decision optimization

DataFunSummit

Sep 24, 2023 · Artificial Intelligence

Decision Optimization Algorithms for Port Terminal Scheduling: Case Study, Challenges, and Solutions

This article presents a comprehensive overview of decision optimization algorithms applied to port terminal equipment coordination, detailing a real-world case study, the iECS architecture, implementation challenges across data, computation, and operations, and discusses future trends and best practices for industry deployment.

AI algorithmsdecision optimizationindustrial AI

0 likes · 19 min read

Decision Optimization Algorithms for Port Terminal Scheduling: Case Study, Challenges, and Solutions

DataFunSummit

Aug 5, 2023 · Operations

Intelligent Decision-Making in Supply Chains: Conference Overview and Speaker Sessions

The forum gathers leading industry experts and scholars to discuss intelligent decision technologies across manufacturing, retail, energy, and pharmaceutical supply chains, presenting case studies, deep reinforcement learning applications, and optimization methods that drive agile, data‑driven supply chain transformation.

Artificial Intelligencedecision optimizationdeep reinforcement learning

0 likes · 9 min read

Intelligent Decision-Making in Supply Chains: Conference Overview and Speaker Sessions

DataFunTalk

Jul 29, 2023 · Operations

Operations Research and Decision Optimization Sessions at DataFun Summit 2023

The DataFun Summit 2023 Decision Intelligence Forum features leading experts from Tsinghua University, Shanshu Technology, Cainiao Network, and Alibaba Cloud presenting cutting‑edge research and real‑world case studies on operations research, supply‑chain optimization, logistics, energy markets, and decision‑making algorithms.

Optimizationdecision optimizationindustrial applications

0 likes · 7 min read

DataFunSummit

Apr 22, 2023 · Artificial Intelligence

Applying Causal Inference to Limited‑Resource Decision‑Making

This article explains the fundamentals of causal inference, illustrates its distinction from correlation modeling, and demonstrates how causal techniques can be applied to limited‑resource decision problems such as knapsack optimization, ride‑hailing subsidies, and flight pricing, while also covering experimental design, popular models, evaluation metrics, and open challenges.

Experimental designcausal inferencedecision optimization

0 likes · 15 min read

Applying Causal Inference to Limited‑Resource Decision‑Making

NetEase Yanxuan Technology Product Team

Apr 10, 2023 · Artificial Intelligence

Intelligent Reach System: Modeling, Decision Making, and Optimization for E‑commerce

The paper presents an intelligent reach system for e‑commerce that automatically selects audience, timing, channel, welfare and creative content using user, content and decision models—including XGBoost churn predictions, NLP‑generated copy, Bayesian CTR estimation and linear‑programming optimization—resulting in a 17.4 % rise in paying users and a 5 % revenue boost over manual methods.

Intelligent Reachdecision optimizatione-commerce

0 likes · 20 min read

Intelligent Reach System: Modeling, Decision Making, and Optimization for E‑commerce

JD Tech Talk

May 12, 2020 · Artificial Intelligence

Designing, Building, and Evaluating an Action Model for Decision Optimization

This article explains how to design, construct, and evaluate an Action Model that quantifies the impact of business decisions on long‑term profit, covering variable selection, model assumptions, algorithm choices, data challenges, and practical evaluation methods such as offline metrics and A/B testing.

Action Modeldata analysisdecision optimization

0 likes · 11 min read

Designing, Building, and Evaluating an Action Model for Decision Optimization