Agent-based modeling and simulation of an autonomic manufacturing execution system

Rolón, Milagros; Martínez, Ernesto

doi:10.1016/j.compind.2011.10.005

Cited by 78 publications

(47 citation statements)

References 33 publications

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“…The work of Renna (2011) proved that, in a dynamic context, an ABS performs better that traditional methods regarding throughput time, throughput, work in process, machines average utilization and tardiness. Rolón and Martínez (2012) incorporate dynamicity from the perspective of production automatization. Their work determined that agents' ability to learn provided significant advantages in the new era of automatization of manufacturing systems.…”

Section: Logistics and Operationsmentioning

confidence: 99%

Agent-based simulation in management and organizational studies: a survey

Cruz

Saa

Hurtado

2017

EJMBE

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Purpose -The purpose of this paper is to provide a comprehensive survey of the literature about the use of agent-based simulation (ABS) in the study of organizational behavior, decision making, and problem-solving. It aims at contributing to the consolidation of ABS as a field of applied research in management and organizational studies. Design/methodology/approach -The authors carried out a non-systematic search in literature published between 2000 and 2016, by using the keyword "agent-based" to search through Scopus' business, management and accounting database. Additional search criteria were devised using the papers' keywords and the categories defined by the divisions and interest groups of the Academy of Management. The authors found 181 articles for this survey.Findings -The survey shows that ABS provides a robust and rigorous framework to elaborate descriptions, explanations, predictions and theories about organizations and their processes as well as develop tools that support strategic and operational decision making and problem-solving. The authors show that the areas that report the highest number of applications are operations and logistics (37 percent), marketing (17 percent) and organizational behavior (14 percent). Originality/value -The paper illustrates the increasingly prominent role of ABS in fields such as organizational behavior, strategy, human resources, marketing and logistics. To-date, this is the most complete survey about ABS in all management areas.

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Section: Logistics and Operationsmentioning

confidence: 99%

Agent-based simulation in management and organizational studies: a survey

Cruz

Saa

Hurtado

2017

EJMBE

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“…There is therefore a rising trend of distributed MESs for real time production control [12]. Multi-agent scheduling systems are widely used to model the fully heterarchical systems [4].…”

Section: Production Control Structuresmentioning

confidence: 99%

Handling Unexpected Events in Production Activity Control Systems

Arica¹,

Strandhagen²,

Hvolby³

2013

IFIP Advances in Information and Communication Technology

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Abstract. This paper highlights the important factors that influence the effectiveness of the event handling process in production control activity (PAC). Five key factors have been identified by the literature study. Production schedule generation and execution strategy under uncertainty, information and communication technology usage, coordination and feedback, human factor and interaction, and the performance measurement approach are the identified factors to be taken into account. Industrial interviews with three case companies, that are participating to the research program called The Norwegian Manufacturing Future (SFI NORMAN), have been carried out in order to gain practical insights as well as support and revise the findings by relevant empirical data.

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“…The AC initiative's influence has been present in many computing domains, e.g., grid computing [6,7], artificial intelligence [8], robotics [9], control systems [10], serviceoriented architecture (SOA) [11,12], cloud computing [13] and complex adaptive systems [14]. In recent years, several methods and techniques have been proposed to exploit the benefits of the AC initiative in service-oriented ecosystems, for example, SAPERE [15][16][17][18][19][20], CASCADAS [21][22][23] and BIONETS [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

A survey of autonomic computing methods in digital service ecosystems

Abeywickrama

Ovaska

2016

SOCA

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Service engineering of digital service ecosystems can be associated with several challenges, such as change and evolution of requirements; gathering of quality requirements and assessment; and uncertainty caused by dynamic nature and unknown deployment environment, composition and users. Therefore, the complexity and dynamics in which these digital services are deployed call for solutions to make them autonomic. Until now there has been no upto-date review of the scientific literature on the application of the autonomic computing initiative in the digital service ecosystems domain. This article presents a review and comparison of autonomic computing methods in digital service ecosystems from the perspective of service engineering, i.e., requirements engineering and architecting of services. The review is based on systematic queries in four leading scientific databases and Google Scholar, and it is organized in four thematic research areas. A comparison framework has been defined which can be used as a guide for comparing the different methods selected. The goal is to discover which methods are suitable for the service engineering of digital service ecosystems with autonomic computing capabilities, highlight what the shortcomings of the methods are, and identify which research activities need to be conducted in order to overcome these shortcomings. The comparison reveals that none of the existing methods entirely fulfills the requirements that are defined in the comparison framework.B Dhaminda B. Abeywickrama

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Agent-based modeling and simulation of an autonomic manufacturing execution system

Cited by 78 publications

References 33 publications

Agent-based simulation in management and organizational studies: a survey

Agent-based simulation in management and organizational studies: a survey

Handling Unexpected Events in Production Activity Control Systems

A survey of autonomic computing methods in digital service ecosystems

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