White Papers

Simulation-Based Inventory Planning for the Digital Supply Chain Era

This white paper discusses typical today's business challenges concerning inventory optimization, and describes why it is important to utilizate dynamic simulation technology for efficient inventory planning.

Supply Chain Digital Twins: A definition, the problems they solve, and how to develop them

This paper outlines how digital twins and control towers are resolving challenges in supply chain. Using example scenarios, it shows how they help short- and mid-term supply chain decision making, how they can be constructed, and how they integrate with existing tech operations.

Managing Risks in Supply Chains with Digital Twins and Simulation

This paper will define supply chain disruption, discuss what the ripple effect is, show different risk types and mitigation strategies, and explain the supply chain resilience concept.

anyLogistix Technical Datasheet

The datasheet lists software's key approaches and features, including experiments, extension capabilities, data integration, and visualization.

Supply Chain Optimization and Simulation: Technology Overview

This white paper will show the difference between the terms “optimization” and “simulation” for logistics, and explain how to use these two techniques together to improve your supply chain.

Supply Chain Digital Transformation: Insights and Tools

In this paper, we will underline the significant differences between traditional and digital supply chain networks, mention challenges you can face during the digital transformation of your supply chain, and run through solutions and tools that can address these kinds of challenges.

Dynamic Recovery Policies for Time-Critical Supply Chains

The paper discusses recovery policies under ripple effect for a dairy supply chain in Australia. The study describes the ripple effect using the example of a dairy company supply chain, and using ALX presents a model to shape reactive recovery policies for this supply chain.

Simulation-based Supply Chain Sourcing Analysis

This paper discusses the issues of single vs. dual sourcing analysis with consideration of capacity disruptions, Big Data and demand patterns. It uses an ALX-based supply chain simulation model to suggest recommendations on single sourcing, capacity flexibility, and dual sourcing for different...

This paper discusses the issues of single vs. dual sourcing analysis with consideration of capacity disruptions, Big Data and demand patterns. It uses an ALX-based supply chain simulation model to suggest recommendations on single sourcing, capacity flexibility, and dual sourcing for different combinations of demand and inventory patterns.

Optimization of Chinese Dry Ports Interaction

This paper presents a simulation-based optimization solution with subsequent analysis for a supply chain of "dry" ports in China. The authors of the paper use anyLogistix to find the most efficient supply chain configuration and then propose a strategy for combining Chinese “dry” ports into a...

This paper presents a simulation-based optimization solution with subsequent analysis for a supply chain of "dry" ports in China. The authors of the paper use anyLogistix to find the most efficient supply chain configuration and then propose a strategy for combining Chinese “dry” ports into a unified system.

Closed-Loop Supply Chain Simulation with Disruption Considerations: A Case-Study on Tesla

Performance impact of severe disruptions in the reverse part of an automotive closed-loop supply chain is studied with the use of a discrete-event simulation model implemented in anyLogistix software. A hybrid case study-simulation methodology is applied in this research to analyze the...

Performance impact of severe disruptions in the reverse part of an automotive closed-loop supply chain is studied with the use of a discrete-event simulation model implemented in anyLogistix software. A hybrid case study-simulation methodology is applied in this research to analyze the six-echelon closed-loop supply chain of Tesla from positions of resilience. Based on the second-ary data, an example for the German...

Simulation-based Ripple Effect Modeling in the Supply Chain

Ripple effect in supply chains results from disruption propagation from the initial disruption point to the supply, production, and distribution networks. This study reveals how simulation can help fill the gaps in ripple effect management that could not be filled with analytical modeling...

Ripple effect in supply chains results from disruption propagation from the initial disruption point to the supply, production, and distribution networks. This study reveals how simulation can help fill the gaps in ripple effect management that could not be filled with analytical modeling. This is achieved through experimenting with a multi-echelon supply chain simulation model that is focused on reproducing capacity...

Revealing Interfaces of Supply Chain Resilience and Sustainability: a Simulation Study

This paper aims at analysing disruption propagation in the supply chain with consideration of sustainability factors in order to design resilient supply chain structure in regard to ripple effect mitigation and sustainability increase.

Simulation Applications to Structural Dynamics in Supply Chain Risk Management

The author version of Chapter 8 from the book "Structural Dynamics and Resilience in Supply Chain Risk Management" by D. Ivanov.

SUPPLY CHAIN OPTIMIZATION AND SIMULATION