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RUEDIGER HAGEDORN
End-to-End (E2E) Value Chain Director
The Consumer Goods Forum
AI-Powered Supply Chains: Predicting the Unpredictable – Part I
In today’s volatile world, supply chain disruptions are becoming increasingly common. From natural disasters to geopolitical instability, businesses face unprecedented challenges in ensuring the smooth flow of goods and services. This presentation explores how Artificial Intelligence (AI) is revolutionizing supply chain management by enabling companies to:
Anticipate disruptions: AI algorithms analyze vast datasets to identify potential risks and predict disruptions before they occur.
Optimize operations: AI-powered tools optimize inventory levels, route planning, and warehouse management for maximum efficiency
Enhance resilience: AI helps businesses adapt to unexpected events by suggesting alternative sourcing options, rerouting shipments, and adjusting production plans in real-time.
Through real-world examples and case studies, we’ll demonstrate how AI empowers businesses to build more robust, agile, and resilient supply chains capable of weathering any storm.
VIRGIL POPA
Professor Ph. D.
Valahia University of Târgovişte, Romania
Generative AI – Integrator of new Technologies for the Reliability and Sustainability of Supply Chains.
We currently live in a crazy ab (normal) world with enormously many cases of disruptions In the current conditions when wars are developing, when leverages new technologies solutions and capabilities including the Internet of Things, Robotics (RPA), Big Data & Data Analytics, Blockchain from Supply Chain 4.0. – generates high risks and unpredictable disruptions. In order to achieve a continuous, sustainable business activity, we cannot imagine that the use / use of people, no matter how much intelligence they have, is no longer possible without computers, without sophisticated applications, newer tools such as AI or Generative AI.
Generative AI is incredibly exciting, with endless possibilities for transforming every aspect of our daily lives.
Generative artificial intelligence (generative AI, GenAI, or GAI) is artificial intelligence capable of generating text, images, videos, music, video, sounds and especially code in response to a command and automate actions and facilitate pulling in or other data using generative models, Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics in internal and external data. One of the most spectacular uses of Machine learning Technology ChatGPT created by OpenAI of ChatGPT, together with Microsoft brings a spectacular leap in the use of Excel sheets, PowerPoint presentations, LinkedIn resumes.
GERD WOLFRAM
Doctor
IoT Innovation & Consult
Cologne, Germany
AI-Powered Supply Chains: Predicting the Unpredictable – Part II
In today’s volatile world, supply chain disruptions are becoming increasingly common. From natural disasters to geopolitical instability, businesses face unprecedented challenges in ensuring the smooth flow of goods and services. This presentation explores how Artificial Intelligence (AI) is revolutionizing supply chain management by enabling companies to:
Anticipate disruptions: AI algorithms analyze vast datasets to identify potential risks and predict disruptions before they occur.
Optimize operations: AI-powered tools optimize inventory levels, route planning, and warehouse management for maximum efficiency.
Enhance resilience: AI helps businesses adapt to unexpected events by suggesting alternative sourcing options, rerouting shipments, and adjusting production plans in real-time.
Through real-world examples and case studies, we’ll demonstrate how AI empowers businesses to build more robust, agile, and resilient supply chains capable of weathering any storm.
MICHAEL BOURLAKIS
Professor Ph. D.
Cranfield University, England
Sustainable Food Supply Chains: The Case of Food Redistribution
This presentation will discuss the supply chain of food redistribution focusing on the disadvantaged consumers. This supply chain is an interconnected supply chain bringing together the commercial and the food aid supply chains and it has many challenges including limited expertise and resources, operational inefficiencies, prohibitive logistics costs and a severe lack of collaboration.
THEODOR PURCAREA
Pofessor Ph.D.
Romanian Distribution Committee, Romania
Advancing Value Chain Analysis and Data-Driven Decisions Regarding Sustainable Value Chains, Improving Supply Chains’ Performance by Valorizing LLMs and Intensifying Compliance
Kept continuously alert by the current VUCA business landscape, supply chain professionals are under pressure to ensure sustainability and reliability integration in their supply chain network design, value network processes being optimized with the help of Gen AI, benefiting from implementing value networks by identifying innovative solutions.
MARTA STAROSTKA-PATYK
Associate Prof. Ph. D. Hab.
Czestochowa University of Technology, Poland
From Industry 4.0 to Supply Chain 4.0 – how digital transformation shapes SCM processes with modern ICT solutions
Supply Chain 4.0 is the outcome of the fourth industrial revolution (Industry 4.0). Nowadays, modern technologies and digitalization have become a reality in logistics operations. The development of the Supply Chain 4.0 concept brings numerous new challenges, particularly for manufacturing companies, which must ensure the efficiency and effectiveness of their processes, including supply chain management (SCM).
COSTEL ILIUŢĂ NEGRICEA
Professor Ph.D Hab.
Romanian-American University, Romania
A Pressing Issue in Higher Education: Developing AI Literacy, Getting Students Ready for the Gen AI-Driven Workforce, Considering Supply Chains’ Social, Economic, and Environmental Impact at Each Stage of E2E Process in SCM
Within today’s context of our home planet and of accelerated digital transformation is the right time to harmonize our beliefs regarding how things should be done, coming together to address the challenge about what’s likely to occur, and improve our economic, social and environmental interdependence management, and consequently the new risks to manage. Going on this way it is important to succeed in dealing with misperceptions and reduce the impact of potential risks of AI that is impacting literacy, making minor adjustments over time, and hoping we’ll do the good thing
BORNA ABRAMOVIC
Professor
University of Zagreb, Croatia
How the AI can help us in Supply Chain Management?
Artificial Intelligence (AI) revolutionises supply chain management by optimising demand forecasting, inventory management, and transport logistics processes. Businesses can enhance decision-making through real-time data analysis, predictive analytics, and automation by leveraging AI-powered tools. These technologies improve efficiency, reduce costs, and enable more agile responses to supply chain disruptions, making AI an invaluable asset in modern supply chain operations. Now, it is on our side to see how AI can be incorporated into our supply chain management to help us.
Tomasz JAŁOWIEC
Professor Hab.
War Studies University, Poland
Contemporary problems in international road cargo transport
In recent years, the road transport industry has experienced unprecedented economic, social and legal shocks, which have resulted in increased costs for transport companies and affected their profitability. One of the key problems is staffing issues related to the shortage of professional drivers.
GOKHAN KIRBAC
Associate Professor Ph. D.
Istanbul Kültür University, Turkey
The Impact of Blockchain Technology on Reliability and Sustainability of Global Food Supply and Demand Chains
Blockchain technology greatly impacts supply chain and logistics activities. This technology facilitates data sharing between businesses by making supply chain processes more transparent, reliable and traceable. The use of blockchain technology in the processes from production to consumption of products ensures that every step is recorded and tracked. In this way, the verifiability of information such as the source of the products, production conditions, transportation processes and storage conditions increases. Blockchain technology increases efficiency in supply chain and logistics activities, reducing the risks of error and fraud, while providing consumers with access to reliable and quality products.
ED LINDOO
Associate prof. Ph. D.
(Regis University, Denver, Colorado, USA)
Effectively teaching supply chain logistics by way of the anyLogisticx
Supply chains involve complex, multi-tiered networks of suppliers, manufacturers, distributors, and retailers. In fact, these supply chains are networks where organizations collaborate to convert raw materials into finished products and deliver them to customers. Effective supply chain management (SCM) integrates material, information, and financial flows, optimizing resources from suppliers to customers. Strategic decisions in SCM include locating distribution centers and designing service networks, while tactical issues cover inventory and transportation planning. Operative concerns address production scheduling and vehicle routing. Distribution and logistics management are vital in fulfilling customer demands, managing inventory, and controlling shipments.
MIHAELA ŞTEŢ
Associate Professor Ph. D. eng.
Techincal University of Cluj, Romania
Greening the Supply Chains using Generative AI Capabilities to Optimize Transportation Networks
This paper explores the transformative potential of generative AI in optimizing transportation networks, a critical component of modern supply chains, and in acceleration the transition to electric vehicles. There are highlighted key capabilities of generative AI in optimal route planning for electric vehicles, optimization of the fleet, freight demand forecasting, vehicle state-of-charge management, optimization of operating costs, integration with energy networks, reduction of emissions and environmental impact.
PAULA BAJDOR
Associate Prof. Ph.D.
Czestochowa University of Technology, Poland
Evaluating Current and Future Impacts of Cloud Computing on Enterprise Operations: A Comparative Analysis
This study explores the perception of current and future impacts of Cloud Computing (CC) on enterprise operations, focusing on a
comparative analysis among small and medium-sized enterprises (SMEs) in Poland. The research addresses two primary questions:
how enterprises perceive the current influence of CC and their outlook on its future role.
We are organizers of international conferences and symposiums Supply Chain Management since 2005
RUEDIGER HAGEDORN
End-to-End (E2E) Value Chain Director
The Consumer Goods Forum
VIRGIL POPA
Professor Ph. D.
Valahia University of Târgovişte, Romania
GERD WOLFRAM
Doctor
IoT Innovation & Consult
Cologne, Germany
MICHAEL BOURLAKIS
Professor Ph. D.
Cranfield University, England
THEODOR PURCAREA
Pofessor Ph.D.
Romanian Distribution Committee, Romania
MARTA STAROSTKA-PATYK
Associate Prof. Ph. D. Hab.
Czestochowa University of Technology, Poland
COSTEL ILIUŢĂ NEGRICEA
Professor Ph.D Hab.
Romanian-American University, Romania
BORNA ABRAMOVIC
Professor
University of Zagreb, Croatia
Tomasz JAŁOWIEC
Professor Hab.
War Studies University, Poland
GOKHAN KIRBAC
Associate Professor Ph. D.
Istanbul Kültür University, Turkey
MIHAELA ŞTEŢ
Associate Professor Ph. D. eng.
Techincal University of Cluj, Romania
ED LINDOO
Associate prof. Ph. D.
(Regis University, Denver, Colorado, USA)
PAULA BAJDOR
Associate Prof. Ph.D.
Czestochowa University of Technology, Poland
Organizers
Co-Organizers
