Title: Forecasting structural equation modelling of lean manufacturing using high order statistical functions

Authors: M.V. Jobin; T. Radha Ramanan; R. Sridharan

Addresses: Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut-673601, Kerala, India ' School of Management Studies, National Institute of Technology Calicut, 673601, India ' Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut-673601, Kerala, India

Abstract: Typically, the primary goal of lean technology (LT) is to improve profits and create value by minimising waste. The consideration of demand variability in a multi-dimensional lean manufacturing environment is an innovation in production system engineering. However, manufacturing systems that fail to recognise demand variability generate high work-in-process (WIP) and low throughput in the lean manufacturing process. Moreover, many companies have found it difficult to successfully implement and sustain lean manufacturing. It is, therefore, very important for companies to identify and understand the critical success factors for successfully implementing lean manufacturing. To overwhelm the challenges in the implementation of lean manufacturing, this paper plan to introduce an advanced model and this model is analysed using structural equation modelling.

Keywords: lean manufacturing; structural equation modelling; SEM; maximum likelihood; regression analysis; EFA; work-in-process; WIP.

DOI: 10.1504/IJISM.2021.117240

International Journal of Integrated Supply Management, 2021 Vol.14 No.3, pp.291 - 305

Received: 31 Jan 2020
Accepted: 09 Jan 2021
Published online: 24 Aug 2021 *

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