OPTIMIZATION OF AN ECONOMIC GREEN MANUFACTURING INVENTORY MODEL USING FUZZY GEOMETRIC PROGRAMMING

The alarm of globalization is ringing in every corner of the world, the caution of environmental conservation sounds high in these days, and all these initiatives are the steps towards creating a pollution free society. It is not a day work rather it is a day by day work. The prime origin place of pollutants of all the forms is the industrial sectors who take the sole responsibility of product production to please their customers of wide range. These sectors cannot be blamed for disturbing the environmental conservation as because they are hurdled with many commitments towards their business administrators, clients and the government. In this commotional state the production process is bound to financial constraints which rank first among the rest. For a soothe functioning of the production sectors they have to set a balance between cost minimization, profit maximization and environmental sustainability for which an inventory model if formulated will result in optimal solution to their problem. In this paper the conventional aspect of Economic Manufacturing Quantity (EMQ) model is modified as Economic Green Manufacturing Quantity (EGMQ) Inventory Model and also fuzzy approach is applied to handle parameters of uncertainty. To determine the optimal order quantity Fuzzy Geometric Programming(FGP)is used for cost minimization and profit maximization with the inclusion of environmental conservation cost parameters, also using Zadeh’s extension principle , two main programs are transformed to a pair of two-level of mathematical programs.