Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 8.2, Problem 21P
(a)
Summary Introduction
Interpretation: It is to be determined that the result obtained from lot-sizing technique is good.
Concept Introduction:
The lot sizing technique is a method which is used as a united method to calculate the net requirements of certain unit. During this technique cost reduction and work efficiency parameters are considered.
(b)
Summary Introduction
Interpretation: The difference in percentage resulted from the optimal solution is to be determined.
Concept Introduction:
The lot sizing technique is a method which is used as a united method to calculate the net requirements of certain unit. During this technique cost reduction and work efficiency parameters are considered.
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The production planner for Fine Coffees, Inc. produces two coffee blends: American (A) and British (B). He can only get 300 pounds of Colombian beans per week and 200 pounds of Dominican beans per week. Each pound of American blend coffee requires 12 ounces of Colombian beans and 4 ounces of Dominican beans, while a pound of British blend coffee uses 8 ounces of each type of bean. Profits for the American blend are $2.00 per pound, and profits for the British blend are $1.00 per pound. The goal of Fine Coffees, Inc. is to maximize profits.What is the constraint for Dominican beans?
Multiple Choice
12A + 8B ≤ 4,800.
8A + 4B ≤ 3,200.
8A + 12B ≤ 4,800.
4A + 8B ≤ 3,200.
4A + 8B ≤ 4,800.
#1- Maxwell Manufacturing makes two models of felt tip marking pens. Requirements and available resources for each lot of pens are given in the following table:
Fliptop Model
Tiptop Model
Available
Plastic
3
4
36
Ink Assembly
5
4
40
Molding Time
5
2
30
The profit for either model is $1,000 per lot.
a) What is the linear programming model for this problem?
b) Using Microsoft Excel's Solver, find the optimal solution. How many Fliptop models and how many Tiptop models should be produced? What is the maximum profit?
c) Will there be excess capacity in any resource?
Use Excel's Solver and run a sensitivity report to answer the following questions.
d) Over which range can the objective function coefficient for Fliptop Models change without affecting the original optimal solution? What is this range called?
e) What is the shadow price (dual price) for the plastic constraint and how would you interpret it?
f) What is the shadow price (dual price)…
Economic production quantity. This type of problem can be recognized when a production rate (p) Problem 2is given in addition to the basic EOQ information. Use Formula 13–5 to compute the optimal runquantity. Production (run) time is Q/p. Imax is (Q/p)(p – u). The time between the end of one run andthe start of the next is (Imax)/u – setup time.The Dine Corporation is both a producer and a user of brass couplings. The firm operates 220days a year and uses the couplings at a steady rate of 50 per day. Couplings can be produced at a rateof 200 per day. Annual storage cost is $2 per coupling, and machine setup cost is $70 per run.a. Determine the economic run quantity.b. Approximately how many runs per year will there be?c. Compute the maximum inventory level.d. What is the average inventory on hand?e. Determine the length of the pure consumption portion of the cycle
Chapter 8 Solutions
Production and Operations Analysis, Seventh Edition
Ch. 8.1 - Prob. 1PCh. 8.1 - Prob. 2PCh. 8.1 - Prob. 3PCh. 8.1 - Prob. 4PCh. 8.1 - Prob. 5PCh. 8.1 - Prob. 6PCh. 8.1 - Prob. 7PCh. 8.1 - Prob. 8PCh. 8.1 - Prob. 9PCh. 8.2 - Prob. 10P
Ch. 8.2 - Prob. 11PCh. 8.2 - Prob. 12PCh. 8.2 - Prob. 13PCh. 8.2 - Prob. 14PCh. 8.2 - Prob. 15PCh. 8.2 - Prob. 16PCh. 8.2 - Prob. 17PCh. 8.2 - Prob. 18PCh. 8.2 - Prob. 19PCh. 8.2 - Prob. 20PCh. 8.2 - Prob. 21PCh. 8.2 - Prob. 22PCh. 8.3 - Prob. 23PCh. 8.3 - Prob. 24PCh. 8.3 - Prob. 25PCh. 8.4 - Prob. 26PCh. 8.4 - Prob. 27PCh. 8.4 - Prob. 28PCh. 8.4 - Prob. 29PCh. 8.5 - Prob. 30PCh. 8.5 - Prob. 31PCh. 8.5 - Prob. 32PCh. 8.5 - Prob. 33PCh. 8.5 - Prob. 34PCh. 8.6 - Prob. 35PCh. 8.6 - Prob. 36PCh. 8.6 - Prob. 37PCh. 8.6 - Prob. 38PCh. 8.6 - Prob. 39PCh. 8.6 - Prob. 40PCh. 8 - Prob. 41APCh. 8 - Prob. 42APCh. 8 - Prob. 43APCh. 8 - Prob. 44APCh. 8 - Prob. 45APCh. 8 - Prob. 46APCh. 8 - Prob. 48APCh. 8 - Prob. 49APCh. 8 - Prob. 50APCh. 8 - Prob. 51AP
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