Within scope of this paper there are presented quantitative methods – linear programming applied on problems defined by case study of Calgary Desk Company. In this paper is presented situation of CALDESCO Company in different scenarios of optimization of resources. Results vary from very satisfied and inspiring to very devastating. Three scenarios were developed in order to find best solution and create further recommendations. Linear equations were created and Lingo software was used for calculations. According to those three scenarios, we strongly recommend usage of Scenario 3 in order to have maximized capacities and maximized profit. Scenario 3 is not final solution and we can recommend some future adaptation of this scenario. This pape...
Article deals with the topic of Linear Programming application on tasks of allocating limited resour...
Published October 1998. Reviewed December 2013. Facts and recommendations in this publication may n...
the application of linear programming to optimization problems has wider acceptance and dominance to...
Most companies in the marble sector are planning and programming their production using portfolio of...
Most companies in the marble sector are planning and programming their production using portfolio of...
Linear programming is heavily used in microeconomics and company management, such as planning, produ...
Linear programming is heavily used in microeconomics and company management, such as planning, produ...
The purpose of the study is to highlight the effectiveness of linear programming in determination of...
Thesis (M.A.)--Boston UniversityA complex modern society has presented its managers with the need to...
This book aims to illustrate with practical examples the applications of linear optimization techniq...
Linear Programming is a quantitative method for finding the optimal solution when there are limitati...
In this paper, to study the applications of Linear Programming( The BIG M Method ) in Business probl...
The purpose of the article is to improve the study of such software products, as systems of the auto...
In this paper, to study the applications of Linear Programming( The BIG M Method ) in Business probl...
Work describes basic quantitative methods and their possible usage in IBM project management, it als...
Article deals with the topic of Linear Programming application on tasks of allocating limited resour...
Published October 1998. Reviewed December 2013. Facts and recommendations in this publication may n...
the application of linear programming to optimization problems has wider acceptance and dominance to...
Most companies in the marble sector are planning and programming their production using portfolio of...
Most companies in the marble sector are planning and programming their production using portfolio of...
Linear programming is heavily used in microeconomics and company management, such as planning, produ...
Linear programming is heavily used in microeconomics and company management, such as planning, produ...
The purpose of the study is to highlight the effectiveness of linear programming in determination of...
Thesis (M.A.)--Boston UniversityA complex modern society has presented its managers with the need to...
This book aims to illustrate with practical examples the applications of linear optimization techniq...
Linear Programming is a quantitative method for finding the optimal solution when there are limitati...
In this paper, to study the applications of Linear Programming( The BIG M Method ) in Business probl...
The purpose of the article is to improve the study of such software products, as systems of the auto...
In this paper, to study the applications of Linear Programming( The BIG M Method ) in Business probl...
Work describes basic quantitative methods and their possible usage in IBM project management, it als...
Article deals with the topic of Linear Programming application on tasks of allocating limited resour...
Published October 1998. Reviewed December 2013. Facts and recommendations in this publication may n...
the application of linear programming to optimization problems has wider acceptance and dominance to...