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Industrial Engineering Journal

eISSN: ****-**** . Open Access


ENHANCING OVERALL LABOUR EFFECTIVENESS OF CSD WAREHOUSE BY ADOPTING LEAN TOOLS IN CONSTRUCTION EQUIPMENT MANUFACTURING PROCESS

V. Deepak

Dr. S. Bhaskar

Dr. M. Balaji

Abstract

Now a days in this fast growing industrial or non - industrial age everyone needs speed in manufacturing to cope up with customer requirement and the customer satisfaction. A sound measurement framework is something every manufacturer would like to have. Yet today most measurement systems focus on machinery effectiveness or production output. Manufacturers measurers time and attendance carefully but beyond that few have a method of understanding the effective use of their workforce. Overall Labour Effectiveness (OLE) is the key to understanding the effect of the workforce has on manufacturing performance and most important it provides a platform that helps diagnose and predict that performance. This paper is based on enhancing the productivity of warehouse through overall labour effectiveness with the help of industrial engineering tools in BULL Machines Private Limited, construction equipment industry. The construction equipment industry is specialize in producing backhoe loaders, smart loaders and skid steers etc. The most challenging issue in construction industry is effective productivity and good labour performance. The objective of this research is in dispatch section of warehouse not meeting the dispatch lead time of 48 hours to customers. Identifying value added activities, non value added activities and necessary non value added activities of labours in warehouse. The major factors considered in warehouse are identified in the pareto chart and implementing kaizen for improvements by applying lean tools like kanban and just in time concept to reduce the lead time. Calculations based on their availability, performance and conformance to requirements of work by labours in warehouse to reduce the lead time.

Keywords- Dispatch, Kaizen, Kanban, Value added, Non value added.

Volume (2021)

Number 1 (Jan)

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