scholarly journals Towards a Flexible Smart Factory with a Dynamic Resource Orchestration

2021 ◽  
Vol 11 (17) ◽  
pp. 7956
Author(s):  
Milan Pisarić ◽  
Vladimir Dimitrieski ◽  
Marko Vještica ◽  
Goran Krajoski ◽  
Mirna Kapetina

Amid the current industrial revolution, a total disruption of the existing production lines may seem to be the easiest approach, as the potential possibilities seem limitless when starting from the ground up. On the business side, an adaptation of existing production lines is always a preferred option. In support of adaptation as opposed to disruption, this paper presents a new approach of using production process orchestration in a smart factory, discussed in an industrial case-study example. A proposed smart factory has the Orchestrator component in its core, responsible for complete semantical orchestration of production processes on one hand, and various factory resources on the other hand, in order to produce the desired product. The Orchestrator is a complex, modular, highly scalable, and pluggable software product responsible for automatised planning, scheduling, and execution of the complete production process. According to their offered capabilities, non-smart and smart resources—machines, robots, humans—are simultaneously and dynamically assigned to execute their dedicated production steps.

2015 ◽  
Vol 21 (2) ◽  
pp. 411-448 ◽  
Author(s):  
Heiko Koziolek ◽  
Thomas Goldschmidt ◽  
Thijmen de Gooijer ◽  
Dominik Domis ◽  
Stephan Sehestedt ◽  
...  

2015 ◽  
Vol 3 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Taeho Kim ◽  
Sungwon Kang

In order to successfully carry out software product line engineering, it is important to manage variability and explicit traceability management of variabilities with development artifacts. Trace links of variability with development artifacts allows software engineers to have rapid product development and reduces maintenance efforts resulting from requirement changes or defect corrections as trace links improve the understandability of their side effects. In this study, the authors present a Variability Tracing Approach (VTA), which consists of variability analysis, variability classification, and variability implementation. The proposed approach is applied to developing the development of a washing machine software platform. This paper describes the results of how a member product can be configured under the proposed VTA.


2014 ◽  
Vol 88 ◽  
pp. 189-206 ◽  
Author(s):  
Ivonei Freitas da Silva ◽  
Paulo Anselmo da Mota Silveira Neto ◽  
Pádraig O’Leary ◽  
Eduardo Santana de Almeida ◽  
Silvio Romero de Lemos Meira

Author(s):  
Luanna Lopes Lobato ◽  
Paulo Anselmo da Mota Silveira Neto ◽  
Ivan do Carmo Machado ◽  
Eduardo Santana de Alemida ◽  
Silvio Romero de Lemos Meira

2006 ◽  
Vol 19 (2) ◽  
pp. 247-260 ◽  
Author(s):  
Peter Korosec ◽  
Jurij Silc

The Multilevel Ant Stigmergy Algorithm (MASA) is a new approach to solving multi-parameter problems based on stigmergy, a type of collective work that can be observed in nature. In this paper we evaluate the performance of MASA regarding its applicability as numerical optimization techniques. The evaluation is performed with several widely used benchmarks functions, as well as on an industrial case study. We also compare the MASA with Differential Evolution, well-known numerical optimization algorithm. The average solution obtained with the MASA was better than a solution recently found using Differential Evolution.


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