scholarly journals A Conceptual Model for Production Leveling (Heijunka) Implementation in Batch Production Systems

Author(s):  
Luciano Fonseca Araujo ◽  
Abelardo Alves Queiroz
2005 ◽  
Vol 67 (6) ◽  
pp. 541-558 ◽  
Author(s):  
Ernesto López-Mellado ◽  
Norma Villanueva-Paredes ◽  
Hugo Almeyda-Canepa

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 163458-163471
Author(s):  
Jiazhong Zhou ◽  
Jiliang Luo ◽  
Dimitri Lefebvre ◽  
Zhiwu Li

2020 ◽  
Vol 12 (16) ◽  
pp. 6631 ◽  
Author(s):  
Giancarlo Nota ◽  
Francesco David Nota ◽  
Domenico Peluso ◽  
Alonso Toro Lazo

We derived a promising approach to reducing the energy consumption necessary in manufacturing processes from the combination of management methodologies and Industry 4.0 technologies. Based on a literature review and experts’ opinions, this work contributes to the efficient use of energy in batch production processes combining the analysis of the overall equipment effectiveness with the study of variables managed by cyber-physical production systems. Starting from the analysis of loss cause identification, we propose a method that obtains quantitative data about energy losses during the execution of batch processes. The contributions of this research include the acquisition of precise information about energy losses and the improvement of value co-creation practices so that energy consumption can be reduced in manufacturing processes. Decision-makers can use the findings to start a virtuous process aiming at carbon footprint and energy costs reductions while ensuring production goals are met.


1987 ◽  
Vol 30 (4) ◽  
pp. 786-797
Author(s):  
Frank M. Hull ◽  
Paul D. Collins

1990 ◽  
Vol 19 (1-4) ◽  
pp. 37-41 ◽  
Author(s):  
Avijit Banerjee ◽  
Cheickna Sylla ◽  
Somkiat Eiamkanchanalai

Author(s):  
Guillaume Martin ◽  
Roger Martin-Clouaire ◽  
Jean-Pierre Rellier ◽  
Michel Duru

Fulfilling the production objectives of a grassland-based beef system requires a robust management strategy to secure the best practicable use of forage resources with regard to the cattle demand. To address the challenging issue of designing such strategies, this article describes the application of an ontology of agricultural production systems to the generic conceptual model SEDIVER, which supports the representation and dynamic farm-scale simulation of specific grassland-based beef systems. The most salient and novel aspects of SEDIVER concern the explicit modeling of (a) the diversity in plant, grassland, animal and farmland, and (b) management strategies that deal with the planning and coordination of activities whereby the farmer controls the biophysical processes. By using the SEDIVER conceptual framework, part of the subjective and context-specific knowledge used in farm management can be captured and, in this way, enable scientific investigation of management practices.


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