Search

This paper suggests a hybrid model to solve a distribution problem incorporating the impact of uncertainty in the solution. The model combines the deterministic approach and the simulation including stochastic variables such as harvest yield, loss risk and penalties/benefits to design a distribution network with the minimal cost. Through a case study that includes farmers, hubs and malt producers in the supplying chain of barley in Mexico, nine possible scenarios were analyzed to plan and distribute the harvested grain based on contract farming. This approach gets an optimal solution through an iterative process simulating the suggested solution by a mixed-integer linear programming model under uncertain conditions. The results show the convenience of maintaining the operation between four and five hubs depending on the possible scenario; besides, the variation of the levels of the barley producers' capacities are key elements in the planning to minimize the distribution cost throughout the suggested chain. [ABSTRACT FROM AUTHOR]

El trabajo identifica 123 problemáticas cada una de las cuales es vinculada en la estructura mediante una notación. Para ilustrar el desarrollo de trabajos futuros se usa como ejemplo de caracterización el problema de programación de la producción. La estructura aquí definida establece una base que facilita el despliegue teórico de nuevos desarrollos en gerencia de la cadena de abastecimiento y a su vez facilita la labor de los tomadores de decisión. El trabajo representa un esfuerzo por establecer una visión holística para el estudio de la cadena y su mejoramiento en términos de competitividad y sostenibilidad en pro del beneficio de sus stakeholders.

The current contribution intends to identify, characterize and provide context to the most usual supply chain problems. One hundred and twenty three SC problems were identified and addressed in a specific area that locates them within the context of the fundamental SC components. The conceptual framework developed here identifies different degrees of similarity among SC problems. Finally, as a practical example, the production scheduling problem is characterized. By making the interactions among SC problems and the implications of the available decisions that are likely to solve them clear, the present contribution is not only a useful scorecard for decision makers, but it is also an upgraded conceptual development for theoreticians on the topic. As they are the central object of business competitiveness, SC improvements such as the present one are greatly valuable in terms of the social and economic profit of more efficient chains, sustainable organizations and wealthy stakeholders. [ABSTRACT FROM AUTHOR]

Supply chain (SC) management implies a large number of interactions and a great deal of cooperation between the organizations that make up the supply chain in order to fulfill the purposes of logistics processes such as supply, distribution and warehousing. Much research has been carried out to illustrate the advantages of coordinating these processes at different stages of supply chain planning. However, these studies appear to be separate efforts. This study proposes methodological guidelines for the coordinated planning of the supply chain in the context of the healthcare services, considering the global benefits to its members by using primary information collected at several health service institutions. The proposal also includes a mixed-integer programming model to show how organizational coordination contributes to a reduction of the overall costs throughout the chain. [ABSTRACT FROM AUTHOR]

In this paper a model for the vehicle routing problem with stochastic components of demand, service time and delivery time for perishable products is presented. The purpose of the paper is to present an alternative to the problem of collecting the flower industry, using a model that reflects the stochastic behavior in collecting flowers, required by companies in Colombia. The model incorporates three stochastic components and a restriction not reported earlier by other authors. The solution method includes clusters for collection points, route design, allocation to truck routes, Monte Carlo simulation and a regression model to obtain the equation of the total system cost and optimal point of replenishment. [ABSTRACT FROM AUTHOR]

This paper presents the results of the general modelling process for the logistics of medicines distribution within the public health program in Colombia. The model is grounded in verifying the conditions on the current information for the logistics distribution system of the medicines in the six (6) public health programs in Colombia. Verification on the structure and robustness of the created model is developed through an emulation system based on the matrix of real information, and later verified by using a discrete simulation program developed in visual.Net with input and output to Excel. The proposal is tested and validated through GAMS® – General Algebraic Modelling System, with the formulation of three operational scenarios that achieve savings up to 57,44% of the total cost of the public health medicines logistics system. [ABSTRACT FROM AUTHOR]

A key element in assessing reliability in urban freight distribution (UFD) is the probability density function (PDF) of the variables that characterize the performance of the distribution routes. This article presents a method for modeling the PDF with an approach based on the Markov models, under the assumption that the present status of reliability of a route depends only on its immediate previous state. Currently, the PDF is obtained directly from the field, therefore an analytical model that provides certainty to the analysis is essential. The results are applicable both to the design of routes and operation of the same process. The originality of this work is based on the development of a methodological procedure to assess the reliability of the components of a path, complementary to current methodologies to calculate network reliability. [ABSTRACT FROM AUTHOR]

The current economic crisis has led companies worldwide to pursue costs reductions in order to remain productive. To support this effort we propose an analytical model to establish the optimal lot size based on the celebrated EOQ (Economic Order Quantity) model. The value of this model is that -in order to provide solutions closer to the actual optimal- it includes several costs factors, many of them never before considered. Of particular interest are the incorporation of two characteristics of the model, the "Logistical index" first published in Revista Dyna Colombia, 179 [1], and the possibility of working with variable production times, features never included in a model of this type before. Also, to facilitate the implementation of this model several in companies, including SMEs, two simplifications and a solved problem are showed. [ABSTRACT FROM AUTHOR]

The organization of the production constitutes a way of elevating the level of efficiency and effectiveness in the companies. The crisis economic world cup has resulted in a depression in the market of drinks. For what becomes necessary a better organization of the production in this sector to optimize the resources to use and to achieve the proposed objectives. Keeping in mind it this work intends as general objective: to design a procedure of organization of the production for this sector. As a result main of the work they are obtained: a procedure of the organization of the production focused in the client's necessities, being recognized in the organization the necessity of the integrity of all the parts of the system to achieve the effectiveness and the efficiency. This it was applied in the Company of Drinks and Sodas of Havana, Cuba with a remarkable impact in the sales. [ABSTRACT FROM AUTHOR]