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Developing a model for process improvement using multiple regression technique : A case example

Ashok Sarkar (SQC and OR Division, Indian Statistical Institute, Mumbai, India)
Arup Ranjan Mukhopadhyay (SQC and OR Division, Indian Statistical Institute, Mumbai, India)
Sadhan Kumar Ghosh (Department of Mechanical Engineering, Jadavpur University, Kolkata, India)

The TQM Journal

ISSN: 1754-2731

Article publication date: 7 October 2014

1050

Abstract

Purpose

Practitioners often face challenges in model development when establishing a relationship between the input and output variables and their optimization and control. The purpose of this paper is to demonstrate, with the help of a real life case example, the procedure for model development between a key process output variable, called the multi-stage flash evaporator efficiency, and the associated input process variables and their optimization using appropriate statistical and analytical techniques.

Design/methodology/approach

This paper uses a case study approach showing how multiple regression methodology has been put into practice. The case study was executed in a leading Indian viscose fiber plant.

Findings

The desired settings of the relevant process parameters for achieving improved efficiency have been established by appropriately using the tools and techniques from the Lean Six Sigma tool kit. The process efficiency, as measured by M3 of water evaporated per ton of steam, has improved from 3.28 to 3.48 resulting in satisfactory performance.

Originality/value

This paper will be valuable to many practitioners of Six Sigma/Lean Six Sigma and researchers in terms of understanding the systematic application of quality and optimization tools in a real world situation.

Keywords

Citation

Sarkar, A., Ranjan Mukhopadhyay, A. and Kumar Ghosh, S. (2014), "Developing a model for process improvement using multiple regression technique : A case example", The TQM Journal, Vol. 26 No. 6, pp. 625-638. https://doi.org/10.1108/TQM-12-2012-0105

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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