Frontier models and preference elicitation in the productivity and efficiency analysis

• Ano de defesa: 2019
• Autor(a) principal: NEPOMUCENO, Thyago Celso Cavalcante
• Orientador(a): COSTA, Ana Paula Cabral Seixas
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Pernambuco
• Programa de Pós-Graduação: Programa de Pos Graduacao em Engenharia de Producao
• País: Brasil
• Palavras-chave em Português: Engenharia de Produção; Análise de produtividade e eficiência; Tomada de decisão multicritério; Funções de distância direcional; Análise de envoltória de dados; Revisão bibliométrica
• Link de acesso: https://repositorio.ufpe.br/handle/123456789/36207

This doctoral dissertation aims to explore the state of the art in the field of Productivity and Efficiency Analysis and to propose an efficiency elicitation for choosing a viable direction of which outputs should be expanded and/or entries are contracted according to a predefined decision maker preference structure. The state of the art in the Productivity and Efficiency Analysis is investigated through bibliometric networks in three instances (chapters) composing this doctoral thesis: The state of the art in the Data Envelopment Analysis since the seminal paper of Charnes et al. (1978), exploring the theoretical developments, models and applications in the field; a survey on the available computational developments, software and packages dedicated to the efficiency and performance evaluation, and a meta-surveys on the current surveys of empirical application. Through an elicitation process of the decision makers preferences, multi-criteria outranking procedures with the imposition of preference, indifference and veto threshold are used to model the policy maker evaluation into directions that represent a measure of global importance in the usage of resources (instead of trade-offs). Some of the main contributions of the proposed model are the decomposition of a relative measure of inefficiency for each resource and for each outcome based on a predefined preference structure; the optimal level of contraction in the input distance function or expansion in the output distance function case; an absolute measure of inefficiency with the slacks based on a predefined preference structure; the benchmark units serving as the reference for the linear combination from which efficient practices might be inferred; and a ranking of (efficient and effective) alternatives taking into consideration the preference and pre-defined policies from the decision maker.