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Purpose: This paperwork assesses GT application practices problems in XYZ in order to identify the challenges and put the methods to improve GT application practices.
Methods: After the data is collected from the production process through primary and secondary data methods such as questionnaires, interviews, and review of previous research works, analysis has been carried out.
Results: The finding of the paper was grouping the parts into part families by using Rank order clustering (Kings’ Algorithm) and similarity coefficient algorithm and the arrangement of the machines into machine cells, where each machine specializes in one part family.
A unique contribution to theory, practice, and policy: This study will enable to help the management of the company to identify the challenges of GT application practices that exist in the company and how to solve these ineffective practices GT application at XYZ Plc.