scholarly journals LOT SIZING AND CUTTING STOCK PROBLEMS IN A PAPER PRODUCTION PROCESS

2021 ◽  
Vol 41 (spe) ◽  
Author(s):  
Livia Maria Pierini ◽  
Kelly Cristina Poldi
2017 ◽  
Vol 48 ◽  
pp. 250-268 ◽  
Author(s):  
Aline A.S. Leao ◽  
Marcos M. Furlan ◽  
Franklina M.B. Toledo

2020 ◽  
Vol 295 (2) ◽  
pp. 695-736
Author(s):  
Gislaine Mara Melega ◽  
Silvio Alexandre de Araujo ◽  
Reinaldo Morabito

2016 ◽  
Vol 36 (1) ◽  
pp. 167-196 ◽  
Author(s):  
Gislaine Mara Melega ◽  
Silvio Alexandre de Araujo ◽  
Raf Jans

Author(s):  
Ali, Hassana Oseiwu ◽  
Orumbe, Seth Obafemi

This research is an analysis of quality control process on paper production on the soft roll production process of Bel Papyrus Ltd located in Ogba, Lagos State, Nigeria. The research was done with the aim of determining the conformity of the industry’s product to quality standard, identifying and eliminating the possible causes of variation in their production process, with reference to Percentage Elongation. The researchers used primary data in form of periodic laboratory test result done on soft rolls.Data presentations were made using simple statistical tools like Mean, Ranges, Standard Deviations, and Tables reflecting the primary data obtained at equal interval of production. The researchers made use of variable control charts for the purpose of analysis. The


2016 ◽  
Vol 17 (3) ◽  
pp. 305 ◽  
Author(s):  
Sônia Cristina Poltroniere ◽  
Silvio Alexandre Araujo ◽  
Kelly Cristina Poldi

Two important optimization problems occur in the planning and production scheduling in paper industries: the lot sizing problem and the cutting stock problem. The lot sizing problem must determine the quantity of jumbos of different types of paper to be produced in each machine over a finite planning horizon.These jumbos are then cut in order to meet the demand of items for each period. In this paper, we deal with the integration of these two problems, aiming to minimize costs of production and in- ventory of jumbos, as well as the trim loss of paper generated during the cutting process. Two mathematical models for the integrated problem are considered, and these models are solved both heuristically and using an optimization package. Attempting to get lower bounds for the problem, relaxed versions of the models also have been solved. Finally, computational experiments are presented and discussed. 


OR Spectrum ◽  
2021 ◽  
Author(s):  
Amanda O. C. Ayres ◽  
Betania S. C. Campello ◽  
Washington A. Oliveira ◽  
Carla T. L. S. Ghidini

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