Regionalization has been accelerated by the pandemic, as countries closed their borders and protected their supply chains. Globalization was already under strain before the pandemic: the intraregional share of global goods trade increased by 2.7 percentage points between 2013 and 2018, according to an analysis by the McKinsey Global Institute (MGI). Regionalization is most apparent in global innovation value chains, given their need to closely integrate many suppliers for just-in-time sequencing. This trend could become apparent in other value chains as well, as automation reduces the importance of labor costs and increases the importance of speed to market in company decisions about where to produce goods.
The pandemic is the latest, and most severe, disruption to affect value chains in recent times. The financial impact of these disruptions is significant. An MGI analysis found that over the course of a decade, the average company can expect disruption to cause losses equal to almost 45 percent of one year’s profits. This is equal to seven percentage points of decline, on average.
On the other hand, these disruptions are also leading to growth. In the consumer-goods industry, for example, e-commerce experienced the equivalent of 10 years’ growth in the first three months of the pandemic.
Considering that operations disruptions—whether arising from geopolitics, technology, climate change, or disease—are becoming increasingly frequent, incremental improvements will not be sufficient to prevent significant revenue losses. Operations leaders must fully rethink their organizations and capabilities to deliver not only short-term financial improvement, but also longer-term value creation through efficiency, resilience, agility, and digitization.
Cost efficiency remains a perennial challenge. Ongoing price erosion has increased pressure on organizations to better manage their costs and cash position and rapidly improve the bottom line. The need for action is particularly strong in technology and advanced industries (such as semiconductors), which have experienced price erosion of 5 to 20 percent annually in recent years. Moreover, in several industries, the pandemic changed or eliminated sources of revenue virtually overnight.
At the same time, resilience has gained equal importance alongside cost efficiency as a driver of operations-related decisions. The pandemic has exposed global operations to new risks related to manufacturing and supply chains, such as the increased regionalization of production and supply. The need to comply with international trade restrictions and other regulations (such as for data privacy) has created incentives for companies to consider slowing down, or even reversing, some part of the globalization of the past few decades.
To achieve their goals for cost efficiency and resilience, companies are working to become more agile in responding to fluctuations in demand and supply—a quality that will also help companies service growth in demand as economies and customers start to recover from the pandemic. The need for agility has also made it essential for operations functions to connect more closely with commercial teams, so that both sides can deepen their visibility into demand, assess scenarios, and undertake mitigating actions as needed.
The adoption of digital technology provides an opportunity for companies to promote efficiency, resilience, and agility. The pandemic has accelerated the digital transformation of organizations at an unprecedented pace, as companies had to pivot quickly to serving their customers remotely and establishing virtual workplaces for their employees.
In our experience, the effort to rethink operations in the new normal can be guided by five imperatives.
Companies can reshape their supply chains to respond in an agile way to changes in both customer demand and supply, an evolution that will rest on a customer-centric vision in which processes and priorities are aligned to demand trends. It requires segmenting the customer base so that the company can cater to each segment’s distinctive needs. Customer centricity is supported by rigorous scenario planning to stress-test end-to-end operations, in particular for high-importance or high-margin products.
Building resilience means reconfiguring the supply chain and the supply base to minimize disruptions and other impacts arising from economic and political uncertainties. For example, companies can develop alternative suppliers for critical components to reduce single-source dependency. They can also ensure buffer capacity in manufacturing facilities (their own and those of their supply partners) to enable fast reactions to demand changes. One manufacturer, for example, determined that just one plant was a critical point of failure for an entire class of products. It pursued a series of actions to add buffer capacity and mitigate the risks, including qualifying backup plants, adding test capacity at plants, and optimizing or adding safety inventory based on risk exposure.
Companies can assess the resilience of their end-to-end supply chain by setting out clear assessment criteria for each main supply-chain area, then scoring itself on its resilience level relating to each criterion.
To provide the foundation for resilience, operations teams will want to integrate with stakeholders from end to end: internally, such as with commercial teams, and externally, with customers and suppliers. This process requires building trust with stakeholders. For example, the business will typically shift from a transactional relationship with suppliers toward a more collaborative approach, enabled by mutual trust and transparency among the parties. As potential disruptions encourage a return to regionalism, trust becomes more important than ever for maintaining global supply chains and driving faster decision-making.
Digital solutions are essential to enable efficiency, resilience, and agility in operations. Companies can develop and test digital use cases in selected operations functions and processes, then deploy them at scale to capture the full benefits. Several use cases show particularly high potential.
Data-driven decision-making. A fully digital spend-insight solution can help identify and prioritize opportunities for buyers. When implemented well, such a solution accelerates and improve decision-making, enabling buyers to focus on higher-value activities. Additionally, demand-sensing and machine-learning algorithms improve demand forecasting by connecting data pools that are internal (such as historical demand and orders) with external sources (such as macroeconomic indicators).
Data-led optimization. An integrated sales and operations planning (S&OP) cockpit can guide scenario-based decision-making for the supply chain. The cockpit enables decision-makers to maximize revenue and margins while optimizing trade-offs on inventory and costs, such as by improving the distribution-network strategy and routing based on demand hotspots. Likewise, digital monitoring of factory performance and utilization fosters data-led decision-making on manufacturing fulfillment. The resulting insights allow managers to make real-time decisions on channeling demand to the right factories. Hub managers, armed with data that gives them visibility into demand and future supply, can better optimize inventory and transport costs in response to changing conditions.
A data-driven exception-handling process, for example, helps companies meet unexpected changes in demand. In one case, a company improved service levels through data-driven, proactive identification and mitigation of short-term risks arising from demand-supply gaps for customer orders. It now forecasts an improvement in on-time in-full performance (OTIF) of 10 to 15 percentage points.
Companies can further use data modeling to redesign their supply-chain strategies. One manufacturer of highly complex products digitally modeled the trade-offs between cost, inventory, and service for individual products to transition from a traditional make-to-stock replenishment mode to a more flexible and advanced make-to-order approach—while building capabilities along the way. A medtech manufacturer used digitally enabled clustering of potential suppliers to reveal the capabilities they had in common, a strategy that allowed the company to expand its supplier base by 600 percent. At an industrial-tools maker, clustering identified request-for-qualifications-ready suppliers for highly complex parts that it had been previously unable to source.
Risk management. Proactively managing short-term supply risks becomes possible by implementing a system that connects customer orders, demand, supply plans, components, and finished-goods inventory. An analytics engine can then identify short-term risks and recommend actions for mitigation.
End-to-end performance management and visibility. Connecting data sources for end-to-end transparency of inventory—from suppliers (for component inventory) to manufacturing (whether internal or external) and on to warehouses and the customer—facilitates the management of operational metrics for suppliers and employees. More broadly, establishing end-to-end visibility across operations can yield insights that drive strategically important decisions, while also reducing response times by accelerating root-cause analysis into problems. For instance, by enhancing visibility into component risks beyond tier 1 suppliers down to tier 2 or even tier 3, companies can better assure they meet crucial service-level metrics, such as on-time delivery.
Many companies already consider the total cost of ownership (TCO) for products across categories. But reducing all costs related to a product might not always be the best solution. Typically, the optimal TCO is not the sum of the best cost scenarios for the core elements of a product, because some trade-offs across cost categories might be required to ensure resiliency. Moreover, the more advanced TCO assessments go beyond the product itself to consider costs related to sourcing, supply, and servicing.
As a result, a deeper TCO mind-set requires a more holistic approach that considers all possible implications of cost reductions. Stress tests may be required to avoid flawed assumptions, such as accounting only for the most optimistic scenarios. A TCO assessment may also point to the need to rationalize SKUs, particularly in the long tail, so that the company can invest its limited resources in the most profitable products.
Among the key costs to address with a TCO mind-set are those related to quality. Quality costs extend beyond remediation and warranty expenses, as poor quality can severely undermine the company’s ability to serve customers. Over the long term, therefore, the solution is to embed quality into the organization’s DNA, fostering a first-time-right culture that prevents unnecessary delays and slowdowns which can have exponentially negative effects on the overall business.
Companies must ensure that an overly rigid TCO mind-set does not impede efforts to use their supply chains to enable growth. An agile supply chain allows companies to pursue growth and strategic advantages by adapting to market changes faster than competitors do. To capture these opportunities, companies evaluate the trade-offs among costs, service levels, growth, and working capital. This may require new KPIs that incentivize people to consider these trade-offs, and to break down organizational silos that limit people’s ability to see the connection between spending and the pursuit of growth opportunities. New business processes—such as sales and operation planning and integrated business planning—further allow companies to evaluate the trade-offs and take appropriate actions.
Digital and technology disruptions are driving dramatic changes in ways of working, creating the need for companies to focus on capabilities that promote agility. In 2017, MGI research found that on average, approximately half of workforce activities could be automated with proven technologies. The report estimated that by 2030, about 375 million workers globally would need some form of retraining to change jobs or upgrade skills significantly. A 2021 analysis of eight major economies estimates that up to 25 percent more workers may need to switch occupations than before the pandemic. But in a 2020 survey, 87 percent of executives said their companies were not adequately prepared to address the skills gap.
Together, these trends underscore that now is the time to think about how to extend and build upon the day-to-day changes that have proved effective for the business. Depending on the company, effective new ways of working may include conducting remote negotiations with suppliers, allowing employees to work from home, and building local capabilities to avoid the need to fly in experts.
Companies are finding new ways to use remote sessions to fortify relationships and partnerships with suppliers. During a “supplier hour” event, key executives from the procurement function, sales function, and business units can meet suppliers with their cameras turned on to maintain a more human feel. Executives provide an overview of the market context, different businesses, and business developments (such as new products launches or market entries) that are pertinent to suppliers. They also set aside time for a Q&A session. The event sends a clear message about collaboration and the supplier relationship, detailing what the partnership will look like and what each party can contribute to the other.
Organizing capabilities in a less hierarchical, more flexible operating model is another significant opportunity, one that can promote cross-collaboration between operations and other units, such as production, marketing, and finance. Success requires setting common goals and embracing a culture in which a diversity of views, including across different functions, ultimately leads to better decisions and results.
Organizations can now apply the lessons they learned during the pandemic to re-envision and reshape operations functions. The goal is to go beyond the perennial challenge of cost efficiency and include resilience as a driver of operations-related decisions. Digitization and integration with stakeholders from end to end provide the foundation for building more resilient operations. Successful organizations will gain the ability to respond to changing conditions with greater speed and agility, thereby mitigating the impact of unexpected events.
This content was originally published here.