Deckle Optimization in Paper Industry

This chapter deals with a case study on deckle optimization problem encountered in paper and paperboard industries. The problem is crucial for the industry as it concerns huge financial implications. The decision making problems are too complex to handle manually and software solutions are indispensable. Deckle optimization problems are solved typically using the one-dimensional cutting stock problem and travelling salesmen problem models. Intelligent modeling is essential to solve the cutting stock problems arising in the context of deckle optimization. With a brief introduction to the products and processes relevant to this case study, the chapter presents various formulations to handle the challenges. Time and material costs are two conflicting components of the deckle optimization problem. The formulations proposed aid the user to explore the consequences of weighing these two conflicting factors while choosing the strategy for optimal decision making. The formulations and solutions are illustrated with examples and a practical instance of the problem picked up from the past data. A software solution has been developed for the client which uses excel as frontend as desired by the client.