Open AccessDeveloping Mathematical Models and Methodologies to Overcome Lean Strategy Selection and Leanness Assessment Problems
Author(s) -
RAKHI ASHOK DESHPANDE,
DR. P. VENKATA CHALAPATHI
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d6474.088619
Subject(s) - lean manufacturing , computer science , benchmark (surveying) , lean project management , selection (genetic algorithm) , manufacturing engineering , work (physics) , process management , business , engineering , artificial intelligence , mechanical engineering , geodesy , geography
This investigation inspects the impact of lean strategies among chose manufacturing organizations. In orderto remain focused; creating cheaper products at a quicker rate Lean Manufacturing would encourage the business. In this paper we discuss about adopting lean strategies by manufacturing industries with the intention of eliminating wastes. Here we create mathematical models and a systematic methodology for choosing fitting lean strategies. The main objectives of this paper are to assess the leanness levels in manufacturing organizations. In the work we will evaluate both quantitative and subjective info factors. Different tools like MATLAB, Microsoft Access and Excel, Visual Basic, DST tool will be used for developing mathematical models and methodologies to overcome lean strategy selection and leanness assessment problems. As a result we try to limit the conceivable disarray of executing different lean strategies which can be utilized by any manufacturer for surveying leanness and distinguishing their leanness benchmark Accordingly, we suggest that manufacturing firms nearby different types of organizations (benefit firms comprehensive) ought to receive lean reasoning, introduction or culture to dispense with wasteful practices in this way clearing a path for best practices that can attract main concern for the organizations.