Practical Management Science, Loose-leaf Version
5th Edition
ISBN: 9781305631540
Author: WINSTON, Wayne L.; Albright, S. Christian
Publisher: Cengage Learning
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Chapter 5, Problem 68P
Summary Introduction
To determine: The way to minimize the sum of purchasing and shipping cost.
Introduction: In linear programming, unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be unfeasible solution.
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The Summer Outdoor Furniture Company produces wooden lawn chairs. The annual demandfrom its store customers is 17,400 chairs per year. The transport and handling costs are $2,600each time a shipment of chairs is delivered to stores from its warehouse. The annual carryingcost is $3.75 per chair. The company is thinking about relocating its warehouse closer to its customers, which would reduce transport and handling costs to $1,900 per order but increase carrying costs to $4.50 per chair per year. Should the company relocate based on inventory costs?
Determine how many products to ship from each factory to each warehouse, or from each factory to
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Warehouse
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Factory
w,
W,
W.
(Supply)
21
16
25
13
F.
F,
17
18
14
23
13
32
27
18
41
19
Requirement 6
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10
12
15
43
Use least cost Method to solve the problem.
Using Transportation method
The Awesome Skis Company has manufacturing plants in Portland, Oregon and Toronto, Ontario. You have been given the job of coordinating distribution of the latest model, the Superslide, to outlets in Lake Tahoe and Whistler. The Portland plant, when operating at full capacity, can manufacture 620 pairs Superslide skis per week, while the Toronto plant, beset by labor disputes, can produce only 410 pair of skis per week. The outlet in Lake Tahoe orders at least 500 pairs Superslide skis per week, while Whistler orders at least 530 pairs of skis per week.
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Chapter 5 Solutions
Practical Management Science, Loose-leaf Version
Ch. 5.2 - Prob. 1PCh. 5.2 - Prob. 2PCh. 5.2 - Prob. 3PCh. 5.2 - Prob. 4PCh. 5.2 - Prob. 5PCh. 5.2 - Prob. 6PCh. 5.2 - Prob. 7PCh. 5.2 - Prob. 8PCh. 5.2 - Prob. 9PCh. 5.3 - Prob. 10P
Ch. 5.3 - Prob. 11PCh. 5.3 - Prob. 12PCh. 5.3 - Prob. 13PCh. 5.3 - Prob. 14PCh. 5.3 - Prob. 15PCh. 5.3 - Prob. 16PCh. 5.3 - Prob. 17PCh. 5.3 - Prob. 18PCh. 5.4 - Prob. 19PCh. 5.4 - Prob. 20PCh. 5.4 - Prob. 21PCh. 5.4 - Prob. 22PCh. 5.4 - Prob. 23PCh. 5.4 - Prob. 24PCh. 5.4 - Prob. 25PCh. 5.4 - Prob. 26PCh. 5.4 - Prob. 27PCh. 5.4 - Prob. 28PCh. 5.4 - Prob. 29PCh. 5.5 - Prob. 30PCh. 5.5 - Prob. 31PCh. 5.5 - Prob. 32PCh. 5.5 - Prob. 33PCh. 5.5 - Prob. 34PCh. 5.5 - Prob. 35PCh. 5.5 - Prob. 36PCh. 5.5 - Prob. 37PCh. 5.5 - Prob. 38PCh. 5 - Prob. 42PCh. 5 - Prob. 43PCh. 5 - Prob. 44PCh. 5 - Prob. 45PCh. 5 - Prob. 46PCh. 5 - Prob. 47PCh. 5 - Prob. 48PCh. 5 - Prob. 49PCh. 5 - Prob. 50PCh. 5 - Prob. 51PCh. 5 - Prob. 52PCh. 5 - Prob. 53PCh. 5 - Prob. 54PCh. 5 - Prob. 55PCh. 5 - Prob. 56PCh. 5 - Prob. 57PCh. 5 - Prob. 58PCh. 5 - Prob. 59PCh. 5 - Prob. 60PCh. 5 - Prob. 61PCh. 5 - Prob. 62PCh. 5 - Prob. 63PCh. 5 - Prob. 64PCh. 5 - Prob. 65PCh. 5 - Prob. 66PCh. 5 - Prob. 67PCh. 5 - Prob. 68PCh. 5 - Prob. 69PCh. 5 - Prob. 70PCh. 5 - Prob. 71PCh. 5 - Prob. 72PCh. 5 - Prob. 73PCh. 5 - Prob. 74PCh. 5 - Prob. 75PCh. 5 - Prob. 76PCh. 5 - Prob. 77PCh. 5 - Prob. 80PCh. 5 - Prob. 81PCh. 5 - Prob. 82PCh. 5 - Prob. 83PCh. 5 - Prob. 85PCh. 5 - Prob. 86PCh. 5 - Prob. 87PCh. 5 - Prob. 2C
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