SL Company manufactures different varieties of chemical products utilized by photo-processors. It was bought out by a corporation recently. The managers have been assigned with the task of working jointly to manage the operations efficiently. The manager of a department is given a weekly financial plan of $11,980 for the manufacturingof three chemical products. The budget is for, paying the expenses of labor, materials, and so forth. The manager is looking at maximizing the contribution from the given resources. To determine: The new constraint for material A if there is a 5% waste factor. Introduction: Linear programming: Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking the various constraints present in the problem into consideration. It is useful in making quantitative decisions in business planning.

Question

By selecting Cigna Accredo pharmacy that i identify in my resand compare the current feedback system against the “Characteristics of a Good Multiple Source Feedback Systems” described in section 8-3-3. What can be improved? As a consultant, what recommendations would you make?

Answer 1

Question

Chapter 19, Problem 1.3CQ

Summary Introduction

Case summary:

SL Company manufactures different varieties of chemical products utilized by photo-processors. It was bought out by a corporation recently. The managers have been assigned with the task of working jointly to manage the operations efficiently.

The manager of a department is given a weekly financial plan of $11,980 for the manufacturingof three chemical products. The budget is for, paying the expenses of labor, materials, and so forth. The manager is looking at maximizing the contribution from the given resources.

To determine:The new constraint for material A if there is a 5% waste factor.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking the various constraints present in the problem into consideration. It is useful in making quantitative decisions in business planning.

Expert Solution & Answer

Trending nowThis is a popular solution!

See solution

Check out sample textbook solution

Students have asked these similar questions

By selecting Cigna Accredo pharmacy that i identify in my resand compare the current feedback system against the “Characteristics of a Good Multiple Source Feedback Systems” described in section 8-3-3. What can be improved? As a consultant, what recommendations would you make?

Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…

Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next month. Remember to select the forecasting technique that produces the forecast error nearest to zero. For example: a. Naïve Forecast is 230 and the Forecast Error is -15. b. 3-Month Moving Forecast is 290 and the Forecast Error is -75. c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93. d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64. e. Seasonal Forecast is 297 and the Forecast Error is -82. The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a -15. This forecasting technique was the best performing technique for that month. You do not need to do any external analysis-the forecast error for each strategy is already calculated for you in the tables below. Naïve Month Period Actual Demand Naïve Forecast Error 3- Month Moving Forecast 3- Month Moving…