A Mathematical Model for Reduction of Trim Loss in Cutting Reels at a Make-to-Order Paper Mill

Author:

Khan Razaullah,Pruncu Catalin IulianORCID,Khan Abdul SalamORCID,Naeem Khawar,Abas MuhammadORCID,Khalid Qazi SalmanORCID,Aziz Asnaf

Abstract

One of the main issues in a paper mill is the minimization of trim loss when cutting master reels and stocked reels into reels of smaller required widths. The losses produced in trimming at a paper mill are reprocessed by using different chemicals which contributes to significant discharge of effluent to surface water and causes environmental damage. This paper presents a real-world industrial problem of production planning and cutting optimization of reels at a paper mill and differs from other cutting stock problems by considering production and cutting of master reels of flexible widths and cutting already stocked over-produced and useable leftover reels of smaller widths. The cutting process of reels is performed with a limited number of cutting knives at the winder. The problem is formulated as a linear programming model where the generation of all feasible cutting patterns determines the columns of the constraint matrix. The model is solved optimally using simplex algorithm with the objective of trim loss minimization while satisfying a set of constraints. The solution obtained is rounded in a post-optimization procedure in order to satisfy integer constraints. When tested on data from the paper mill, the results of the proposed model showed a significant reduction in trim loss and outperformed traditional exact approaches. The cutting optimization resulted in minimum losses in paper trimming and a lesser amount of paper is reprocessed to make new reels which reduced the discharge of effluent to the environment.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The two-dimensional cutting stock problem with usable leftovers and uncertainty in demand;Computers & Industrial Engineering;2023-12

2. An Optimization Model to Minimize Cutting Waste in Medical Container Manufacturing;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

3. A stochastic programming approach to the cutting stock problem with usable leftovers;European Journal of Operational Research;2023-07

4. Advances in Industrial Waste Reduction;Applied Sciences;2023-01-20

5. A mathematical formulation and reduction of cutting stocks problems in paper-mill industries;PROCEEDINGS OF THE 4TH INTERNATIONAL COMPUTER SCIENCES AND INFORMATICS CONFERENCE (ICSIC 2022);2023

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