Data-driven simulation of the supply-chain—Insights from the aerospace sector

Tannock, J. D. T.; Cao, Bing; Farr, Richard S.; Byrne, Mike

doi:10.1016/j.ijpe.2007.02.018

Cited by 46 publications

(24 citation statements)

References 6 publications

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“…Clark and Cash [10] suggest that a model may be considered data-driven "when users can apply the model to different situations by changing input that only requires problem-domain knowledge with a minimal modelling knowledge requirement''. It also allows a wide variety of scenarios to be created so they can be explored relatively quickly and without having to acquire the level of simulation experience that is normally required [7]. These models can also be fully parameterised by providing data through a set of forms, tables, spreadsheets or templates [9].…”

Section: Literature Reviewmentioning

confidence: 99%

“…This requirement favours data-driven simulation, which Pidd [6] defined as "a generic model that is designed to be applied to a wide range of systems that have structural similarities" to complement those circumstances in which many similar models have to be evaluated [7]. Although data-driven simulation was developed to enhance the ability to simulate alternative scenarios, separating simulation model elements from data provides a step forward in how to build simulation models.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

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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“…Today, we see similar practices of designing and analyzing simulations across a wide spectrum of industries. Tannock et al (2007) describe concept and operation of a supply-chain model builder for aerospace manufacturing. Meng et al (2013) describe a data-driven modeling and simulation framework developed for material handling system of coal mines.…”

Section: Operating Policy Learning Via Simulation Optimizationmentioning

confidence: 99%

The role of learning on industrial simulation design and analysis

Biller¹,

Biller²,

Dülgeroğlu³

et al. 2017

2017 Winter Simulation Conference (WSC)

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The capability of modeling real-world system operations has turned simulation into an indispensable problemsolving methodology for business system design and analysis. Today, simulation supports decisions ranging from sourcing to operations to finance, starting at the strategic level and proceeding towards tactical and operational levels of decision-making. In such a dynamic setting, the practice of simulation goes beyond being a static problem-solving exercise and requires integration with learning. This article discusses the role of learning in simulation design and analysis motivated by the needs of industrial problems and describes how selected tools of statistical learning can be utilized for this purpose.

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“…Tools and techniques that can reduce the time that must be spent in model development are thus of considerable interest. One approach with considerable potential to reduce model development time is that of datadriven model construction, where a software tool creates a model directly from company ERP data (Tannock et al, 2007). This has been seen to create valid models of supply chains that can subsequently be used to examine their performance.…”

Section: Potential Benefits Of Simulationmentioning

confidence: 99%

“…The capability to examine the performance of future systems is of interest not only in the study of conceptual supply chains such as the work described in (Tannock et al, 2007), but also in less radical conceptual systems. For instance, manufacturers are likely to find it rewarding to study the performance of a present-day facility when operating under an alternative system of logistic control.…”

Section: Potential Benefits Of Simulationmentioning

confidence: 99%

A parametric approach to logistic control within manufacturing simulation

Farr

Tannock

Almgren

2010

IJISE

Self Cite

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Simulation offers a powerful way to investigate the boundaries of what can be achieved by a manufacturing system, demonstrating the impact of schedules and policy decisions such as the placement of buffers and the size of safety stocks. Unfortunately, the construction of factory models at the necessary level of detail is a time-consuming process, requiring specialist skills. This paper describes a novel approach to the representation of logistic control in the simulation of a business unit at Volvo Aero in Trollhättan, Sweden. Several innovative features were built into the model, making it possible for users who were not simulation experts to explore a broad range of scenarios. The resulting model architecture, as described in this paper, takes simulation out of the computer lab and places it in the hands of managers, as an enabler of the responsive enterprise.

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Data-driven simulation of the supply-chain—Insights from the aerospace sector

Cited by 46 publications

References 6 publications

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

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

The role of learning on industrial simulation design and analysis

A parametric approach to logistic control within manufacturing simulation

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