Ilya Jackson
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View article: A review on unsupervised learning algorithms and applications in supply chain management
A review on unsupervised learning algorithms and applications in supply chain management Open
Due to pressing challenges such as high market volatility, complex global logistics, geopolitical turmoil and environmental sustainability, compounded by radical events such as the COVID-19 pandemic, the complexity of supply chain manageme…
View article: Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation Open
International audience
View article: From natural language to simulations: applying AI to automate simulation modelling of logistics systems
From natural language to simulations: applying AI to automate simulation modelling of logistics systems Open
Our research strives to examine how simulation models of logistics systems can be produced automatically from verbal descriptions in natural language and how human experts and artificial intelligence (AI)-based systems can collaborate in t…
View article: AI-based forecasting for optimised solar energy management and smart grid efficiency
AI-based forecasting for optimised solar energy management and smart grid efficiency Open
This paper considers two pertinent research inquiries: 'Can an AI-based predictive framework be utilised for the optimisation of solar energy management?' and 'What are the ways in which the AI-based predictive framework can be integrated …
View article: Synchromodal Supply Chains for Fast-Moving Consumer Goods
Synchromodal Supply Chains for Fast-Moving Consumer Goods Open
Synchromodality is an emerging concept in supply chain management. A synchromodal supply chain can be defined as a multimodal transportation planning system, wherein the different agents work in an integrated and flexible way that enables …
View article: A Scoping Review on Dynamic Networks in Supply Chains
A Scoping Review on Dynamic Networks in Supply Chains Open
Globalisation has enabled long-distance supply chains with minimal inventories and a sole focus on maximising efficiency and minimising costs. In recent years, the focus has shifted to resilience-oriented supply chain management as the glo…
View article: Do Natural Language Processing models understand simulations? Application of GPT-3 to translate simulation source code to English
Do Natural Language Processing models understand simulations? Application of GPT-3 to translate simulation source code to English Open
The need for modeling inventory management systems and associated processes is critical. However, the emphasized complexity, along with nonlinear behavior, high dimensionality, and stochasticity, frequently leads to analytic intractability…
View article: AutoML Approach to Stock Keeping Units Segmentation
AutoML Approach to Stock Keeping Units Segmentation Open
A typical retailer carries 10,000 stock-keeping units (SKUs). However, these numbers may exceed hundreds of millions for giants such as Walmart and Amazon. Besides the volume, SKU data can also be high-dimensional, which means that SKUs ca…
View article: AN EMULATION ORIENTED METHOD AND TOOL FOR TEST OF GROUND TRAFFIC CONTROL SYSTEMS AT AIRPORTS
AN EMULATION ORIENTED METHOD AND TOOL FOR TEST OF GROUND TRAFFIC CONTROL SYSTEMS AT AIRPORTS Open
The paper discusses the prospects for the development and implementation of centralized ground traffic control systems at airports. The automatic control system can only work if there is accurate data on the location of mobile objects, whi…
View article: From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems
From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems Open
Our work is the first attempt to apply Natural Language Processing to automate the development of simulation models of systems vitally important for logistics. We demonstrated that the framework built on top of the fine-tuned GPT-3 Codex, …
View article: SIMULATION AS A DECISION SUPPORT TOOL FOR AIRPORT PLANNING: RIGA INTERNATIONAL AIRPORT CASE STUDY
SIMULATION AS A DECISION SUPPORT TOOL FOR AIRPORT PLANNING: RIGA INTERNATIONAL AIRPORT CASE STUDY Open
This research considers the aspects of decision-making according to the airport activities. The decision about airport planning and management should be comprehensive and operative and of course, the assessment of alternative decisions is …
View article: Deep Reinforcement Learning for Supply Chain Synchronization
Deep Reinforcement Learning for Supply Chain Synchronization Open
Supply chain synchronization can prevent the “bullwhip effect” and significantly mitigate ripple effects caused by operational failures. This paper demonstrates how deep reinforcement learning agents based on the proximal policy optimizati…
View article: Potential of vision-enhanced floating car data for urban traffic estimation
Potential of vision-enhanced floating car data for urban traffic estimation Open
Floating car data (FCD) have recently become a popular tool of urban traffic engineering. Conventional FCD contains a series of probe cars' timestamped locations and are used to estimate traffic speeds and travel times and identify congest…
View article: Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning
Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning Open
Adaptive and highly synchronized supply chains can avoid a cascading rise-and-fall inventory dynamic and mitigate ripple effects caused by operational failures. This paper aims to demonstrate how a deep reinforcement learning agent based o…
View article: Review of Inventory Control Models: A Classification Based on Methods of Obtaining Optimal Control Parameters
Review of Inventory Control Models: A Classification Based on Methods of Obtaining Optimal Control Parameters Open
Inventory control has been a major point of discussion in industrial engineering and operations research for over 100 years. Various advanced numerical methods can be used for solving inventory control problems, which makes it a highly mul…
View article: Simulation-Optimisation Approach to Stochastic Inventory Control with Perishability
Simulation-Optimisation Approach to Stochastic Inventory Control with Perishability Open
In order to tailor inventory control to urgent needs of grocery retail, the discrete-event simulation model with realistic perishability mechanics is proposed in the paper. The model is stochastic and operates with multiple products under …
View article: COMBINING SIMULATION WITH GENETIC ALGORITHM FOR SOLVING STOCHASTIC MULTI-PRODUCT INVENTORY OPTIMIZATION PROBLEM
COMBINING SIMULATION WITH GENETIC ALGORITHM FOR SOLVING STOCHASTIC MULTI-PRODUCT INVENTORY OPTIMIZATION PROBLEM Open
All companies are challenged to match supply and demand, and the way the companytackles this challenge has a tremendous impact on its profitability. Due to the fact that markets are rapidlyevolving and becoming more complex, flexible, and …
View article: Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron
Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron Open
Inventory control problems arise in various industries, and each single real-world inventory is replete with non-standard factors and subtleties. Practical stochastic inventory control problems are often analytically intractable, because o…
View article: The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem
The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem Open
The paper describes an eventual combination of discrete-event simulation and genetic algorithm to define the optimal inventory policy in stochastic multi-product inventory systems. The discrete-event model under consideration corresponds t…