Supply Chain Management Journal 2024 Volume 15 Number 1

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. Distribution centers consolidate products for efficient dispatch to final destinations and can be self-managed or operated by third-party logistics providers. The costs of building and operating distribution centers vary widely, influenced by factors like size and location. To enhance SCM education, tools like anyLogistix enable students to simulate and analyze supply chain dynamics, focusing on key performance indicators (KPIs) to measure operational, customer, and financial performance. Simulation, combined with optimization, offers powerful insights into supply chain design and management, addressing the need for experiential learning in SCM. In this paper we present the complexities of teaching supply chain logistics and how the anyLogistix free simulator can be used in the classroom to facilitate this.

Supply-chain management, anyLogistix, Sustainability, Teaching Supply-chain Logistics, Supply-chain capabilities.

June 2024, pp 1-14

Logistics industry, responsible for transporting goods around the world, faces significant pressure to reduce its environmental footprint. The transition towards a more sustainable future necessitates significant changes within supply chains. Electrification, the replacement of fossil fuel-powered equipment with electric alternatives, presents a promising solution. This paper explores the multifaceted impact of electrification across various stages of the supply chain, highlighting the potential benefits of electrification, including reduced greenhouse gas emissions, improved air quality, and enhanced energy efficiency. Additionally, electrification can contribute to operational cost savings and noise reduction within warehouses and distribution centers. However, the path towards a fully electrified supply chain is not without its challenges. The paper will delve into these obstacles, such as the high upfront costs of electric vehicles and charging infrastructure, limited range anxiety for long-haul transportation, and the need for a robust and reliable electricity grid. Finally, there have presented the perspectives on the future of electrification in supply chains, the emerging technologies that hold promise for overcoming current limitations, alongside potential policy initiatives that can incentivize wider adoption. The paper concludes by emphasizing the crucial role of electrification in achieving a more sustainable and efficient supply chain network, the electrification’s potential to transform supply chains into more sustainable and environmentally responsible systems.

electrification, supply chain, sustainability, emissions reduction, energy efficiency, electric vehicles

June, 2024, pp 15 – 29

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. It is now the right time to advance value chain analysis, and transform the value chain along each step with the help of Gen AI, consequently improving performance including by valorizing LLMs and intensifying compliance. There is no doubt about the imperative of accelerating the supply chains’ transformation, further improving businesses’ sustainability and end-to-end consumer experiences, considering the role of data-driven decisions regarding sustainable value chains and Gen AI-managed supply chains, so as to advance on the path to innovation and sustainable growth.

Value Chain Analysis; Supply Chains’ Agility and Adaptability; Supply Chains’ Sustainability and Reliability Integration; Gen AI-Managed Supply Chains; Data-Driven Sustainable Value Chains; Sustainable-Resilient-Responsive Supply Chains’ Development

June, 2024, pp 30 – 36

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. Developing AI literacy involves a better understanding of how Gen AI impacts on both professors, and students: ensuring the balance between its use and human interaction in finding solutions’ process, maintaining an essential perspective on its strategic implementation, managing Gen AI-driven information burden, helping the growth of students’ original thinking, and getting them ready for the Gen AI-driven workforce, considering Gen AI value chain and supply chains’ social, economic, and environmental impact at each stage of E2E process in SCM. As they are expected more impressive developments along with the ChatGPT remarkable impact on innovation in the AI industry, it is recommendable to better understand how this language model based on neural network architecture requiring numerical data as input can open its full potential, and supply improved advice by better clarifying user’s particular situation. Without doubt, in the Gen AI value chain there are significant opportunities, such as the novel type of neural network architecture inspired by neuroscience and known as liquid neural networks (LLN) which are using dynamic connections between neurons, proving the ability to integrate new information while in progress, being useful including in logistics. And as the large language models (LLM) revolution, driven by the neural networks, cannot be incorporated in thin client (a device with limited computing capacity) layers, these LLN were seen as an opportunity (in context in which LLM models become a key resource which cannot keep up with the inputs coming its way). It is considered that is still too soon to make a judgment about the likely result of the Gen AI use in higher education, small experiments being still in progress, like those with AI tutor powered by ChatGPT and avoiding the so-called AI hallucinations. And as a lot might still change, it is worth mentioning the preoccupation of the Romanian-American University to be among the first institutions in Romania to integrate such technologies as AI Tutor in education, a first action in this sense having already taken place

Higher Education; AI Literacy; Gen AI-Driven Workforce; Gen AI Value Chain; Supply Chains’ Social, Economic, and Environmental Impact; LLM; LLN; AI Tutor Powered by ChatGPT

June 2024, pp 37 – 48