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Decisional balance sheet. A decisional balance sheet or decision balance sheet is a tabular method for representing the pros and cons of different choices and for helping someone decide what to do in a certain circumstance. It is often used in working with ambivalence in people who are engaged in behaviours that are harmful to their health (for ...
Weighted sum model. In decision theory, the weighted sum model ( WSM ), [ 1][ 2] also called weighted linear combination ( WLC) [ 3] or simple additive weighting ( SAW ), [ 4] is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a ...
In business and project management, a responsibility assignment matrix [1] ( RAM ), also known as RACI matrix [2] ( / ˈreɪsi /) or linear responsibility chart [3] ( LRC ), is a model that describes the participation by various roles in completing tasks or deliverables [4] for a project or business process. RACI is an acronym derived from the ...
Analytic hierarchy process. A simple AHP hierarchy, with final priorities. The goal is to select the most suitable leader from a field of three candidates. The factors to be considered are experience, education, charisma, and age. According to the judgments of the decision makers, Dick is the strongest candidate, followed by Tom, then Harry.
Queueing theory is one of the major areas of study in the discipline of management science. Through management science, businesses are able to solve a variety of problems using different scientific and mathematical approaches. Queueing analysis is the probabilistic analysis of waiting lines, and thus the results, also referred to as the ...
The Supply Chain Operations Reference ( SCOR) model is a process reference model originally developed and endorsed by the Supply Chain Council, now a part of ASCM, as the cross-industry, standard diagnostic tool for supply chain management. [ 1] The SCOR model describes the business activities associated with satisfying a customer's demand ...
Sensitivity analysis. Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. A related practice is uncertainty analysis, which has a greater focus on uncertainty quantification and ...
Canonical model. A canonical model is a design pattern used to communicate between different data formats. Essentially: create a data model which is a superset of all the others ("canonical"), and create a "translator" module or layer to/from which all existing modules exchange data with other modules. The canonical model acts as a middleman.