Susmita Bandyopadhyay

Published: Aug 03, 2014 by Artificial Intelligence, Evolutionary Computation and Metaheuristics, Xin-She Yang (Ed.), Studies in Computational Inte
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Computer Science & Engineering

This chapter presents an overview of various nature-based algorithms to solve multi-objective problems with the particular emphasis on Multi-Objective Evolutionary Algorithms based on Genetic Algorithm. Some of the significant hybridization and the modification of the benchmark algorithms have also been discussed as well. The complexity issues have been outlined and various test problems to show the effectiveness of such algorithms have also been summarized.

Published: Jan 01, 2014 by Journal of Manufacturing Systems
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Engineering - Industrial & Manufacturing

We have also proposed a modification of Non-dominated Sorting Genetic Algorithm-II (NSGA-II). We have proposed a mutation algorithm which has been embedded into the modified NSGA-II. Experimental results show that the proposed algorithm performs better than the original NSGA-II and SPEA2 (Strength Pareto Evolutionary Algorithm 2).

Published: Sep 01, 2013 by International Journal of Advanced Manufacturing Technology
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Engineering - Industrial & Manufacturing

We have derived generalized expressions of Bullwhip Effect (BWE) based on the generalized ARMA (p,q) demand process under the various replenishment policies. The expressions have been compared both algebraically and numerically in order to find out the appropriate replenishment policy that leads to minimum valued expression for BWE.

Published: Aug 01, 2013 by Journal of Intelligent Manufacturing Systems
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Engineering - Industrial & Manufacturing

This paper minimizes the value of total cost and bullwhip effect in a supply chain. The objectives have been achieved through developing a new multi-objective formulation for minimizing the total cost and minimizing the bullwhip effect of a two-echelon serial supply chain. A new crossover algorithm for a fuzzy variable and a new mutation algorithm have also been proposed while applying Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to the proposed problem.

Published: Jun 01, 2013 by Applied Mathematical Modelling
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Engineering - Industrial & Manufacturing

In this paper, we modify a Multi-Objective Evolutionary Algorithm, known as Nondominated sorting Genetic Algorithm-II (NSGA-II) for a parallel machine scheduling problem with three objectives. The formulated problem has been solved by three Multi-Objective Evolutionary Algorithms. A new mutation algorithm has also been proposed depending on the type of problem and embedded in the modified NSGA-II.

Published: Mar 01, 2013 by Journal of Intelligent Manufacturing
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Engineering - Industrial & Manufacturing

In this paper, a hierarchical multi-agent based routing strategy based on Tarantula mating behavior has been introduced. The approach in this paper routes a job to the next optimum neighboring node from the current position, instead of deciding over the entire path before the journey begins.

Published: Mar 01, 2012 by IEEE-International Conference on Advances in Engineering, Science and Management 2012
Authors: Susmita Bandyopadhyay and Ranjan Bhattacharya
Subjects: Engineering - Industrial & Manufacturing

This paper proposes a NSGA-II based multi-objective evolutionary algorithm and applies the proposed algorithm on a novel multi-objective problem for a two echelon serial supply chain.

Published: Jun 01, 2011 by International Journal of Advanced Manufacturing Technology
Authors: Ranjan Bhattacharya and Susmita Bandyopadhyay
Subjects: Engineering - Industrial & Manufacturing

A review of the past research studies on the causes of bullwhip effect is presented in this paper. This paper is an effective study from the point of view that it presents a detailed classified study of the overall research studies on the effect of both the operational and the behavioral factors on bullwhip effect. A total of 19 causes of bullwhip effect have been shown here. We have also identified the various gaps of research in the past research studies.

Published: Nov 01, 2010 by International Journal of Advanced Manufacturing Technology
Authors: Ranjan Bhattacharya and Susmita Bandyopadhyay
Subjects: Engineering - Industrial & Manufacturing

This paper focuses on the facility location problem with two conflicting objectives. We observe that minimization of the total cost of a particular echelon may lead to the increase in the total cost of a supply chain as a whole. We have solved the problem formulated in mixed nonlinear programming by a multi-objective evolutionary algorithm (MOEA) known as non-dominated sorting algorithm.

Published: Mar 01, 2010 by International Journal of Advanced Manufacturing Technology
Authors: Ranjan Bhattacharya and Susmita Bandyopadhyay
Subjects: Engineering - Industrial & Manufacturing

We study the effect of various benchmark deadlock recovery strategies, and we find that each of these recovery strategies either results into another kind of deadlock or results into very high handling cost and long handling time. We also propose a new improved strategy in order to solve the shop deadlock problem through the use of both automated guided vehicle and a central buffer.