Papers by Sandipan Karmakar
Assembly Automation, 2012
If you would like to write for this, or any other Emerald publication, then please use our Emeral... more If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service. Information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.
Water Research, Jan 1, 2009
The present investigation focuses on the development of an effective strategy to determine the op... more The present investigation focuses on the development of an effective strategy to determine the optimum environmental conditions leading to the maximum rate of biodegradation of 2,4-DCP by coupling response surface methodology (RSM) with a developed genetic algorithm (GA) thereby ensuring minimum contact time. RSM is utilized to create an efficient analytical model for biodegradation of 2,4-DCP in terms of environmental parameters: pH, temperature, enzyme activity and time of incubation. For this purpose, a number of degradation experiments based on statistical three-level Box Behnken design methods were carried out. An effective response surface (RS) model is developed by carrying out experiments designed using the Box Behnken method. The RS model thus developed is further interfaced with the GA to optimize the degradation conditions for optimum degradation with minimum contact time. The GA increases the biodegradation conditions to >99% within a time period of 8 h within the given range of experimental conditions. The conditions obtained from GA were verified experimentally.
iieom.org
This paper focuses on a Flexible Flow Shop (FFS) problem in a paint company in an attempt to mini... more This paper focuses on a Flexible Flow Shop (FFS) problem in a paint company in an attempt to minimize production makespan. The FFS problem is characterized by multiple products being produced in machines in stages with sequence dependent set up times and infinite intermediate storages. As the FFS problem is computationally complex, two heuristic methods are employed to solve the Mixed Integer Linear Programming (MILP) problem formulated. The first heuristic is based on the Theory of Constraints and the second heuristic is based on a Genetic Algorithm. The Genetic Algorithm approach has resulted in a better production makespan.
Uploads
Papers by Sandipan Karmakar