OPERATIONS MANAGEMENT CUSTOM ACCESS
OPERATIONS MANAGEMENT CUSTOM ACCESS
11th Edition
ISBN: 9780135622438
Author: KRAJEWSKI
Publisher: PEARSON EDUCATION (COLLEGE)
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Chapter D, Problem 9P

A

Summary Introduction

Interpretation:The best linear equations that show evidence of the objective functions and constraints in the given situation should be determined.

Concept Introduction: While the plant manager has the option to use two different routes; the route 1 uses Extruder A and the route 2 uses B extruder. The process of melting is used for both the routings.

B

Summary Introduction

Interpretation: A graphical solution based on the give data and formulated linear equations should be provided.

Concept Introduction: While the plant manager has the option to use two different routes; the route 1 uses Extruder A and the route 2 uses B extruder. The process of melting is used for both the routings.

C

Summary Introduction

Interpretation:The maximum profit that can be obtained from the given data is to be determined.

Concept Introduction: While the plant manager has the option to use two different routes; the route 1 uses Extruder A and the route 2 uses B extruder. The process of melting is used for both the routings.

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Macon Controls produces three different types of control units used to protect industrial equipment from overheating. Each of these units must be processed by a machine that Macon considers to be their process bottleneck. The plant operates on two 8-hour shifts, 5 days per week, 52 weeks per year. The table below provides the time standards at the bottleneck, lot sizes, and demand forecasts for the three units. Because of demand uncertainties, the operations manager obtained three demand forecasts (pessimistic, expected, and optimistic). The manager believes that a 30 percent capacity cushion is best. Time Standard Demand Forecast Setup (hr/lot) Lot Size Processing (hr/unit) Component Pessimistic Expected Optimistic (units/lot) A 0.05 1.0 50 16,000 16,000 27,000 В 0.30 4.6 80 11,000 12,000 17,000 C 0.05 8.3 100 16,000 23,000 35,000 a. How many machines are required to meet minimum (Pessimistic) demand, expected demand, and maximum (Optimistic) demand? (Enter your responses rounded up…
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