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Published Paper Details:
Product Refurbishment Optimization Using Multi-Period Model Integrated Fuzzy Controller
Authors
Aravind P V,Dr. Boby K. George
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Keywords
Optimization, Refurbishment, Fuzzy controller, Sustainability
Abstract
Product refurbishment is one of the most profitable and environmental benefit processes, drawing more and more attention from both product manufacturers and customers. Reverse Logistics (RL) is the basis of the process that returning products from their consumer destination to capture their value or proper disposal. The RL process is inherently a value-added activity in which the values of previously shipped parts, materials and products are recaptured. The RL operations, therefore, add significantly to the value chain by considering the reverse flow that is capable of adding value to the products and generating a competitive advantage for companies. This research project focuses and optimizes the process of product refurbishment, considering inventories and uncertainties. A multi-period model is established. To deal with the uncertainties, an innovative fuzzy controller embedded with a quality indicator is proposed. Fuzzy controllers have been proposed for physical systems which do not lend themselves to easy and accurate mathematical modeling and crisp variables, and therefore, cannot be tackled by traditional strictly analytic control design techniques. Instead, control variables are represented by fuzzy variables which let the level of uncertainty of the variables be modelled in a systematic way. Numerical experiments have been carried out to test and demonstrate the optimization quality of the proposed method. The generic model prepared is further taken into apply in a selected industry. The objective in this paper is to give a comparative review of these resources and techniques, and introduce the reader to the state of knowledge in fuzzy controller design research and education in subjects such as fuzzy set theory, fuzzy logic, fuzzy ruled based expert opinions. The results of numerical experiments proved the effectiveness of the proposed fuzzy controller that can deal with the uncertainties of supply and demand in an efficient way. Hence to suggest an effective way to optimize the total cost, this framework helps to determine the total cost and factors and how the return process of products/parts works. Also the managerial implications and future research directions are provided.
IJCRT's Publication Details
Unique Identification Number - IJCRT2111321
Paper ID - 239765
Author type - Indian Author
Page Number(s) - c834-c841
Pubished in - Volume 9 | Issue 11 | November 2021
DOI (Digital Object Identifier) -
No Of Downloads - 83
Author Country - India, 680010, Viyyur, Viyyur, 680010, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Aravind P V,Dr. Boby K. George, "Product Refurbishment Optimization Using Multi-Period Model Integrated Fuzzy Controller", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.c834-c841, November 2021, Available at :http://www.ijcrt.org/papers/IJCRT2111321.pdf
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