processes Archives - Supply Chain Institute

Changing My Mental Model

The Middle East Respiratory Syndrome (MERS), first reported in Saudi Arabia in 2012, didn’t make headline news. Likewise, I watched the coverage of SARS, H1N1, and Ebola from my TV screen. As the COVID-19 saga unfolded, this was my mental model. My first articles dealt with the virus as a Chinese localized phenomenon. My jaw dropped when a friend became ill in Dallas in January from a visit to Dubai. I never conceived that it would become my reality.

Start Doing

In my prior articles, I have written extensively on the need for outside-in demand sensing processes based on market consumption data. I have also written about the need for supplier development programs and building robust supply chain capabilities in value networks. (I list these articles at the bottom of this post for reference.)

Stop Doing

What can we stop doing? The first step is to stop traditional demand planning processes based on conventional order pattern modeling. (This is the ouput of the conventional Advanced Planning models.) The modeling of historic order patterns is worthless through the pandemic. Why? The sales order pattern is no longer a predictor of future demand. Instead, invest in market sensing and the use of market consumption data. Attempt to read market shifts as they happen and drive a response.

Wrap-up

In closing, let me leave you with some thoughts. The pandemic is the result of a novel virus. Today, we have more that is unknown than known. What we stop doing will give us resources to focus on managing the supply chain in these uncertain times. Let me know your thoughts, and good luck.

The idea of automation in manufacturing and the supply chain is nothing new – since the earliest days of the industrial revolution we have sought to automate tasks with machines, and lower the cost of manufacturing processes.

In countless cases, the application of machines, and more recently software, has meant improvements in the consistency of products, facilitated near 24/7/365 production and has meant staff can be focused on higher value tasks in their company.

Yet the use of technology in the industry may not be fully understood; a recent Capgemini survey showed that nearly half (48%) of UK office workers are optimistic about the impact automation technologies can have. However, while respondents to the survey had a general idea of the benefits that might accrue, they were less clear as to how these technologies could be applied to their specific area of work. And worryingly, only 20% said they felt their organisations were currently benefiting from automation – clearly the industry is missing a trick.

However, as utilisation stagnates for certain companies, the market is maturing. Automation is now reaching far beyond simple process software and mechanisation. Technologies such as the Internet of Things (IoT), cognitive computing, advanced robotics, Digital Fabrication and blockchain are becoming increasingly popular, bringing together the power of automation and analytics.

Yet other areas such as artificial intelligence (AI) and machine learning, which are proven enablers for new ways of optimizing the supply chain and manufacturing processes, are less understood. It’s agile, forward-thinking businesses that are able to utilise these technologies in a thoughtful way that will reap the benefits.

Read more at How intelligent automation will impact and revitalise global supply chains

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