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The Cutting stock problem is of great importance for manufacturing companies that involving the process of cutting large rolls of some material into small strips of different widths, considering the effect this has on product inventories in process and raw materials. Proper management of this problem not only generates beneficial economic but also generates sustainable impacts, to the extent that seeks a balance between the cost of inventory and process waste. This paper first presents an overview of what complexity means in solving a problem of this type in a company. His background is set out with the most important works in the literature, highlighting some Colombian jobs. Then, we present classification problem and suggestions from other aspects are provided to consider when addressed cutting stock problem. Finally are framed the four most common approaches to solution giving ideas for future research, hoping thereby contribute to the development of the topic. [ABSTRACT FROM AUTHOR]

This paper shows a methodology based on neural networks to prioritize some market areas with a business approach. In this research, we try to resolve the uncertainty that exists in most organizations around the priority of a market area. The research problem is supported by the lack of tools to estimate the priority of a market area and for the lack of an effective interface between logistics and marketing departments. To solve this situation we used a special neural network (Kohonen Maps). These maps are a type of neural network to facilitate the grouping of customers and they allow determining which the most are frequently affecting the previously established criteria dealing prioritization. Finally, three scenarios are propose to validate the behavior of neural networks to prioritize market areas. [ABSTRACT FROM AUTHOR]

This article presents an analytic model for managing inventories in a butchers shops, considering the costs of obsolescence and stockout. In order to handle the cost of obsolescence we consider a variety of prices which were decreased while the product remains in storage. This aim of the model is to determine the optimal order quantity to maximize the utility in the point of sale of pork. We present the analysis of obsolescence and the possibility of supplying pork meat per cut type and also considering to buy the whole pork. [ABSTRACT FROM AUTHOR]

Transfer Stations are facilities dedicated to management, and solid waste transfer of a vehicle to another with greater capacity, which transports them to their place of use or disposal. The main purpose of the research is to represent the location of these kind facilities through a model of mixed integer linear programming, which consider different characteristics of stations such as total capacity and materials recovery. Total costs minimization is the main objective. To do this, we minimize opening fixed costs, transportation costs and operating costs evaluated at the current time through a function of present cost equivalent. [ABSTRACT FROM AUTHOR]

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Traditionally assembly lines have been used to produce high volumes of a single model. To take advantage of these lines in flexible manufacturing environments, we can implement mixed model lines which allow manufacturing different products of a family in the same line, however, its balancing requires different techniques that traditional. In this research, a literature review was made to analyze the factors affecting the mixed model lines in MTO environments and based on this we developed a mathematical optimization model to stabilize workloads making easier the decision about production sequences that are programmed on the line. The model was run in several instances and the results were significantly better than those obtained with a line balancing traditional method. [ABSTRACT FROM AUTHOR]

Copyright of Revista Entramado is the property of Universidad Libre Seccional Cali and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction. Cutting stock problem covers the issue of cutting big rolls of any material (paper, fabrics, steel, wood, etc) in small shreds with different widths that, can, then, be used as the raw materials to elaborate a final product. The lengths of these shreds are defined by the clients or according to the specific conditions required by the production process. Objective. Developing a mathematical model that allows the planning and the programming of a cutting process for steel rolls in order to solve the question "how to configure the cutting of rolls satisfying the requirements of the demand and simultaneously minimize the remains and the inventory levels in a metallurgic company? Materials and methods. A methodological model was made and applied in a production plant in which Steel pipes are made. Waste levels of about 15% per cut roll were found in the place. Results. This, under lost weight terms, reached up to 25 tons per 1700 tons produced in a month, thus making the inventory levels of in process products to be exceeded by up to 24% of the storage capacity. Conclusions. The main result of the methodology is a 4% reduction of the weekly cost of waste, compared to the real process of the company. [ABSTRACT FROM AUTHOR]

In 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. [ABSTRACT FROM AUTHOR]