Supply chain hybrid simulation: From Big Data to distributions and approaches comparison

The uncertainty and variability of Supply Chains paves the way for simulation to be employed to mitigate such risks. Due to the amounts of data generated by the systems used to manage relevant Supply Chain processes, it is widely recognized that Big Data technologies may bring benefits to Supply Chain simulation models. Nevertheless, a simulation model should also consider statistical distributions, which allow it to be used for purposes such as testing risk scenarios or for prediction. However, when Supply Chains are complex and of huge-scale, performing distribution fitting may not be feasible, which often results in users focusing on subsets of problems or selecting samples of elements, such as suppliers or materials. This paper proposed a hybrid simulation model that runs using data stored in a Big Data Warehouse, statistical distributions or a combination of both approaches. The results show that the former approach brings benefits to the simulations and is essential when setting the model to run based on statistical distributions. Furthermore, this paper also compared these approaches, emphasizing the pros and cons of each, as well as their differences in computational requirements, hence establishing a milestone for future researches in this domain.This work has been supported by national funds through FCT -Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2019 and by the Doctoral scholarship PDE/BDE/114566/2016 funded by FCT, the Portuguese Ministry of Science, Technology and Higher Education, through national funds, and co-financed by the European Social Fund (ESF) through the Operational Programme for Human Capital (POCH)

Simulation Of Modeling Sortie Generation Process In TURAF

Simulation is a useful technique for engineers and operations researchers. One of the primary advantages of simulation models is that they are able to provide users with practical feedback when analyzing real-world systems. This thesis builds a discrete event simulation of the sortıe generatıon process, to help decision makers in performing analyses regarding quantity of manpower, bottlenecks in supply and maintenance activities; as well as utilization of maintenance manpower, cost and number of sorties produced in a specific time. We only model one aircraft system with four Line Replacement Units (LRU), but any system and its LRUs can be included in our simulation. Our analysis focuses on eight Measures of Effectiveness (MOE) from our simulation. The final simulation provides a reasonable representation of many, but not all, characteristics of the sortie generation process. It is a preliminary simulation tool for further research on the sortie generation process in the Turkish Air Force, and provides decision-makers with the ability to analyze the sortie generation process in support of future decisions

Simulation Modeling and Analysis of TNMCS for the B-1 Strategic Bomber

Simulation provides a method of modeling complex systems which would otherwise be impractical for quantitative experimentation. While other analytic techniques have been used to explore Total Non-Mission Capable [due to] Supply (TNMCS) rates, simulation offers a novel approach to discovering what aspects of the supply chain impact this metric. This research develops a discrete event simulation to investigate factors which affect TNMCS rates for the B-1B by modeling the core processes within the Air Force (AF) supply chain. A notional fleet of 16 aircraft at a single air base (Ellsworth AFB, SD) is modeled based on historical supply and maintenance data. To identify and quantify the effects of various factors, an experimental design is used for analyzing the output of our high-level discrete event simulation. Additionally, two different approaches to reporting and modeling Air Logistics Center (ALC) stockage effectiveness (SE) are compared to our baseline simulation. This exploration shows several factors which significantly impact TNMCS rates and have the potential to reduce them to their current targets

Abordagem analítica à segmentação da cadeia de abastecimento

Mestrado em Engenharia e Gestão IndustrialO tema da definição de estratégia da cadeia de abastecimento está a ganhar importância e não existe uma estratégia ideal. Consequentemente, de forma a ganhar vantagem competitiva sustentável as organizações devem escolher as estratégias de abastecimento mais adequadas tendo em conta as características quer da procura quer dos produtos alinhando a oferta com a procura. Para a definição do foco da tese, é feito um estudo bibliometrico da literatura. De seguida, definiu-se uma sequência de passos para a segmentação da cadeia de abastecimento e sua consequente aplicação num caso de estudo, uma empresa alimentar B2B. O estudo exploratório contribui com uma série de ideias originais: Uma nova variável de classificação é proposta, uma análise de produtos com base nos componentes comuns, e finalmente, uma nova abordagem às compras baseada nas características da procura. Tudo isto permite uma abordagem prática à segmentação ao longo de toda a cadeia de abastecimento.O tema da definição de estratégia da cadeia de abastecimento está a ganhar importância e não existe uma estratégia ideal. Consequentemente, de forma a ganhar vantagem competitiva sustentável as organizações devem escolher as estratégias de abastecimento mais adequadas tendo em conta as características quer da procura quer dos produtos alinhando a oferta com a procura. Para a definição do foco da tese, é feito um estudo bibliometrico da literatura. De seguida, definiu-se uma sequência de passos para a segmentação da cadeia de abastecimento e sua consequente aplicação num caso de estudo, uma empresa alimentar B2B. O estudo exploratório contribui com uma série de ideias originais: Uma nova variável de classificação é proposta, uma análise de produtos com base nos componentes comuns, e finalmente, uma nova abordagem às compras baseada nas características da procura. Tudo isto permite uma abordagem prática à segmentação ao longo de toda a cadeia de abastecimento

Discrete Event Simulations

Considered by many authors as a technique for modelling stochastic, dynamic and discretely evolving systems, this technique has gained widespread acceptance among the practitioners who want to represent and improve complex systems. Since DES is a technique applied in incredibly different areas, this book reflects many different points of view about DES, thus, all authors describe how it is understood and applied within their context of work, providing an extensive understanding of what DES is. It can be said that the name of the book itself reflects the plurality that these points of view represent. The book embraces a number of topics covering theory, methods and applications to a wide range of sectors and problem areas that have been categorised into five groups. As well as the previously explained variety of points of view concerning DES, there is one additional thing to remark about this book: its richness when talking about actual data or actual data based analysis. When most academic areas are lacking application cases, roughly the half part of the chapters included in this book deal with actual problems or at least are based on actual data. Thus, the editor firmly believes that this book will be interesting for both beginners and practitioners in the area of DES