Data driven production modeling and simulation of complex automobile general assembly plant

Wang, Junfeng; Chang, Qing; Xiao, Guoxian; Wang, Nan; Li, Shiqi

doi:10.1016/j.compind.2011.05.004

Cited by 105 publications

(53 citation statements)

References 26 publications

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“…On the other hand, the manufacturing processes are data driven, and their performance is represented using historical metered data. Similar approaches have previously been used to model the material and energy flows in production as they allow the rapidly modelling complex, changing manufacturing systems [42]. Where metered data was not available, a 'rough cut' approach was used to fill the missing gaps.…”

Section: Methodsmentioning

confidence: 99%

Towards Improved Energy and Resource Management in Manufacturing

2018

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Exergy analysis has widely been used to assess resource consumption, and to identify opportunities for improvement within manufacturing. The main advantages of this method are its ability to account for energy quality and consumption. However, its application in industrial practice is limited, which may be due to the lack of its consistent application in practice. Current energy management standard, that facilitate consistent application of procedures do not consider the quality aspects of energy flows. An exergy based energy management standards is proposed in this paper that would take into account energy quality aspects, while facilitating the consistent application of exergy analysis in industrial practice. Building on ISO50001, this paper presents guidelines for implementing energy and resource management in factories, incorporating the concepts of exergy and holistic factory simulation, as illustrated through a manufacturing case study. From the factory level analysis, a chilling process was identified to have significant improvement potential. A dry fan cooler, using ambient air was proposed for the improved efficiency of the chillers. Energy based metrics portrayed a system that operated at high efficiency, however exergy analysis indicated much room for further improvement, therefore impacting decision making for technology selection. The contribution of this paper is in presenting a set of prescriptive guidelines that could possibly be further developed into a new energy management standard that would utilize the advantages of exergy analysis towards improved energy and resource management in manufacturing.

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Section: Methodsmentioning

confidence: 99%

Towards Improved Energy and Resource Management in Manufacturing

2018

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“…AutoLogic-Assembly is a generic simulation model that has been developed to consider generalised logistics-embedded assembly lines. Wang et al [15] report a data-driven simulation methodology to automatically model a production system to be rapidly modified on an automobile assembly line. The system logic is outsourced through the Application Programming Interface (API) from the simulation software.…”

Section: Literature Reviewmentioning

confidence: 99%

Using 4-Layer Architecture to Simulate Product and Information Flows in Manufacturing Systems

Saez-Mas¹,

García-Sabater²,

Morant-Llorca³

2018

Int. j. simul. model.

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This work illustrates the application of novel simulation architecture with two case studies where the proposed architecture, the so-called 4-layer, allowed us to address the complexity of the analysed systems. The fundamental objective of this work is to show the structure of layers, how layers interact with one another and with the user, and what benefits this separation proposes. The first case study deals with moving car bodies from the paint plant to the assembly line through a sequencing system that involves distributed decision-making processes in an ASRS. The second case study focuses on analysing a layout of a section used to assemble the engine and transmission set, where the quality of the material flow is evaluated. The work highlights some of the advantages of modelling with 4-layer architecture, and explains the key processes that connect different elements.

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“…The integration of scheduling and simulation systems is performed using the method of automating the process of creating simulation models based on the concept of Data-driven simulation model generation, which are now the largest group among the developed concepts [5,6,7,8,9] The simulation model is created automatically simultaneously with its parameterization based on specific data instances obtained automatically from the planning and scheduling system. Generating (creating) the models could therefore be performed by users without knowledge of how to build the simulation model.…”

Section: The Integration Of Scheduling and Simulation Systemsmentioning

confidence: 99%

“…Generating (creating) the models could therefore be performed by users without knowledge of how to build the simulation model. In this approach to build a simulation model does not require the use of standard computer simulation tools (usually specific modules of simulation systems), which are used in conventional "manual" approach, because the model is built automatically using data analysis methods and algorithms processing [5,6,10,11].…”

Section: The Integration Of Scheduling and Simulation Systemsmentioning

confidence: 99%

Production planning and scheduling with material handling using modelling and simulation

et al. 2017

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Abstract. Increase flexibility of manufacturing requires implementation of effective planning IT tools. Planning and scheduling problems traditionally consider the production resources as the only constraints. Since the raw material and intermediate transferring times are relevant in relation to the production times, it is required to model the material handling equipment and its activities. The problem of scheduling subject to manufacturing and logistical constraints based on data-driven models generation method is presented. A KbRS and FlexSim systems are used as a scheduling tool.

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Data driven production modeling and simulation of complex automobile general assembly plant

Cited by 105 publications

References 26 publications

Towards Improved Energy and Resource Management in Manufacturing

Towards Improved Energy and Resource Management in Manufacturing

Using 4-Layer Architecture to Simulate Product and Information Flows in Manufacturing Systems

Production planning and scheduling with material handling using modelling and simulation

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