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please answer all the questions pleeeeeease answer all the questions method to achieve the outcome muchas samprot or lowest cost in a mathematical model were

please answer all the questions
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pleeeeeease answer all the questions
image text in transcribed
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method to achieve the outcome muchas samprot or lowest cost in a mathematical model were med bar mationship mpy one or more matematical models that rely on was under consties to forecast demand vocate anged in to quit the point of making incomect choice is based decision BOL on how to monde procese coco Choo af heges of a concedge weighed diected that comes the stone without any yes we imposible total co the art and one of predicting future events Dus more were on recent data and son poslat Tacone by upreden bars pe by a wong Forg Day Cho Content the previous date informing the combina over employ www open LP hence nato Log The correttore cea that to the op w Is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships Choose... employ one or more mathematical models that rely on historical data and/or causal variables to forecast demand. Qualitative Forecasts 1 is a technique used is to quantify the potential loss of making an incorrect choice in risk-based decision EOL . incorporate such factors as the decision maker's intuition, emotions, personal experiences, and value system. Qualitative Forecasts is a specialized linear programming solution procedure which develops an opportunity cost matrix for assigning particular jobs. Assignment model Is a subset of the edges of a connected, edge-weighted undirected graph that connects all the vertices together, without any cycles and with the minimum possible total edge weight Choose... 4) is the art and science of predicting future events. Forecasting puts more weight on recent data and less on past data. This is done by multiplying each bar's price by a weighting factor Weighted moving average . Calculating the mean of the previous data Choose... An approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted x is Linear Programming In decision theory is the price that one would be willing to pay in order to gain access to perfect information EVPI . is the mathematical study of the congestion and delays of waiting in line. Linear Programming Constraints Forecasting plays an important role in The linear function representing cost, profit or some other quantity to be maximized or minimized subject to the constraints Objective function . The solution to the system of linear inequalities, Linear Programming . Non Negativity Constraint - The linear inequalities that are derived from the application The linear inequalities x, y2 0. These are included because x and y are usually the number items produced and you cannot produce a negative number of items. Non Negativity Constraint. is how much money you can expect to make from a certain decision. EMV 4) only occurs at a vertex of the feasible The region. corner point . he Objective function duced ns. Choose... Constraints budgeting and cost control Moving average EMV Simple average Queuing model Networking model EOL corner point EVPI Linear Programming Non Negativity Constraint Assignment model Qualitative Forecasts Weighted moving average Linear Regression Feasible region Forecasting Objective function a sible

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