An object-oriented framework for simulating supply systems

Rossetti, Manuel D.; Miman, Mehmet; Varghese, Vijith

doi:10.1057/jos.2008.2

Cited by 16 publications

(15 citation statements)

References 7 publications

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“…However, they lack the fundamental ability to visualise and demonstrate the operations of the whole supply chain effectively, starting from the source of raw material to the final delivery to the end consumer. As noted, the importance of collaboration and visibility along the supply chain is self-evident, and these simulations do not incorporate this factor, although some simulated supply chain models have been developed that do incorporate a broader scope, such as (Longo and Mirabelli, 2008) SCM decision support tool and (Rossetti et al, 2008) object-orientated framework for simulating supply systems. But it is important to note that these models were developed as analytical decision-making tools for supply chain managers, and do not have the interaction, animation or academic attributes required to stimulate the minds of TLE students.…”

Section: Teaching Supply Chain Management Using Simulation Technologymentioning

confidence: 99%

Interactive learning: developing an eSimulation portal framework

Tobail

Crowe

Arisha

2016

The Irish Journal of Management

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IntroductionThe ability to learn, which can be defined as the acquisition of knowledge through cognitive processes that translate into new understandings, behaviours and skills (Moore et al., 2009), has always been the foundation of any successful society. In today's knowledge-driven society, such valuable understandings, which can be gained through education, are very important resources (Schleicher, 2003). The advances made in computer technology, coupled with the education sector's drive to take advantage of such advances, have given rise to the emerging eLearning paradigm, which is becoming increasingly evident across many academic disciplines, providing further support for the notion that learning processes are no longer only supported by traditional teaching methods. It can be argued that today's third level education (TLE) students are part of a new virtual generation, where blackboards and refill pads have been replaced by interactive white boards and laptops, as more interactive, animated and virtually orientated teaching aids assist the transition from traditional learning to eLearning.The main contribution of this paper is to create a framework to enable the examination of different innovative teaching technologies such as simulation through a web-based portal accessible from anywhere. First, we give an overview of TLE and its challenges from an Irish perspective. Second, we discuss innovations in teaching/ learning processes, with particular emphasis on simulation-based applications, using the complex field of supply chain management as our study field of knowledge. The advantages of utilising web-based technologies are then reviewed before the methodology of our portal framework is introduced and discussed in detail. The paper concludes with a conceptual overview of the portal framework, and outlines its potential future development into to a serious working TLE game. Abstract:The emerging eLearning paradigm is becoming increasingly used in many academic disciplines. The concept acknowledges learning processes that no longer deploy only traditional teaching methods. It can be argued that today's third level education students are part of a new virtual era where the blackboard has been replaced by the interactive whiteboard, so more interactive and virtually orientated teaching aids are required to assist in the transition from traditional learning to eLearning. The key objective of this paper is to propose a simulation-based learning framework that integrates web-based simulation and a web content management hierarchy model. Using the highly complex subject of supply chain management as a field of study, the newly developed eSimulation tool allows users to examine various management strategies in real-life scenarios, encourages group work and offers remote access capabilities for distance learning. Interactive learning is facilitated using a web-based portal, enabling instructors to demonstrate the complexity of decisions in multiple criteria environments and also demonstrate the impact of various ...

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Section: Teaching Supply Chain Management Using Simulation Technologymentioning

confidence: 99%

Interactive learning: developing an eSimulation portal framework

Tobail

Crowe

Arisha

2016

The Irish Journal of Management

View full text Add to dashboard Cite

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“…The reader who is interested in this framework can refer to Rossetti and Chan (2003), Rossetti et al (2006), Rossetti and Nangia (2007) and Rossetti, Miman and Varghese (2008). This framework contains the classes that can be used to represent manufacturer, warehouse, retailer and end-customer.…”

Section: Introductionmentioning

confidence: 99%

“…The structure and functionality of the inventory layer and transportation layer are discussed in Rossetti et al (2006) and Rossetti and Nangia (2007) respectively. Rossetti, Miman and Varghese (2008) present an expansion of the work in Rossetti et al (2006) and introduce the supply chain modeling with two examples. The SCNS is built on top of the Java Simulation Library (JSL), the capabilities of which are described in Rossetti (2008).…”

Section: Introductionmentioning

confidence: 99%

A cloud computing architecture for supply chain network simulation

Rossetti

Chen

2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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This paper presents a Cloud Computing Architecture For Supply Chain Network Simulation (CCAFSCNS). The structure and elements of the CCAFSCNS as well as the relations among elements are introduced. The purpose of the architecture is to facilitate the distributed simulation of large-scale multi-echelon supply chains with an arborescent structure. The simulator in the CCAFSCNS permits the user to specify the network structure, the inventory stocking policies and demand characteristics so that supply chain performance can be estimated (e.g. average inventory on hand, average fill rates, average backorders, etc.) for each stock-keeping-unit. A prototype system that implements the CCAFSCNS is presented and illustrated with three example use cases. In addition, this paper discusses the time issues associated with the cloud computing solution and shows that the cloud computing solution can significantly shorten the simulation time. INTRODUCTIONThe performance of a supply chain impacts the competitive advantage of companies within the chain. How to coordinate the logistics activities in a supply chain, such as inventory control and transportation management, determines performance. Realistic multi-echelon supply chain networks make the analysis by mathematical models problematic for two main reasons: (1) the scale of the problem can be large, and (2) the complicated behaviors of different participants, such as manufacturers, retailers and customers. In addition, decision makers may need system performance during each planning stage to make step-by-step decisions. Therefore, simulation is an excellent tool to assist in supply chain analysis since it can (1) predict supply chain performance, (2) allow users to track the system performance at each time period, (3) perform what-if analysis for specific scenarios, and (4) compare alternative system configurations. One disadvantage of simulation methods is that it may be very time consuming to get statistically accurate results. When the multi-echelon supply chain network contains thousands of stock keep units (SKUs), it might take hours to run a single replication. In order to control the variance or half-width of the statistics generated by the simulation, many replications may be needed. Thus, if a single computer is used to simulate the multi-echelon supply chain network, it may take several hours or days to get the results. The purpose of this paper is to discuss the design of a cloud computing architecture that facilitates the execution of large-scale multi-echelon supply chain network simulations.In this paper, a background section introduces supply chain modeling and supply chain simulation tools. Then, section 3 illustrates the Cloud Computing Architecture For Supply Chain Network Simulation (CCAFSCNS). The structure and elements of CCAFSCNS as well as the relations among elements will be introduced in detail. A prototype system that implements the CCAFSCNS is then presented while 978-1-4673-4781-5/12/$31.00 ©2012 IEEE

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“…Subsequently, the operational performance measures can be estimated and compared across the different forecasting techniques. This paper builds on the work presented in Rossetti et al (2006) and Rossetti, Miman and Varghese (2008). The former illustrates the modeling of supply chain networks using an object oriented framework integrated with the Java Simulation Library (JSL).…”

Section: Introductionmentioning

confidence: 99%

“…The JSL is an open source simulation library based on Java. The interested reader may refer to Rossetti (2008) for further information on the design and use of the JSL. Rossetti, Miman and Varghese.…”

Section: Introductionmentioning

confidence: 99%

Simulating inventory systems with forecast based policy updating

Rossetti

Varghese

Miman

et al. 2008

2008 Winter Simulation Conference

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This paper presents an object oriented framework that facilitates modeling inventory systems whose policy updating is driven by forecast estimates. In an inventory system, the forecast estimates and the forecast error measures are used to set the inventory policy. A simulation approach can address questions regarding the choice of the forecasting technique and the frequency of updating the policy, especially in non-stationary demand scenarios. This paper discusses how the framework can be used to develop simulation models through which these questions can be addressed. In addition, two examples illustrate how to use the framework and how to analyze supply chains with forecast based policy updating.

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An object-oriented framework for simulating supply systems

Cited by 16 publications

References 7 publications

Interactive learning: developing an eSimulation portal framework

Interactive learning: developing an eSimulation portal framework

A cloud computing architecture for supply chain network simulation

Simulating inventory systems with forecast based policy updating

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