Analyzing the various processes involved within an organization to streamline the workflow and eliminate redundancies.
Process Mapping: Process mapping is a useful tool in process analysis that involves visualizing the entire process flow of a particular operation. It helps to identify bottlenecks and areas for improvement in the process.
Process Flow Analysis: This involves analyzing the flow of materials or information through a process to identify the time, cost and resource implications of various process scenarios.
Capacity Planning: Capacity planning deals with the allocation of resources to meet production demand. In process analysis, it helps identify how much capacity is needed to produce a specific product and how efficiently resources are being utilized.
Cycle Time Analysis: Cycle time analysis focuses on how long it takes a process to perform a given task, starting from when the task is initiated to when it is completed.
Production Control: Production control is the process of managing the production process to ensure that products are produced on time, within budget and meet quality requirements.
Lean Manufacturing: Lean manufacturing involves the application of principles and practices aimed at reducing waste, increasing productivity, and improving efficiency by eliminating non-value-added activities.
Six Sigma: Six Sigma is a methodology that aims to improve the quality of a process by using statistical methods to identify and eliminate defects and variations.
Value Stream Mapping: Value stream mapping is a process improvement technique that involves creating a visual map of the entire process, identifying areas of inefficiency, and developing a strategy to remove waste and reduce lead time.
Performance Management: Performance management is the process of measuring, analyzing, and improving the performance of a process. Key performance indicators (KPIs) are used to measure and evaluate the performance of the process.
Just-In-Time (JIT): JIT is a production strategy that focuses on minimizing inventory levels and manufacturing products only when they are needed. This reduces waste, saves costs, and improves production efficiency.
Time and Motion Study: A method of observation and analysis whereby a task is broken down into its component parts and timed to identify unnecessary motions or inefficiencies in the process.
Value Stream Mapping: A visual and analytical technique used to analyze and improve the flow of materials and information through a process.
Process Flow Analysis: A method of analyzing the steps in a process to identify inefficiencies and bottlenecks, with the goal of improving overall process efficiency.
Root Cause Analysis: A problem-solving technique targeted at identifying the underlying causes of problems in a process, with the aim of fixing them.
Workload Balancing: When used in operations management, workload balancing refers to the allocation of resources or the distribution of work across different processes or units to achieve optimal efficiency and productivity.
Capacity Analysis: Analysis of a process's ability to produce output, identifying bottlenecks caused by limited resources or lack of capacity.
Quality Control Analysis: A set of techniques used to manage and maintain the quality of output from a process, from inspection methods to statistical process control.
Cycle Time Analysis: The amount of time it takes to complete one cycle of a process, including all inputs and outputs, measured from start to finish.
Lean Assessment: A comprehensive analysis of a process to identify waste and inefficiency and identify opportunities for improvement, based on lean principles.
Simulation Analysis: A mathematical model used to predict how a process will perform under different conditions, and to identify potential problems or opportunities for improvement before they occur.
Failure Modes and Effects Analysis (FMEA): A method to analyze potential failure modes within a process and prioritize them by the severity of their potential impact and their likelihood of occurring.
Statistical Process Control (SPC): A technique used to monitor and control the quality of output from a process by tracking and analyzing data points over time.
Pareto Analysis: A technique used to identify the most significant causes of problems in a process, by analyzing the frequency of occurrences.
Six Sigma Analysis: A data-driven approach to analyzing and improving a process to reduce defects, improve quality, and increase customer satisfaction.
Kaizen Analysis: A continuous improvement methodology that involves small but incremental changes to a process to optimize it for efficiency and productivity.