Projects
Six registered manufacturing software works and eight selected engineering and data projects, spanning statistical analysis, predictive modeling, application development, and systems implementation.
The six V1.0 software works cover cost forecasting, dynamic expenses, inventory structure, supply anomalies, raw material purchasing, and profit analysis. Yi Ma is the registered copyright holder of all six works.
Models raw material, labor, and equipment costs to support cost forecasting, variance explanation, and optimization analysis.
Core Methods Multiple linear regression · Cost driver analysis
Registration No.: 2025SR1594104
Links goods movements, transport status, and expense records for dynamic cost calculation, discrepancy detection, and reconciliation.
Core Methods Goods movement tracking · Dynamic expense analysis
Registration No.: 2025SR1605165
Uses inventory time series to forecast changes in stock composition, supporting replenishment, shortage risk assessment, and working capital analysis.
Core Methods Discrete-time series · Inventory structure forecasting
Registration No.: 2025SR1605187
Detects anomalies across orders, inventory, logistics, and production status, translating continuous monitoring into risk alerts.
Core Methods Statistical anomaly detection · Continuous monitoring
Registration No.: 2025SR1594094
Simulates purchasing strategies using prices, inventory, and production requirements to compare outcomes across purchasing schedules and quantities.
Core Methods Operational return simulation · Procurement strategy comparison
Registration No.: 2025SR1605201
Integrates business data from multiple sources to analyze profit drivers and support decisions through factor analysis and scenario comparison.
Core Methods Multi-source data integration · Profit driver analysis
Registration No.: 2025SR1605166
Selected projects include statistical analysis, experimental design, early programming work, content recommendation, online booking, mobile applications, and document question answering.
Integrates recommendations, caching, a React interface, and authentication through back-end APIs, with deployment on AWS.
Spring Boot · React · AWSSupports property search, reservations, database access, and media storage, using transactions and concurrency control to prevent double bookings.
React · PostgreSQL · Cloud RunUses Kotlin and Jetpack Compose for the interface, Room for offline caching, and ExoPlayer for music playback.
Kotlin · Jetpack Compose · RoomCombines document chunking, vector retrieval, and reranking with streaming answers and follow-up questions, supported by optimized back-end request handling.
Node.js · LangChain · Vector retrievalUses R and Linux for monthly data cleaning, parallel processing, and model comparison, with findings documented in reports and presentations.
R · Linux Shell · Parallel computingCompares six classifiers using tuning and cross-validation. This is an educational project, not a source of medical diagnosis or advice.
Feature engineering · ROC/AUC · Model comparisonExamines water quantity and cooking time in a 3 × 2 factorial design, using 30 observations to test main effects and interactions.
Experimental design · Hypothesis testing · RegressionUses Python to manage accounts, inventory records, and historical data, with data-driven support for purchasing plans.
Early programming · Inventory records · Purchasing plansMatches software modules to manufacturing contexts by considering business needs, data fields, decision windows, validation baselines, and process responsibilities.
Aligns order, route, milestone, and expense identifiers to classify discrepancies, review records, and explain their causes.
Aligns material identifiers, inventory locations, and time intervals to build historical series and support inventory risk assessment.
Technology transfer and implementation records for six software works · Chinese PDF · 13 pages