EBK OM
EBK OM
6th Edition
ISBN: 9781305888210
Author: Collier
Publisher: YUZU
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Chapter 13, Problem 7PA

a

Summary Introduction

Interpretation: Production schedule, inventory and monthly labor requirement.

Concept Introduction:

Economic Order Quantity (EOQ) model aims at minimizing the cost of a production unit of a business facility. It aims to define the optimal quantity so that there is a balance between order and carrying cost. This model gives an approximate result rather than guaranteeing it. Carrying cost is determined by management of business unit

b

Summary Introduction

Interpretation:

Production schedule, inventory and monthly labor requirement when constraint is changed for labor.

Concept Introduction:

Economic Order Quantity (EOQ) model aims at minimizing the cost of a production unit of a business facility. It aims to define the optimal quantity so that there is a balance between order and carrying cost. This model gives an approximate result rather than guaranteeing it. Carrying cost is determined by management of business unit

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A forecast of 240 units in January, 320 units in February, and 240 units in March has been approved for the seismic-sensory product family manufactured at the Rockport facility of Maryland Automated, Inc. Three products, A, B, and C, comprise this family. The product mix ratio for products A, B, and C for the past 2 years has been 35 percent, 40 percent,and 25 percent, respectively. Management believes that the monthly forecast requirements are evenly spread over the 4 weeks of each month. Currently, 10 units of product C are on hand. The company produces product C in lots of 40, and the lead time is 2 weeks. A production quantity of 40 units from the previous period is scheduled to arrive in week 1. Thecompany has accepted orders of 25, 12, 8, 10, 2, and 3 units of product C in weeks 1 through 6, respectively. Prepare a prospective MPS for product C and calculate the availableto-promise inventory quantities.
PROBLEM 2:The manager of a large manufacturer of industrial pumps prepare forecasts for a six- month period.  Month Demand Forecast     1     492               488     2     470   484     3     485               480     4     493               490     5     498               497     6                 492   493 Required: Compute for the MAD, MSE, and MAPE.
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