Results found: 2

Search results

Search:
in the keywords: Ordered Fuzzy Numbers

Sort By:

Limit search:

Optimizing of a Company’s Cost under Fuzzy Data and Optimal Orders Under Dynamic Conditions

100%

Sobol I., Kacprzak D., Kosiński W.

Optimum. Studia Ekonomiczne

2014

vol. 5(71)

The purpose of this article is to suggest tools of inventory management which would determine economically optimal order quantities. One of them is based on the so-called fixed order quantity model which takes into account several elements of inventory cost, such as ordering cost, transportation and storing cost, frozen capital cost, as well as extra discounts. The tool is based on fuzzy concepts represented by Ordered Fuzzy Numbers. The second tool takes into account the dynamics and works on the basis of replenishment system. This tool can be treated as a kind of controller. Examples of using this tools are presented.

Optimizing Firm Inventory Costs as a Fuzzy Problem

100%

Kacprzak D., Kosiński W.

Studies in Logic, Grammar and Rhetoric

2014

vol. 37

issue 1

89-105

The fixed order quantity model of inventory management system is used in the deterministic part. Several elements of inventory cost, such as ordering cost, transportation and storing costs, frozen capital cost, as well as extra rebates, are taken into account in the model. Then the fuzzy optimization problem for the total cost function is formulated within the space of Ordered Fuzzy Numbers when all variables of the model are fuzzy. After the choice of a particular defuzzification functional an appropriate theorem is formulated which gives the solution of the problem.

Refine search results

1 Optimum. Studia Ekonomiczne

1 Studies in Logic, Grammar and Rhetoric

2 Kacprzak D.

2 Kosiński W.

1 Sobol I.

2 2014

Search results

Optimizing of a Company’s Cost under Fuzzy Data and Optimal Orders Under Dynamic Conditions

Optimizing Firm Inventory Costs as a Fuzzy Problem