Journals / Trakya Üniversitesi Bilimsel Araştırmalar Dergisi B Serisi Fen Bilimleri / 2002 / Cilt: 3 - Sayı: 1

Vectoral analyses of linear programming problems and their economical commentries

Lineer programlama problemlerinin vektörel analizi ve ekonomik yorumları

Pages
29–38
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This is allocation problem and operations research allocation techniques determine ways of allocating resources to activities or products so that some measure of overall efficiency is optimized.In operations research work, mathematical programming is the most powerful method of finding such solutions, and the most commonly used type of mathematical programming is linear programming.

📌 3 Key Takeaways

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Objective & Hypothesis:Given that a number of activities are to be performed a number of products are to be produced and that the group of activities or products draw on a common bank of resources : if the amount of resources or the ways in which thay may be used are restricted, it may be impossible to perform each single activity or produce each single product in the most efficient way.
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Key Findings & Data:Given that a number of activities are to be performed a number of products are to be produced and that the group of activities or products draw on a common bank of resources : if the amount of resources or the ways in which thay may be used are restricted, it may be impossible to perform each single activity or produce each single product in the most efficient way.
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Conclusion & Impact:This is allocation problem and operations research allocation techniques determine ways of allocating resources to activities or products so that some measure of overall efficiency is optimized.In operations research work, mathematical programming is the most powerful method of finding such solutions, and the most commonly used type of mathematical programming is linear programming.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Given that a number of activities are to be performed a number of products are to be produced and that the group of activities or products draw on a common bank of resources : if the amount of resources or the ways in which thay may be used are restricted, it may be impossible to perform each single activity or produce each single product in the most efficient way. This is allocation problem and operations research allocation techniques determine ways of allocating resources to activities or products so that some measure of overall efficiency is optimized.In operations research work, mathematical programming is the most powerful method of finding such solutions, and the most commonly used type of mathematical programming is linear programming.

Özet

Bir kaynaklar bankasından çekilerek icra edilecek bir miktar faaaliyet veya üretilecek bir miktar ürünler grubu verilmiş olsun. Eğer kaynakların miktarı veya kullanılacak yollar kısıtlanmış ise herbir faaliyeti icra etmek veya herbir ürünü verimli bir şekilde üretmek imkânsız olabilir. Bu bir tahsis problemidir ve yöneylem araştırması tahsis teknikleri faaliyetlere veya ürünlere kaynakların tahsis yollarını genel etkinliğe ilişkin bazı ölçümlerin optimizasyonunu sağlayacak şekilde belirler. Yöneylem araştırması işlerinde böylesine çözümleri bulmada en güçlü yöntem matematik programlama ve kullanılan matematik programlama tipi ise lineer programlamadır.

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Cite This Article

YÜCEL, Y. (2002). Vectoral analyses of linear programming problems and their economical commentries. Trakya Üniversitesi Bilimsel Araştırmalar Dergisi B Serisi Fen Bilimleri, Cilt: 3 - Sayı: 1, 29–38. https://ajindex.com/articles/368328

References (2)

  1. Beale E.M.L Mathematical Programming in Practice, Pitman, 1968. 2-Bazarra M. –Jarvis J. J.– Sherali H. D. Linear programming And Network Flows, John Wiley & Sons 1990. 3-Hadley G. Linear Programming, Addison-Wesley, 1973. 4-Orchhard-Hays W. Advanced Linear Programming,McGraw-Hill, 1968. 5-Gass S. I. Linear Programming Methods & Applications 4’th Ed., 1975
  2. McGraw Hill-Kogakusha, Tokyo. 6-Hillier F. S. – Lieberman G. J. Operations Researh 2’nd Ed., Holden-Day Inc., 1974, San Francisco. 7-Taha H. A. Operations Researh An Introduction 6’th Ed., Prentice-Hall Inc. 1997, N.J. 8-Tulunay Y. Matematik Programlama ve İşletme Uygulamaları, İst. Ün. İşletme Fak Yay. No:108, İstanbul, 1980. 9-Walsh G.R. An Introduction to Linear Programming Holt, Rinehart and Winston, 1971.