Optimization Techniques in Engineering
by Anita Khosla, Prasenjit Chatterjee, Ikbal Ali, Dheeraj Joshi
21Solution of a Pollution-Based Economic Order Quantity Model Under Triangular Dense Fuzzy Environment
Partha Pratim Bhattacharya1*, Kousik Bhattacharya2, Sujit Kumar De2, Prasun Kumar Nayak2, Subhankar Joardar3 and Kushankur Das3
1Department of Computer Science and Engineering, MAKAUT, W.B., India
2Department of Mathematics, Midnapore College (Autonomous), India
3Department of Computer Science & Engineering, Haldia Institute of Technology, W.B., India
Abstract
In this chapter, the main issue is environmental pollution, which considers pollution-sensitive economic order quantity (EOQ) model for several items under so many styles of organized via triangular dense fuzzy environment. Here, we constructed a new pollution function via this model, then we have discussed about a substantive case study in a sponge iron industry. We have proposed an EOQ model where we applied the cost minimization technique depending on environmental pollution. The fuzzy model parameters develop a triangular dense fuzzy mathematical model by stirring the demand rate and all cost items of the inventory management system as triangular dense fuzzy numbers. We reorganized the introduced model and analyzed it with an old methodology. This model has been investigated using crisp and triangular dense fuzzy. Finally, we get numerical results when the inventory cost function reaches its minimum. LINGO software and MATLAB software have been used to draw various graphs and numerical illustrations. At last, we ...
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