Supply chain management

Nos últimos anos, a economia mundial e a economia brasileira têm sofrido mudanças importantes. Fusões, aquisições e alianças estratégicas têm se multiplicado. Parte considerável destas mudanças relaciona-se com profundas alterações nos sistemas de valores de todos os segmentos industriais. A busca da competitividade relaciona-se cada vez mais com a busca do ótimo sistêmico além das fronteiras da empresa. Neste contexto, a administração logística ganha nova dimensão, envolvendo a integração de todas as atividades ao longo da cadeia de valores e do sistema de valores, das matérias-primas ao cliente final. O objetivo deste trabalho é (re)situar a administração logística no contexto de mudanças, enfatizando a metodologia da gestão da cadeia de demanda (supply chain management).

GREEN SUPPLY CHAIN: PROTAGONISTA OU COADJUVANTE NO BRASIL?

Questões ambientais passaram a ser introduzidas com maior frequência nos negócios empresariais. Quanto à cadeia de suprimentos, Green Supply Chain Management (GSCM) surge como novo enfoque à responsabilidade das empresas com o meio ambiente. Este artigo objetiva analisar a difusão do conceito e das práticas de GSCM no cenário brasileiro. Para tanto, foram realizadas entrevistas com especialistas do tema cadeia de suprimentos na área de Administração no Brasil. Os resultados indicam que as razões para o lento desenvolvimento do conceito podem relacionar-se com características do mercado nacional, foco empresarial em aspectos internos, falta de legislação rígida e baixa pressão dos consumidores. Especialistas percebem, entretanto, boas perspectivas para o futuro das discussões da temática no País, em virtude da Política Nacional dos Resíduos Sólidos, de pressões do mercado internacional e da busca por certificação ambiental. Este estudo procurou fomentar novas discussões sobre GSCM no Brasil.

SUPPLY CHAIN RESILIENCE ANALYSIS: A BRAZILIAN AUTOMOTIVE CASE

Supply chain (SC) resilience and flexibility are important research topics receiving growing attention. However, the academic literature needs empirical studies on SC resilience capable of investigating the inter-organizational components of flexibility along different tiers. Therefore, this paper analyzes the main lack of flexibilities in three Brazilian automotive SCs that limit their resilience and therefore their capacity to better support and meet the demand changes in the marketplace. A multi-tier case study approach is adopted. Research findings identify lack of flexibilities in different tiers that inhibit the SC resilience as well as manufacturing and SC flexibilities that build SC resilience. The findings also highlight that the same SC may have the flexibility to be resilient for one of its products but not for another product, what sheds new lights on the academic literature. Finally, flexible SCs should be designed to increase SC resilience to cope with mishaps as significant demand changes.

Avaliação dos modelos de Supply Chain : Lean, Agile e Leagile : uma abordagem empírica

Dissertação de Mestrado em Ciências Económicas e Empresariais.

Supply chain optimization of residual forestry biomass for bioenergy production: the case study of Portugal

Within a large set of renewable energies being explored to tackle energy sourcing problems, bioenergy can represent an attractive solution if effectively managed. The supply chain design supported by mathematical programming can be used as a decision support tool to the successful bioenergy production systems establishment. This strategic decision problem is addressed in this paper where we intent to study the design of the residual forestry biomass to bioelectricity production in the Portuguese context. In order to contribute to attain better solutions a mixed integer linear programming (MILP) model is developed and applied in order to optimize the design and planning of the bioenergy supply chain. While minimizing the total supply chain cost the production energy facilities capacity and location are defined. The model also includes the optimal selection of biomass amounts and sources, the transportation modes selection, and links that must be established for biomass transportation and products delivers to markets. Results illustrate the positive contribution of the mathematical programming approach to achieve viable economic solutions. Sensitivity analysis on the most uncertain parameters was performed: biomass availability, transportation costs, fixed operating costs and investment costs. (C) 2015 Elsevier Ltd. All rights reserved.

An information model for lean, agile, resilient and green supply chain management

Dissertação para a obtenção de Grau de Mestre em Engenharia e Gestão Industrial

Lean, agile, resilient and green supply chain management interoperability assessment methodology

Dissertação para obtenção de grau de Mestre em Engenharia e Gestão Industrial (MEGI)

Modelling resilience in supply chain

Dissertação para obtenção do Grau de Doutor em Engenharia Industrial

The effect of demand information sharing in a supply chain under demand uncertainty: a simulation study

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Supply chain integration model: practices and customer values

Dissertation to obtain PhD in Industrial Engineering

An ANP model to support decision-making in a Portuguese pharmaceutical supply chain

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

A simulation model for lean, agile, resilient and green supply chain management: practices and interoperability assessment

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

How to improve supply chain performance of a specialized retailer: Managing landed costs of Zippy’s global supply chain

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.