Tag Archives: Strategy

Future-proofing the supply chain

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Future-proofing the supply chain

Future-proofing the supply chain

Supply chains matter. The plumbing of global commerce has rarely been a topic of much discussion in newsrooms or boardrooms, but the past two years have pushed the subject to the top of the agenda. The COVID-19 crisis, postpandemic economic effects, and the ongoing conflict in Ukraine have exposed the vulnerabilities of today’s global supply chains. They have also made heroes of the teams that keep products flowing in a complex, uncertain, and fast-changing environment. Supply chain leaders now find themselves in an unfamiliar position: they have the attention of top management and a mandate to make real change.

Forward-thinking chief supply chain officers (CSCOs) now have a once-in-a-generation opportunity to future-proof their supply chains. And they can do that by recognizing the three new priorities alongside the function’s traditional objectives of cost/capital, quality, and service and redesigning their supply chains accordingly.

The first of these new priorities, resilience, addresses the challenges that have made supply chain a widespread topic of conversation. The second, agility, will equip companies with the ability to meet rapidly evolving, and increasingly volatile, customer and consumer needs. The third, sustainability, recognizes the key role that supply chains will play in the transition to a clean and socially just economy.

Boosting supply chain resilience

Supply chains have always been vulnerable to disruption. Prepandemic research by the McKinsey Global Institute found that, on average, companies experience a disruption of one to two months in duration every 3.7 years. In the consumer goods sector, for example, the financial fallout of these disruptions over a decade is likely to equal 30 percent of one year’s EBITDA.

Historical data also show that these costs are not inevitable. In 2011, Toyota suffered six months of reduced production following the devastating Tohoku earthquake and tsunami. But the carmaker revamped its production strategy, regionalized supply chains, and addressed supplier vulnerabilities. When another major earthquake hit Japan in April 2016, Toyota was able to resume production after only two weeks.

During the pandemic’s early stages, sportswear maker Nike accelerated a supply chain technology program that used radio frequency identification (RFID) technology to track products flowing through outsourced manufacturing operations. The company also used predictive-demand analytics to minimize the impact of store closures across China. By rerouting inventory from in-store to digital-sales channels and acting early to minimize excess inventory buildup across its network, the company was able to limit sales declines in the region to just 5 percent. Over the same period, major competitors suffered much more significant drops in sales.

Supply chain risk manifests at the intersection of vulnerability and exposure to unforeseen events (Exhibit 2). The first step in mitigating that risk is a clear understanding of the organization’s supply chain vulnerabilities. Which suppliers, processes, or facilities present potential single points of failure in the supply chain? Which critical inputs are at risk from shortages or price volatility?

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Six Ways To Optimize Your Supply Chain To Generate Profit

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Companies use multiple tactics to generate economic profit, including introducing new products, launching marketing campaigns or undertaking acquisitions. Supply chains offer an effective, though less understood, path to creating value through growth, driving down working capital, improving cash flow and lowering cost.

Surprisingly few companies understand the importance of the supply chain, and few have a formal strategy in place for managing global supply chain risk in the years ahead. This is especially dangerous given the volatility and uncertainty in trade relations between the U.S. and China, as well as other scenarios around the world. Besides geopolitical uncertainty, having the right talent, a holistic perspective and appropriate technology may all figure into the supply chain risk factor.

Use the following best practices to optimize your supply chain and minimize risk.

Redefine The Supply Chain

Best practices begin with redefining supply chain excellence and broadening its scope.

Create A Cross-Functional Team

Best practices for driving shareholder value through supply chain optimization can be easily implemented in any company for concrete results.

Focus On The Right Metrics

Following increased visibility and cross-functional team-making, focusing on the right metrics is the logical next step.

Connect With The C-Suite

Another essential best practice in supply chain optimization is building relationships throughout the entire company and starting conversations with the CFO and other key executives.

Manage Risks

Long-standing supply relationships have value, but disruption of those relationships can be devastating.

Total Value Optimization

The Total Value Optimization (TVO) framework promotes greater collaboration, integration and transparency.

Read more at Six Ways To Optimize Your Supply Chain To Generate Profit

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Supply Chain Planning Systems Become Increasingly Intelligent

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Machine learning is hot. Solution providers in supply chain planning (SCP) tell me customers want to know how these technologies will be used in future SCP solutions. But machine learning is just one form of intelligence that can be embedded in SCP applications. The growing intelligence of these solutions ranges from better integration frameworks all the way up to fully automated planning.

Better Integration Frameworks

Integration frameworks allow data from multiple sources and networks to be pulled into planning solutions much more easily. Logility’s Karin Bursa, an executive vice president, points out that “many companies have multiple ERP systems.” She sees faster integration with better certainty and master data management, as a key differentiator for Logility. The master data logic understands the range of data that is appropriate for a particular field and can track and highlight when inappropriate data gets entered. Logility’s solution also uses net change logic. In other words, their system only looks at data elements that have been updated or changed. This makes same day or inter-day data updates more efficient.

Robust Role-based Views

This is not a new area of investment; it has been going on for several years. Many suppliers have invested in easier to use interfaces, particularly excel style interfaces. These interfaces have workflows that allow planners to tackle the most important planning problems in order of importance. Demand planners may want to view forecasts in units by week at ship to locations. Financial planners may want to see monthly views of revenues by business unit. Many suppliers offer integrated business planning (IBP) modules, sometimes called supply chain control towers or cockpits, that allow for a variety of views by the wide variety of actors in a corporation involved in balancing supply with demand in ways that maximize the company’s strategic objectives. Those objectives might differ by product or customer and can include things like profit maximization, achieving revenue targets, gaining market share, and other things as well.

Bigger, Better Solves

There are always new problems to solve. Omnichannel is the best current example of that. Manhattan Associate’s Scott Fenwick, director of product strategy, points out that when a new flow is supported, like order online but pick-up-in store, inventory allocation decisions need to change. But picking up that shift in the demand signal can be difficult. They are using machine learning to help solve this true demand problem.

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Instagram and Pinterest are killing Gap, Abercrombie, & J. Crew

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Traditional mall retailers like Gap, J. Crew, and Abercrombie & Fitch have faced declining sales in recent years.

And the problem might be signaling something even more troublesome than dowdy apparel. Instead, it is a total shift in how teen consumers think.

Young people want to purchase experiences rather than actual stuff, and when they do buy clothing or shoes they want to be able to showcase purchases on social media.

“Their entire life, if it’s not shareable, it didn’t happen,” Marcie Merriman, Generation Z expert and executive director of growth strategy and retail innovation at Ernst & Young, said to Business of Fashion. “Experiences define them much more than the products that they buy.”

The only apparel young people want is clothing that can translate into an experience on Instagram or Snapchat.

Given their limited budgets and frugal tendencies, they’re more likely to purchase lots of clothes at fast fashion retailers, like cutting-edge Zara or cheap Forever 21, so that they have ample images to share.

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Many High-Tech Firms Adopt ‘Right-Shoring’ Supply-Chain Strategy, UPS Survey Finds

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Many high-tech companies have adopted a “right-shoring” strategy for their manufacturing supply chains, an approach that balances factors such as cost, quality and transit time, according to UPS Inc.’s fifth-annual Change in the (Supply) Chain survey.

The survey, conducted for UPS by IDC Manufacturing Insights, polled 516 senior supply chain executives in the high-tech industry in North America, Europe, Asia, the Pacific and Latin America.

Offshoring of manufacturing and assembly operations to countries with low labor costs remains the most common strategy, but a growing number of tech firms said they are “near-shoring” — moving production closer to end markets — to improve service levels, reduce inventory in transit and gain more control over product quality.
Among the survey’s respondents, 45% said their companies use right-shoring strategies, 47% said they offshore and 35% said they near-shore. Near-shoring was up 25 percentage points from 2010.

“High-tech companies are building more flexibility into their shoring strategies and supply chains so they can respond better to demanding market dynamics,” said Dave Roegge, high-tech marketing director at UPS. “They’re thinking more holistically about their strategies to evaluate their transportation costs and the time it takes companies to deliver goods.”

Read more at Many High-Tech Firms Adopt ‘Right-Shoring’ Supply-Chain Strategy, UPS Survey Finds

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Code red: Big data risk management requires a safety net

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Code red: Big data risk management requires a safety net

When I advise leaders on a strategy that includes data science, I ask them to consider the probability that their great idea won’t bear fruit. It’s a tough space for visionary leaders to enter — their optimism is what makes them great visionaries. That said, most data science ventures don’t turn out, and most leaders aren’t in touch with the reality that the odds are against them. Having a fallback plan makes good sense, and having a fallback plan for your fallback plan makes great sense.

For instance, when I rolled out an upgraded loyalty platform for a large financial transaction processing company in 2010, we built four plans that successively addressed the failed execution of its predecessor plan. Fortunately, we never had to pull the trigger on even the first fallback plan; however, we were fully prepared for any and all scenarios. It’s a prudent approach that I recommend for you as well, because data science is a risky endeavor.

The colors of cautious management

The best leaders have a backup plan for their backup plan. In fact, when running a strategy that incorporates big data analytics, I suggest you have a series of colored plans: green, yellow, red, and blood red (or black).

  • Green is your plan of record.
  • Yellow is a contingent plan.
  • Red doesn’t meet your minimum expectations, but it doesn’t set you strategically backward either.
  • Blood red is your worst case scenario.

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