Strategic Risk Management To Counter VUCA

Hope For The Best And Plan For The Worst should be a consistent and shared mantra for all businesses as a means to focus on strategic risk management. The importance of this has increased to the highest level as a result of the COVID-19 pandemic and the activities to both recover and prepare for the next disruption. This requires a significant investment in strategic risk mitigation definition and development and must include partner risk management in the scenario development and risk mitigation strategy. This includes all partners and integrations in the extended supply chain. The weakest link in the supply chain will continuously change depending on the type of disruption and your strategic risk scenarios must be developed to define a response for all scenarios.

One critical activity, or requirement, is implementing a regular risk scenario review process that evaluates the likelihood of scenarios and most importantly, new scenarios. As we have seen from the many disruptions experienced so far this year risk scenarios and potential changes continuously with new risks rising and other risks declining and disappearing. You will never in a million years be able to identify all risks, and the point is that a regular review process provides the means to review so that you can add and remove scenarios as necessary.

The next activity is developing and implementing the appropriate data analytics capabilities that will support the ability to sense the reactions to disruptions and most importantly, the reaction to combinations of disruptions. The risk scenarios must identify the reactions to combinations of disruptions and then you must have a means to measure the responses. This is where data analytics comes into play, along with a healthy helping of imagination. Different disruptions and combinations of disruptions will cause different reactions in the supply chain and these reactions must be identified quickly in order to determine the appropriate response. The risk scenario identification and evaluation is important but it is based on assumptions and personal viewpoints of the team that developed the scenarios. Data analytics brings the facts to the table to help to determine the appropriate response.

The glue that connects these processes and activities is imagination. Risk scenarios require imagination to create, risk response exercises require imagination to develop, data analytics requires imagination to develop the queries and identify the appropriate data and source to identify the reaction to the disruption and then to validate the effectiveness of the response. As you can imagine, this is not a ‘once-and-done’ exercise. This requires continuous review and evaluation in order to grow and evolve with the market and the supply chain. Each disruption and reaction to the disruption creates a new reality stream that changes scenarios and potential for disruption and it is important to continuously evaluate and develop new scenarios.

Data analytics is a very nebulous practice that requires continuous experimentation and evaluation to validate assumptions. The data analytics initially produces the outcome reaction to disruption and combinations. This is only the start, however, because after identification of the outcome you must then try to trace back the results through the responses and combination of responses if you want to tie them back to a particular disruption. I’m not sure that it is critical to tie everything back to a specific disruption though. The point of this whole exercise is to identify a reaction to mitigate the specific business disruption that has occurred and this should be the initial focus. After the mitigation exercise you will need to go back and evaluate the actions that resulted in the disruption on another day.

Tom Brouillette

Contact: tbrouillette@ncspartners.com

@ncspartners

COVID-19 Crashed Into The Economy

Covid-19 crashed into the economy causing supply and demand side disruption that continues to ripple through the supply chain impacting planning and forecasting in addition to transportation, storage and manufacturing disruption. This disruption requires robust data analytics to sense and respond to the dynamic changes that ripple through the economy. The challenge and first priority is developing the capabilities based on a robust data analytics business intelligence model to sense and respond early to risk so that the impact of the continuously changing disruption. This challenge requires a great deal of imagination and focus in order to develop the tools and framework that is both robust and flexible to respond to the disruption.

This is not a single event, it is a significant event in a series of events that will continue to impact the economy and as a result the extended supply chain into the future. This fundamentally changes your business continuity planning requirements to include a larger number of scenarios and combinations of scenarios in order to manage the risk. In addition to the expansion of risk scenarios this also requires more frequent reviews and most importantly - data analytics to sense the disruption early in the life cycle. This combination of additional and improved strategic business risk scenario evaluation and improved analytics to sense the disruption are key to successful response to limit the impact of the disruption.

We have reached the point now in the global market where these capabilities are critical not to the success of your organization but they are now a critical factor in the survival of your organization! The current situation is a perfect example of how risk is driven by multiple events to disrupt. In the last year we have experienced severe climate related events such as wildfires, hurricanes and tornadoes that impact the market and product demands Then add to this the US / China trade war that initiated the manufacturing shift from China to other Asia Pacific countries. Then before the trade war settled the pandemic crashed into the market first impacting manufacturing and flowing through a shut down of the world economy.

All of these factors come together for a 500 year disruption that must be resolved. We must reset our scope and risk management though to plan for the 500 year disruption continuously. In a global market there are so many factors that influence change and disruption along with the impact of the disruption. These factors change with the season and the relationship and impact of the combination of factors require a focused risk scenario strategy in order to sense the factor early so that the response can be identified to limit the disruption.

It is no longer acceptable to react to the disruption after the fact. The disruptions are coming too quickly and more importantly the disruption builds on previous factors and disruption to create new impacts. Your organization will not be able to survive unless you implement a risk management sense and response strategy that is frequently reviewed and revised for new scenarios and responses. The good news is that the tools are available now to support this initiative and only require the focus and priority to develop and monitor the strategy.

COVID-19 Requires Optionized Supply Chain

I have been discussing supply chain disruption for quite a while now as it relates to consumer demands and natural events such as destructive weather. The COVID-19 pandemic now adds a new and even more real, and more serious, disruption that must be addressed. The key underlying challenge is how to address disruption and especially extreme disruption. We have already entered into a time of extreme discontinuous disruption that demands and absolutely requires immediate response to survive and support the demands created from the disruption. We can no longer ignore the disruption cycle and as a result must focus now on an optionized supply chain rather than an optimized supply chain so the response can be supported through pre-planned actions. The critical requirement is to continue the supply chain and minimize disruption through a robust risk sense and respond strategy. This risk management strategy must become a critical aspect to the supply chain management overarching strategic plan.

The global supply chain is a fact of life now and as a result of the length of time this supply chain has been developing, it is now the norm. Frankly, it would require an unreasonable length of time and money to change, and most importantly, the cost would never be recovered. We must look past the angry demands to move manufacturing ‘back to the US’ and instead take a more reasonable approach to accept and plan for disruption and then develop options and practices to quickly and efficiently adjust to disruption. This means adding an enhanced risk analysis and risk management strategy to the supply chain planning and forecasting tool kit. We must now focus on disruption scenario planning and response option development to ensure that we are able to minimize the impact to the supply chain.

The good news is that we already have practices and tools available to enable disruption options risk analysis and determination. The current state of supply chain software with the addition of big data analytics provides the framework for a robust early risk warning capability to allow implementation of options to address the disruption. We must develop the strategy now utilizing the framework of available tools to support the process. The result of this initiative will be a framework of process and procedures that will allow the extended supply chain partners to sense and respond to disruption based on scenarios and options that have been identified previously.

The challenge with implementing the disruption sense and respond risk analysis framework is not the supply chain management tools. These tools are quite robust and provide the capabilities to adjust quickly and efficiently to the disruptions in a truly efficient manner. These tools over the years have progressed to a state of flexibility in configuration capabilities that is truly quite amazing. The flexibility and configurability has been built into the software to allow a super user to support standard and general maintenance requirements without support of an engineer or software developer. These configuration capabilities I believe are quite capable to support the demands of the ‘optionized’ supply chain to support the risk sense and response framework.

The challenge now from a technology perspective is related to sensing and identification of the risk in a timeframe that allows the supply chain to identify and then implement the appropriate configuration options to manage and flourish during and (most importantly) after, the disruption event. Fortunately, big data and analytics has reached a state that is beginning to support the requirements to sense and determine how to respond to the disruption based on a predetermined business continuity plan. The analytics requires an efficient tool in order to bring the data together from disparate sources into a pool where the analytics can be utilized. This is one of the new continuing supply chain management requirements.

This leads to the next challenge which is to define a robust and flexible business continuity plan that provides suggestions for predetermined options based on the type of disruption. This business continuity plan takes on new meaning and also new use in the supply chain. This plan must be extended first to identify any type of business and supply chain disruption that may occur and then identify the potential for the disruption (risk) along with configuration options to react and adjust to the disruption. In my experience, the business continuity plan has been reviewed at a minimum and normally on an annual basis. The review process must be more rigorous and reviewed more frequently in order to provide the flexibility and direction required to address disruption.

I suggest a two-pronged focus on the review of the business continuity plan to extend the types of disruption and the potential impact along with identification and implementation of a data analytics tool that supports efficient and flexible identification of disruption early. It is most important to identify the potential for disruption so that you can react early and adjust to address the disruption prior to serious supply chain impact. The key focus must be the big data analytics in order to sense and respond to the disruption. Disruption is a way of life now, it is critical to manage the disruption in a way that limits the supply chain disruption.

Tom Brouillette

Contact: tbrouillette@ncspartners.com



@ncspartners