Applications of the MOORA method for Manufacturing Environment

Abstract

This abstract offers a succinct but thorough summary of the industrial environment, emphasising important elements including productivity, technological integration, quality control, and supply chain management. The MOORA approach is introduced as a useful tool for decision-making in the industrial setting, helping producers to make knowledgeable decisions and optimise their operations to meet the needs of a competitive market. The manufacturing environment is a complicated and ever-changing setting where final goods are created through organised procedures from raw materials. This environment’s key element is productivity, innovation in technology, quality assurance, and efficient supply chain management. Manufacturers may pursue excellence and satisfy changing market expectations by comprehending and using these ideas. The industrial environment's critical influence on the effectiveness, productivity, and competitiveness of manufacturing industries accounts for most of its scientific relevance. Researchers learn about a variety of aspects that affect production processes, including technology, automation, labour, sustainability, safety, and quality control, through analysing the industrial environment. The creation of plans, policies, and practises to optimise operations, save costs, raise product quality, and improve overall performance in the manufacturing sector is made possible by an understanding of the relevance of the industrial environment. A methodology for making decisions that allows for the evaluation and ranking of options based on a variety of criteria is the MOORA (Multi-Objective Optimisation on the Basis of Ratio Analysis) method. It entails giving the criteria weights and rating each possibility on a ratio scale. The process generates the total performance index for each choice while taking both favourable and unfavourable factors into account. The MOORA technique aids in choosing the optimum option that best balances the many objectives and criteria used in the decision-making process by comparing performance indices. Alternate parameters taken as ASEA-IRB60/2, CincinnatiMilacroneT3-726, CybotechV15ElectricRobot, Hitachi America, Process Robot, UnimationPUMA500/600, UnitedStatesRobotsMaker110, and YaskawaElectricMotomanL3C. Evaluation parameters taken as Load capacity (LC) (kg), Repeatability (RE) (mm), Maximum tip speed (MTS) (mm/s), Memory capacity (MC), Manipulator reach (MR) (mm). Manufacturing Environment Using MOORA. ASEA-IRB60/2 is got the first rank whereas the UnimationPUMA500/600 is having the lowest rank. first ranking is obtained with the lowest quality of compensation-ASEA-IRB60/2