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InterAct Blog

Building supply chain resilience means going beyond reshoring

Ask anyone involved in supply chain management or logistics about the last five years and most will agree they have been tough. Brexit, Covid and the war in Ukraine have caused uncertainty on both the demand and supply side.

Such geopolitical uncertainty raises complex questions for supply chain managers, such as whether supply chains could be better prepared for shocks.

Professor Jan Godsell is the Co-director of InterAct and Dean of Loughborough Business School and Professor of Operations and Supply Chain Strategy. After a career in manufacturing and supply chains, including spells at ICI and Dyson, she moved into academia covering all aspects of supply chains. According to Jan, a common cause of supply chain breakdown is just a lack of joined up thinking between marketing and supply chain strategy.

“It doesn’t matter whether you know why a demand pattern has been caused,” she explains. “If there’s a peak in demand, there’s a peak. The data should show that you get seasonal peaks, and you can react. We know we’re going to get shocks. We won’t know the cause, but we can have a degree of preparedness knowing there will be shocks at some stage.”

Dynamic versus structural flexibility

Dynamic flexibility is possible within the current network design, while the other, structural flexibility, demands a rewiring of relationships between suppliers.

She says the first type should be enough to cope with everyday swings in demand and supply. “If things stay within standard parameters, the network needs the right buffers to deal with that variability. It is a matter of analysing and assessing how unpredictable demand might be and using maths to work out required buffers and what inventory to keep.”

Jan says exceptional events in recent years have seen both sorts of flexibility at play.

“Brexit forced the UK to be fairly well buffered, so when Covid hit it meant we had a lot of inventory for the things we normally need. What also happened was unexpected demand for things we don’t normally require, such as Personal Protective Equipment (PPE) and ventilators.

“That required structural flexibility, creating new networks to produce things at a volume not seen before. With Covid-19, it wasn’t just the UK requiring flexibility, it was the world. We had to repurpose assets in the global network to provide them. And we did a decent job, globally.”

Jan adds that structural weaknesses highlighted by recent events have been partly created by decisions taken over many years, in particular making supply chain decisions based on short-term financials and procurement rather than long-term planning.

Finance runs the supply chain game

Holding buffers or inventory in a supply chain can be expensive, and it’s often not clear who should bear that cost. This, says Jan, is partly why supply chains have not been as resilient as they could be.

“We’ve had a financially orientated view of supply chains, focused on a return on capital employed (ROCE) that enables payback as quickly as possible. That means when building a factory, we don’t factor in spare capacity. And if spare capacity means inventory, we try to maximise return and minimise inventory.”

For Jan this goes back to how we value organisations, and the role finance plays in corporate strategy. And we haven’t learned much from earlier shocks.

She points out that financially driven supply chains had an impact in the recession of the late 2000s. A lot of firms had sent manufacturing and other parts of their supply chains offshore, often to low-cost environments. But they had forgotten to factor in the cost of logistics, which became a problem when the oil price peaked.

“Suddenly, the price of logistics was higher than the price of production. That reminded people to take a ‘total landed cost’ perspective [when deciding on location],” she explains. “People were lazily using manufacturing cost as a proxy for total landed cost. Worse still, they’d started to use labour cost as a proxy for manufacturing cost.”

While current trends such as “nearshoring” and “reshoring” are ways to de-risk supply chains, Jan suggests if cost must be the key factor in a decision, total landed cost is the metric to use. But when deciding where to place operations, she suggests not letting procurement be the drivers. Instead, she says, long-term planning and collaboration across the supply chain will be more effective at delivering efficient, resilient supply chains.

Let the SCOR guide you

Prof Godsell highlights the Supply Chain Council’s Supply Chain Operations Reference model (SCOR). SCOR consists of five core processes:

  • Planning
  • Procurement
  • Manufacturing
  • Logistics
  • The returns process

Planning is the primary element. Too many supply chains, says Jan, focus on a lowest-cost approach with procurement as the primary driver.

She describes this as “lowest cost, at all cost” and says it results in all parties doing things for themselves cheaply as possible, minimising buffers, passing risk to others and leaving the whole chain more vulnerable.

“Planning should be the integrative glue that holds it together,” she says. “It should be the function that connects a supply chain. We see lots of exploitative procurement practices, expecting year-on-year cost downs, because procurement managers have been incentivized on margin.”

End-to-end supply chains?

Jan’s ideal is to build what she calls “end-to-end supply chain optimisation” between retailers, manufacturers and suppliers. This creates flow and aims to manage the supply chain in a fairer way for everyone.

Buffers must be in the right place at the right amount. And there’s a collective responsibility for holding them and we don’t do things like promotions that mess up flow. The cheapest supply chain is one with steady demand, because it means minimal buffers, because you’ve got predictability.

And such end-to-end supply chains are likely to be less carbon intensive. “There is an inextricable link between productivity, sustainability and resilience,” says Jan. “The same principles underpin all three. If we could manage an end-to-end supply chain, so that we have flow and minimised buffers, within the current network configuration, it is likely to have the lowest carbon footprint, because you’ve got nothing in it you don’t need.”

Digitalisation is key

Like much else in modern organisations, supply chain optimisation requires technology. “We can’t do this without digitalisation,” says Jan, adding this is nothing new for manufacturing. “When I worked at ICI, we had electronic process control, it was just hard wired. Now the internet provides connectivity that spans the supply chain.”

Digitalisation enables us to understand demand and supply more accurately and we have the analytics platforms and the computing power to do the analysis we need in minutes.


This article was published by Lombard, read the original version here.

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InterAct Blog

How do we create manufacturing ecosystems from supply chains?

Nikolai Kazantsev (IfM, University of Cambridge), Oleksii Petrovskyi (National University of Kyiv-Mohyla Academy), Julian M. Müller (Seeburg Castle University, Austria and Erfurt University of Applied Sciences, Germany)

Introduction

The term ‘ecosystem’ is derived from biology, capturing a system of entities interacting and depending on each other and reacting to outside challenges and requirements. Business ecosystems represent the intense relationships between interlinked multilateral, complementary actors or partners interacting for value creation (Adner, 2017; Hannah and Eisenhardt, 2018).

We define a manufacturing ecosystem as a subclass of business ecosystems where supply chain firms arrange demand-driven collaboration in all directions (e.g., with partners, buyers, and even customers), thus competing with large Tier-1 firms for direct manufacturing orders, gaining these orders, fulfilling them and capturing profits. This changes the topology of a hierarchical supply chain into a distributed manufacturing ecosystem, where Tier-1s do not arrange subcontracting of the awarded orders.

In the conventional supply chains, Small- and medium-sized enterprises (SMEs) represent most suppliers worldwide, accounting for 70% of jobs and generating up to 60% of value added (OECD, 2017). For example, the aerospace supply chain starts with the OEM, which places orders in a ‘Calls for Tenders’ (CfTs), organizes tendering processes (often leading to Tier-1s) and awards orders to the team that best matches the requirements. In this industry, SMEs can potentially provide components and services at multiple supply chain levels, but they often miss the scale, scope, standardization or technologies to play a more active role in tendering (Müller et al., 2018). Also, SMEs have reduced ability to act as suppliers due to powerful Tier-1 companies (Schirrmann & Drat, 2018). 

However, what if demand-driven collaborations between SMEs are supported?

We simulate the application of Industry 4.0, Digital platforms, Smart contracts, and Supplier development programs (Kazantsev et al., 2022) and explore the growth of the manufacturing ecosystem from a conventional supply chain. We used system dynamics to simulate these changes and provide insights for manufacturing firms and policymakers about the desired level of support (Sterman, 2000; Akkermans and Wasserhove, 2018). 

An interactive dashboard has been developed that allows the testing of ecosystem development:

Findings

1. Supplier development and digital platforms make marketplaces more transparent so that SMEs can see more calls for tenders

Supplier development programmes and digital platforms are needed to help SMEs identify more calls for tenders and potential partners for collaboration.

2. The collaboration experience and smart contracts reduce uncertainty levels and enable SMEs to submit more collaborative tenders

Participating in tendering would also enable SMEs to learn how to fulfil orders; therefore, allowing some quotas is helpful. The more firms collaborate on tenders, the lower the level of uncertainty in the market. New technologies, such as smart contracting, indirectly increase the number of submitted tenders and further support the development of a trustworthy business environment.

3. Technological support for contracting and coordination reduces the order execution queue and supports the growth of a manufacturing ecosystem 

Insufficient contracting and coordination reduces order fulfilment efficiency and calls for digitalization  (Kazantsev et al., 2023). Adopting smart contracting and Industry 4.0 increases the ability of SME collaboration to execute the awarded orders in time. Specifically, if we double investments into smart contracting and Industry 4.0 every year, the number of delayed orders grows until the 5th year but then starts falling. In the 6th year, 48 calls for tenders will be available (with a 15 % quota), seven orders out of which will be fulfilled the same year, and six orders from the previous year’s queue. In this case, the order execution rate reaches a plateau – executing all awarded orders. Year 5 is a breakeven point when order execution rate, delayed, and executed orders intersect.

Study implications 

Demand-driven collaborations play a critical role in unfolding manufacturing ecosystems. In the early stages of such transitions, investments in collaboration enablers are critical to support ecosystem growth. Thus, we recommend:

  • investing in supplier development and digital platforms as early as possible
  • enabling quotas for SMEs in tendering   
  • increasing digitalization of contracting and coordination to support the efficiency of demand-driven collaborations

https://doi.org/10.1016/j.techfore.2023.122917

References

Adner, R. (2017). Ecosystem as Structure. Journal of management, 43(1), 39-58.

Akkermans, H., & Van Wassenhove, L. (2018). A dynamic model of managerial response to grey swan events in supply networks. International Journal of Production Research, 56(1-2), 10-21.

Hannah, D. P., & Eisenhardt, K. M. (2018). How firms navigate cooperation and competition in nascent ecosystems. Strategic management journal, 39(12), 3163-3192.

Kazantsev, N., Petrovskyi, O., & Müller, J. M. (2023). From supply chains towards manufacturing ecosystems: A system dynamics model. Technological Forecasting and Social Change, 197, 122917.

Kazantsev, N. (2022). Supporting SME Collaborations in Low-Volume High-Variability Manufacturing. United Kingdom:The University of Manchester.

Kazantsev, N., Pishchulov, G., Mehandjiev, N., Sampaio, P., & Zolkiewski, J. (2022). Investigating barriers to demand-driven SME collaboration in low-volume high-variability manufacturing. Supply Chain Management: An International Journal, 27(2), 265-282.

Kazantsev N., DeBellis, M., Quboa Q., Sampaio P., Mehandjiev N., &  Stalker I. (2023). An ontology-guided approach to process formation and coordination of demand-driven collaborations, International Journal of Production Research, DOI: 10.1080/00207543.2023.2242508

Müller, J. M., Buliga, O., & Voigt, K.-I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2-17.

OECD. (2017). Enhancing the contributions of SMEs in a global and digitalized economy.

Schirrmann, A., & Drat, C. (2018). D6.1: Collaboration rules & procedures specification. Retrieved 16.12.2021 from https://6c97d07e-2d66-4f14-9c19-8c5872c4c3ba.filesusr.com/ugd/
2512a7_da7dba0ebb164182803d70e03fe6773b.pdf

Schmidt, M. C., Veile, J. W., Müller, J. M., & Voigt, K. I. (2023). Industry 4.0 implementation in the supply chain: a review on the evolution of buyer-supplier relationships. International Journal of Production Research, 61(17), 6063-6080.Sterman. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World McGraw Hill.

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Future of Digital Manufacturing Ecosystems Report Resources

Future of Digital Manufacturing Ecosystems – 2040 scenarios

Disruption, digital innovation, new business models… the world of manufacturing is changing rapidly, perhaps faster than ever before. To adapt and survive, businesses must anticipate changes, identify opportunities and make informed decisions.
 
So, how can you be ready for the changes that lie ahead? How can you pivot to be equally productive and sustainable, delivering progress with purpose?
 
The InterAct Future of Digital Manufacturing Ecosystems research team has put together a vital report that brings you the information you need, at your fingertips, outlining potential future scenarios and the associated opportunities for the manufacturing world.
 
Future of Digital Marketing Ecosystems – 2040 Scenarios

These scenarios map out four potential alternatives for the digital manufacturers of tomorrow:

  • Productivity Powerhouse
  • Flexibility as Standard
  • Sustainability Champion
  • Happy and Sustainable Workforce

Download the report to find out more about how the most useful measure of sustainable progress is total factor productivity, which accounts for inputs beyond labour – such as materials, energy and administrative time – to compare them against total outputs. You will also learn how these inputs can be measured against one another, and how businesses can begin working towards achieving them.

As the report shows, by considering the human factors behind digitalisation today, you’ll be much better placed to build true resilience into your business tomorrow.

This research was conducted by Dr. Wanrong Zhang, Professor Janet Godsell and Dr. Kamran Chatha of Loughborough Business School.

Download “Report - Future of Digital Manufacturing Ecosystems: 2040 scenarios”

Report-2040-Scenarios.pdf – Downloaded 435 times – 5.95 MB
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InterAct Blog

The three pillars of technology adoption in the agri-food industry: provision, people and practicality

Dr. Stephanie Brooks (Foods Connected)

There are terms we hear constantly in the agriculture and food sectors right now – industry 4.0, smart processes, robotic automation, Internet of Things (IoT) and Artificial Intelligence (AI) are all common buzzwords. However, while understanding the benefits of these formative ideas is relatively straightforward, putting them into practice relies on the collection, utilisation and analysis of data – data that needs to be digitally available to make this possible.

Adopting solutions that drive forward these tech advancements offers great potential in leveraging growth and productivity, but there is one sticking point. The UK agri-food industry is notoriously slow in adopting new technologies.

Of course, extraordinary events such as the Covid-19 pandemic, have accelerated the adoption of some digital technologies out of necessity, but the overall feeling has traditionally been one of reluctance, with various contributory factors including cost, resource, and general attitudes.

How to convince the sector to embrace change

There are three pillars that need to be considered to provide agri-food businesses with the confidence to adopt technology: provision, people, and practicality. These will in turn enable businesses to access the benefits that digitisation and data connectedness will bring. Let’s break them down one at a time.

Provision

It’s not that technologies haven’t been developed and tested – they have. It’s that less attention has been paid to actually provisioning tech specifically for the agri-food industry. Often technologies that make their way into the agri-food sector have been developed with a use case or other industry in mind. Only after this is the potential for it to be applied within agri-food production and/or manufacturing recognised.

Look at blockchain – its origins are in fintech, designed to trade digital currency bitcoin without the need for a trusted authority such as a bank. But repurpose this technology into the agri-food space, where it was pivoted to be an emerging technology to disincentivise and prevent fraud, and it’s clear it isn’t completely fit for purpose in its legacy form.

Why? Because the decentralised nature of blockchain means that using a typical payment model based on the number of transactions, where there are many transactions, is just not possible in a high volume/low margin sector like agri-food. So, in reality it, is just too costly to roll out. An obvious takeaway here is that if technologies are to be adapted and provisioned with the agri-food sector in mind, then it is vital that the technology providers have an in-depth knowledge of the agri-food sector.

People

It isn’t just provisioning where technology adoption currently falters. We need to shine a spotlight on how we get people to buy in. The breakdown here might not be where you think. While the benefit technology can bring to businesses is often understood on a macro level within the food industry, particularly by those in thought leadership positions, it is the onboarding of this technology’s main users that has proved more difficult.

This is not generally due to the people, but because of the change it involves. The benefits of this new way of working are not always immediately or overtly obvious to users. In fact, as a technology provider, I am often met with statements of resistance, such as: “because this is the way it has always been done”. However, this struggle to accept new technologies is often associated with a fear of change and being replaced by machines. That’s why it is so important that technology providers acknowledge these concerns and take them into consideration, reassuring users of the benefits during implementation.

Practicality

Addressing the practical aspects of a digital way of working within agri-food is the final part of making technology adoption more accessible. The responsibility here lies with the tech providers.

The processes, changes, and practical steps required to implement a new tech into a business are often confused and even misunderstood, even by the technology companies themselves.

In general, the agri-food sector operates on a high-volume low-margin model, meaning that processes are tightly refined and controlled. The industry has worked hard over the last 20+ years to bring about operational efficiencies through automation, so that cost savings or profitability can be achieved.

During this period there has been less of a focus on digitising data and the value it could bring through actionable insights. When disruptive technologies enter this process, they need to do so with ease and not impact operations or processes. In addition, they need to add value rather than create costs for businesses. Furthermore, these technologies need to be able to cope with the intricacies and nuances that exist in the production and manufacturing environments. Put simply, sometimes technology will not be plug and play – especially in its infancy. 

The outcome here is that the inherent benefits of digitisation are not immediately obvious, as they would be with operation efficiency gains. It is critical that technology providers take the time to understand the specific business where they are attempting to implement technologies and provide solutions that will support and enhance the business.

The sector, the business & the people

Ultimately, an understanding of the many aspects of the agri-food sector is critical for technology providers. Without a clear view of not just the supplier-customer relationships and their dynamics, but also the supply chain, with its global complexity and fragmented nature, and the many actors involved in the supply chain, there are sure to be issues. A grasp of all these issues assures an appreciation of the intricacies involved in technology adoption in this sector. It also ensures that technology providers can recognise any stumbling blocks ahead, while partnership with customers enables the provision of technology that is fit for purpose.

As a technology provider, Foods Connected works specifically on implementing digital solutions with Food Business Operators. The implementation of these solutions in various environments requires knowledge and understanding of how each business operates, accompanied by knowledge about the wider complexities of the sector in general. That’s why our teams have all worked in the industry and understand the intricacies of each step of the supply chain process. Our people are experts – and that’s what we need to take technology adoption forward in the agri-food industry.

After all, technology adoption and implementation are inherently coupled with people – and one cannot exist without the other.

Want to learn more about digitalisation in the agri-food industry? Join the upcoming InterAct x Foods Connected webinar: Overcoming barriers to digitalisation: adding value in the agri-food sector
About the author

Stephanie is a Senior Implementation Manager at Foods Connected. With 11 years’ experience in academia, food manufacturing and food-tech and an undergraduate degree in Food Science and a PhD in Food Supply Chain Management, Stephanie has spent her career working in food manufacturing environments in a R&D capacity, as well as working on and managing several multi million pound research projects while working for Queen’s University Belfast. Stephanie has worked with Foods Connected for the last 2.5 years, implementing, managing and delivering successful digital transformation projects within the food industry.