Discover the potential of where Logistics meets IT!
Learn more about how to simulate the supply chain in the virtual world to make faster changes, optimise networks and see impacts in real-time, using perfect synthetic data, and highly accurate forecasts. *limited places available!
Put simply, the metaverse is the use of new technologies to create a single, shared 3D version of the internet, fusing real and digital worlds together in the process. It is underpinned by detailed data and visualisation and powered by technologies like virtual reality (VR), augmented reality (AR), blockchain, artificial intelligence (AI), Web 3.0 and the internet of things (IoT).
For automotive logistics, the metaverse creates new opportunities for OEMs, suppliers and logistics partners to reap benefits in terms of visibility, connectivity and accurate planning. For example, the metaverse could help stakeholders map out the whole muti-tiered supply chain in a digital twin, and highlight, in a dynamic fashion, where any delays and bottlenecks are, how unexpected weather events could impact delivery and offer up real-time solutions to mitigate them. It can also enable stress-testing, modelling and trial improvements which will improve reliability, reduce costs and allow better decision making.
Join this half-day workshop to take a deep dive into the industrial metaverse; and learn how manufacturing, logistics and supply chain activities can be immersed into it and what solutions and optimisation outcomes can be expected.
The Automotive Logistics team invites you to kick-start your event experience at the inaugural Digital Strategies drinks reception. Connect with international logistics leaders and experts in a relaxed environment to discuss the future path to a more connected, transparent, and predictive supply chain.
Venue - Dress code – Business Casual
Venue - SZ Tower
Improving visibility and predictability when planning and designing end-to-end automotive supply chains and logistics
As ongoing supply chain disruptions have shown, having a clear line of sight from end-customer to OEM to Tier-N suppliers is essential to have true transparency, reduce downtime, manage transport capacity shortages, improve status updates and refine smart decision making.
It has, however been a real challenge, as the visibility is often only between OEM and Tier-1 suppliers; after which it gets blurred, leaving OEMs and Tier-1 suppliers exposed to issues only when it is too late to avoid any damage. Whether this is because the supply chain is across borders and facing different regulatory environments, or because there are disparate management systems in use, siloed teams and not enough real-time data (or all of the above!), the lack of visibility can often leave OEMs and other stakeholders blindsided.
Join experts from across the logistics and supply chain eco-system to learn different technologies, processes and standards can help improve fully visibility across stakeholders. Understand how OEMs and suppliers are tracking transport and assets through improved transport management systems (TMS), and using intelligent control towers to gain better visibility and achieve more predictive planning. We will also explore the role that cloud integration, artificial intelligence and blockchain can play in helping to create an even clearer line of sight across the supply chain
Accelerating digital transformation, better communication, agility and resilience through improved data governance and exchange across the supply chain
A key perquisite of a more digitised supply chain is the use and sharing of data – or more accurately healthy, trusted data, not stale unreliable data. Using data effectively can lead to stakeholders having a more complete picture of the supply chain, giving better predictability, and fewer blind spots; which in turn allows for faster and more effective decision-making, less disruption, more visibility and the ability to achieve more predictive planning across the supply chain.
However, since data resides in multiple siloed platforms, over physical and digital assets, it can be a challenge to get to grips with it in any meaningful way. Compound that with the sheer amount of data continuously being generated, and a variety of different standards and protocols for how it is shared, and the idea of a data-driven supply chain can seem a thankless, even impossible task.
In this session, panel members will explore how to move from legacy IT systems with siloed data to EDI and API integration, overcoming interoperability challenges, legacy systems and ownership and trust issues. Questions around data governance, protocols and standards as well as data usage within a digitised supply chain will also be explored, and you will learn about use cases and strategies to implement at scale.
How automotive logistics experts can gain differentiation and support decision making using real-time visibility and data analytics, uncovering the real value hidden within large datasets
Turning the huge volume of data in automotive logistics and supply chains into actionable intelligence, which assist and even automate decisions, will be a significant differentiator in the performance of many manufacturers. To ensure the fast and efficient use of data, automotive OEMs and suppliers need to mine that data, analyse it effectively and use the right tools to uncover value. Perhaps most importantly, they must then ensure that information supports logistics engineers and operators in taking early and informed decisions, from anticipating transport disruption, managing trade barriers to improving overall network efficiency.
OEMs, suppliers and logistics providers are connecting the information across their supply chains to provide decision makers with the right visibility to make these decisions; increasingly, they want to support them either further by using data analytics, AI and machine learning to see the patterns and possibilities that humans alone cannot.
Hear from a panel of experts on how they have used data strategies to improve predictive visibility, minimise disruption in the value chain and support real-time “always on” planning capabilities. They will also discuss how to effectively integrate systems, stakeholders and information from across the supply chain to provide insights to reduce risks within the end-to-end supply chain.
Protecting the digital supply chain through enhanced cyber-security measures
More connectivity across automotive supply chain and logistics also creates more layers, from industrial espionage, IP risk or cyberattacks. The increased sharing of data across all stakeholders over multiple platforms will inevitably create vulnerabilities across the network. The global nature of a supply chain and the extended reach into Tier-N suppliers have also increased the number of entry points for an attacker.
The consequences of a cyberattack include massive network disruptions, loss of sensitive data, and financial losses. Because such a threat is likely to be aimed at the weakest part of the supply chain, it is important that there is ‘end-to-end’ protection and prevention, and not just within a siloed system. Creating this complete layer of cybersecurity is an immense challenge for all stakeholders as they have to carry out risk assessments on a regular basis, considering software and hardware risks, and install systems, not just within their own organisation, but in all the other organisations in their network.
In this session, experts from OEMs, tier suppliers and solution providers will discuss how they collaborate to protect the supply chain, end-to-end, and prevent malicious cyberattacks. Learn about the potential routes to protection, what the prerequisites are and how to achieve a balance between connectivity and cybersecurity.
Overcoming strategic and operational challenges to using automation in inbound and vehicle logistics
Whether in transport or warehousing, the potential for automating repetitive processes can be a panacea in terms of cost reduction, greater productivity and improved visibility.
However, the take-up of new machineries which enable automation is sometimes slower than expected because of a lack of an overall strategy, incompatible technologies, legacy systems, budget constraints, and having the end-to-end capabilities to fit into wider supply chain processes.
Beyond warehouse robotics, automation can realise the benefits of smart factories, supply chain data capture, automatic inventory management and trucking route optimisation, and even handling of finished vehicles.
Attend this session to hear from an expert panel how to integrate automation within major parts of your supply chain activities, including warehouse management systems and transport networks, to reduce costs and optimise networks.
Designing automotive logistics networks through simulations, optimisation tools and self-learning supply chains
With more integrated information and digit representations of the supply chain, manufacturers and logistics providers can quickly and dynamically optimise networks, using simulation and data tools to understand decisions. With increased data visibility, and the use of predictive advanced analytics, logistics experts are going even further with the use of self-learning intelligence, with the opportunity to transform outmoded supply chains into more resilient, disruption-proof and transparent.
However, understanding how frequently and extensively to redesign networks, which technologies should be used, and what activities can and cannot become autonomous are important considerations. There are additional challenges in terms of costs, scalability and time-to-execution.
This session will highlight how OEMs and their supply chain partners can introduce and build on existing technology and processes to dynamically optimise their logistics network, and explore the path to creating autonomous and self-learning supply chains that will lead to increased efficiency and cost savings.
Developing and implementing a major supply chain digital transformation programme, from updating legacy systems to bringing more visibility and information to the cloud.
Whist the trajectory is towards a fully digitised automotive logistics and supply chain, it cannot happen in a single step, nor can it happen in a silo. The pace of technological change and associated benefits and risk must be considered before an effective digital transformation strategy can be formed.
The process itself must be managed properly to avoid problems during transition and after implementation, whether integrating TMS software, or transforming entire backbone systems across plants and the supply chain, such ERP, MES and S&OP. Whether it’s a lack of focus around organisational change and strategy, a lack of expertise or skills, internal resistance to buy-in, budget constraints or the ROI, a digital transformation programme must consider the key challenges within the organisation. OEMs and their supply partners also need to have a clear collaborative strategy that can help integrate digitization across the value chain, rather than duplicating silos.
During this session, hear from panellists about how OEMs and tier suppliers could establish goals, timescales, responsibilities and required resources when developing and implementing a digital programme, transforming capacity planning and enterprise resource planning in the process
Building an agile work culture to respond to new challenges in a data-centric environment
Within the new digital logistics and supply chain eco-system, where demand-driven organisations have to respond to customer requirements in a shorter timeframe than before, there needs to be a focus not just on the technology, but on workforce agility.
Since an organisation is only as flexible as its employees, agility is an essential precondition to respond to changes quickly, identify challenges before they materialise and develop innovative solutions swiftly. In that way, the agile workforce can also build strong communication and improve trust between stakeholders, both within the organisation and between its partners across the supply chain. The key areas to focus on when creating an agile workforce is the decentralisation of decision making, internal talent mobility and improving skills and toolsets.
Jon this session to hear from experts about how to nurture a working environment that is nimble enough to respond to changes in a data-centric organisation, create a cultural mindset based on openness and better communication, whilst giving teams the right leadership, tools and decision-making powers. It will also explore how manufacturers and logistics providers can bring an agile approach from their IT teams into their logistics operations, supporting more flexibility and creativity, as well as a readiness to adapt and change.