Technical performance measures predict and manage output, measuring productivity, risk, constraints, accuracy, and technical benchmarks. Resources are allocated and scheduled for synchronization, and resource load charts visually illustrate technical performance. Multivariate or combinatorial analysis assesses the impact of various variables on a production schedule. Technical performance measures can operate in a work environment, adjusting and leveling the workload or schedule to eliminate downtime. Changes in design, personnel, or equipment are considered, and costs, productivity, and scheduling are given a measure of weight to optimize technical performance.
A technical performance measure is a formal mathematical approach to predicting and managing output. Managers use a technical performance measure to measure productivity, risk, constraints, accuracy, and technical benchmarks. It can be applied on an individual project basis or used to measure an ongoing production system. A technical performance measure may also be called a business performance measure.
Anything that contributes to productive work, such as a person, knowledge, or equipment, is considered a resource. These elements are allocated and scheduled to achieve synchronization of resources along a production or product development schedule. This is called leveling, because in the ideally efficient organization, each resource is leveled together with the other resources according to start and end dates in a bar chart.
Resource load charts visually illustrate a measure of technical performance along a timeline, illustrating which tasks depend on others to get work done properly. Tasks that depend on other tasks are usually detailed on a Gantt chart, which uses horizontal lines to illustrate these dependencies. Fixing variables and adjusting production to constraints are part of a technical performance assessment.
A measure of technical performance may involve multivariate or combinatorial analysis. Both measures assess the impact of various variables on a production schedule. Combinatorial considers the dynamics of groups of people and processes interacting in an enterprise. A multivariate analysis looks at each variable individually.
A company plans to design a prototype and then move it into mass production. A design engineer may work as part of a team that includes a product designer, researcher, and quality control manager. This is an illustration of how technical performance measures can operate in a work environment.
At various stages in the process, one aspect of the designer’s work would be dependent on the researcher, and the QA manager’s work would be dependent on the designer. A Gantt chart might show that a dependent trio member is idle an average of 20% of the time while waiting for another team member to complete a task. By applying statistical analysis to dependencies, a manager can make adjustments and level the workload or schedule to eliminate downtime.
When changes occur in product design, personnel or equipment due to constraints, a measure of technical performance considers the risk that the change creates. In a technical performance measurement system, costs, productivity, and scheduling are given a measure of weight that corresponds to how many resources these factors consume respectively. To optimize technical performance, a manager would assign weight to each factor. Combinatorial or multivariate measures can then be used to reassign more or less weight to each factor in the process.
Asset Smart.
Protect your devices with Threat Protection by NordVPN
