Most of the earlier studies in the inventory control and management make assumption that the manufacturing system is reliable and does not fail. However, in the real industrial applications, there is no completely reliable manufacturing system; Machine failure occur and the production does not resume before repair. In this paper we will study and analyze the optimal lot size in a real productio...

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

The objective of this work is to present an improved inventory system with fuzzy constraints dealing two warehouses system-own and rented. In the model, we analyze under consideration without shortages assumptions linear demand function (increasing time). Generally, in today’s business scenario for sessional products, some like storage cost, deteriorating ordering cost change their original val...

Abstract The aim of this research work is to come out with an inventory model without shortages involving set-up cost and holding as imprecise variables. uncertainty chosen fuzzy number in triangularized form the graded mean integration method applied defuzzify parameters. effect defuzzification explained by analyzing for different input values through numerical examples.

A mixed 0-1 integer programming model of Combined Location Routing and Inventory Problem (CLRIP) with fuzzy random demand has been proposed in B2C E-commerce distribution environment. Demands of customers and distribution centers have been assumed to be fuzzy random variables.

In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy programming. The proposed method in this paper is applied to a problem with two objective functions. The resulted fuzzy model is transformed into an ordinary linear programming. The implementation of the developing model presented in this paper is demonstrated through the use of some numerical...