Chandrasekharan Rajendran

Bio: Chandrasekharan Rajendran is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Job shop scheduling & Flow shop scheduling. The author has an hindex of 52, co-authored 192 publications receiving 9404 citations. Previous affiliations of Chandrasekharan Rajendran include Indian Institutes of Technology & VIT University.

Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover Across Periods (CLSP:PCSC): Mathematical Model 1 (MM1) and a Heuristic for Process Industries

Abstract: The capacitated lot sizing problem (CLSP) is a lot sizing model in which the production of multiple products is allowed within a time period on a single machine, with a condition that the entire demand for a product within that period should be met from the production in that period and/or the inventory carried from the previous periods, without any backorders or lost sales. Finding a minimum cost production plan that satisfies all the demand requirements without exceeding the capacity limits of a period is the main objective of the CLSP.

Relationship Between Age-of-Quality and Operational Performance in Software Industry: An Empirical Study Conducted in Software Industry in India

Abstract: This study attempts to investigate the role of quality-management practices in software firms. The attempt probes whether the “age of quality program” plays a critical role in influencing the “operational performance” of software firms. The critical factors of quality-management practices in the software industry as well as the indicators of operational performance are first identified and validated through an empirical study on the basis of responses from software organizations in India. Subsequently, the responses are also used to study the relation between age of quality and operational performance. The results of the study show that the quality management practices, as well as the age-of-quality, influences the operational performance of firms in the case of software industry.

tofee-tree: automatic feature engineering framework for modeling trend-cycle in time series forecasting

Abstract: Most time series forecasting tasks using Artificial Neural Networks (ANNs) relegate trend-cycle modeling to a simple preprocessing step. In this work, we propose an automatic feature engineering framework for modeling the trend-cycle (tofee-tree) in time series forecasting. The first stage of the framework automatically creates over 286 deterministic linear and nonlinear engineered features to model the trend-cycle. These features are based only on the time of observation and length of the time series, making them domain-agnostic. In the second stage of the framework, a SHapley Additive exPlanations (SHAP)—based feature selection procedure using Light Gradient Boosted Machine (LightGBM) selects the most relevant features. These relevant features can be used for forecasting with ANNs in addition to the auto-regressive lags. Two popular ANNs—Multi-Layer Perceptron (MLP) and Long Short Term Memory network (LSTM) are used to evaluate our proposed tofee-tree framework. Comparisons against two empirical studies using the M3 competition dataset show that the proposed framework improved the overall Symmetric Mean Absolute Percentage Error (SMAPE) in the one-step, medium- and long-term. The relative improvement in one-step SMAPE is 3% for MLP and 23% for LSTM. We also show that the residual seasonality left after deseasonalization can be modeled using the tofee-tree framework.

A comprehensive framework for measuring service quality perceptions of patients: A case of Indian hospitals

Abstract: The increasing purchasing power of Indian customers and the significant growth in the industry have led to stiff Indian competition in the Indian healthcare sector. It has become vital for the healthcare providers to deliver and sustain quality practices in order to get established in the global health scenario. The main objective of the paper is to determine the dimensions of service quality in Indian hospitals, from patientspsila perspective. Based on the existing models and the literature on healthcare services, the authors have proposed a framework to conceptualize and measure hospital service quality. This would enable hospital managers understand how patients evaluate the quality of care provided and aid them to allocate resources to various aspects of healthcare, considered to be important by the patients. A questionnaire has been developed for measuring the dimensions of hospital service quality and is being validated. The current work could be extended to determine the link between various aspects of hospital services and patient satisfaction.

The Design and Analysis of Experiments

Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

Out of the Crisis

Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Evolutionary algorithms for solving multi-objective problems

Abstract: List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test Suites. 4. MOEA Testing and Analysis. 5. MOEA Theory and Issues. 3. MOEA Theoretical Issues. 6. Applications. 7. MOEA Parallelization. 8. Multi-Criteria Decision Making. 9. Special Topics. 10. Epilog. Appendix A: MOEA Classification and Technique Analysis. Appendix B: MOPs in the Literature. Appendix C: Ptrue & PFtrue for Selected Numeric MOPs. Appendix D: Ptrue & PFtrue for Side-Constrained MOPs. Appendix E: MOEA Software Availability. Appendix F: MOEA-Related Information. Index. References.