Open AccessEco Friendly Closed Loop Supply Chain Model Under Fuzzy Conditions
Author(s) -
Manila Reddy Madhuri,
N. Ravi Shankar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d8129.118419
Subject(s) - profit maximization , fuzzy logic , supply chain , profit (economics) , environmentally friendly , business , customer satisfaction , computer science , maximization , operations research , operations management , environmental economics , marketing , mathematical optimization , microeconomics , economics , mathematics , artificial intelligence , ecology , biology
Profits of a business organization can be sustained in the long term when the organization focus on environmental benefits and customer satisfaction along with company’s financial benefit. Customer satisfaction index (CSI) can be increased with minimization of the product delivery time and maximization of the quality. Reduction of carbon emission during product manufacture/remanufacture process contributes to the environmental benefit of the organization. The proposed model is a multi-objective, multi-stage, multi-product ecofriendly closed loop supply chain linear programming problem with four objective functions and various constraints under fuzzy environment. A sub model is formulated as an application to an automobile dealership company in Visakhapatnam, India and an experimental study is done using actual data from the company. Profit margin on sale and service of three types (Type P1 , P2and P3 ) of new cars and sale of two types (Type A and B) of old cars are calculated. From the result analysis we can conclude that increase in the sale of new cars of type P1 and old cars of type A increases the profit margin of the company.