Multi-item EOQ inventory model with varying holding cost under two restrictions: A geometric programming approach

1997 ◽  
Vol 8 (6) ◽  
pp. 608-611 ◽  
Author(s):  
M. O. Abou-El-Ata ◽  
K. A. M. Kotb
2017 ◽  
Vol 8 (2) ◽  
pp. 299
Author(s):  
Sahidul Islam ◽  
Wasim Akram Mandal

In this paper, an Inventory model with unit production cost, time depended holding cost, with-out shortages is formulated and solved. We have considered here a single objective inventory model. In most real world situation, the objective and constraint function of the decision makers are imprecise in nature, hence the coefficients, indices, the objective function and constraint goals are imposed here in fuzzy environment. Geometric programming provides a powerful tool for solving a variety of impreciseoptimization problem. Here we have used nearest interval approximation method to convert a triangular fuzzy number to an interval number then transform this interval number to a parametric interval-valued functional form and solve the parametric problem by geometric programming technique. Here two necessary theorems have been derived. Numerical example is given to illustrate the model through this Parametric Geometric-Programming method. 


2006 ◽  
Vol 173 (1) ◽  
pp. 199-210 ◽  
Author(s):  
Nirmal Kumar Mandal ◽  
Tapan Kumar Roy ◽  
Manoranjan Maiti

Author(s):  
Neha Kumari ◽  
A. P. Burnwal

Purpose of study: Main aim of this study is to deals with the problem of inventories. Their holding cost, set-up cost, and many more related to that. All the problems are flexible and having fuzzy nature. Methodology: The model takes the form of a Geometric Programming problem. Hence geometric programming algorithm is used here. Main Finding: The developed models may be used for a single item with a single constraint of limitation on storage area and multi-item inventory problems. Application of this study: This study is useful in the area of inventories. There holding cost and set-up cost etc. The originality of this study: This study may help the stockholders for storing goods and minimizing the cost of holding.


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