Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production
| Autor: | Béla Illés, Faiza Manzoor, Tamás Bányai, Ágota Bányai, Norge Isaias Coello Machado, Péter Tamás, Elke Glistau |
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| Rok vydání: | 2019 |
| Předmět: |
assembly
matrix production 0209 industrial biotechnology Optimization problem Computer science Scheduling (production processes) Context (language use) emission reduction 02 engineering and technology lcsh:Technology sustainable in-plant supply lcsh:Chemistry 020901 industrial engineering & automation digital twin technology floral pollination algorithm 0202 electrical engineering electronic engineering information engineering Production (economics) General Materials Science lcsh:QH301-705.5 Instrumentation Fluid Flow and Transfer Processes lcsh:T Process Chemistry and Technology General Engineering Cyber-physical system Grid Industrial engineering lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 black hole optimization 020201 artificial intelligence & image processing Routing (electronic design automation) lcsh:Engineering (General). Civil engineering (General) Heuristics lcsh:Physics clustering |
| Zdroj: | Applied Sciences Volume 9 Issue 7 Applied Sciences, Vol 9, Iss 7, p 1287 (2019) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app9071287 |
| Popis: | In the context of Industry 4.0, the matrix production concept represents revolutionary solutions from a technological and logistics point of view. In a matrix production system, flexible, configurable production and assembly cells are arranged in a grid layout, and the in-plant supply is based on autonomous vehicles. Adaptable and flexible material handling solutions are required to perform the dynamically changing supply-demands of standardized and categorized manufacturing and assembly cells. Within the frame of this paper, the authors describe the in-plant supply process of matrix production and the optimization potential in these processes. After a systematic literature review, this paper introduces the structure of matrix production as a cyber-physical system focusing on logistics aspects. A mathematical model of this in-plant supply process is described including extended and real-time optimization from routing, assignment, and scheduling points of view. The optimization problem described in the model is an NP-hard problem. There are no known efficient analytical methods to find the best solution for this kind of problem therefore, we use heuristics to find a suitable solution for the above-described problem. Next, a sequential black hole&ndash floral pollination heuristic algorithm is described. The scenario analysis, which focuses on the clustering and routing aspects of supply demands in a matrix production system, validates the model and evaluates its performance to increase cost-efficiency and warrants environmental awareness of the in-plant supply in matrix production. |
| Databáze: | OpenAIRE |
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