Simulation model for closed loop repairable parts inventory system with service level performance measures
08 Dec 2015-International Journal of Services and Operations Management (Inderscience Publishers (IEL))-Vol. 23, Iss: 1, pp 18-42
TL;DR: The difficulties and nuisances to achieve a well-designed verification and validation method in the contexts which are driven by discrete-event simulations of closed-loop repairable parts inventory system of three echelons are explored.
Abstract: In this paper, an attempt is made to understand verification and validation methodology in the contexts which are driven by discrete-event simulations. Specifically, a problem context of closed-loop repairable parts inventory system of three echelons is considered. Proposed model is based on real-life situation faced by a large public sector transportation company dealing with repairable parts like tyres. In the simulation related literature, a general mechanism is given to perform verification and validation. However, there is a visible lack of specific context-based verification and validation guidelines in a complex simulation scenario. This paper explores the difficulties and nuisances to achieve a well-designed verification and validation method. The paper focuses on the specific industry and through illustrative example shows how verification and validation is achieved in a real-life problem context.
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16 Jul 2020
TL;DR: The purpose of this paper is to present a review of the literature related to inventory management in the two-echelon supply chain and develop an inventory framework in the pharmaceutical supply chain industry.
Abstract: In the pharmaceutical sector, there are many challenges; However, the one that has the most significant impact is the low service level due to non-compliance with delivery times Several factors allude to this fact, such as the case of suppliers, customers, the time of imports in some situations, the risks of the supply chain, and others A problem that also stands out is the inadequate strategy in inventory management since the quantity and the delivery time is impacted by the chain variability, which causes an economic impact The purpose of this paper is to present a review of the literature related to inventory management in the two-echelon supply chain and develop an inventory framework in the pharmaceutical supply chain industry
3 citations
Journal Article•
TL;DR: In this paper, an optimal supply policy for the pharmaceutical sector considering two echelons (distributor and retailer), with the aim of increasing the service level and, therefore, the performance of the supply chain is proposed.
Abstract: Low service level is a serious problem for distribution companies in the pharmaceutical sector of Peru, mainly due to the uncertainties in the supply chain, coming from suppliers and customers. An important contributing factor is the inadequate management of inventories, since they do not know in advance the amount and right moment to place the order, thus generating a negative economic impact. Faced with this scenario, the proposal of this study is based on the development of an optimal supply policy for the sector considering two echelons (distributor and retailer), with the aim of increasing the service level and, therefore, the performance of the supply chain. The proposed method was solved analytically, and the solution has been illustrated with data obtained from an enterprise in the pharmaceutical sector using a sensitivity analysis; in turn, it was observed that as the service level increases, a greater total profit of the chain is obtained
2 citations
Cites background or methods from "Simulation model for closed loop re..."
...In the investigation there were models where the delivery time [2] is used and the quantity of the orders as decision variables and the objective is to discover an optimal inventory strategy that minimizes the expected total cost [40,][27], also stochastic simulations where the input variables can be defined by random variations, thus causing random outputs [57] and an EOQ model in order to determine the requirements to replenish the stock [16]....
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...Based on this increase, the profit that corresponds to the distributor and retailer can be found, and a sensitivity analysis [57],[24] will calculate how much the profit increases for the two-echelon supply chain, his because [50] indicate that significant cost savings are obtained within the provider network, which is applicable for other scenarios if they adopt such practices....
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11 Dec 2022
TL;DR: In this paper , the authors use GANs to generate synthetic data from real data and use the discriminator to discriminate real from simulated outputs, which can help validate computer model validation.
Abstract: Computer model validation is an essential step in simulation projects. The literature suggests using statistical techniques for comparing the outputs from the simulated model and the real system; however, statistical assumptions may be violated. Thus, Generative Adversarial Networks (GANs) are an alternative since they adapt to any data. The work aims to use GANs to generate synthetic data from the real data and use the Discriminator to discriminate real from simulated outputs. Five statistical distributions were trained, and distributions with the same characteristics were submitted to verify the Power of the Test. The curves of each distribution were generated. In addition, a real case of a Discrete Event Simulation in a large emergency department was applied to the new validation technique. The results showed that GANs effectively discriminate data and can help validate computer models.
11 Dec 2022
TL;DR: In this paper , the authors use GANs to generate synthetic data from real data and use the discriminator to discriminate real from simulated outputs, which can help validate computer model validation.
Abstract: Computer model validation is an essential step in simulation projects. The literature suggests using statistical techniques for comparing the outputs from the simulated model and the real system; however, statistical assumptions may be violated. Thus, Generative Adversarial Networks (GANs) are an alternative since they adapt to any data. The work aims to use GANs to generate synthetic data from the real data and use the Discriminator to discriminate real from simulated outputs. Five statistical distributions were trained, and distributions with the same characteristics were submitted to verify the Power of the Test. The curves of each distribution were generated. In addition, a real case of a Discrete Event Simulation in a large emergency department was applied to the new validation technique. The results showed that GANs effectively discriminate data and can help validate computer models.
References
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Book•
01 Jan 1982
TL;DR: The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.
Abstract: From the Publisher:
This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.
9,905 citations
Book•
21 Sep 1995
TL;DR: Beleska o autorima: str. XV-XVI. as mentioned in this paper - Bibliografija uz svako poglavlje. - Registar.
Abstract: Beleska o autorima: str. XV-XVI. - Bibliografija uz svako poglavlje. - Registar. - Summaries.
3,866 citations
TL;DR: Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
Abstract: Verification and validation of simulation models are discussed in this paper. Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the...
1,425 citations
TL;DR: The problem of validating computer simulation models of industrial systems has received only limited attention in the management science literature, so the writings of economists who have been concerned with testing the validity of economic models are considered.
Abstract: The problem of validating computer simulation models of industrial systems has received only limited attention in the management science literature. The purpose of this paper is to consider the problem of validating computer models in the light of contemporary thought in the fields of philosophy of science, economic theory, and statistics. In order to achieve this goal we have attempted to gather together and present some of the ideas of scientific philosophers, economists, statisticians, and practitioners in the field of simulation which are relevant to the problem of verifying simulation models. We have paid particular attention to the writings of economists who have been concerned with testing the validity of economic models. Among the questions which we shall consider are included: What does it mean to verify a computer model of an industrial system? Are there any differences between the verification of computer models and the verification of other types of models? If so, what are some of these differ...
433 citations