Cover Image

IoT-based Fresh Produce Supply Chain Under Uncertainty: An Adaptive Optimization Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Seth, Chirag, Pirnia, Mehrdad, Bookbinder, James H
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Optimization of Inventory at Large-scale Supply Chains
by: Jin, Zhaoyang Larry, et al.
Published: (2025)

Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
by: Xu, Liming, et al.
Published: (2023)

Magazine Supply Optimization: a Case-study
by: Nguyen, Duong, et al.
Published: (2024)

An Efficient Data Driven Model for Generation Expansion Planning with Short Term Operational Constraints
by: Shavandi, Hassan, et al.
Published: (2018)

OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
by: Ao, Ruicheng, et al.
Published: (2026)

A Neural Network Framework for Discovering Closed-form Solutions to Quadratic Programs with Linear Constraints
by: Beylunioglu, Fuat Can, et al.
Published: (2025)

Adaptively Robust LLM Inference Optimization under Prediction Uncertainty
by: Chen, Zixi, et al.
Published: (2025)

Tutorial and Practice in Linear Programming: Optimization Problems in Supply Chain and Transport Logistics
by: Bridgelall, Raj
Published: (2022)

Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
by: Stranieri, Francesco, et al.
Published: (2025)

ODE-based Learning to Optimize
by: Xie, Zhonglin, et al.
Published: (2024)

Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
by: Xie, Zhuojun, et al.
Published: (2025)

Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models
by: Koptev, Pavel, et al.
Published: (2026)

Optimal Chaining of Vehicle Plans with Time Windows
by: Fiedler, David, et al.
Published: (2024)

Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
by: Bai, Ningwei, et al.
Published: (2025)

Client-Centric Federated Adaptive Optimization
by: Sun, Jianhui, et al.
Published: (2025)

Dynamic Memory Based Adaptive Optimization
by: Szegedy, Balázs, et al.
Published: (2024)

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
by: Buyuktahtakin, I. Esra
Published: (2026)

Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
by: Suarez, Fausto Mauricio Lagos, et al.
Published: (2026)

Adaptive Online Non-stochastic Control
by: Mhaisen, Naram, et al.
Published: (2023)

Optimization Learning
by: Van Hentenryck, Pascal
Published: (2025)

Adaptive Stabilization Based on Machine Learning for Column Generation
by: Shen, Yunzhuang, et al.
Published: (2024)

Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
by: Fard, Amir, et al.
Published: (2025)

Hindsight-Guided Momentum (HGM) Optimizer: An Approach to Adaptive Learning Rate
by: Sarkar, Krisanu
Published: (2025)

Value of Information-based Deceptive Path Planning Under Adversarial Interventions
by: Suttle, Wesley A., et al.
Published: (2025)

Production Planning Under Demand and Endogenous Supply Uncertainty
by: Hewitt, Mike, et al.
Published: (2025)

A Minimalist Bayesian Framework for Stochastic Optimization
by: Wang, Kaizheng
Published: (2025)

MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
by: Sharifnassab, Arsalan, et al.
Published: (2024)

Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
by: Wang, Han, et al.
Published: (2025)

Complexity Bounds for Smooth Multiobjective Optimization
by: Sampaio, Phillipe R.
Published: (2025)

Compact Optimality Verification for Optimization Proxies
by: Chen, Wenbo, et al.
Published: (2024)

Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling
by: Celestini, Davide, et al.
Published: (2024)

On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
by: Manoj, Arjun, et al.
Published: (2025)

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility
by: Saves, Paul, et al.
Published: (2025)

AI4OPT: AI Institute for Advances in Optimization
by: Van Hentenryck, Pascal, et al.
Published: (2023)

Trilevel and Multilevel Optimization using Monotone Operator Theory
by: Shafiei, Allahkaram, et al.
Published: (2021)

WANCO: Weak Adversarial Networks for Constrained Optimization problems
by: Bao, Gang, et al.
Published: (2024)

A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
by: Hu, Zeou, et al.
Published: (2026)

Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2026)

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
by: Li, Wenhao, et al.
Published: (2025)

BenLOC: A Benchmark for Learning to Configure MIP Optimizers
by: Li, Hongpei, et al.
Published: (2025)