Importance of Supply Chain Resilience in the Modern World

Warehousing and Distribution

Article | July 17, 2023

At Schneider Electric, meeting our customers’ expectations is a key priority. As concern over COVID-19 (Novel Coronavirus) grows, we are monitoring developments to this situation globally, as well as following local health and government regulations, continually assessing and responding to changes. Our Business Continuity Plan (BCP) has been tested and implemented in geographies impacted. This plan includes health and safety, supply chain, lifecycle management services, and IT infrastructure. Schneider Electric operations meet the criteria of an essential critical infrastructure as defined by most governments. While we do not anticipate interruptions to our operations, local governments may require temporary containment measures. In these cases, we comply with local laws, and in most cases seek support from local authorities to maintain critical business operations as an essential business for our communities.

Supply Chain

Article | May 26, 2023

The unsurprising investment eagerness of venture capital funds is manifesting in an automation tech glut in the distribution center space. Motivated by enabling trends like labor and land shortages, DCs are amid an automation transformation. Never has defining an automation strategy been more important. There’s no shortage of VC cash available to logistics tech startups With a brightly shining spotlight centered on supply chains for the past two years, it’s no surprise that total funding in logistics startups has seen a dramatic increase – growing at over 70% CAGR (Compound Annual Growth Rate). Logistics technology startups raked in over $25 billion in the first three quarters of 2021. That’s more than half of the total amount raised in the whole of 2020, and the incentives for continuing investment persist. The rise of the of the “micro” DC “Micro” is a relative term. The size of a micro fulfillment center (MFC) can range from 5,000 to 50,000 square feet. Those reduced square footages allow location in dense urban areas, typically within 40 miles of most of their intended customers. In addition, smaller footprints lead to reduced rents compared to a standard customer fulfillment center (CFC), and the proximity to consumers makes for lower final mile delivery costs. It’s no wonder that MFCs accounted for more than half of the logistics real estate leasing activity in the third quarter of 2021. The “urban logistics” trend is fueling demand for these highly automated, smaller locations. Vertical logistics integration grows ever more fashionable among retailers It’s a very “in” thing right now, these acquisitions and partnerships, and they won’t be going out of fashion soon. For example, American Eagle took in Airterra and its parcel optimization tech and third-party logistics (3PL) provider Quiet Logistics. Target started early. They bought Grand Junction, a software platform that helps retailers determine the best delivery method and track carrier performance, in 2017. Their 2020 acquisition of Deliv brought with it same-day delivery routing technology that they’re now applying to their 2021 purchase, on-demand delivery service Shipt. Target uses Delivs’ tech to generate more efficient routes for Shipt. Kroger has partnered with UK’s e-grocery specialist Ocado to build automated CFCs across the US and expand their retail footprint. The first CFC opened last spring in Ohio and their second in Florida later that year. They plan to open 20 CFCs over the next three years. “The proliferation of DC automation solutions and modalities, the rise of MFCs in high-density urban areas, the increasingly automated vertical integration of logistics, and the need to rapidly expand order fulfillment capacity have all, in combination, advanced the need for and application of clearly defined strategies concerning the implementation of automation technology. Do not operate without one.” Vikas Argod, Principal, Supply Chains Operations practice at Chainalytics Coping with shortages in warehouse space and labor availability Third quarter, 2021 US demand for industrial real estate exceeded supply by 41 million square feet. This pushed the national vacancy rate in the fourth quarter down to a record 3.7% in the Cushman & Wakefield US National Industrial MarketBeat report for Q4 2021. Who knows what the record might be when the Q1 2022 report breaks in a few weeks? On the labor side, the December 2021 US unemployment rate was 3.9%, lower than in December 2019 (3.6%) yet reflecting a tighter labor market. Labor force participation rates are at 61.9%, nearly 2% below February 2020 levels, because of lingering effects of the COVID-19 pandemic. The rising wages and signing bonuses of the past year offer silent testimony to the ongoing constraints in today’s labor market. Both trends will remain with us for the near- and mid-term, making an automation strategy a necessary part of your DC operations as you attempt to mitigate the effects of both. In addition, warehouse labor shortages are most pronounced in markets with high distribution center densities – Greater Memphis, In-land Empire, Allentown, PA, et al.) Building the capability to rapidly open DCs at scale No other factor drives home the need for a coherent DC automation strategy like this one. Let’s explore it with an example. We’ll call this “A Tale of Two Companies.” One jumped on the automation bandwagon without hesitation – not a bad thing – but applied no strategic groundwork. The other is, well, Amazon. Company one responded to increasing demand by creating DCs in their usual, strategically located fashion. However, with automation, the lack of a logical strategy led to adopting “the best that money could buy.” So, while these DCs work fine on their own (most of the time), each employs unique implementations from a variety of vendors, with little to no overlap of methods, capabilities, and management procedures between DCs. It’s functional, but a needlessly complicated hodgepodge. On the other hand, it definitely looks like Amazon has a standardized automation strategy. One that can easily adapt to exploit the individual physical specifications of any space. This makes it simple to arrive and equip it with a standard package of automation solutions. That’s probably how Amazon blanketed the US with over 400 new DCs in just the last two years. They waste no time or money on repeating unnecessary decisions along the way. Now, we all can’t have the resources of an Amazon. However, the rise of on-demand warehousing companies like Stord and Flexe allow organizations to dramatically decrease the cycle time of standing up additional fulfillment capability. Developing an automation strategy will feel familiar. It begins with benchmarking, order profiling, current performance drivers, EBIT targets, and theoretical evaluations of newer technology options. All this leads to the creation of a decision framework for DC automation. The goal here is achieving alignment among the leadership on critical capabilities to focus on. These include rapid fulfillment, labor shortage, capacity constraints, safety challenges, or sustainability. Those that commit to this process will start slowly but finish with a strategy that will underpin thousands of decisions and enable sustained rapid growth. If, in the end, you decide that automation is not right for your operation, that’s a perfectly valid strategy as well. So long as you have a method to evaluate all of your options, and you base your decision on cost-service-sustainability trade-offs, the right strategy for your organization may be no automation at all. There’s no point in chasing shiny robotic objects if automation makes little sense‌. The rise of automation and the multitude of technologies to choose from require the development of a strategic decision framework. Contact us and see how Chainalytics – an NTT DATA company – can be your guide in developing this critical part of your foundation for growth. Our top supply chain talent, enabled by proven, leading-edge digital assets – tools, methods, and content – deliver actionable insights and measurable outcomes to some of today’s largest and most complex supply chains.

Transportation

Article | April 26, 2023

The complexity of today’s supply chain has resulted in a highly fragmented supply chain ecosystem. Whether it is a global pandemic or an ongoing war, streamlining the moving parts in the supply chain management system is an immense feat in the current climate. The resulting shortage of materials, disruption of transportation, and delays have complicated the supply chain even further. Add to it the expectation to minimize expenses, optimize inventory, and enable quality and customer expectations, and stakeholders at every level of the supply chain are inundated with challenges. This is where using advanced analytics in supply chain can be a game changer for many manufacturers. It can help them gain a deeper insight into their operations and how the supply chain is moving. How Supply Chain Analytics Enriches Supply Chain Management A 360-degree view of the supply chain is crucial for supply chain leaders. A lack of insight can cause costly delays and avoidable disruptions. Obtaining complete visibility in supply chain management, on the other hand, can be difficult. The immense volume of data that many organizations have to deal with makes it difficult to gain proper insight. Supply chain analytics tools help in gaining a better sense of the aggregated data from different parts of the supply chain, such as procurement, ERP in supply chain management, warehousing management, shipping and logistics management, and many more. The more accurate the data is, the simpler it is to use advanced supply chain management analytics to forecast, predict, and plan better in order to maximize the supply chain’s capabilities. Optimizing the Supply Chain: 3 Ways to Do so with Analytics With the range of analytics applications in supply chain in use today, manufacturers have the opportunity to completely transform how to view, manage and strategize. Here are five data analytics supply chain tools to consider in the pursuit of optimization. Demand Forecasting Inventory management is at the heart of supply chain optimization. Not calibrating the inventory stock based on demand and supply for bestselling products and those that don’t move fast can cause either an overstocking or understocking problem. Either way, forecasting the right balance is difficult to achieve, but data analytics can make it simpler. The lack of the right products in stock can heavily impact the bottom line. According to a survey by Logility, 36% of supply chain experts consider inventory optimization the primary reason for adopting analytics. An integrated mapping of retail sales, inventory levels, and the flow of goods will lead to accurate demand forecasting. This data can empower organizations to: Strategize sales promotions Define product pricing Maximize budgets Predict accurate inventory levels Inventory management has a cascading effect on the supply chain, and advanced demand forecasting has helped many organizations achieve an optimum level of inventory for the right products. Predictive Warehousing Maintenance Machine Learning (ML), artificial intelligence (AI), and the Internet of Things (IoT) have been emerging technologies on the supply chain management landscape. By using a mix of these technologies, it is possible for manufacturers to deploy predictive maintenance in warehousing. Predictive maintenance is the process of assessing data generated from the past and in real-time to determine patterns and identify equipment failure and maintenance schedule before a breakdown occurs. This helps manufacturers to: Avoid heavy repair costs Plan spare part supply Slash downtime from equipment failure Eliminate production delays In addition to reducing production bottlenecks, predictive maintenance gives businesses the ability to manage their equipment and optimize their shelf-life. Warehousing Efficiency At the warehouse phase of the supply chain, analytics can help manage the supply chain in more than just one way. The warehouse workflow is just as crucial, as it facilitates a clear view of the condition of goods as well as the optimization of the warehouse space. In addition to warehouse space maximization, quality control is another challenge that warehousing management addresses. Supply chain analytics can enhance warehousing efficiency by: Ensuring the correct storage of goods based on their weight, fragility, and perishability Aligning with resource management like equipment, vehicles Identifying disruptions to storage before they occur One of the advantages of supply chain analytics is getting a deep insight into the warehouse’s operation so manufacturers can identify gaps and take steps to make it more efficient. Transportation Tracking Real-time analytics of transportation and logistics is a crucial piece in the puzzle of supply chain management. For example, the data generated in relation to fuel consumption, weather conditions, and even traffic patterns can help organizations boost their logistics and carrier management. It can help them to: Schedule deliveries Determine better routes Evaluate current routes Strategize their shipping schedule To Wrap it Up To put it simply, a deep insight into the supply chain, inventory management, and warehouse operations is a great way to ensure the supply chain is on track. Effective supply chain management software is an asset for an organization when it is able to leverage the insights and make well-informed strategies to further optimize the supply chain.

Article | April 20, 2021

You might be wondering what the benefits are of benchmarking. Well, imagine you are training for a 100 metre sprint in your district. What would be the key number, or metric that you would need to know? It would, of course, be what the winning time was when this race was last run in your district. Without that information, you don’t know what you’re trying to target. It would be impossible to know if you’ll have any chance at all of winning the race. It’s exactly the same in business. If, for example, you are concerned about the pick rates in your warehouse, or your transport costs, or your inventory accuracy, benchmarking can help you because it can show you exactly where your performance is compared to others in your industry. A few years ago, I was working with an automotive parts business. They had a little issue with their picking productivity in the warehouse. They wondered how good it was, whether they could improve it. They actually thought it was okay. We looked at the figures and compared them with other businesses. This helped us realise that their picking productivity should be three times better than it was. And believe it or not, over a few months they did begin to improve their productivity. Why? Because benchmarking opened their eyes to the fact that they were at a level quite far below others in the industry. That’s the beauty of benchmarking. Until you know what others are doing, you can’t be sure how good your performance is. If you’ve never tried benchmarking, there are three ways you could do it. 1. Informal Benchmarking This exercise would involve you measuring particular functions or aspects of your business and comparing that against other parts of your business. Let’s say you have a warehouse operating in one city and another operating in another city. You might start to measure the same metrics and see which one is performing better. You might know other people in the industry who are also operating warehouses so you might agree to share some data with them. This is probably the easiest way to start off, but it has some downsides: You’re only measuring against a very small sample size. If all of you in the pool are not that good, how would you know what good is? You have to make sure that the businesses are similar and you are measuring things in exactly the same way. It’s very important in benchmarking to have a standard way of applying the metric. 2. Formal Benchmarking This can work for much larger businesses. Perhaps you have operations in many different countries. You could agree a formal structure for how you are going to measure performance. You could do monthly or quarterly benchmarks with all the parts of your international organisation. You could learn from each other and share best practice. This method is okay but you’re not getting access to a very large pool of results to measure yourself against. You will find that companies are very reluctant to give out benchmarking data. You might also be operating in an environment where the performance is quite low right across the business. 3. Hire a Professional Benchmarking Firm This is the ultimate way to do it, although there are not a lot of professional benchmarking firms such as ours around. If you do manage to find one, you will quickly realise that there are significant benefits to be had by bringing in the professionals: The metrics are put together in exactly the same way: When we do a benchmarking exercise for our consulting clients, we go through a very robust data-gathering process and then make sure all the costs, for example, are in the same buckets as everyone else’s in the database. You gain access to a big pool of results: Professionals have measured hundreds, if not thousands, of companies. This enables you to say, ‘Our company is this size, it operates in this industry, these are the characteristics of our supply chain, who else in that pool of results is like us? We want to be measured against them.” It’s no good measuring the performance of a grocery retailer, for example, against an industrial product supplier. They have different supply chains. You need to be measuring like with like.