A survey of customization support in agent-based business process simulation tools

Robinson, William; Ding, Yi

doi:10.1145/1842713.1842717

Cited by 9 publications

(3 citation statements)

References 83 publications

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“…Several software solutions support the development of ABS (Heath et al , 2009; Robinson and Ding, 2010). We decided to use the software tool AnyLogic, as it is appropriate to simulate persons (active objects) (Borshchev and Filippov, 2004) and offers a high level of flexibility due to a set of predefined libraries that can be customized with additional classes and functions based on Java code (Borshchev and Filippov, 2004; Macal and North, 2010).…”

Section: Simulation Studymentioning

confidence: 99%

An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses

Franzke

Grosse

Glock

et al. 2017

IJLM

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Purpose Order picking is one of the most costly logistics processes in warehouses. As a result, the optimization of order picking processes has received an increased attention in recent years. One potential source for improving order picking is the reduction of picker blocking. The purpose of this paper is to investigate picker blocking under different storage assignment and order picker-route combinations and evaluate its effects on the performance of manual order picking processes. Design/methodology/approach This study develops an agent-based simulation model (ABS) for order picking in a rectangular warehouse. By employing an ABS, we are able to study the behaviour of individual order pickers and their interactions with the environment. Findings The simulation model determines shortest mean throughput times when the same routing policy is assigned to all order pickers. In addition, it evaluates the efficiency of alternative routing policies–storage assignment combinations. Research limitations/implications The paper implies that ABS is well-suited for further investigations in the field of picker blocking, for example, with respect to the individual behaviour of agents. Practical implications Based on the results of this paper, warehouse managers can choose an appropriate routing policy that best matches their storage assignment policy and the number of order pickers employed. Originality/value This paper is the first to comprehensively study the effects of different combinations of order picker routing and storage assignment policies on the occurrence of picker blocking.

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Section: Simulation Studymentioning

confidence: 99%

An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses

Franzke

Grosse

Glock

et al. 2017

IJLM

View full text Add to dashboard Cite

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“…There are several simulation frameworks for ABM; however, the analysis is dependent on the underlying frameworks. For software engineering purposes, a large number of tools are using component based software engineering techniques [91]. Agent based modeling may be used to analyze complex scenarios like world politics by organizing actors as agents and meta-agents [84].…”

Section: Overview Of Conceptual Modeling Approaches a Agent-basementioning

confidence: 99%

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

2019

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Popularity of the Internet of things (IoT) is currently on the rise. Academia as well as industry is equally fascinated by this disruptive technology. The IoT research and implementation have succeeded securing their place in numerous domains including, but not limited to, business, transportation and logistics, health care, smart cities, and agriculture. Conceptual modeling is pivotal to the design and implementation of a system. Various modeling approaches have been used for a variety of the IoT applications and case studies. In this paper, we examine various innovative applications of the existing conceptual modeling approaches for the IoT. We analyze the use of these approaches against different concerns in isolation as well as in mutual combination for the IoT. We also define a set of terminologies that we frequently encounter in this manuscript and those likely to be used while adopting proposed modeling approaches for the IoT scenarios. This study also attempts to reconcile different modeling approaches toward a unified modeling system. For this purpose, we map various conceptual modeling approaches against different layers of functional model of the IoT reference architecture. There is also a scenario in the end of the paper which elaborates the use of different modeling approaches in hierarchy for a complex IoT system. INDEX TERMS Agent-based modeling, ambient-oriented modeling, aspect-oriented modeling, conceptual modeling approaches, contract-based modeling, fuzzy-logic modeling, the Internet of Things, network-based modeling, object-based modeling, ontology, service-oriented modeling.

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“…A product line, also known as a product family [86] or a portfolio product [58], is a set of similar products, which were built using common and different components [34,127,159,90]. Being the components also known as assets.…”

Section: Product Linesmentioning

confidence: 99%

A self-adaptive deployment solution for Android platforms

Casquina¹

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Primeiramente, agradeço a Deus por tudo o que ele faz por mim, por a minha família e por todas as pessoas do mundo. Agradeço à minha família: meus pais, meus irmãos, meus avós e meus tios porque eles sempre estiveram comigo quando tudo ia mal. Agradeço à minha orientadora, Cecília Mary Fischer Rubira, pelo apoio e pela paciência que teve comigo. Agradeço a todos meus amigos do laboratório e do mestrado. Aprendi muito com eles. Agradeço também a todos os professores do mestrado que eu pude conhecer. Eles foram uma boa fonte de experiências e conhecimentos. ResumoOs dispositivos móveis, hoje em dia, fornecem recursos semelhantes aos de um computador pessoal de uma década atrás, permitindo o desenvolvimento de aplicações complexas. Consequentemente, essas aplicações móveis podem exigir tolerar falhas em tempo de execução. No entanto, a maioria das aplicações móveis de hoje são implantados usando configurações estáticas, tornando difícil tolerar falhas durante a sua execução. Nós propomos uma infraestrutura de implantação auto-adaptativa para lidar com este problema. A nossa solução oferece um circuito autônomo que administra o modelo de configuração atual da aplicação usando um modelo de características dinâmico associado com o modelo arquitetônico da mesma. Em tempo de execução, de acordo com a seleção dinâmica de características, o modelo arquitetônico implantado na plataforma se re-configura para fornecer uma nova solução. Uma aplicação Android foi implementada utilizando a solução proposta, e durante sua execução, a disponibilidade de serviços foi alterada, de tal forma que sua configuração corrente foi dinamicamente alterada para tolerar a indisponibilidade dos serviços.

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A survey of customization support in agent-based business process simulation tools

Cited by 9 publications

References 83 publications

An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses

An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

A self-adaptive deployment solution for Android platforms

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