Compilation of Abstracts, June 2016

NPS Class of June 2016This quarter’s Compilation of Abstracts summarizes cutting-edge, security-related research conducted by NPS students and presented as theses, dissertations, and capstone reports. Each expands knowledge in its field.http://archive.org/details/compilationofabs109454990

Research in Supply Chain Management: Issue and Area Development

Today the study of supply chain management (SCM) is growing rapidly and provides a great opportunity to do research both empirical and theoretical development. Research opportunities in SCM has been reviewed by many researchers and grouped into many categories. This paper contains a review of research SCM and classify into 7 categories, namely (1) SCM Operational Management & Strategy, (2) knowledge management, (3) Relationship Management, (4) Information Technology in SCM, (5) Supply Chain Design, Logistics & Infrastructure, (6) Global Issues, (7) Environment, Legal & Regulations. The issue in each category and research opportunities will be discussed in this paper. Keywords: Supply Chain Management, Research Opportunities in SCM, Issue in SC

Design and Management of Manufacturing Systems

Although the design and management of manufacturing systems have been explored in the literature for many years now, they still remain topical problems in the current scientific research. The changing market trends, globalization, the constant pressure to reduce production costs, and technical and technological progress make it necessary to search for new manufacturing methods and ways of organizing them, and to modify manufacturing system design paradigms. This book presents current research in different areas connected with the design and management of manufacturing systems and covers such subject areas as: methods supporting the design of manufacturing systems, methods of improving maintenance processes in companies, the design and improvement of manufacturing processes, the control of production processes in modern manufacturing systems production methods and techniques used in modern manufacturing systems and environmental aspects of production and their impact on the design and management of manufacturing systems. The wide range of research findings reported in this book confirms that the design of manufacturing systems is a complex problem and that the achievement of goals set for modern manufacturing systems requires interdisciplinary knowledge and the simultaneous design of the product, process and system, as well as the knowledge of modern manufacturing and organizational methods and techniques

Projeto de parâmetros robustos para modelagem e otimização de sistemas kanban: uma abordagem baseada em experimentos simulados

Inventory control impacts the flow of the production process, customer service and cost. To improve this management, many companies use the concept of kanban, which has the purpose of programming and controlling production visually. However, few studies in the literature make use of a systematic method for its optimization, and it is also possible to observe in industrial environments, the use of Toyota's traditional formula, considering the demand levelly. Therefore, this work was developed with the objective of proposing an approach to optimize kanban systems using the Robust Parameters Design, through simulated experiments. This strategy is based on the calculation of the safety stock to determine the experimental planning, seeking to achieve the desired service level. Then, the simulation is executed with the experimental planning data in the simulated model, considering the daily random variation of demand over 30 days, with the quantity of kanban not delivered and the number of kanban in stock recorded at the end. From these data mathematical models that take into account the mean and variance are constructed, so that the robust optimization for the dimensioning of the supermarket can be obtained through the Mean Square Error (MSE). To prove the applicability of the proposed method, the procedure was tested in two different cases in the literature, Tubino (2007) and Hurrion (1997). For the modeling of the optimization functions, the Response Surface Methodology (RSM) was used, being mathematically programmed using the MSE. The weighted approach (MSEP) was also applied as an additional technique to achieve better results in relation to robust optimization. Therefore, the proposed approach was developed and applied satisfactorily in both cases in the literature, leading to optimal results in relation to the objectives of robust optimization. It was also possible to make a comparison between the proposed approach and the results achieved with the optimizer of the Arena® simulation software, OptQuest®, thus demonstrating that the method proposed in this work obtained better results with regard to robustness.Agência 1O controle de estoque impacta no fluxo do processo produtivo, no atendimento ao cliente e no custo. Para melhorar esta gestão, muitas empresas utilizam o conceito do kanban, que tem a finalidade de programar e controlar a produção visualmente. Todavia, poucos estudos da literatura fazem uso de um método sistemático para sua otimização, sendo também possível observar em ambientes industriais, o uso da fórmula tradicional da Toyota, considerando a demanda de forma nivelada. Logo, este trabalho foi desenvolvido com o objetivo de propor uma abordagem para otimização de sistemas kanban com o uso do Projeto de Parâmetros Robustos, por meio de experimentos simulados. Tal estratégia tem como princípio o cálculo do estoque de segurança para determinar o planejamento experimental, buscando atingir o nível de serviço desejado. Em seguida, ocorre a execução da simulação com os dados do planejamento experimental no modelo simulado, considerando a variação aleatória diária de demanda ao longo de 30 dias, sendo registrado ao final a quantidade de kanban não entregue e o número de kanban em estoque. A partir desses dados, modelos matemáticos que levam em consideração a média e a variância são construídos, de maneira que a otimização robusta para o dimensionamento do supermercado possa ser obtida por meio do Erro Quadrático Médio (EQM). Para comprovar a aplicabilidade do método proposto, o procedimento foi testado em dois diferentes casos da literatura. Para a modelagem das funções de otimização utilizou-se a Metodologia de Superfície de Resposta, sendo estas matematicamente programadas empregando o EQM. A abordagem ponderada (EQMP) também foi aplicada como uma técnica adicional para se atingir melhores resultados em relação à otimização robusta. Assim sendo, a abordagem proposta foi desenvolvida e aplicada satisfatoriamente nos dois casos da literatura, levando a resultados ótimos em relação aos objetivos da otimização robusta. Também foi possível fazer uma comparação entre a abordagem proposta e os resultados atingidos com o otimizador do software de simulação Arena®, o OptQuest®, demonstrando assim que o método proposto neste trabalho obteve melhores resultados no que diz respeito à robustez

Applications of Contemporary Management Approaches in Supply Chains

In today's rapidly changing business environment, strong influence of globalization and information technologies drives practitioners and researchers of modern supply chain management, who are interested in applying different contemporary management paradigms and approaches, to supply chain process. This book intends to provide a guide to researchers, graduate students and practitioners by incorporating every aspect of management paradigms into overall supply chain functions such as procurement, warehousing, manufacturing, transportation and disposal. More specifically, this book aims to present recent approaches and ideas including experiences and applications in the field of supply chains, which may give a reference point and useful information for new research and to those allied, affiliated with and peripheral to the field of supply chains and its management

Blockchain Technology for Enhancing Supply Chain Performance and Reducing the Threats Arising from the COVID-19 Pandemic

A rigorous examination of the most recent advancements in blockchain technology (BCT) and artificial intelligence (AI)-enabled supply chain networks is provided in this book. The edited book brings together the perspectives of a number of authors who have presented their most recent views on blockchain technology and its applications in a variety of disciplines. The submitted papers contribute to a better understanding of how blockchain technology can improve the efficacy of human activities during a pandemic, improve traceability and visibility in the automotive supply chain, support food safety and reliability through digitalisation of the food supply chain, and increase the performance of next-generation digital supply chains, among other things. The book attempts to address and prepare a way to address the complicated issues that supply chains are encountering as a result of the global pandemic