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Production Planning Principles
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Process Reengineering
Systematic approach to improving business processes through radical changes, essential for achieving dramatic improvements in systems engineering critical performance measures.
Demand Forecasting
Predicts the demand for products, vital for ensuring supply chain efficiency and managing inventory levels in systems engineering practice.
Kanban Scheduling System
Visual scheduling system that controls work-in-progress for production processes, pertinent for just-in-time delivery and reducing lead times in systems engineering.
Poka-Yoke (Mistake-Proofing)
Technique to avoid simple human error in the production process, crucial for building quality into processes and preventing defects in systems engineering.
Failure Modes and Effects Analysis (FMEA)
A step-by-step approach for identifying all possible failures in a design, manufacturing or assembly process, fundamental for risk assessment and prevention in systems engineering.
Production Scheduling
Articulates when each stage of production should occur to optimize the production process, imperative for time management and resource utilization in systems engineering.
Capacity Planning
Involves determining the production capacity required to meet changes in demand, essential for scalability and flexibility in systems engineering processes.
Material Requirements Planning (MRP)
System for calculating materials and components required to manufacture a product, instrumental for inventory control and scheduling in systems engineering.
Enterprise Resource Planning (ERP)
Integrates core business processes, often in real-time, significant for enhancing decision-making and coordination across various systems engineering functions.
5S Methodology
A workplace organization method that uses a list of five Japanese words: seiri, seiton, seiso, seiketsu, and shitsuke, crucial for operational efficiency and safety in systems engineering environments.
Total Quality Management (TQM)
Addresses organization-wide quality control, engaging all departments to create a quality culture, significant for holistic quality assurance in systems engineering.
Just-In-Time (JIT) Production
Reduces inventory costs and waste, ensuring components arrive exactly when needed, relevant for streamlined workflow and efficiency in systems engineering.
Theory of Constraints (TOC)
Focuses on identifying and managing system bottlenecks, crucial for optimizing throughput and ensuring efficient resource allocation in systems engineering.
Heijunka (Production Leveling)
Involves leveling out the type and quantity of production over a fixed period, pivotal for avoiding bottlenecks and reducing waste in systems engineering processes.
Root Cause Analysis (RCA)
A problem-solving method used to identify the underlying reasons for a fault or problem, critical for ensuring effective corrective measures in systems engineering practices.
Six Sigma
Used to minimize defects and variability in manufacturing and business processes, vital for enhancing quality and reliability in systems engineering solutions.
Benchmarking
Comparing one’s business processes and performance metrics to industry bests or best practices, key for identifying areas for improvement in systems engineering.
Line Balancing
Aim to distribute the production tasks evenly across the workstations, fundamental for minimizing idle time and enhancing flow in systems engineering production lines.
Value Stream Mapping (VSM)
Illustrates, analyzes, and improves the flow of materials and information required to bring a product to a customer, crucial for identifying waste and improving throughput in systems engineering.
Quality Circles
Participative management technique where a group of workers identifies, analyzes, and resolves work-related problems, significant for collaborative problem-solving in systems engineering.
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