Thesis (Ph. D.)--University of Sydney, 2008. / Includes graphs and tables. Title from title screen (viewed December 17, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Chemical and Biomolecular Engineering, Faculty of Engineering and Information Technologies. Includes bibliographical references. Also available in print form.

VALE, Eleydiane Maria Gomes. Efeitos do comércio internacional sobre as remunerações dos fatores no Brasil: uma análise de cones de diversificação. 2010. 38f. : Dissertação (Mestrado) - Programa de Pós Graduação em Economia, CAEN, Universidade Federal do CearáFortaleza, CE, 2010. / Submitted by Mônica Correia Aquino (monicacorreiaaquino@gmail.com) on 2013-07-10T22:57:36Z No. of bitstreams: 1 2010_dissert_emgvale.pdf: 280588 bytes, checksum: 904e2aa35e1f1d671127de1b22975b37 (MD5) / Approved for entry into archive by Mônica Correia Aquino(monicacorreiaaquino@gmail.com) on 2013-07-10T22:57:47Z (GMT) No. of bitstreams: 1 2010_dissert_emgvale.pdf: 280588 bytes, checksum: 904e2aa35e1f1d671127de1b22975b37 (MD5) / Made available in DSpace on 2013-07-10T22:57:47Z (GMT). No. of bitstreams: 1 2010_dissert_emgvale.pdf: 280588 bytes, checksum: 904e2aa35e1f1d671127de1b22975b37 (MD5) Previous issue date: 2010 / This dissertation presents an empirical model based on the Heckscher-Olhin theory to test cones of diversification. We use data on capital and production of the United Nations Industrial Development Organization, labour data comes from the International Labour Organisation. The goal is to locate the position of Brazil in relation to other countries that have similar factor endowments. With an appropriate specifications, the effects of Stolper- Samuelson theorem on wages and interest rates are predicted. The results show that Brazil would not have wages or interest rates changed as a consequence of trade liberalization / Esta dissertação apresenta um modelo empírico de cones de diversificação. Utilizamos dados de capital e produção das Organizações das Nações Unidas para o Desenvolvimento Industrial e dados de trabalho da Organização Internacional do Trabalho. O objetivo é localizar a posição do Brasil em relação aos outros países que apresentem semelhanças nas dotações de fatores. Com especificações apropriadas, os efeitos do teorema de Stolper e Samuelson sobre os salários e taxa de juros, são previstos. Os resultados revelam que o Brasil, não teria os salários ou a taxa de juros modificados como conseqüência de uma abertura comercial.

Orientador : Fernando Antonio Campos Gomide / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica / Made available in DSpace on 2018-07-14T01:15:20Z (GMT). No. of bitstreams: 1 Figueiredo_MauricioFernandes_M.pdf: 3498226 bytes, checksum: db4e681e6df277da3e8e4e154bcb511b (MD5) Previous issue date: 1991 / Resumo: Nos modernos sistemas de manufatura, onde os produtos manufaturados são transportados automaticamente, é freqüente criar estoques intermediários entre as maquinas para equacionar objetivos conflitantes tais como maximizar a produção mantendo estoques e tempo de manufatura em níveis razoáveis. No entanto para oferecer estabilidade ao sistema alguma estratégia conveniente deve ser aplicada. Considere sistemas de manufatura (SH) dinâmicos e determinísticos, cuja fabricação de tipos de produtos distintos seja realizada por H máquinas a partir de operações simples, montagens ou desmontagens, podendo estar sujeitos a perturbações de duração limitada. Considere ainda que cada uma de suas máqulnas possua um mecanismo de entrada de peças, subdividido para cada tipo de peça. Suponha que as peças de diferentes tipos, necessárias à produção de cada produto final, cheguem ao sistema continuamente. Devido à característica dinâmica do SH considerado acima, a estratégia utilizada para a escolha do tipo de peça a ser processada e do momento de seu processamento influi em sua estabilidade. Ou seja, os níveis de estoques correspondentes a cada máquina podem permanecer abaixo de certos limites ou não. Para esta classe de sistemas, este trabalho propõe uma estratégia para programação da produção em tempo real que garante a sua estabilidade, mantendo os níveis de estoque abaixo de certos limites cujos valores podem ser calculados para cada tipo de peça. No caso de uma única máquina, os valores limites referem-se ao seu ponto de operação em regime, para onde convergirão os valores de PlCO dos estoques. Tais limites compõem uma solução eficiente para o problema de minimização dos valores máximos de nível de estoque. A avaliação de seu desempenho foi feita a partir de comparações com outras estratégias, tomando-se como parâmetro tanto o nível de pico nos estoques para cada tipo de peça quanto sua média. Os resultados computacionais apresentados confirmam o previsto pela teoria, incluindo sua utilidade e robustez / Abstract: Not informed. / Mestrado / Automação / Mestre em Engenharia Elétrica

Aplica los principios de Frederick para mejorar la gestión administrativa del área de pos venta. Para ello se planifica y visualiza el futuro y trazar el programa de acción, se organiza y construye la estructura del área de administración de servicios, se suministra al personal y administra los recursos, se dirige y motiva a las personas, y controla que todo se realice conforme a lo establecido para cumplir con las metas organizacionales. / Trabajo de suficiencia profesional

abstract: In today’s rapidly changing world and competitive business environment, firms are challenged to build their production and distribution systems to provide the desired customer service at the lowest possible cost. Designing an optimal supply chain by optimizing supply chain operations and decisions is key to achieving these goals. In this research, a capacity planning and production scheduling mathematical model for a multi-facility and multiple product supply chain network with significant capital and labor costs is first proposed. This model considers the key levers of capacity configuration at production plants namely, shifts, run rate, down periods, finished goods inventory management and overtime. It suggests a minimum cost plan for meeting medium range demand forecasts that indicates production and inventory levels at plants by time period, the associated manpower plan and outbound shipments over the planning horizon. This dissertation then investigates two model extensions: production flexibility and pricing. In the first extension, the cost and benefits of investing in production flexibility is studied. In the second extension, product pricing decisions are added to the model for demand shaping taking into account price elasticity of demand. The research develops methodologies to optimize supply chain operations by determining the optimal capacity plan and optimal flows of products among facilities based on a nonlinear mixed integer programming formulation. For large size real life cases the problem is intractable. An alternate formulation and an iterative heuristic algorithm are proposed and tested. The performance and bounds for the heuristic are evaluated. A real life case study in the automotive industry is considered for the implementation of the proposed models. The implementation results illustrate that the proposed method provides valuable insights for assisting the decision making process in the supply chain and provides significant improvement over current practice. / Dissertation/Thesis / Doctoral Dissertation Industrial Engineering 2020

Manufacturing organizations are keen to improve their competitive position in the global marketplace by increasing operational performance. Production planning is crucial to this end and represents one of the most challenging tasks managers are facing today. Among a large number of alternatives, production planning processes help decision-making by tradingoff conflicting objectives in the presence of technological, marketing and financial constraints. Two important classes of such problems are lotsizing and scheduling. Proofs from complexity theory supported by computational experiments clearly show the hardness of solving lotsizing and scheduling problems. Motivated by a real-world case, the glass container industry production planning and scheduling problem is studied in depth. Due to its inherent complexity and to the frequent interdependencies between decisions that are made at and affect different organizational echelons, the system is decomposed into a two-level hierarchically organized planning structure: long-term and short-term levels. This dissertation explores extensions of lotsizing and scheduling problems that appear in both levels. We address these variants in two research directions. On one hand, we develop and implement different approaches to obtain good quality solutions, as metaheuristics (namely variable neighborhood search) and Lagrangian-based heuristics, as well as other special-purpose heuristics. On the other hand, we try to combine new stronger models and valid inequalities based on the polyhedral structure of these problems to tighten linear relaxations and speed up the solution process. / Manufacturing organizations are keen to improve their competitive position in the global marketplace by increasing operational performance. Production planning is crucial to this end and represents one of the most challenging tasks managers are facing today. Among a large number of alternatives, production planning processes help decision-making by tradingoff conflicting objectives in the presence of technological, marketing and financial constraints. Two important classes of such problems are lotsizing and scheduling. Proofs from complexity theory supported by computational experiments clearly show the hardness of solving lotsizing and scheduling problems. Motivated by a real-world case, the glass container industry production planning and scheduling problem is studied in depth. Due to its inherent complexity and to the frequent interdependencies between decisions that are made at and affect different organizational echelons, the system is decomposed into a two-level hierarchically organized planning structure: long-term and short-term levels. This dissertation explores extensions of lotsizing and scheduling problems that appear in both levels. We address these variants in two research directions. On one hand, we develop and implement different approaches to obtain good quality solutions, as metaheuristics (namely variable neighborhood search) and Lagrangian-based heuristics, as well as other special-purpose heuristics. On the other hand, we try to combine new stronger models and valid inequalities based on the polyhedral structure of these problems to tighten linear relaxations and speed up the solution process.

Global supply chain management aims to enhance efficiency and profitability for suppliers, manufacturers, logistics providers, and warehouses. It faces challenges due to the complexity involved. To stay competitive, organizations in the industry are leveraging Industry 4.0 technologies, but some struggle with implementation due to limited expertise. The primary challenge of Global Supply Chain Management now is to integrate Industry 4.0 tools and technologies to maintain high-quality standards and optimized processes. This study focused on identifying the key factors that directly affect the success of integrating Industry 4.0 into the supply chain. It examined both tangible and intangible business resources and investigated the mediating role of work engagement. Despite previous research efforts to develop frameworks and methodologies for Global Supply Chain Management and Industry 4.0, there remains a lack of consensus regarding the factors crucial for successful implementation. The availability of business resources and the level of employees' work engagement are considered vital factors that have contributed to this ongoing debate. To validate the latent constructs, confirmatory factor analysis was conducted. The relationship between variables was analyzed using structural equation modeling with AMOS software. The study revealed that physical, financial, human, technological, and organizational resources, along with work engagement, had a positive impact on Industry 4.0 success. Work engagement partially mediated the effects of physical, financial, technological, and organizational resources on Industry 4.0 success. However, the study found that work engagement did not mediate the relationship between human resources and Industry 4.0 success. This study aims to provide a practical roadmap of scalable Industry 4.0 tools that can bring value to supply chain organizations. By transitioning from traditional methods to digitalized approaches, organizations can become more agile, flexible, accurate, and efficient. Ultimately, this transformation can help them gain a competitive advantage in the industry.

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