Prioritization of Attributes for Palletizing Robots in Beverage Industry of Pakistan

Bilal Ahmed; Hafiz Muhammad Khurram Ali; Aamir Sultan; Bakht Bahadur Rana

doi:10.22581/muet1982.1703.05

Bilal Ahmed Department of Mechatronic Engineering, University of Engineering and Technology, Taxila, Sub-Campus Chakwal.
Hafiz Muhammad Khurram Ali Department of Mechatronic Engineering, University of Engineering and Technology, Taxila, Sub-Campus Chakwal.
Aamir Sultan Department of Mechatronic Engineering, University of Engineering and Technology, Taxila, Sub-Campus Chakwal.
Bakht Bahadur Rana Glass and Ceramics Research Centre, PCSIR Labs, Lahore.

DOI: https://doi.org/10.22581/muet1982.1703.05

Abstract

Robots are extensively used in modern manufacturing industries to perform numerous repetitive operations. The challenge of selecting the most appropriate robot for a particular manufacturing setup is progressively becoming complex as there are numerous selection criteria and more alternatives available in market. Only a limited amount of research is available in literature which focuses on the selection of industrial robots for beverage industry. This study offers a country specific application of AHP (Analytical Hierarchy Process) in problem of palletizing robot selection for beverage industry of Pakistan. The problem is structured in standard AHP hierarchy and equations. The factors initially explored from the concerned literature are prioritized by the industry experts. The available robot alternatives are evaluated for each parameter and results are computed with the help of Exert Choice, a commercial AHP software. It is observed that experts in Pakistan beverage industry are very sensitive to operating costs of the robots and they do not assign as much weightage to technical parameters like repeatability and programmability. The robots with lesser associated costs and better speed and ‘manipulator reach’ are higher in ranking. The findings are beneficial for the international investors and local beverage industry managers to corroborate the current trends and preferences of the said industry.