Integration of Factory Planning and ERP/MES Systems: Adaptive Simulation Models

Mertins, Kai; Rabe, Markus; Gocev, Pavel

doi:10.1007/978-0-387-77249-3_19

Cited by 11 publications

(7 citation statements)

References 5 publications

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“…Most of the found case studies (see Table 1) used customised data tables as input for their simulation approaches, which complicates the implementation in industrial processes. However, Wang et al [47] and Mertins et al [48] use ERP and MES data for generic simulation models. ERP and MES data usage enable digital twin modelling, especially for enterprises without sufficient knowledge and programming know-how.…”

Section: Related Literature For Generic Simulation Modellingmentioning

confidence: 99%

Concept and Case Study for a Generic Simulation as a Digital Shadow to Be Used for Production Optimisation

et al. 2021

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Optimising an existing production plant is a challenging task for companies. Necessary physical test runs disturb running production processes. Simulation models are one opportunity to limit these physical test runs. This is particularly important since today’s fast and intelligent networking opportunities in production systems are in line with the call of Industry 4.0 for substantial and frequent changes. Creating simulation models for those systems requires high effort and in-depth knowledge of production processes. In the current literature, digital twins promise several advantages for production optimisation and can be used to simulate production systems, which reduce necessary physical test runs and related costs. While most companies are not able to create digital twins yet, companies using enterprise resource planning (ERP) systems have the general capability to create digital shadows. This paper presents a concept and a case study for a generic simulation of production systems in AnyLogic™ to create digital shadows as the first step towards a full digital twin. The generic simulation visualises production systems automatically and displays key performance indicators (KPIs) for the planned production program, using representational state transfer (REST) interfaces to extract product and production data from an ERP system. The case study has been applied in a learning factory of the University of Applied Life Sciences Emden/Leer. The results prove the presented concept of the generic simulation and show the limits and challenges of working with generic simulation models.

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Section: Related Literature For Generic Simulation Modellingmentioning

confidence: 99%

Concept and Case Study for a Generic Simulation as a Digital Shadow to Be Used for Production Optimisation

et al. 2021

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“…As identified from several references approaching the virtual area of quality management in manufacturing, simulation also plays an important role for vQM in developing models capable to foresee, adapt to, and optimize different scenarios by analyzing existing data [57], to increase efficiency and implement sustainable development [58] or even to reproduce measurement uncertainty due to temperature, humidity or other external influences [59]. Moreover, the approach proposed by Reference [60], regarding stochastic simulations for tolerance analysis "contributes to the improvement of virtual quality assessment", which in this case, takes place already in the design stage of a product's life cycle.…”

Section: Virtual Quality Management (Vqm)mentioning

confidence: 99%

Hit or Miss? Evaluating the Potential of a Research Niche: A Case Study in the Field of Virtual Quality Management

et al. 2019

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When knowledge is developed fast, as it is the case so often nowadays, one of the main difficulties in initiating new research in any field is to identify the domain's specific state-of-the-art and trends. In this context, to evaluate the potential of a research niche by assisting the literature review process and to add a new and modern large-scale and automated dimension to it, the paper proposes a methodology that uses "Latent Semantic Analysis" (LSA) for identifying trends, focused within the knowledge space created at the intersection of three sustainability-related methodologies/concepts: "virtual Quality Management" (vQM), "Industry 4.0", and "Product Life-Cycle" (PLC). The LSA was applied to a significant number of scientific papers published around these concepts to generate ontology charts that describe the knowledge structure of each by the frequency, position, and causal relation of associated notions. These notions are combined for defining the common high-density knowledge zone from where new technological solutions are expected to emerge throughout the PLC. The authors propose the concept of the knowledge space, which is characterized through specific descriptors with their own evaluation scales, obtained by processing the emerging information as identified by a combination of classic and innovative techniques. The results are validated through an investigation that surveys a relevant number of general managers, specialists, and consultants in the field of quality in the automotive sector from Romania. This practical demonstration follows each step of the theoretical approach and yields results that prove the capability of the method to contribute to the understanding and elucidation of the scientific area to which it is applied. Once validated, the method could be transferred to fields with similar characteristics. Even if their creators endowed them with a clear meaning at an incipient stage, when they become more popular in an emerging area, these concepts are quickly surrounded by a large amount of new knowledge that is developed with an amazing speed, enriching and enlarging their initial sphere.The "virtual Quality Management" (vQM) concept could be a significant example for the circumstances described previously. It is born through a semantic operation, joining two established and mature concepts: "virtual" and "QM", thus it is representative for an area which is in a period of high dynamic development and of interest for companies preoccupied with sustainability from the perspective of operations management and organizational culture.In this context in which the amount of information relating to new concepts quickly reaches unmanageable levels, regardless of the field, solutions that can analyze extended documentation with the purpose of disambiguating information and capturing the essentials, thus creating knowledge, become the focus of attention and gain in importance. Traditional solutions for that purpose lay in the literature review process, trying to collect, select, filter, and struc...

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“…or/and auxiliary resources. Parameterization of the simulation model is carried out using data on orders planned to be executed in the production system [16][17][18][19]. The approach proposed in this paper constitutes a development of the above-mentioned concept of the ability to automatically generate simulation models that could be implemented in advanced commercial systems simulation with 3D visualization of processes flow in the system.…”

Section: Introductionmentioning

confidence: 99%

ERP, APS and Simulation Systems Integration to Support Production Planning and Scheduling

Krenczyk

Jagodziński

2015

Advances in Intelligent Systems and Computing

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The paper presents a method of the integration of ERP and advanced planning and scheduling (APS) systems extended with automatic generators of simulation models. The approach allows the use of simulation and visualization for rapid verification of production plans. Both integration module and model generator use data exchange and data transformation methods. The concept of data-driven modeling also allows to verify the obtained solution in terms of quality of production flow with full visualization of the processes occurring in the system. A practical example of simulation verification of a solution achieved in the APS system, using the method of automatic generation of simulation models has been shown. During the verification phase of the implemented methodology, the IFS Application -ERP system, Production Order Verification System (SWZ) for multi-assortment, concurrent production planning and Enterprise Dynamics simulation system integration have been used.

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Integration of Factory Planning and ERP/MES Systems: Adaptive Simulation Models

Cited by 11 publications

References 5 publications

Concept and Case Study for a Generic Simulation as a Digital Shadow to Be Used for Production Optimisation

Concept and Case Study for a Generic Simulation as a Digital Shadow to Be Used for Production Optimisation

Hit or Miss? Evaluating the Potential of a Research Niche: A Case Study in the Field of Virtual Quality Management

ERP, APS and Simulation Systems Integration to Support Production Planning and Scheduling

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