Towards Real-Time Data Acquisition for Simulation of Logistics Service Systems

Mutke, Stefan; Roth, Martin; Ludwig, André; Franczyk, Bogdan

doi:10.1007/978-3-642-41019-2_18

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…The acquisition of correct and robust information is an important success factor in the implementation of simulation projects. An initial approach for information acquisition in an integrated simulation approach for a 4PL was described in [31]. In this paper the use of service profiles for each LSP is discussed.…”

Section: A Simulation Approachmentioning

confidence: 99%

Real-timeservice profiling for the efficient simulation of logistics networks

Roth

Mutke

Klarmann

et al. 2014

2014 International Conference on Advanced Logistics and Transport (ICALT)

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Driven by rising competitive constraints companies began to outsource at least parts of their internal activities to specialized external logistics providers in terms of contracts. Thereby, new business models like the fourth party logistics provider evolved, who acts like coordinator of the emerging logistics networks. The main tasks of the provider are the planning, monitoring and measurement of such networks. In this contribution a holistic method to integrate process modeling and their simulation within the planning phase is introduced. Furthermore, an integrated approach to support the planning with real-time information to overcome the challenges from simulation is outlined. Due to this approach, the simulation generates more reliable results and contemporary reduces the effort using simulation techniques. Therefore, complex event processing is used to gather real-time information about process executions and provides this information as service profiles for simulation.

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Section: A Simulation Approachmentioning

confidence: 99%

Real-timeservice profiling for the efficient simulation of logistics networks

Roth

Mutke

Klarmann

et al. 2014

2014 International Conference on Advanced Logistics and Transport (ICALT)

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“…Despite having a process model and using this model as the basis for creating a simulation model, for simulation additional information as to the pure visualization of the processes is necessary. Therefore, it was analyzed in literature what information is additionally required to create a simulation model and what are the basic concepts (Entities, Events, Attributes, Activities and Delays) [MRLF13]. In addition to these basic concepts of DES, a simulation also has logistics-specific properties.…”

Section: Simulationmentioning

confidence: 99%

“…As the collection of correct and robust data is a crucial success factor in the implementation of simulation projects, the next section discusses a monitoring approach for logistics contracts during the operation phase of the service life cycle. An initial approach for data collection within an integrated simulation approach for a 4PL was already discussed in [MRLF13]. Although historical data can be used for the parameterization of simulation models more accurate data are preferred because of a better explanatory power of the simulation results.…”

Section: Simulationmentioning

confidence: 99%

Real-time information acquisition in a model-based integrated planning environment for logistics contracts.

Mutke¹,

Augenstein²,

Roth³

et al. 2015

JOT

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In the past, logistics used to be a core function of production and trading companies but many of them started to outsource at least parts of their logistics functions to specialized logistics service providers in terms of logistics contracts. With this, sophisticated business models such as value added logistics service providers evolved which focus on tasks of planning, coordination and monitoring of entire supply chains involving multiple logistics providers. Challenges remain though, for instance how a complex logistics contract can be planned and how it can be assured that the providers comply with the planned process. In this article, we present a conceptual as well as technical solution to the monitoring of logistics services and show how to reuse this information in a model for the integrated planning of logistics contracts. A simulation model thereby ensures validity of the overall planning. An approach for integrating different models helps to overcome the problem of utilizing multiple models. Finally, an example scenario shows how each part contributes to a successful planning process for logistics contracts. Keywords logistics; model integration; model transformation; planning; simulation; CEP; information acquisition.Stefan Mutke, Christoph Augenstein, Martin Roth, André Ludwig, Bogdan Franczyk. Real-time information acquisition in a model-based integrated planning environment for logistics contracts.

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“…Despite having a process model and using this model as the basis for creating a simulation model, for simulation additional information as to the pure visualization of the processes is necessary. Therefore, literature was analyzed concerning information that is additionally required to create a simulation model and relating basic concepts were derived (Entities, Events, Attributes, Activities and Delays) (Mutke et al, 2013b). In addition to these basic concepts of DES, a simulation also has logistics-specific properties.…”

Section: Generic Simulation Metamodelmentioning

confidence: 99%

Engineering and Evaluation of Process Alternatives in Tactical Logistics Planning

Glöckner

Mutke

Ludwig

2015

Proceedings of the 17th International Conference on Enterprise Information Systems

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The objective of tactical planning in logistics is the engineering and evaluation of processes within a given set of possible alternatives. Due to outsourcing and a division of labor, a high number of participants, available services and thus possible process alternatives arises within logistics networks. The additional wide range of service description and annotation methods result in a complex planning process. In order to support planning, a semi-automated approach is presented in this paper that is based on a combined catalog and construction system (for engineering) and a generic simulation approach (for evaluation) that are able to handle the variety of description and annotation methods. The basic concepts are presented and afterward associated by a modeldriven approach in order to connect them and make them compatible to work with each other. Finally, a method is developed to foster a semi-automated engineering and evaluation of process alternatives.

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Towards Real-Time Data Acquisition for Simulation of Logistics Service Systems

Cited by 6 publications

References 17 publications

Real-timeservice profiling for the efficient simulation of logistics networks

Real-timeservice profiling for the efficient simulation of logistics networks

Real-time information acquisition in a model-based integrated planning environment for logistics contracts.

Engineering and Evaluation of Process Alternatives in Tactical Logistics Planning

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