Service Flow Simulation Using Scene Transition Nets (STN) Including Satisfaction-Attribute Value Functions

2010 ◽  
Author(s):  
Takeshi Tateyama ◽  
Satoshi Mikoshiba ◽  
Yoshiki Shimomura ◽  
Seiichi Kawata
Keyword(s):  
Customer Satisfaction ◽  
Hybrid Systems ◽  
Manufacturing Systems ◽  
Flow Simulation ◽  
Simulation Method ◽  
Service Industries ◽  
Service Flow ◽  
Service Engineering ◽  
Multi Agent ◽  
Attribute Value

A new academic field, “service engineering” has emerged; it involves active investigation for increasing the productivities of service industries. However, there are only a few effective tools for the simulation and evaluation of complex services that have been designed using concepts from the field of service engineering. To overcome this shortcoming, the authors propose a multi-agent service flow simulation method using scene transition nets (STNs) that is a very useful graphical modeling and simulation method for application to discrete-continuous hybrid systems. This method treats services as complicated multi-agent and hybrid systems similar to manufacturing systems. To obtain realistic values of customer satisfaction, the authors input satisfaction-attribute value (S-AV) functions, which are often used in service engineering in service flow models using STN. This method visualizes discrete flows of services and temporal changes in the values of customer satisfaction and various other variables of service models. The authors present the results of the simulation of an online DVD rental service involving multiple agents to show the effectiveness of the proposed method that uses an STN GUI simulator developed by them.

A Multi-Aspect Modeling Method for Service Flow Simulation Using Scene Transition Nets (STNs)

2012 ◽  
Author(s):  
Takeshi Tateyama ◽  
Satoshi Mikoshiba ◽  
Koji Kimita ◽  
Kentaro Watanabe ◽  
Ryosuke Chiba ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Flow Simulation ◽  
Simulation Method ◽  
Modeling Method ◽  
Nursing Service ◽  
Service Flow ◽  
Academic Field ◽  
Service Engineering ◽  
Field Service ◽  
Graphic Modeling

Recently, a new academic field, “service engineering” has been very actively investigated. However, there are few effective methods and tools to simulate and evaluate services designed based on the concept of service engineering. In the past, the authors proposed a service flow simulation method using scene transition nets (STN) which is a graphic modeling and simulation method for discrete-continuous hybrid systems. However, this method does not consider how to model and simulate complex service flows including multiple layered, parallel, and interrupted structures and it is difficult to construct STN models of such complex systems using the existing STN concepts. In this paper, the authors propose a new STN modeling method using “multi-aspect STN modeling “ concepts in order to provide easy methods for modeling of such complex services. The experimental results for the modeling and simulation of a nursing service demonstrate the effectiveness of the proposed method.

1404 Multi-agent service flow simulation using Scene Transition Nets(STN)

2009 ◽  
Vol 2009.19 (0) ◽  
pp. 192-197
Author(s):  
Takeshi Tateyama ◽  
Seiichi Kawata ◽  
Yoshiki Shimomura ◽  
Tamio Arai ◽  
Yasuo Umeda ◽  
...  
Keyword(s):  
Flow Simulation ◽  
Service Flow ◽  
Multi Agent

A Service Flow Simulation Method Using Multi-aspect Scene Transition Nets (STNs) Modeling

2013 ◽  
pp. 297-302 ◽  
Author(s):  
Takeshi Tateyama ◽  
Koji Kimita ◽  
Kentaro Watanabe ◽  
Ryosuke Chiba ◽  
Yoshiki Shimomura
Keyword(s):  
Flow Simulation ◽  
Simulation Method ◽  
Service Flow

Stochastic simulation for determining the design flood of cascade reservoir systems

2012 ◽  
Vol 43 (1-2) ◽  
pp. 54-63 ◽  
Author(s):  
Baohong Lu ◽  
Huanghe Gu ◽  
Ziyin Xie ◽  
Jiufu Liu ◽  
Lejun Ma ◽  
...  
Keyword(s):  
Simulation Model ◽  
Stochastic Simulation ◽  
Southern China ◽  
Flow Simulation ◽  
Simulation Method ◽  
Simulation Approach ◽  
Design Flood ◽  
Design Values ◽  
Stochastic Simulation Model ◽  
The Impact

Stochastic simulation is widely applied for estimating the design flood of various hydrosystems. The design flood at a reservoir site should consider the impact of upstream reservoirs, along with any development of hydropower. This paper investigates and applies a stochastic simulation approach for determining the design flood of a complex cascade of reservoirs in the Longtan watershed, southern China. The magnitude of the design flood when the impact of the upstream reservoirs is considered is less than that without considering them. In particular, the stochastic simulation model takes into account both systematic and historical flood records. As the reliability of the frequency analysis increases with more representative samples, it is desirable to incorporate historical flood records, if available, into the stochastic simulation model. This study shows that the design values from the stochastic simulation method with historical flood records are higher than those without historical flood records. The paper demonstrates the advantages of adopting a stochastic flow simulation approach to address design-flood-related issues for a complex cascade reservoir system.

scholarly journals Ant Colony Intelligence in Flexible Manufacturing Scheduling Using Contract-Net Model

2011 ◽  
Vol 2-3 ◽  
pp. 608-613
Author(s):  
Ying Zi Wei ◽  
Yi Jun Feng ◽  
Kan Feng Gu
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Ant Colony ◽  
Contract Net Protocol ◽  
Agent Based ◽  
Contract Net ◽  
Multi Agent ◽  
Bidding Mechanism ◽  
Alternative Processes ◽  
Alternative Machines

This paper builds an efficient agent-based flexible scheduling for real-world manufacturing systems. Considering the alternative processes and alternative machines, the allocation of manufacturing resources is achieved through negotiation among the job and machine agents in a multi-agent system (MAS). Ant Colony Intelligence (ACI) is proposed to be combined with Contract Net Protocol (CNP) so as to make agents adaptive to changing circumstances. ACI is integrated into both machine agents and job agents to solve the task allocation and sequencing problem. CNP is introduced to allow the agents to cooperate and coordinate their local schedules in order to find globally near-optimal robust schedules. The negotiation protocol is an interactive bidding mechanism based on the hybrid contract net protocol. The implementation of the issues using CNP model is discussed. Experimental results verify the effectiveness and efficiency of the proposed algorithm integrated with ant-inspired coordination.

Simulationsgestützte Produktionsplanung flexibler Fertigungssysteme*/Simulation-based production planning of flexible manufacturing systems

2019 ◽  
Vol 109 (04) ◽  
pp. 242-249
Author(s):  
A. Selmaier ◽  
T. Donhauser ◽  
T. Lechler ◽  
J. Zeitler ◽  
J. Franke
Keyword(s):  
Production Planning ◽  
Flexible Manufacturing ◽  
Material Flow ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Flow Simulation ◽  
Limited Extent ◽  
Time Data ◽  
High Data ◽  
Simulation Based

Während sich das Verhalten starr verketteter Systeme relativ einfach mittels Materialflusssimulationen modellieren lässt, sind herkömmliche Simulationsansätze für flexible Fertigungssysteme aufgrund des hohen Datenerhebungs- sowie Parametrisieraufwands nur bedingt geeignet. Jedoch kann durch das automatische Übertragen von Echtzeitdaten in das Simulationsmodell der aktuelle Zustand solcher Systeme deutlich verbessert abgebildet werden. Der Beitrag stellt ein Konzept für die simulationsgestützte Produktionsplanung schnellveränderlicher Systeme vor.   While the behaviour of rigidly linked systems is relatively easy to model by means of material flow simulation, traditional simulation approaches are only suitable to a limited extent for flexible manufacturing systems due to the high data collection and parameterization effort. However, the use of real-time data can significantly improve the simulation of such systems. This paper presents an approach for simulation-based production planning of rapidly changing systems.

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