![Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5943/TOC-Subject-Sample-2021-Mathematics-Statistics.jpg"})
Abstract
This article develops a multi-choice multi-objective linear programming model in order to solve an integrated production planning problem of a steel plant. The aim of the integrated production planning problem is to integrate the planning sub-functions into a single planning operation. The sub-functions are formulated by considering the capacity of different units of the plant, cost of raw materials from various territories, demands of customers in different geographical locations, time constraint for delivery the products, production cost and production rate at different stages of production process. Departure cost is also considered in the formulation of mathematical programming model. Some of the parameters are decided from a set of possible choices, therefore such parameters are considered as multi-choice type. Multi-choice mathematical programming problem cannot be solved directly. Therefore an equivalent multi-objective mathematical programming model is established in order to find the optimal solution of the problem. Computation of the mathematical programming model is performed with the practical production data of a plant to study the methodology.
Acknowledgements
S. Acharya is grateful to Council of Scientific and Industrial Research (CSIR), New Delhi, India, for the financial support provided to carry out the research. He is also thankful to Sri Srikant Panda, AGM, SMS-II (Operation), Rourkela Steel Plant and Mr. D.P. Sahoo, who helped him a lot during data collection in Rourkela Steel Plant. The authors would like to thank the Referee for his helpful suggestions and comments which have led to an improvement in both quality and clarity of this article.