Modeling the Metrics of Human Resource, Time, and Asset Level Barriers in the Implementation of Lean Manufacturing Using an Analytical Network Process Approach

Abstract

A philosophy, that describes an integration of advanced tools and techniques into the production layout of any industry for optimizing human resources, time, assets, and hence overall productivity, termed as ‘lean’ in the manufacturing or business environment. In present scenario, it is a verdict that effective manufacturing environment is not fulfilled the gap between entrepreneurship and organizational demand which remains competition for further improvements in product quality under barriers. The responses appear evident that concerns are always trying to reduce wastes in operations in order to become more profitable. Therefore, an attempt has been made for implementing lean practices in organization which need commitment toward tremendous learning experience against identification and recognition of critical barriers such as human resource level barriers (HLBs), time level barriers (TLBs), and asset level barriers (ALBs) which affect implementation process due to individual/employee/group level, waste time in production, infrastructures, facilities, and equipment, respectively. Main aim of research is to measure the effectiveness of HLBs, TLBs, and ALBs using an analytical network process (ANP) framework. It is suggested that ALBs are the most critical category which impacts 43.26%, trailed by HLBs, i.e., 35.17% and lastly TLBs, i.e., 21.55% directly on implementation. Key findings of this research may strengthen the top managements and decision makers in identification and recognition of category of hindrances during implementation of lean manufacturing on their shop floor. Also it helps them to derive suitable strategies to overcome identified barriers before implementation of lean practices.