Abstract
One of the most common tools for achieving optimization and adequate production process management is linear programming (LP) in various forms. However, there are specific cases of the application of linear programming when production optimization implies several potential solutions instead of one. Exactly such a problem is solved in this paper, which integrates linear programming and a Multi-Criteria Decision-Making (MCDM) model. First, linear programming was applied to optimize production and several potential solutions lying on the line segment AB were obtained. A list of criteria was created and evaluated using the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA). To obtain the final solution, a novel Rough compromise ranking of alternatives from distance to ideal solution (R-CRADIS) method was developed and verified through comparative analysis. The results show that the integration of linear programming and a Fuzzy-Rough MCDM model can be an exceptional solution for solving specific optimization problems.
Subject
Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis
Reference25 articles.
1. Production Optimization in a Grain Facility through Mixed-Integer Linear Programming
2. An analysis of modeling and optimization production cost through fuzzy linear programming problem with symmetric and right angle triangular fuzzy number;Chandrawat,2017
3. The Impact of Innovation on the Management of Misapplication of Change in the Production System in the Automotive Industry;Pop;Econ. Innov. Econ. Res. J.,2022
4. A linear programming-driven MCDM approach for multi-objective economic dispatch in smart grids;Lazzerini;Proceedings of the 2015 SAI Intelligent Systems Conference (IntelliSys),2015
5. Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study
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