Efectos de la complejidad y la incertidumbre sobre la programación del lote económico de producción
[EN] The economic lot scheduling problem (ELSP) focuses on accommodating cyclical production patterns of several items on a single facility where only one product can be produced at a time. In this way, the ELSP is an extension to various products of the classic economic order quantity problem, whos...
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| Tipo de recurso: | tesis doctoral |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/61300 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/61300 |
| Access Level: | acceso abierto |
| Palabra clave: | ELSP Secuenciación Lotificación Gestión de stocks ORGANIZACION DE EMPRESAS |
| Sumario: | [EN] The economic lot scheduling problem (ELSP) focuses on accommodating cyclical production patterns of several items on a single facility where only one product can be produced at a time. In this way, the ELSP is an extension to various products of the classic economic order quantity problem, whose analysis was originally addressed by Harris (1913) and his famous EOQ formula. There are multiple approaches to the resolution and modeling of the ELSP. However, most papers focus on the evaluation or optimization of a single class of policies without distinct comparison with other strategies (Winands et al. 2011). It is very unlikely that a certain policy will outperform the competing strategies in each production environment. As a result of this, the objective of this thesis is to conduct a simulation study to compare the performance of different heuristics designed for ELSP. The aim of this study is to prove that the effectiveness of a heuristic procedure, designed from a particular approach to the problem, is heavily dependent on the productive environment in which it is used. Therefore, a simulation study to analyze the performance of ten different heuristic rules under different working conditions is addressed. These different working conditions are considered from the perspective of the complexity and uncertainty of production scenario. Thus, a set of drivers of complexity (number of items and homogeneity regarding different features of the products) and drivers of uncertainty (Uncertainty in demand) that define the productive environment are considered. The results of the study confirm that the performance of the heuristics designed for ELSP is strongly dependent upon the conditions of complexity and uncertainty of the scenario in which they are used. This result is notably relevant to the applicability of the decision algorithms in industrial environments. This conclusion implies that changes on the particular characteristics of the articles, or on the product mix itself, will determine the performance of the rules used, even if the changes do not alter the overall workload of the plant. |
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