Practical Management Science
5th Edition
ISBN: 9781305250901
Author: Wayne L. Winston, S. Christian Albright
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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Determine how many products to ship from each factory to each warehouse, or from each factory to
each warehouse and direct to each end customer, to minimize shipping cost while meeting warehouse
demands and not exceeding factory supplies
Explain the above scenario using the problem given below:
Warehouse
Capucity
Factory
w,
W,
W.
(Supply)
21
16
25
13
F.
F,
17
18
14
23
13
32
27
18
41
19
Requirement 6
(Demand)
10
12
15
43
Use least cost Method to solve the problem.
Using Transportation method
Give typed full explanation
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.
Transportation costs are as follows:
Portland to Lake Tahoe: $10 per pair of skis; Portland to Whistler: $5 per pair of skis.
Toronto to Lake Tahoe: $20per pair of skis; Toronto to Whistler: $10 per pair of skis.
(a) You want to ship as many skis as you can filling all the orders and yet, you want to minimize your costs. If so, how many skis should be shipped from each manufacturing plant to each…
Chapter 5 Solutions
Practical Management Science
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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