This article analyzes Li Auto's plan to close about 100 underperforming stores in 2026, builds a three‑factor scoring model, conducts a cost‑benefit analysis, and formulates a 0‑1 integer programming optimization to identify which locations to shut while highlighting broader product‑line challenges.
Didi balances ride‑hailing supply and demand by forecasting regional needs with time‑series and deep‑learning models, then optimally repositioning drivers through integer programming and refining policies via imitation and offline reinforcement learning, ultimately enhancing passenger experience and platform efficiency.
By formulating the Aurora Blue box design as an integer programming problem and applying both exact linear methods and a tailored genetic algorithm, the study identified an eight‑to‑fifteen‑type solution that raises packing efficiency by 5.49%, cuts paper use 7.6% and trims shipping cost by 0.06 CNY.
This article explains 0‑1 integer programming, its advantages, common solution methods, and demonstrates its application to an assignment problem using a relay‑team case study solved with Python's PuLP library, yielding the optimal swimmer‑stroke allocation.
This article introduces integer programming, explains its standard form, outlines two primary solution techniques—branch‑and‑bound and cutting‑plane methods—and demonstrates their application through a chocolate‑production optimization case that maximizes profit under resource constraints for the company.
This paper introduces a novel multi-dimensional causal forest model combined with efficient integer programming algorithms to estimate heterogeneous treatment effects (HTE) in marketing scenarios, outperforming traditional tree-based methods through improved handling of intervention heterogeneity and resource allocation optimization.
