Betriebsforschungsanalysten

Informatik- und Mathematikberufe · Berufliche Fähigkeiten & Kompetenzen · SOC 15-2031 · 231 Skills

Beruflicher Kontext

Diese O*NET-Aufgaben beschreiben den Beruf und geben Kontext für die SOC-Zuordnung. Sie bedeuten nicht, dass jeder aufgeführte Skill jede Aufgabe erfüllt.

Present the results of mathematical modeling and data analysis to management or other end users.
Define data requirements, and gather and validate information, applying judgment and statistical tests.
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.

Die O*NET-Aufgaben werden in ihrer Ausgangssprache (Englisch) angezeigt. Die Aufgabendaten sind der O*NET® 29.1 Database der USDOL/ETA entnommen und werden gemäß CC BY 4.0 verwendet.

Repräsentative Quellen

Eine begrenzte Auswahl beliebter, diesem Beruf zugeordneter Skills, mit höchstens einem Skill je GitHub-Repository. Darunter folgt die vollständige Zuordnung.

danielmiessler/Personal_AI_Infrastructure

Multi-mode analytical and creative thinking — first principles decomposition, iterative depth analysis, creative brainstorming, multi-agent council debates, adversarial red teaming, world threat modeling, and scientific hypothesis testing. USE WHEN first principles, decompose, deconstruct, reconstruct, challenge assumptions, iterative depth, multi-angle, deep exploration, be creative, brainstorm, divergent ideas, tree of thoughts, maximum creativity, technical creativity, idea generation, domain specific, council, debate, perspectives, quick consensus, red team, critique, stress test, adversarial validation, parallel analysis, devil's advocate, threat model, world model, future analysis, test idea, test investment, update models, view models, time horizon, think about, figure out, experiment, iterate, science, hypothesis, define goal, design experiment, quick diagnosis, structured investigation, full cycle.

ECNU-ICALK/AutoSkill

使用独立膨胀原理在MATLAB中编写脚本以快速计算并绘制空泡轮廓，输出格式为脚本而非函数。

sequential-thinking

majiayu000/claude-skill-registry

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

kishorkukreja/awesome-supply-chain

When the user wants to pack 2D rectangular items into bins, optimize 2D cutting patterns, or minimize material waste in 2D packing. Also use when the user mentions "2D packing," "rectangular packing," "sheet packing," "2D bin packing problem," "guillotine cutting," "two-dimensional packing," or "rectangle packing optimization." For 1D problems, see 1d-cutting-stock. For 3D problems, see 3d-bin-packing.

Alle zugeordneten Skills

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Namen und Beschreibungen der Skills bleiben in der vom Quell-Repository bereitgestellten Sprache.

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danielmiessler/Personal_AI_Infrastructure

Multi-mode analytical and creative thinking — first principles decomposition, iterative depth analysis, creative brainstorming, multi-agent council debates, adversarial red teaming, world threat modeling, and scientific hypothesis testing. USE WHEN first principles, decompose, deconstruct, reconstruct, challenge assumptions, iterative depth, multi-angle, deep exploration, be creative, brainstorm, divergent ideas, tree of thoughts, maximum creativity, technical creativity, idea generation, domain specific, council, debate, perspectives, quick consensus, red team, critique, stress test, adversarial validation, parallel analysis, devil's advocate, threat model, world model, future analysis, test idea, test investment, update models, view models, time horizon, think about, figure out, experiment, iterate, science, hypothesis, define goal, design experiment, quick diagnosis, structured investigation, full cycle.

ECNU-ICALK/AutoSkill

使用独立膨胀原理在MATLAB中编写脚本以快速计算并绘制空泡轮廓，输出格式为脚本而非函数。

ECNU-ICALK/AutoSkill

使用MATLAB遗传算法求解多变量函数的最大值，支持为每个变量设置不同的范围，并绘制显示原始目标函数值的迭代过程图。

ECNU-ICALK/AutoSkill

生成用于快速计算空泡轮廓的MATLAB脚本，使用独立膨胀原理，要求不使用函数封装，并包含正确的数组初始化和绘图逻辑。

sequential-thinking

majiayu000/claude-skill-registry

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

sequential-thinking

majiayu000/claude-skill-registry

[AI & Tools] Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

sequential-thinking

majiayu000/claude-skill-registry

(ePost) Use when facing a complex problem that needs step-by-step breakdown, branching analysis, or iterative reasoning

kishorkukreja/awesome-supply-chain

When the user wants to pack 2D rectangular items into bins, optimize 2D cutting patterns, or minimize material waste in 2D packing. Also use when the user mentions "2D packing," "rectangular packing," "sheet packing," "2D bin packing problem," "guillotine cutting," "two-dimensional packing," or "rectangle packing optimization." For 1D problems, see 1d-cutting-stock. For 3D problems, see 3d-bin-packing.

aerospace-supply-chain

kishorkukreja/awesome-supply-chain

When the user wants to optimize aerospace and defense supply chains, manage long lead-time components, handle MRO operations, or ensure AS9100 compliance. Also use when the user mentions "aerospace supply chain," "aviation manufacturing," "MRO supply chain," "AS9100," "aircraft parts," "defense procurement," "AOG support," "airworthiness," "ITAR compliance," "aerospace certification," or "aviation aftermarket." For general manufacturing, see production-scheduling. For quality, see quality-management.

capacitated-vrp

kishorkukreja/awesome-supply-chain

When the user wants to solve the Capacitated Vehicle Routing Problem (CVRP), optimize routes with vehicle capacity limits, or handle weight/volume constraints. Also use when the user mentions "CVRP," "capacity-constrained routing," "load limits," "vehicle weight limits," "volume constraints," or "payload optimization." For time windows, see vrp-time-windows. For general VRP, see vehicle-routing-problem.

capacity-planning

kishorkukreja/awesome-supply-chain

When the user wants to plan production or distribution capacity, analyze capacity requirements, optimize resource utilization, or balance capacity with demand. Also use when the user mentions "capacity analysis," "resource planning," "bottleneck analysis," "capacity expansion," "load balancing," "throughput planning," "utilization optimization," or "capacity modeling." For production scheduling, see master-production-scheduling. For long-term network capacity, see network-design.

column-generation

kishorkukreja/awesome-supply-chain

When the user wants to solve large-scale optimization problems using column generation, decomposition methods, or Dantzig-Wolfe decomposition. Also use when the user mentions "column generation," "master problem," "pricing problem," "cutting stock," "crew scheduling," "vehicle routing with column gen," "branch-and-price," or when the problem has exponentially many variables. For general optimization, see optimization-modeling. For metaheuristics, see metaheuristic-optimization.