| 1. |
- Aslam, Tehseen, et al.
(författare)
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Strategy evaluation using system dynamics and multi-objective optimization for an internal supply chain
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, NJ, USA : IEEE Press. - 9781467397438 ; , s. 2033-2044
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Konferensbidrag (refereegranskat)abstract
- System dynamics, which is an approach built on information feedbacks and delays in the model in order to understand the dynamical behavior of a system, has successfully been implemented for supply chain management problems for many years. However, research within in multi-objective optimization of supply chain problems modelled through system dynamics has been scares. Supply chain decision making is much more complex than treating it as a single objective optimization problem due to the fact that supply chains are subjected to the multiple performance measures when optimizing its process. This paper presents an industrial application study utilizing the simulation based optimization framework by combining system dynamics simulation and multi-objective optimization. The industrial study depicts a conceptual system dynamics model for internal logistics system with the aim to evaluate the effects of different material flow control strategies by minimizing total system work-on-process as wells as total delivery delay.
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| 2. |
- Bandaru, Sunith, 1984-, et al.
(författare)
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On the scalability of meta-models in simulation-based optimization of production systems
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, NJ : IEEE Press. - 9781467397438 ; , s. 3644-3655
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Konferensbidrag (refereegranskat)abstract
- Optimization of production systems often involves numerous simulations of computationally expensive discrete-event models. When derivative-free optimization is sought, one usually resorts to evolutionary and other population-based meta-heuristics. These algorithms typically demand a large number of objective function evaluations, which in turn, drastically increases the computational cost of simulations. To counteract this, meta-models are used to replace expensive simulations with inexpensive approximations. Despite their widespread use, a thorough evaluation of meta-modeling methods has not been carried out yet to the authors' knowledge. In this paper, we analyze 10 different meta-models with respect to their accuracy and training time as a function of the number of training samples and the problem dimension. For our experiments, we choose a standard discrete-event model of an unpaced flow line with scalable number of machines and buffers. The best performing meta-model is then used with an evolutionary algorithm to perform multi-objective optimization of the production model.
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| 3. |
- Bernedixen, Jacob, et al.
(författare)
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Simulation-based multi-objective bottleneck improvement : Towards an automated toolset for industry
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Press Piscataway, NJ : IEEE Press. - 9781467397438 ; , s. 2183-2194
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Konferensbidrag (refereegranskat)abstract
- Manufacturing companies of today are under pressure to run their production most efficiently in order to sustain their competitiveness. Manufacturing systems usually have bottlenecks that impede their performance, and finding the causes of these constraints, or even identifying their locations, is not a straightforward task. SCORE (Simulation-based COnstraint REmoval) is a promising method for detecting and ranking bottlenecks of production systems, that utilizes simulation-based multi-objective optimization (SMO). However, formulating a real-world, large-scale industrial bottleneck analysis problem into a SMO problem using the SCORE-method manually include tedious and error-prone tasks that may prohibit manufacturing companies to benefit from it. This paper presents how the greater part of the manual tasks can be automated by introducing a new, generic way of defining improvements of production systems and illustrates how the simplified application of SCORE can assist manufacturing companies in identifying their production constraints.
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| 4. |
- Frantzén, Marcus, et al.
(författare)
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Production simulation education using rapid modeling and optimization : Successful studies
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, NJ : IEEE Press. - 9781467397438 ; , s. 3526-3537
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Konferensbidrag (refereegranskat)abstract
- A common issue facing many simulation educators is that students usually spend excessive time to struggle with the programming and statistic parts of the simulation courses, and simply very little time to learn running systems analysis. If the students are coming from industry, and not the campus, then the problem becomes even worse. We observed this problem around 2005 and started to develop a new simulation software, a factory conceptual design toolset, partly aimed to address this problem. A new set of educational courses has since then been developed around the software for teaching production systems analysis, with both the campus students and managers/engineers from industry in mind. In this paper, we briefly introduce the software and share our experiences and some representative, successful studies conducted by the students in the past years.
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| 5. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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Lean, Simulation and Optimization : A Win-Win combination
- 2016
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, New Jersey : IEEE Computer Society. - 9781467397438 - 9781467397414 - 9781467397421 ; , s. 2227-2238
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Konferensbidrag (refereegranskat)abstract
- Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other´s limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.
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| 6. |
- Karlsson, Ingemar, et al.
(författare)
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An interactive decision support system using simulation-based optimization and data mining
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - : IEEE Press. - 9781467397438 ; , s. 2112-2123
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Konferensbidrag (refereegranskat)abstract
- This paper describes a decision support system (DSS) built on knowledge extraction using simulation-based optimization and data mining. The paper starts with a requirements analysis based on a survey conducted with a number of industrial companies about their practices of using simulations for decision support.Based upon the analysis, a new, interactive DSS that can fulfill the industrial requirements, is proposed.The design of the cloud-based system architecture of the DSS is then described. To show the functionality and potential of the proposed DSS, an application study has been performed for the optimal design of a hypothetical but realistic flexible production cell. How important knowledge with respect to different preferences of the decision maker can be generated as rules, using the new Flexible Pattern Mining algorithm provided in the DSS, will be revealed by the results of this application study.
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| 7. |
- Pehrsson, Leif, et al.
(författare)
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Aggregated line modeling for simulation and optimization of manufacturing systems
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, NJ, USA : IEEE Press. - 9781467397438 ; , s. 3632-3643
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Konferensbidrag (refereegranskat)abstract
- In conceptual analysis of higher level manufacturing systems, for instance, when the constraint on system level is sought, it may not be very practical to use detailed simulation models. Developing detailed models on supply chain level or plant wide level may be very time consuming and might also be computationally costly to execute, especially if optimization techniques are to be applied. Aggregation techniques, simplifying a detailed system into fewer objects, can be an effective method to reduce the required computational resources and to shorten the development time. An aggregated model can be used to identify the main system constraints, dimensioning inter-line buffers, and focus development activities on the critical issues from a system performance perspective. In this paper a novel line aggregation technique suitable for manufacturing systems optimization is proposed, analyzed and tested in order to establish a proof of concept while demonstrating the potential of the technique.
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| 8. |
- Raghothama, Jayanth, et al.
(författare)
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Distributed, integrated and interactive traffic simulations
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - : IEEE. - 9781467397438
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Konferensbidrag (refereegranskat)abstract
- Mainstream discourse in urban planning is in transition, due to shifts from a technical to a communicativeperspective, and increased scrutiny and criticism of models and simulations. The cognizance of complexityin urban systems is imposing limitations on modeling. The added benefits of today’s data and compu-tational power make simulations harder to validate and understand. Reconciling the movements towardsa communicative and exploratory approach as compared to a technical and predictive approach requiresnew methods for planning process and posits new requirements and functions for simulations. Based ondistributed simulation and gaming simulation, the paper presents a framework to support the exploration ofsimulated and realistic virtual worlds in a participatory fashion, enabling new approaches to urban planning.The development and evaluation of the framework casts simulations in a new perspective and explores thecontext of use of simulations in planning and design.
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| 9. |
- Van Den Hoogen, J., et al.
(författare)
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Lessons on the design of gaming simulations for convergence and divergence in volatile innovation environments
- 2016
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Ingår i: Proceedings - Winter Simulation Conference. - : IEEE conference proceedings. - 9781467397438 ; , s. 1044-1055
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Konferensbidrag (refereegranskat)abstract
- Gaming simulation allows innovation stakeholders to experiment with innovations in a shielded environment. The main contribution to innovation processes is not solely the provision of knowledge to stakeholders but also the manipulation of process volatility. Volatility is the speed and magnitude by which innovations, stakeholders and institutions change during the process, creating unpredictability and uncontrollability. This paper posits that a more even distribution of volatility over time is beneficial and that gaming simulation is able to contribute to this. The use of games allows innovation managers to front-load volatility beforehand or diminish it when it occurs. Crucial is that both effects demand from games qualitatively different design choices. This paper distills, from a multitude of gaming experiments in the U.K. And Dutch railroad sector, a set of design choices to consider. This enables game designers and innovation managers to improve the impact of gaming simulation on innovation processes.
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| 10. |
- Zomer, Lara-Britt, et al.
(författare)
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A Meta-Model for Including Social Behavior and Data into Simulation in the Smart City Context
- 2015
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Ingår i: Proceedings of the 2015 Winter Simulation Conference. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781467397438 ; , s. 1705-1716
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Konferensbidrag (refereegranskat)abstract
- mart city management can be regarded to bridge different realms of thinking about cities, i.e., 1) the city as complex-adaptive system, 2) socio-technical operational control center and 3) multi-actor policy-making. Underpinned by different world views and theoretical bodies, integration of the three realms puts forward new demands on simulation approaches and challenges current knowledge and available technology regarding integration of sub-models across different systems. In order to support urban transportation management, a holistic approach is needed that semantically connects the three realms by incorporation of human behavior and knowledge. Combining research on knowledge management and computer science, this paper presents a novel meta-framework as socio-technical hybrid simulation language to generalize integration of simulations, gaming and data for modeling urban transportation.
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