你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Strategic Allocation of Resources Using Linear Programming Model With Parametric Analysis: In Matlab and Excel Solver: Strategic Allocation of. Programming Model With Parametric Analysis:
Type
Physical Book
Publisher
Author
Language
English
Pages
76
Format
Paperback
ISBN13
9783954892808

Strategic Allocation of Resources Using Linear Programming Model With Parametric Analysis: In Matlab and Excel Solver: Strategic Allocation of. Programming Model With Parametric Analysis:

Dinesh Gupta (Author) · Anchor Academic Publishing · Paperback

Strategic Allocation of Resources Using Linear Programming Model With Parametric Analysis: In Matlab and Excel Solver: Strategic Allocation of. Programming Model With Parametric Analysis: - Dinesh Gupta

Cheaper New Book Imported to Taiwan
Delivery: 15 Oct - 23 Oct Shipping: 13 to 14 business days.
NT$ 1,890
Faster New Book Imported to Taiwan
Delivery: 05 Oct - 13 Oct Shipping: 5 to 6 business days.
NT$ 2,693
NT$ 1,890

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Strategic Allocation of Resources Using Linear Programming Model With Parametric Analysis: In Matlab and Excel Solver: Strategic Allocation of. Programming Model With Parametric Analysis:"

Since the late 1940s, linear programming models have been used for many different purposes. Airline companies apply these models to optimize their use of planes and staff. NASA has been using them for many years to optimize their use of limited resources. Oil companies use them to optimize their refinery operations. Small and medium-sized businesses use linear programming to solve a huge variety of problems, often involving resource allocation. In my study, a typical product-mix problem in a manufacturing system producing two products (each product consists of two sub-assemblies) is solved for its optimal solution through the use of the latest versions of MATLAB having the command simlp, which is very much like linprog. As analysts, we try to find a good enough solution for the decision maker to make a final decision. Our attempt is to give the mathematical description of the product-mix optimization problem and bring the problem into a form ready to call MATLAB's simlp command. The objective of this study is to find the best product mix that maximizes profit. The graph obtained using MATLAB commands, give the shaded area enclosed by the constraints called the feasible region, which is the set of points satisfying all the constraints. To find the optimal solution we look at the lines of equal profit to find the corner of the feasible region which yield the highest profit. This corner can be found out at the farthest line of equal profit, which still touches the feasible region. The most critical part is the sensitivity analysis, using Excel Solver, and Parametric Analysis, using computer software, which allows us to study the effect on optimal solution due to discrete and continuous change in parameters of the LP model including to identify bottlenecks. We have examined other options like product outsourcing, one-time cost, cross training of one operator, manufacturing of hypothetical third product on under-utilized machines and optimal sequencing of jobs on machine

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews