Decision Sciences for Quality and Productivity Improvement

Edited by Indrajit Mukherjee (), Raghu Nandan Sengupta (), Bhaskar Basu () and Jitendra Kumar Jha ()

in Springer Books from Springer

Date: 2026
ISBN: 978-981-95-7545-9
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Chapters in this book:

Ch 1 Conversational Chatbot for Enhancing Healthcare Services

Amandeep Kaur and Gyan Prakash

Ch 10 An Integrated Data Analytic Approach for Achieving Operational Excellence in Supply Chain

Prasun Das and Satyaki Basu Sarbadhikary

Ch 2 Current and Future Trends in Healthcare Quality Control and Improvement

Riddhi Parasnaik, Raashi Jatakia, Priya Patwa and Gajanan Nagare

Ch 3 The Adaptation of Industry 4.0 for Total Quality Management (TQM): Empirical Observations from the Banking Service Sector

Meshack Bashange Mwesiga and Ismail W. R. Taifa

Ch 4 Integrating Decision Science and Fuzzy Logic to Evaluate and Improve Water Quality: A Pathway to Operational Excellence in Environmental Management

Ajoy Kanti Das, Nandini Gupta, Suman Das, Rakhal Das, Carlos Granados and Suman Patra

Ch 5 A Solution Framework to Address Model Parameter Uncertainties in ANN-Based Response Surface Models for Multivariate Process Quality Control

Abhinav Kumar Sharma and Anagha Savit

Ch 6 Role of Digital Technologies in Quality Improvement for a Sustainable Healthcare System

Prince Kumar Tiwari and Cherian Samuel

Ch 7 Pearl Millet Yield Prediction: A Comparative Analysis for Forecasting Models

Nikita Dhankar, Srikanta Routroy and Satyendra Kr. Sharma

Ch 8 A Relationship Analysis of Digital Training of Students and Their Influence on Efficiency and Productivity in Control Institutions

Plamena Nedyalkova, Iliyan Hristov and Gergana Tsoncheva-Petkova

Ch Chapter 9 Enhancing Quality and Productivity: A Deep Dive into Technology Adoption Models for Operational Excellence

Ved Prabha Toshniwal, Rakesh Jain, Gunjan Soni, Bharti Ramtiyal, Shrishti Gupta and Vijay Raj

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DOI: 10.1007/978-981-95-7545-9

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