Evaluation of Min–Max, Weighted and Preemptive Goal Programming Techniques with Reference to Mahanadi Reservoir Project Complex

Abstract

An application of Goal Programming (GP) methodology with its three approaches namely Min–Max Goal Programming (MMGP), Weighted Goal Programming (WGP) and Preemptive Goal Programming (PGP) to a system of reservoir for optimal monthly operation has been presented in this paper. The objective of the present work is to find out an improved optimal operation model for Mahanadi Reservoir Project (MRP) system and to study the results in light of implicit fundamental philosophy associated with the models. The goal programming approach possesses significant advantage due to the fact that it may be based on physical operating criteria. The system goals and constraints are expressed deterministically. A constraint must be strictly satisfied, while for a goal it is desired to achieve the solution as close as possible to the specified target. The MMGP model is based on the philosophy of minimization of maximum range of deviation of all decision variables from their target value uniformly. WGP focus on the weights assigned to decision variables according to their relative importance. Whereas, PGP model deals sequentially with each goal according to their order of priorities. All the three GP models have been developed and applied to the MRP Complex which comprises of six multipurpose reservoirs with two inter basin linkage canals in the state of Chhattisgarh, India. The system goals and constraints are expressed deterministically for the application of model in perfect mode. The input data set was kept same to facilitate a justifiable comparison of performance of GP models. The strengths and limitations of all the three GP models have been analysed and the basic salient features of models in light of results obtained are discussed and presented. The best operating policy has been resulted from PGP model as compared to other two models.