Pub Date : 2013-12-01DOI: 10.1109/WSC.2013.6721401
R. Nance
Reflections and recollections spanning a professional lifetime disclose a number of the usual or expected influencing factors or aspects by which an individual's career might be characterized, perhaps even gauged. Persons, projects, organizations, events, and technology advances are familiar shapers of a professional record. However, a surprising factor in this chronology is the role of a classical problem: machine interference or machine repair. This persistent problem recurs at various junctures, sometimes quite subtly at other times rather starkly, throughout the past 50 years. Descriptions of the effects of the expected factors are intertwined with the machine interference problem in this recap of a career in computer simulation and software engineering.
{"title":"Simulation and software through 50 years","authors":"R. Nance","doi":"10.1109/WSC.2013.6721401","DOIUrl":"https://doi.org/10.1109/WSC.2013.6721401","url":null,"abstract":"Reflections and recollections spanning a professional lifetime disclose a number of the usual or expected influencing factors or aspects by which an individual's career might be characterized, perhaps even gauged. Persons, projects, organizations, events, and technology advances are familiar shapers of a professional record. However, a surprising factor in this chronology is the role of a classical problem: machine interference or machine repair. This persistent problem recurs at various junctures, sometimes quite subtly at other times rather starkly, throughout the past 50 years. Descriptions of the effects of the expected factors are intertwined with the machine interference problem in this recap of a career in computer simulation and software engineering.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121095469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudia Ribeiro, J. Borbinha, J. Tribolet, J. Pereira
There is no doubt around the dynamics and uncertainty characterizing organizations and their environments. Consequently, contemporary organizational thinking has evolved to embrace paradigms supported by complexity theory and its principles. Complexity theory involves the study of many actors and their interactions. One of the central topics regarding interaction between self-interested agents is cooperation. Cooperation is crucial for societies and organizations, since it allows the creation of common goods that no single individual could establish alone. However, this situation itself presents a dilemma, because as the creation of these goods requires an individual effort and the result is shared by everyone, there is the temptation to make an individual contribution as little as possible and receive as much of the result as one can. The problem of how can cooperation emerge in a organization of self-interested individuals is one of the central questions addressed by social sciences, game theory, political science and behavioural and evolutionary economics. The study of large number of actors with changing patterns of interaction often gets too difficult for a mathematical solution, therefore other type of solutions need to be used. A primary research tool of complexity theory is computer simulation. The basic underlying function of this tool is to specify how the agents interact, and then observe properties that occur at the level of the whole organization. The simulation of agents and their interactions is known as agent-based modelling (ABM) (Miller and Page 2007). Although agent-based modelling employs simulation, it does not aim to provide an accurate representation of a particular empirical application (Axelrod 1997). Instead, the goal of agent-based modelling is to enrich our understanding of fundamental processes that may appear in a variety of applications. This is the assumptions underlying the proposal described in this paper. To represent the functioning of an organization DEMO's Ψ-theory (Dietz 2006) was used. The Ψ-theory explains how and why people cooperate and communicate. It postulates that the operation of an organization can be expressed by a specification of the commitments that the organizational subjects enter into and comply with. Based on this theory and concepts developed in Game Theory this paper proposes a agent-based simulation with an underlying conceptual model that allows to experiment and analyse the different patterns that emerge when organizational subjects use different kind of strategies to handle commitments to produce organizational output.
毫无疑问，动态和不确定性是组织及其环境的特征。因此，当代组织思维已经发展到包含由复杂性理论及其原理支持的范式。复杂性理论涉及对许多行动者及其相互作用的研究。关于自利主体之间互动的中心主题之一是合作。合作对社会和组织至关重要，因为它可以创造出任何个人都无法单独创造的共同利益。然而，这种情况本身就呈现出一种困境，因为这些商品的创造需要个人的努力，而结果是由每个人分享的，因此存在一种诱惑，即尽可能少地做出个人贡献，而获得尽可能多的结果。合作如何在一个由自利个体组成的组织中出现，是社会科学、博弈论、政治学、行为与进化经济学研究的核心问题之一。研究大量具有不断变化的交互模式的参与者通常对于数学解决方案来说过于困难，因此需要使用其他类型的解决方案。复杂性理论的主要研究工具是计算机模拟。此工具的基本底层功能是指定代理如何交互，然后观察整个组织级别上发生的属性。代理及其相互作用的模拟被称为基于代理的建模(ABM) (Miller and Page 2007)。虽然基于主体的建模采用了仿真，但它的目的不是提供特定经验应用的准确表示(Axelrod 1997)。相反，基于代理的建模的目标是丰富我们对可能出现在各种应用程序中的基本过程的理解。这是本文所述建议的基本假设。为了表示组织的运作，使用DEMO的Ψ-theory (Dietz 2006)。Ψ-theory解释了人们如何以及为什么要合作和沟通。它假设一个组织的运作可以通过组织主体进入并遵守的承诺的规范来表达。基于这一理论和博弈论中发展的概念，本文提出了一个基于主体的模拟，它具有一个潜在的概念模型，允许实验和分析当组织主体使用不同类型的策略来处理承诺以产生组织产出时出现的不同模式。
{"title":"Using agent-based simulation to understand cooperation in business organizational settings","authors":"Claudia Ribeiro, J. Borbinha, J. Tribolet, J. Pereira","doi":"10.5555/2429759.2430234","DOIUrl":"https://doi.org/10.5555/2429759.2430234","url":null,"abstract":"There is no doubt around the dynamics and uncertainty characterizing organizations and their environments. Consequently, contemporary organizational thinking has evolved to embrace paradigms supported by complexity theory and its principles.\u0000 Complexity theory involves the study of many actors and their interactions. One of the central topics regarding interaction between self-interested agents is cooperation. Cooperation is crucial for societies and organizations, since it allows the creation of common goods that no single individual could establish alone. However, this situation itself presents a dilemma, because as the creation of these goods requires an individual effort and the result is shared by everyone, there is the temptation to make an individual contribution as little as possible and receive as much of the result as one can. The problem of how can cooperation emerge in a organization of self-interested individuals is one of the central questions addressed by social sciences, game theory, political science and behavioural and evolutionary economics.\u0000 The study of large number of actors with changing patterns of interaction often gets too difficult for a mathematical solution, therefore other type of solutions need to be used. A primary research tool of complexity theory is computer simulation. The basic underlying function of this tool is to specify how the agents interact, and then observe properties that occur at the level of the whole organization. The simulation of agents and their interactions is known as agent-based modelling (ABM) (Miller and Page 2007).\u0000 Although agent-based modelling employs simulation, it does not aim to provide an accurate representation of a particular empirical application (Axelrod 1997). Instead, the goal of agent-based modelling is to enrich our understanding of fundamental processes that may appear in a variety of applications. This is the assumptions underlying the proposal described in this paper. To represent the functioning of an organization DEMO's Ψ-theory (Dietz 2006) was used. The Ψ-theory explains how and why people cooperate and communicate. It postulates that the operation of an organization can be expressed by a specification of the commitments that the organizational subjects enter into and comply with. Based on this theory and concepts developed in Game Theory this paper proposes a agent-based simulation with an underlying conceptual model that allows to experiment and analyse the different patterns that emerge when organizational subjects use different kind of strategies to handle commitments to produce organizational output.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115055186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastian Nähring, Carsten Maus, Roland Ewald, A. Uhrmacher
Automated transformation between modeling languages is often useful, e.g., to make tools (like simulators) based on one language applicable to models defined in other languages. However, several problems arise when the expressive powers of the modeling languages differ. We consider the automated transformation between models specified in the systems biology markup language (SBML) and ML-Rules, a rule-based multilevel modeling language. While both languages allow for modeling aspects that cannot be expressed in its counterpart and thus prevent a complete and fully automated transformation, it is still possible to transform many useful classes of models. Even more models can be transformed by relying on certain heuristics or user input.
{"title":"Automated transformation between modeling languages with different expressiveness: challenges and results from a use case with SBML and ML-Rules","authors":"Sebastian Nähring, Carsten Maus, Roland Ewald, A. Uhrmacher","doi":"10.5555/2429759.2430245","DOIUrl":"https://doi.org/10.5555/2429759.2430245","url":null,"abstract":"Automated transformation between modeling languages is often useful, e.g., to make tools (like simulators) based on one language applicable to models defined in other languages. However, several problems arise when the expressive powers of the modeling languages differ. We consider the automated transformation between models specified in the systems biology markup language (SBML) and ML-Rules, a rule-based multilevel modeling language. While both languages allow for modeling aspects that cannot be expressed in its counterpart and thus prevent a complete and fully automated transformation, it is still possible to transform many useful classes of models. Even more models can be transformed by relying on certain heuristics or user input.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128662357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simulation is used increasingly throughout research and development for many purposes. While model output is often the primary interest, insights into the system gained through the simulation process can also be valuable. These insights can come from building and validating the model as well as analyzing its behaviors and output; however, much that could be informative may not be easily discernible through traditional approaches, particularly for complex models. The author is developing an analysis tool to provide simulation modelers with additional information about the models they are using. The focus is to extend the information available. A key component is a compiler for a C-like language in which modelers specify (code) their models. With the ability to directly monitor and record interactions, additional information could be presented to the modeler in order to facilitate new insights.
{"title":"A forthcoming useful tool: enhancing understanding of models through analysis","authors":"Kara A. Olson","doi":"10.5555/2429759.2430171","DOIUrl":"https://doi.org/10.5555/2429759.2430171","url":null,"abstract":"Simulation is used increasingly throughout research and development for many purposes. While model output is often the primary interest, insights into the system gained through the simulation process can also be valuable. These insights can come from building and validating the model as well as analyzing its behaviors and output; however, much that could be informative may not be easily discernible through traditional approaches, particularly for complex models.\u0000 The author is developing an analysis tool to provide simulation modelers with additional information about the models they are using. The focus is to extend the information available. A key component is a compiler for a C-like language in which modelers specify (code) their models. With the ability to directly monitor and record interactions, additional information could be presented to the modeler in order to facilitate new insights.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133107847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the fishing year 2012 a new regulation was enforced in the Icelandic lumpsucker fishery which made it obligatory for fishermen to land everything they catch. Before 2012 the common practice involved cutting the fish belly open on-board, removing the roe sac and then discarding the flesh as it has had little commercial value. A bio-economic model of the lumpsucker fishery was constructed and simulated for the next 25 years with the aim of assessing the impact of this non-discard policy on the profitability margin of the fishery and the number of jobs within the fishery. A system dynamics approach was applied; a causal loop diagram was developed describing how variables affect one another followed by model implementation in Stella.
{"title":"Simulating the impact of policy changes in Icelandic lumpsucker fishery","authors":"Sigríður Sigurðardóttir, Kristófer Gunnlaugsson","doi":"10.5555/2429759.2430251","DOIUrl":"https://doi.org/10.5555/2429759.2430251","url":null,"abstract":"In the fishing year 2012 a new regulation was enforced in the Icelandic lumpsucker fishery which made it obligatory for fishermen to land everything they catch. Before 2012 the common practice involved cutting the fish belly open on-board, removing the roe sac and then discarding the flesh as it has had little commercial value. A bio-economic model of the lumpsucker fishery was constructed and simulated for the next 25 years with the aim of assessing the impact of this non-discard policy on the profitability margin of the fishery and the number of jobs within the fishery. A system dynamics approach was applied; a causal loop diagram was developed describing how variables affect one another followed by model implementation in Stella.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127994674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Emulate3D product range is designed to fulfil the requirements of industrial engineers working with a wide range of partly or fully automated projects including warehousing, distribution, production and baggage handling. Emulate3D products are used for many purposes by different departments at various times throughout the project lifecycle, and an efficient workflow is made possible by employing the same core model throughout. Increasing time and resource constraints imposed upon project managers mean that the broad brush academic approach offered by classic simulation products is no longer appropriate within industry, and that the tools of tomorrow will be more task-specific, and quicker to put into useful operation. Emulate3D products are matched to the skill sets of their target users, and aim to reduce the learning curve and increase first-look familiarity.
{"title":"Introduction to Emulate3D: emulation, simulation, and demonstration","authors":"I. McGregor","doi":"10.5555/2429759.2430322","DOIUrl":"https://doi.org/10.5555/2429759.2430322","url":null,"abstract":"The Emulate3D product range is designed to fulfil the requirements of industrial engineers working with a wide range of partly or fully automated projects including warehousing, distribution, production and baggage handling. Emulate3D products are used for many purposes by different departments at various times throughout the project lifecycle, and an efficient workflow is made possible by employing the same core model throughout. Increasing time and resource constraints imposed upon project managers mean that the broad brush academic approach offered by classic simulation products is no longer appropriate within industry, and that the tools of tomorrow will be more task-specific, and quicker to put into useful operation. Emulate3D products are matched to the skill sets of their target users, and aim to reduce the learning curve and increase first-look familiarity.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124556610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We present a general simulation framework designed to model the Polish regional emergency hospital services system. Based partly on the last year's demand and structure, the National Health Fund grants contracts for admission units and emergency wards (AU/EW) to cover the next year's costs of treatment of acute patients. The hybrid simulation model examines the impact of forecasted regional demographic fluctuations on the expected type, volume, and cost of medical procedures for patients in emergency departments. Two simulation models are developed. A Monte Carlo model examines the influence of the observed demographic trends on the volume of emergency demand directed toward AU/EW in the region. The discrete-event model simulates patients' pathways and received services. The model's output may help healthcare decision makers to estimate future needs for emergency hospital care that must be satisfied at the regional level.
{"title":"Using simulation to forecast the demand for hospital emergency services at the regional level","authors":"B. Mielczarek, Justyna Uzialko-Mydlikowska","doi":"10.5555/2429759.2430232","DOIUrl":"https://doi.org/10.5555/2429759.2430232","url":null,"abstract":"We present a general simulation framework designed to model the Polish regional emergency hospital services system. Based partly on the last year's demand and structure, the National Health Fund grants contracts for admission units and emergency wards (AU/EW) to cover the next year's costs of treatment of acute patients. The hybrid simulation model examines the impact of forecasted regional demographic fluctuations on the expected type, volume, and cost of medical procedures for patients in emergency departments. Two simulation models are developed. A Monte Carlo model examines the influence of the observed demographic trends on the volume of emergency demand directed toward AU/EW in the region. The discrete-event model simulates patients' pathways and received services. The model's output may help healthcare decision makers to estimate future needs for emergency hospital care that must be satisfied at the regional level.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"19 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114133674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-12-09DOI: 10.1109/WSC.2012.6464975
T. Henzinger
Joint work with Maria Mateescu. Propagation models provide a framework for describing algorithms for the transient analysis of stochastic state transition systems, such as computing event probabilities, expectancies, and variances on biochemical reaction networks. We discuss the syntax, semantics, and pragmatics of propagation models. We give three use cases for propagation models: the chemical master equation, the reaction rate equation, and a hybrid method that combines these two equations. We present a propagation abstract data type (ADT) for implementing uniformization and integration algorithms on propagation models. The propagation ADT is based on an update operator, which propagates continuous mass values through a discrete state space. The update operator can be implemented using a threshold abstraction, which propagates only "significant" mass values and thus achieves a controllable compromise between efficiency and accuracy.
{"title":"Keynote on \"the propagation approach for computing biochemical reaction networks\"","authors":"T. Henzinger","doi":"10.1109/WSC.2012.6464975","DOIUrl":"https://doi.org/10.1109/WSC.2012.6464975","url":null,"abstract":"Joint work with Maria Mateescu.\u0000 Propagation models provide a framework for describing algorithms for the transient analysis of stochastic state transition systems, such as computing event probabilities, expectancies, and variances on biochemical reaction networks. We discuss the syntax, semantics, and pragmatics of propagation models. We give three use cases for propagation models: the chemical master equation, the reaction rate equation, and a hybrid method that combines these two equations. We present a propagation abstract data type (ADT) for implementing uniformization and integration algorithms on propagation models. The propagation ADT is based on an update operator, which propagates continuous mass values through a discrete state space. The update operator can be implemented using a threshold abstraction, which propagates only \"significant\" mass values and thus achieves a controllable compromise between efficiency and accuracy.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131685641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-12-11DOI: 10.1109/WSC.2011.6147978
J. Ahn, C. Sung, T. Kim
Data Distribution Management (DDM) is one of the High Level Architecture (HLA) services that reduce message traffic over the network. The major purpose of the DDM is to filter the exchange of data between federates during a federation. However, this traffic reduction usually suffers from higher computational overhead when calculating the intersection between update regions and subscription regions in a matching process. In order to reduce the computational overhead for the matching process, this paper proposes a binary partition-based matching algorithm for DDM in the HLA-based distributed simulation. The new matching algorithm is fundamentally based on a divide-and-conquer approach. The proposed algorithm recursively performs binary partitioning which divides the regions into two partitions that entirely cover those regions. This approach promises low computational overhead, since it does not require unnecessary comparisons within regions in different partitions. The experimental results show that the proposed algorithm performs better than the existing DDM matching algorithms and improves the scalability of the DDM.
{"title":"A binary partition-based matching algorithm for data distribution management","authors":"J. Ahn, C. Sung, T. Kim","doi":"10.1109/WSC.2011.6147978","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147978","url":null,"abstract":"Data Distribution Management (DDM) is one of the High Level Architecture (HLA) services that reduce message traffic over the network. The major purpose of the DDM is to filter the exchange of data between federates during a federation. However, this traffic reduction usually suffers from higher computational overhead when calculating the intersection between update regions and subscription regions in a matching process. In order to reduce the computational overhead for the matching process, this paper proposes a binary partition-based matching algorithm for DDM in the HLA-based distributed simulation. The new matching algorithm is fundamentally based on a divide-and-conquer approach. The proposed algorithm recursively performs binary partitioning which divides the regions into two partitions that entirely cover those regions. This approach promises low computational overhead, since it does not require unnecessary comparisons within regions in different partitions. The experimental results show that the proposed algorithm performs better than the existing DDM matching algorithms and improves the scalability of the DDM.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125590433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-09-01DOI: 10.1515/polyeng.2011.087
María Guadalupe Villarreal Marroquín, J. Castro, M. Cabrera-Ríos
Abstract Injection molding is the most important process for mass-producing plastic products. To help improve and facilitate the molding of plastic parts, advanced computer simulation tools have been developed. While modeling is complicated by itself, the difficulty of optimizing the injection molding process is that the performance measures involving the injection molding process usually show conflicting behaviors. Therefore, the best solution for one performance measure is usually not the best in some other performance measures. This paper introduces a simulation optimization method which considers multiple performance measures and is able to find a set of efficient solutions without having to evaluate a large number of simulations. The main components of the method are metamodeling, design of experiments, and data envelopment analysis. The method is illustrated and detailed here using a simple test example, and it is applied to a real injection molding case. The performance of the method using a different design of experiments is also discussed.
{"title":"A multicriteria simulation optimization method for injection molding","authors":"María Guadalupe Villarreal Marroquín, J. Castro, M. Cabrera-Ríos","doi":"10.1515/polyeng.2011.087","DOIUrl":"https://doi.org/10.1515/polyeng.2011.087","url":null,"abstract":"Abstract Injection molding is the most important process for mass-producing plastic products. To help improve and facilitate the molding of plastic parts, advanced computer simulation tools have been developed. While modeling is complicated by itself, the difficulty of optimizing the injection molding process is that the performance measures involving the injection molding process usually show conflicting behaviors. Therefore, the best solution for one performance measure is usually not the best in some other performance measures. This paper introduces a simulation optimization method which considers multiple performance measures and is able to find a set of efficient solutions without having to evaluate a large number of simulations. The main components of the method are metamodeling, design of experiments, and data envelopment analysis. The method is illustrated and detailed here using a simple test example, and it is applied to a real injection molding case. The performance of the method using a different design of experiments is also discussed.","PeriodicalId":287132,"journal":{"name":"Online World Conference on Soft Computing in Industrial Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121448687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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