K. Ganesh

TL;DR: This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

TL;DR: A hybrid model with the integration of data envelopment analysis and genetic algorithm is proposed, which aims to model the uncertainties encountered in the integrated sourcing selection and order allocation methodology.

TL;DR: A three-phase composite analytical model (CAM) is proposed to solve IAR problem for public sector blood banks and five-phase CAM for private sector blood Banks based on the integration of analytic hierarchy process and mixed-integer linear programming model.

TL;DR: In this paper, the authors have developed a composite model for selection of a 3PL service provider with multiple criteria under fuzzy situation, which comprises two folds: 1) evaluation of 3pl service provider based on multiple criteria by integration of fuzzy logic and analytic hierarchy process; 2) ranking of 3 PL service providers based on technique for order preference by similarity to ideal solution (TOPSIS) technique.

TL;DR: In this paper, a preference-based decision-making approach (PDM) is proposed to the faculty-course assignment problem, where a variety of criteria such as faculty preferences over the subject, student preferences and administrative preferences of the faculty over a particular subject, the faculty research work load and faculty-teaching load are considered in developing the model.