El presente artículo propone una metodología para la gestión de inventario en bodegas de materia prima para industrias del sector de alimentos concentrados, de tal modo que definan políticas de control de inventario y almacenamiento. En la primera fase se realizó una clasificación ABC de los ítems. La segunda fase determinó el patrón y variabilidad de la demanda de cada ítem. De esta forma, se realizaron los pronósticos y cálculo de los inventarios de seguridad con base en la variabilidad de la demanda y el nivel de servicio deseado. Una vez definido el método de pronóstico de demanda de cada ítem, los errores del pronóstico y la estimación del último dato; en la tercera fase se definió la política de control de inventarios. Finalmente, se realizó un modelo de optimización que permitió apoyar la implementación del proceso de almacenamiento de los inventarios de materias primas. Esta metodología integra la política de control de inventario con la ubicación de este en el almacén, porque una correcta disposición de productos influye de forma directa en el control de existencias. Generando como resultado que las políticas de control de inventario impactan de forma directa en la disposición de materiales dentro del almacén.

PurposeThe purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of humanitarian aid distribution logistics with accessibility constraints.Design/methodology/approachThe authors developed a systematic literature review to study the state of the art on distribution logistics considering accessibility constraints. The electronic databases used were Web of science, Scopus, Science Direct, Jstor, Emerald, EBSCO, Scielo and Redalyc. As a result, 49 articles were reviewed in detail.FindingsThis study identified some gaps, as well as some research opportunities. The main conclusions are the need for further studies on the interrelationships and hierarchies of multiple actors, explore intermodality, transshipment options and redistribution relief goods to avoid severe shortages in some nodes and excess inventory in others, studies of the vulnerability of transport networks, correlational analysis of road failures and other future lines.Research limitations/implicationsThe bibliography is limited to peer-reviewed academic journals due to their academic relevance, accessibility and ease of searching. Most of the studies included in the review were conducted in high-income countries, which may limit the generalizability of the results to low-income countries. However, the authors focused on databases covering important journals on humanitarian logistics.Originality/valueThis paper contextualises and synthesises research into humanitarian aid distribution logistics with accessibility constrains, highlights key themes and suggests areas for further research.

Modelo de planeación y control de la producción a mediano plazo para una industria textil en un ambiente make to order Resumen En el presente artículo se propone una metodología de planeación y control de la producción a mediano plazo para una industria del sector textil en un ambiente make to order. La metodología se basa en dos fases. En la primera fase se desarrolla un modelo de planeación agregada, que permite calcular las cantidades a producir en el taller de confección y la cantidad de prendas a maquilar, de tal forma que se maximice el beneficio total para la industria en el horizonte de planeación. En la segunda fase se plantea un modelo de programación de operaciones cuyo objetivo es secuenciar las cantidades a fabricar en el taller, de tal forma que se minimice el make span. Las dos fases propuestas constituyen una importante herramienta para apoyar la toma de decisiones sobre la gestión de la producción en industrias del sector textil. 170 Revista Ingenierías Universidad de MedellínGerson Arredondo Ortega -Kelly V. Ocampo Jaramillo -Juan P. Orejuela Cabrera -Carlos A. Rojas TrejosPlanning and production control in the medium term for textile industry model in a make to order environment AbstractIn this paper a methodology for planning and control of production in the medium term is proposed for the textile industry sector in a make to order environment. The methodology is based on two phases arising from the characteristics of the production system. In the first phase, an aggregate planning model, which allows the calculation of quantities produced in the own workshop and the amount to outsource of clothes to work on so that it meets the economic objectives and obtain the greatest benefit for the industry in the planning horizon. In the second stage, an operations programming model is proposed, which aims at producing sequences for the quantities that need to be produced in the workshop so that the make span is reduced. The two proposed phases constitute an important tool to support decision-making on production management in the textile sector.

Introduction. This research addresses the problem of internal materials supply operations in a pre-milling type concentrate food plant. The required amount of raw materials for production in the internal supply chain is determined by minimizing the total relevant operational cost, made up by the setup cost and the stock maintenance cost, which maximizes efficiency of the resources used in the process. This study takes into account such factors as capacity of the hoppers, the time-dependent setup sequence, routes of supply hoppers, filling rates and supply times, based on a model of mixed-integer linear programming. Objective: Provide a strategy that allows efficient use of resources in the production process, subjected to the demand of materials from the material requirements planning (MRP) of the company under study. Materials and methods. The short-term multi-period model defines the scheduling of elevators and conveyors for each time period, and the amount of raw materials that is sent to each hopper and bins. Results. This research determines the amount of initial stock required to operate, as well as the operations strategy that the company under study must follow, so that it meets the demand for raw materials, making efficient use of the resources used in the production process. Conclusion. In the analysis of results and presentation of scenarios, the most representative cost, the one related to stock maintenance, could be observed. Since this is a critical factor for companies belonging to this sector, we present an innovative proposal, both in practice and in the literature, to contribute to minimizing the total setup cost and the cost of maintenance of raw material stock in hoppers through a rational use of resources.