Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
- URL: http://arxiv.org/abs/2401.14183v2
- Date: Wed, 25 Sep 2024 05:14:31 GMT
- Title: Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
- Authors: Liming Xu, Stephen Mak, Yaniv Proselkov, Alexandra Brintrup,
- Abstract summary: Recent global disruptions, such as the pandemic and geopolitical conflicts, have profoundly exposed vulnerabilities in traditional supply chains.
Recent global disruptions, such as the pandemic and geopolitical conflicts, have profoundly exposed vulnerabilities in traditional supply chains.
Autonomous supply chains (ASCs) have emerged as a potential solution, offering increased visibility, flexibility, and resilience in turbulent trade environments.
- Score: 47.009401895405006
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Recent global disruptions, such as the pandemic and geopolitical conflicts, have profoundly exposed vulnerabilities in traditional supply chains, requiring exploration of more resilient alternatives. Autonomous supply chains (ASCs) have emerged as a potential solution, offering increased visibility, flexibility, and resilience in turbulent trade environments. Despite discussions in industry and academia over several years, ASCs lack well-established theoretical foundations. This paper addresses this research gap by presenting a formal definition of ASC along with its defining characteristics and auxiliary concepts. We propose a layered conceptual framework called the MIISI model. An illustrative case study focusing on the meat supply chain demonstrates an initial ASC implementation based on this conceptual model. Additionally, we introduce a seven-level supply chain autonomy reference model, delineating a trajectory towards achieving a full supply chain autonomy. Recognising that this work represents an initial endeavour, we emphasise the need for continued exploration in this emerging domain. We anticipate that this work will stimulate further research, both theoretical and technical, and contribute to the continual evolution of ASCs.
Related papers
- Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models [49.898152180805454]
This paper presents a novel framework leveraging Knowledge Graphs (KGs) and Large Language Models (LLMs) to enhance supply chain visibility.
Our zero-shot, LLM-driven approach automates the extraction of supply chain information from diverse public sources.
With high accuracy in NER and RE tasks, it provides an effective tool for understanding complex, multi-tiered supply networks.
arXiv Detail & Related papers (2024-08-05T17:11:29Z) - On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions [46.63556358247516]
Entity- and event-level conceptualization plays a pivotal role in generalizable reasoning.
There is currently a lack of a systematic overview that comprehensively examines existing works in the definition, execution, and application of conceptualization.
We present the first comprehensive survey of 150+ papers, categorizing various definitions, resources, methods, and downstream applications related to conceptualization into a unified taxonomy.
arXiv Detail & Related papers (2024-06-16T10:32:41Z) - Large Language Model Supply Chain: A Research Agenda [5.1875389249043415]
Large Language Models (LLMs) have revolutionized artificial intelligence, introducing unprecedented capabilities in natural language processing and multimodal content generation.
However, the increasing complexity and scale of these models have given rise to a multifaceted supply chain that presents unique challenges across infrastructure, foundation models, and downstream applications.
This paper offers a structured approach to identify critical challenges and opportunities through the dual lenses of Software Engineering (SE) and Security & Privacy (S&P)
arXiv Detail & Related papers (2024-04-19T09:29:53Z) - Digital Twins for Logistics and Supply Chain Systems: Literature Review,
Conceptual Framework, Research Potential, and Practical Challenges [0.0]
This paper introduces the background of the logistics and supply chain industry, the DT and its potential benefits, and the motivations and scope of this research.
The literature review indicates research and practice gaps and needs that motivate proposing a new conceptual DT framework for LSCS.
Ideas on the next steps to deploy a transparent, trustworthy, and resilient DT for LSCS are presented.
arXiv Detail & Related papers (2023-11-29T02:15:16Z) - Implementation of Autonomous Supply Chains for Digital Twinning: a
Multi-Agent Approach [43.89334324926175]
We present an autonomous economic agent-based technical framework for autonomous supply chains.
We illustrate this framework with a prototype, studied in a perishable food supply chain scenario, and discuss possible extensions.
arXiv Detail & Related papers (2023-09-09T13:16:52Z) - Self-consistent theory of mobility edges in quasiperiodic chains [62.997667081978825]
We introduce a self-consistent theory of mobility edges in nearest-neighbour tight-binding chains with quasiperiodic potentials.
mobility edges are generic in quasiperiodic systems which lack the energy-independent self-duality of the commonly studied Aubry-Andr'e-Harper model.
arXiv Detail & Related papers (2020-12-02T19:00:09Z) - Generalisation Guarantees for Continual Learning with Orthogonal
Gradient Descent [81.29979864862081]
In Continual Learning settings, deep neural networks are prone to Catastrophic Forgetting.
We present a theoretical framework to study Continual Learning algorithms in the Neural Tangent Kernel regime.
arXiv Detail & Related papers (2020-06-21T23:49:57Z) - Universal Source-Free Domain Adaptation [57.37520645827318]
We propose a novel two-stage learning process for domain adaptation.
In the Procurement stage, we aim to equip the model for future source-free deployment, assuming no prior knowledge of the upcoming category-gap and domain-shift.
In the Deployment stage, the goal is to design a unified adaptation algorithm capable of operating across a wide range of category-gaps.
arXiv Detail & Related papers (2020-04-09T07:26:20Z) - Expressiveness and machine processability of Knowledge Organization
Systems (KOS): An analysis of concepts and relations [0.0]
The potential of both the expressiveness and machine processability of each Knowledge Organization System is extensively regulated by its structural rules.
Ontologies explicitly define diverse types of relations, and are by their nature machine-processable.
arXiv Detail & Related papers (2020-03-11T12:35:52Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.