Prasun Das

Prasun Das
Indian Statistical Institute | ISI · Statistical Quality Control and Operations Research Division

PhD

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25
Publications
2,168
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162
Citations

Publications

Publications (25)
Chapter
Any type of disaster significantly impacts on death toll and damage of wealth and properties. However, as the threats and impact of disaster become global, and therefore to accomplish a mere optimal disaster management plan could reduce the post-disaster effect. The multi-dimensions and trends of disaster data usher the possibility of analyzing the...
Article
A new approach has been used in modeling of strength and ductility of high strength low alloy (HSLA) steel, where a comparative study among fully-connected neural network, modular network and pruned-module architecture has been performed. The important features for modeling such a complex steel processing system have been worked out. Performance ev...
Article
Full-text available
Purpose – The purpose of this paper is to develop an unsupervised classification algorithm including feature selection for industrial product classification with the basic philosophy of a supervised Mahalanobis-Taguchi System (MTS). Design/methodology/approach – Two novel unsupervised classification algorithms called Unsupervised Mahalanobis Distan...
Article
In recent years, there has been a considerable growth of application of group technology in cellular manufacturing. This has led to investigation of the primary cell formation problem (CFP), both in classical and soft-computing domain. Compared to more well-known and analytical techniques like mathematical programming which have been used rigorousl...
Article
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The concept of quality improvement in industry has originated from the involvement of inspector which has become the most important part of manufacturing process or development activity. Over years, this initiative is migrated to various support functions of the industry. In this paper, emphasis has been given particularly in the areas related to s...
Article
Full-text available
Association rule mining finds interesting relationships among large set of data items. While finding the important (or, frequent) relations from the set of consumer survey data, a modified algorithm based on frequent pattern growth is developed in this work. The sensitivity of support and confidence used for rule mining on the data is tested. The i...
Article
Early detection of unnatural control chart patterns (CCP) is desirable for any industrial process. Most of recent CCP recognition works are on statistical feature extraction and artificial neural network (ANN)-based recognizers. In this paper, a two-stage hybrid detection system has been proposed using support vector machine (SVM) with self-organiz...
Article
Multiple criteria decision making (MCDM) is an approach to rank the alternatives with respect to the different attributes. Several MCDM approaches were used to select the best alternatives of meta-heuristic modeling under the soft-computing domain where the true best alternative is not known. Alternatives are artificial neural network models, selec...
Conference Paper
The field of evolutionary multi-objective optimization (MOO) has witnessed an ever-growing number of studies to use artificial swarm behavior. In this paper authors have made an endeavor to minimize the computational burden, associated with global ranking methods and local selection modules used in many multi-objective particle swarm optimizers. Tw...
Article
This study addresses the problem of car allocation to different routes under certain restrictions with the objective of reducing the excess cost of transportation. A meta-heuristic approach based on Ant Colony Optimisation (ACO) algorithm is proposed and implemented to schedule the cars efficiently along the routes under the existing logistics. A m...
Article
This study presents teratogenic factors and their deleterious effect on embryogenesis (congenital anomalies) in various age groups of pregnant mothers. A classification rule is developed based on significant risk factors in identifying possibility of future anomalies in mothers based on statistically significant risk factors. Developed system is su...
Article
This paper addresses a comparative approach of classification of Thermomechanically Controlled Processed (TMCP) High Strength Low Alloy (HSLA) steels based on Mahalanobis‐Taguchi System (MTS) principles and ensemble neural networks, including sensitivity analysis for variable selection. Later, a hybrid approach is developed, depending on the abilit...
Article
In petrochemical industries, the gaseous feedstock like ethane and propane are cracked in furnaces to produce ethylene and propylene as main products and the inputs for the other plant in the downstream. A problem of low furnace run length (FRL) increases furnace decoking and reduces productivity along with the problem of reducing life of the coil....
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Full-text available
The process of learning, with significant technological development, has stepped forward towards e-learning not only for educational institutions but also for government and corporate businesses. The respective product development process of e-learning business often faces challenges in defect-free phases of the project life cycle across various ty...
Article
Maintaining a smooth supply chain between the retail outlets and the warehouse is one of the key aspects of any retail‐chain business. This study makes an attempt to solve various multiobjective optimisation problems involving key parameters of supply chain system viz., maximisation of service level and sale throughput and minimisation of inventory...
Article
There was a problem of shade variation of dyed fabrics in a reputed textile company leading to the increase in process cycle time due to the extra amount of color addition or stripping. The extent of reprocessing fabrics was estimated to be around 75%. The objective of this work was to reduce the shade matching time in the fabric dyeing process by...
Article
Achieving consistency of growth pattern for commercial yeast fermentation over batches through addition of water, molasses and other chemicals is often very complex in nature due to its bio-chemical reactions in operation. Regression models in statistical methods play a very important role in modeling the underlying mechanism, provided it is known....
Article
Fluctuation of sales over time is one of the major problems faced by most of the industries. To alleviate this problem management tries to base their plans on forecast of sales pattern, which are mostly adhoc and rarely provides solid foundation for the plans. This study makes an attempt to solve this problem by taking a neural network approach, at...
Article
This study aims to investigate the causes of different sources of weight variation of capsules and thereby to suggest a suitable control scheme to improve productivity in a pharmaceutical industry. Data are analysed, using the capsule filling process, under a mixed effect cross-nested model. The process capabilities are estimated using Clements' me...
Article
Full-text available
Classification of. at steel products from the point of view of reaching the target property is a common practice in industries. In most classification problems, standard statistical methods generally place constraints such as continuous, differentiable, otherwise well behaved, etc. However, Artificial Neural Networks (ANN) has an ability to learn a...
Article
The marketing process in any business plays a major role in attaining growth for a company. Adopting Six Sigma principles to business marketing can strengthen factual decision-making activities leading to customer satisfaction. This paper addresses the important issue of ensuring continuous availability of fresh consumer products at retail levels t...
Article
Flour is the major ingredient for biscuit manufacturing. The selection of flour for a particular variety of biscuits is based on the performance of the Extensibility(E) and Resistance (R) properties, in general. However, the testing times of “E” and “R” led to an issue of 67% untested consignments of flour. In order to overcome these shortcomings,...
Article
Flour is the major ingredient for biscuit manufacturing. The selection of flour for a particular variety of biscuits is based on the performance of the Extensibility(E) and Resistance (R) properties, in general. However, the testing times of “E” and “R” led to an issue of 67% untested consignments of flour. In order to overcome these shortcomings,...

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