MCDM'25 - paper no. 6
APPLICATIONS OF SENSITIVITY ANALYSIS IN MULTI-OBJECTIVE LINEAR PROGRAMMING PROBLEMS
Sebastian Sitarz
Abstract:
The paper presents multi-objective linear programming problems and analyzes the sensitivity of their efficient solutions. The aim is to apply sensitivity analysis methods to real-life problems. The novelty of this work is based on the integration of results from the following fields: sensitivity analysis theory, multi-objective optimization and real-life problems. The contribution is the development of potential applications for three approaches: the tolerance approach, the standard approach and the range set approach. The proposed methodology is demonstrated using four examples: the transportation problem, the project management problem, the manufacturing problem and the diet problem.
Keywords:
multi-objective linear programming (MOLP), sensitivity analysis (SA), transportation problem, project management, diet problem, manufacturing problem
Reference index:
Sebastian Sitarz, (2025), APPLICATIONS OF SENSITIVITY ANALYSIS IN MULTI-OBJECTIVE LINEAR PROGRAMMING PROBLEMS, Multiple Criteria Decision Making (19), pp. 123-137
Full text:
download
This article is licensed under a Creative Commons Atribution- NonCommercial International License .