Validation, verification, and testing techniques throughout the life cycle of a simulation study

Balcı, Osman

doi:10.1109/wsc.1994.717129

Cited by 129 publications

(185 citation statements)

References 7 publications

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“…According to Shannon, 40% of the effort and time of a project should be devoted to problem definition, project planning, conceptual modelling and data collection, 20% to model coding and the remaining 40% to verification and validation, experimentation and reporting. Almost every author emphasises the iterative nature of the modelling process (Morris 1967;Balci 1994;Pidd 1999;Banks et al 2001;Robinson 2004). …”

Section: Existing Work On Model Development Methodologymentioning

confidence: 99%

Exploring the model development process in discrete-event simulation: insights from six expert modellers

Tako

2015

Journal of the Operational Research Society

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Section: Existing Work On Model Development Methodologymentioning

confidence: 99%

Exploring the model development process in discrete-event simulation: insights from six expert modellers

Tako

2015

Journal of the Operational Research Society

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“…The stages for verification and validation processes used in this study are based on the one proposed by Robinson [22]. As seen in Figure 4, the stages included in the process are: The model is considered "valid" when the assumptions underlying the conceptual model are correct, and when it has been determined that the model represents the real system [15,21,23].…”

Section: Verification and Validationmentioning

confidence: 99%

Alternative Process Flow for Underground Mining Operations: Analysis of Conceptual Transport Methods Using Discrete Event Simulation

et al. 2016

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Abstract:As the near surface deposits are being mined out, underground mines will increasingly operate at greater depths. This will increase the challenges related to transporting materials from deeper levels to the surface. For many years, the ore and waste transportation from most deep underground mines has depended on some or all of the following: truck haulage, conveyor belts, shafts, rails, and ore pass systems. In sub-level caving, and where ore passes are used, trains operating on the main lower level transport the ore from ore passes to a crusher, for subsequent hoisting to the surface through the shaft system. In many mines, the use of the ore pass system has led to several problems related to the ore pass availability, causing production disturbances and incurred cost and time for ore pass rehabilitation. These production disturbances have an impact on the mining activities since they increase the operational costs, and lower the mine throughput. A continued dependency on rock mass transportation using ore passes will generate high capital costs for various supporting structures such as rail tracks, shaft extensions, and crushers for every new main level. This study was conducted at an existing underground mine and analyzed the transport of ore from loading areas at the lower levels up to the existing shaft points using trucks without employing ore passes. The results show that, when the costs of extending ore passes to lower levels become too great or ore passes cannot be used for production, haul trucks can be a feasible alternative method for transport of ore and waste up the ramp to the existing crusher located at the previous main level. The use of trucks will avoid installing infrastructure at the next main level and extending the ore passes to lower levels, hence reducing costs.

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“…According to Balci (1994), in our modeling eort, we must show the relevance of the model for the study objective that it was developed for. Hence, the main concern would be to become sure that the model is applicable for its domain and can help better understanding of the problem under study.…”

Section: Detailed Designmentioning

confidence: 99%

An agent-based model to support negotiation-based order acceptance in a multi-plant enterprise

Mobini

Behdani

Lukszo

et al. 2011

2011 IEEE International Conference on Systems, Man, and Cybernetics

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SummaryOrder acceptance (OA) has a large inuence on the performance of an enterprise. On the one hand, always accepting an order when capacity is available may restrict the system to accept more protable orders in the future. On the other hand, rejecting too many orders leads to low capacity utilization and also has repercussions for future customer relations. In addition, accepting too many orders leads to an over-loaded production environment, where lead times increase and orders are delivered late. Most of these aspects of order acceptance decision-making can be handled by having proper negotiations with customers on order terms. However, this is a complex problem primarily because there are dierent actors who have various (conicting) interests, needs and objectives. Accordingly, to provide insight for the decision makers in the rms in order to develop proper strategies for order acceptance, developing appropriate models seems necessary.The objective in this research is to improve the order acceptance performance of a make-to-order multi-plant enterprise (MPE) by incorporating buyer-seller negotiations in its OA procedure with the main research question of How can the buyer-seller negotiation process contribute to the improvement of order acceptance performance in the multi-plant enterprise?For this purpose, we have developed an agent-based model to support order acceptance decisions in a multi-plant enterprise particularly using dierent negotiation settings.The research starts with literature review on order acceptance in general and negotiation in particular. A gap is identied in the OA literature: the major perspectives on the OA procedure rest on the underlying assumption that order terms are already determined which is not always tenable. In reality, order terms are usually specied by negotiation between the buyer and the seller and they are not predetermined. A negotiation-based order acceptance approach is consequently suggested in order to consider the whole activities in a negotiation process with three phases. The proposed process involves the initiation conditions for negotiation (pre-negotiation phase), the main interaction (negotiation phase) and the consequences of negotiation on the future decisions of the involved actors (post-negotiation phase). This negotiation process is a part of more general negotiation framework which is then extended into a negotiation ontology. The ontology introduces the main concepts and their relations in a negotiation problem. Next, the conceptualization of the order negotiation process in OA and the negotiation ontology are used in developing an agent-based model for buyer-seller negotiations in a case of multi-plant enterprise. The general assumptions and settings for model development are taken from a model have been presented by Behdani et al. (2010) for a lube oil multi-plant case study motivated by a real supply chain.In this research, the previous model is extended by incorporating negotiation between the ii enterprise and its customers on order terms. Final...

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Validation, verification, and testing techniques throughout the life cycle of a simulation study

Cited by 129 publications

References 7 publications

Exploring the model development process in discrete-event simulation: insights from six expert modellers

Exploring the model development process in discrete-event simulation: insights from six expert modellers

Alternative Process Flow for Underground Mining Operations: Analysis of Conceptual Transport Methods Using Discrete Event Simulation

An agent-based model to support negotiation-based order acceptance in a multi-plant enterprise

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