving supply chain resilience and 53% did not even validate supplier assurance.
  • 72% of participants did not even bother to assess supply chain vulnerabilities (IBM 2012).

The reason for this kind of neglect is rooted in the traditional clash between profitability and the costs of preparedness. In one study, 47% of procurement decision makers identified the most important key process indicators (KPIs) as being all cost related, with realized cost savings as the most important  (Xchanging 2015). The respondents also reported that preparedness and resiliency to manage risks and disruption can constitute about 20% of costs. In general, most firms will try to manage risk from two distinct perspectives, using either strategic risk management or more tactical, field level practices, or both. Larger companies with greater revenues are more sensitive to risk and liability, and invest in more sophisticated enterprise-wide risk governance programs to manage risk from a strategic perspective. Some of the available approaches used for strategic risk management include using an executive level risk board to govern enterprise risk, a shared risk registry or online database, a real time dashboard or control mechanism, or a supply chain risk management plan (University of Maryland 2010). While about half of major firms employ these approaches, less than 20% of smaller companies use them. Studies have shown that only 50% of companies have written business continuity plans and only 41% have a recovery plan to rebound after a major disaster (Travelers May 2015).

Where are the deficiencies?

A key deficiency highlighted in the aforementioned studies was a lack of collaboration between firms and key suppliers (University of Maryland 2010). Nearly half of the companies surveyed did not use any collaborative platforms and less than a third did not joint monitor disruptions. In fact, the study showed that firms tend to collaborate more with their customers than suppliers in regards to monitoring and reporting disruptions. While part of the problem are time and costs, as alluded to earlier, enterprise risk management also involves risk identification and quantification, which requires the use of empirical data. It is evident that many firms will favor information sharing with customers versus suppliers. Enterprise Resource Planning (ERP) Systems can provide a foundation for obtaining operational data that can be utilized to gauge supplier risk. However, even with such data, the ability to utilize it for the purposes of strategic risk management is lacking. There has been much research into the nature of supply chain risk, but little in evaluating strategic risk in complex supply chains, since supply chains have grown increasingly complex and dynamic due to product variety and complexity, technology, e-business, globalized outsourcing, among other factors. Altogether, there is still a need for methodologies and tools to aid firms in evaluating and managing strategic supply chain risk.

supply chain light bulb

Conclusions

It has been established that concerns about supply chain risk not only still persist, but are ever growing due to the changing nature of supply chains. Several industry studies have made the following evident:

  • Supply chain risk is a major concern for most companies, large and small;
  • Most companies experience one or a few supply chain disruptions annually, each with a significant loss;
  • Many disruptions involve key suppliers or those below Tier 1;
  • Many firms still lack commitment to controlling supply chain risk for the reasons of the costs and complexity involved;
  • Larger firms will manage risk more strategically using a combination of executive governance and/or data driven approaches;
  • While operational data is increasingly becoming available, there is yet much work to be done in leveraging such data for strategic risk management.

In the next article, we will discover what supply chain risk really means, and the leading threats giving rise to supply chain vulnerability.

Please Join the Discussion by Replying Below

Bibliography

Alacantra, Patrick. Supply Chain Trends: Past, Present and Future. The Business Continuity Institute, 2015.

IBM. IBM Index Reveals Key Indicators of Business Continuity Exposure and Maturity. IBM Global Technology Services, 2012.

The Business Continuity Institute. Supply Chain Resilience 2014 – 6th Annual Survey. The Business Continuity Institute, 2014.

Travelers. Travelers 2015 Business Risk Index: Findings from a Survey of U.S. Business Risk Decision Makers. Travelers Insurance, May 2015.

University of Maryland. Assessing SCRM Capabilities and Perspectives of the IT Vendor Community: Toward a Cyber Supply Chain Code of Practice. University of Maryland, Robert H. Smith School of Business, 2010.

World Economic Forum. Buidling Resilience in Supply Chains. World Economic Forum, 2013.

Xchanging. Xchanging 2015 Global Procurment Study. Xchanging, Inc., 2015.

 

The Overwhelming Power of Analytics in Retailing and B2C: Part One

Women With Shopping Bags --- Image by © Tim Pannell/Corbis
Women With Shopping Bags — Image by © Tim Pannell/Corbis

Thank you to Iver van de Zand, SAP

Online grocery shopping and personalized bonus cards – we all face these incentives every day. Each is strongly driven by the overwhelming power of the analytics that are behind them. This article will share my experiences on these topics providing examples of retailing and B2C customer journeys that I have been a part of. The below examples are not at all exhaustive; they are also not about the future but are what happens, and are in production, today!

One thing that makes the retail market segment so interesting is the extreme sensitivity to community influences. A small thing might happen in society that can immediately affect buying behavior: today people are connected everywhere and at any moment. A simple anecdote on social media is shared so quickly that it can influence consumer choices instantly. One simple bad review about, for example, a yogurt brand, can raise or lower the selling of this product the next day. If the retailer wants to act upon these influences, he needs state of art Insights and online operational analytics.

Retailers are Analyzing You

Your bonus card, combined with your social media credentials, tell the retailer a whole lot more about you than you might realize. Analytics, clustering, and predictive modeling inform the retailer about your family composition, your eating and clothing preferences, how many children and pets you probably have and even what kind of holidays you like. By smartly combining your information with reference groups, the amount of trustworthy information a retailer can predict is huge.

Now imagine that the retailer recognizes you based on your cellphone signal when you enter the store. This information is linked online to your bonus card and social media credentials: “the retailer knows exactly who is in the store”. Then based on the same cellphone signal, the retailer can follow (!) you through the store using GEO coordinates. It means the retailer knows you are in front of the vegetable section, and also knows – based on the bonus card info – that you like carrots a lot. The electronic banner automatically flips and messages about a special offer on “carrots that taste very good with a new white wine that you might want to try”. A message targeted at you.

Imagine?? Well, forget about “imagine” – this is done today and you are part of it.

Supply Chain Challenges

Imagine this scenario. The latest game controllers are very popular, so our retailer decides to order additional stock from one of his vendors. Using buying behavior and predictive algorithms, the retailer knows he will sell the controllers. Early in the morning the stock manager receives a message that the vendor’s truck driver is stuck at the border and will be very late. Order intake quickly searches for alternative vendors and places an online order. That order will influence consumer prices and using business analytics the retailer can immediately predict the effect this price change will have on today’s revenue. It also automatically adjusts the retailer’s forecast and rolling plan, even from its subsidiaries if they exist. Using basket analyses, the new type of game controller might be influential to the selling of USB cables too so the retailer decides to order additional USB sticks and the system automatically adjusts distributed forecasts and rolling planning. Imagine? Not at all!

Product OffersMan holding gift bags --- Image by © Ocean/Corbis

Apart from understanding the buying behavior of a customer (using bonus cards and others), retailers spend a huge amount of effort in understanding where the demand will be. Trend forecast algorithms combine social media posts, web browsing behavior, and ad-buying data to predict what will cause a trend or buzz. Social media discussions on the clothing habits of a popular band might cause specific trousers to become popular. These sentiment analyses get even more complex if you realize that there is a heavy demographic component embedded together with economic indicators. Offerings on detective books will increase significantly if two things occur – the weather gets colder and at the same time a significant crime is discussed on social media.

In-Memory Computing and Interactive Insights Make the Difference

Retailers and B2Cs in today’s market dynamically follow and influence customer buying behavior. They have to because the consumer is so well informed and has so many alternatives for buying. Retailers have to act instantly on changing behavior. To do so the amount and complexity of information that needs to be analyzed is so big, only in-memory computing can handle it. Bear in mind that an individual retailer is never on its own but part of a brand, meaning individual shop performance is rolled-up to the corporate level. This corporate level manages online shop performance indicators, compares the various stores, and delegates rolling budgets down to the shops on a daily basis. These budgets vary daily given the changing demand analyses we talked about above.

These dynamics also require online interactive analytical capabilities. Information on buying and demand behavior varies daily and is analyzed permanently. Ever changing sources, unknown structures of new information, or simulation models require the analyst to interact with the data all the time.

In a future article, we will deep dive into some of the other use cases for business analytics in Retailing and B2C market spaces. One of them is basket analysis. Using predictive modeling combined with business analytics, it’s possible online to utilize the buying behavior of the consumer. These are techniques that are used today! Looking forward to share with you

– See more at: http://blogs.sap.com/analytics/2015/12/09/the-overwhelming-power-of-analytics-in-retailing-and-b2c-part-one/#sthash.ozusXrxq.dpuf