La tesis muestra los argumentos usados para demostrar que la empresa editorial requiere una mejora en la Planificación y control de la producción, la cual permitirá principalmente reducir los altos costos de fabricación de los productos y un plan de producción acorde a la demanda, mejora continua y rediseño de sus procesos y actividades. El documento sintetiza el Marco Teórico, el cual describe el sistema productivo y las características de la programación de la producción, así como la metodología usada, poniendo énfasis en el plan de producción, ya que el comportamiento de la producción no es constante sino variable dependiendo de la demanda de cada producto. Luego se analiza la situación actual de la empresa mostrando las características de procesos e infraestructura que tiene la empresa del editorial mostrando un análisis enfocado por familia de productos, además se muestra un análisis detallado de las causas principales que originan los desfases de la producción no acorde a la demanda de los productos. Posteriormente se muestra las propuestas de solución relacionado con la implantación de temas de Planeamiento y control de producción, los cuales tienen un análisis económico que justifica las propuestas. Por último, las conclusiones y recomendaciones de la propuesta donde se resalta las soluciones, las cuales son las más viables desde el punto de vista técnico y económico. / The thesis shows the arguments used to demonstrate that the publishing company requires an improvement in the planning and control of production, which, mainly, the low costs of manufacturing the products and a production plan according to the demand, continuous improvement and redesign of its processes and activities. The document synthesizes the Theoretical Framework, which describes the production system and the characteristics of the production schedule, as well as the production behavior is not constant and variable depending on the demand of each product. Then the current situation of the company is analyzed. that shows the characteristics of the processes and the infrastructure that the publishing company has that shows an analysis focused on the family of products, in addition it shows a detailed analysis of the main causes that originate the products of the production not according to the demand of the products. Subsequently, the solution proposals are shown related to the implementation of Planning and production control issues, which have an economic analysis that justifies the proposals. Finally, the recommendations of the proposal were the most recent solutions, which were more viable from a technical and economic point of view. / Tesis

M.S.

No description available.

No description available.

The production control system of a shop consists of three stages: due-date prediction, order release, and job dispatching. The literature has dealt thoroughly with the third stage, but there is a paucity of study on either of the first two stages or on interaction between the stages. This dissertation focuses on the first stage of production control, due-date prediction, by examining methodologies for improved prediction that go beyond either practitioner or published approaches. In particular, artificial neural networks and regression nonlinear in its variables are considered. In addition, interactive effects with the third stage, shop-floor dispatching, are taken into consideration. The dissertation conducts three basic studies. The first examines neural networks and regression nonlinear in its variables as alternatives to conventional due-date prediction. The second proposes a new cost-based criterion and prediction methodology that explicitly includes costs of earliness and tardiness directly in the forecast; these costs may differ in form and/or degree from each other. And third, the benefit of tying together the first and third stages of production control is explored. The studies are conducted by statistically analyzing data generated from simulated shops. Results of the first study conclude that both neural networks and regression nonlinear in its variables are preferred significantly to approaches advanced to date in the literature and in practice. Moreover, in the second study, it is found that the consequences of not using the cost-based criterion can be profound, particularly if a firm's cost function is asymmetric about the due date. Finally, it is discovered that the integrative, interactive methodology developed in the third study is significantly superior to the current non-integrative and non-interactive approaches. In particular, interactive neural network prediction is found to excel in the presence of asymmetric cost functions, whereas regression nonlinear in its variables is preferable under symmetric costs. / Ph. D.

The vitamin K-dependent family of proteins (VKDs) include prothrombin, factors VII, IX, and X, and protein C (hPC) is synthesized in the liver and act to maintains normal hemostasis. such as properly regulated clotting. An imbalance of any of these pro- or anti-clotting proteins result in hemophilia or disseminated intravascular clotting diseases. Therefore, these proteins have a significant therapeutic value. Many of these proteins are not available in sufficient quantity due to the trace amounts found in plasma and limitations encountered with downstream recovery. Protein C, a major regulatory protein of thrombosis and hemostasis, has a potent anticoagulant activity and can be used as an anti-thrombotic agent. The technology for isolating hPC from human plasma is challenged by; (1) its low concentration in plasma, (2) the limited availability of plasma, (3) similar physicochemical characteristics among VKD plasma proteases, and (4) the risk of transmitting viruses such as the human immunodeficiency virus (HIV). This work focuses on the isolation of protein C from alternative sources for the large-scale production and downstream recovery of highly purified and biologically active hPC. The partial characterization of the protein with respect to post-translational modifications which are essential for functionally active, was also evaluated. Several studies were undertaken: 1. Cohn Fraction IV-I, an off-line discard stream during traditional plasma fractionation process is introduced as an affordable starting material for the large-scale production of hPC. More than 90 percent of the total protein C antigen detected in the various Cohn fractions was found to reside in fraction IV-I. The protein C isolated from Cohn IV-I paste using a metal-dependent monoclonal antibody to hPC was found to be biologically active. 2. Recombinant production of hPC in the milk of transgenic pigs, achieved by targeting the synthesis of the protein to the mammary gland, is presented as a model bioreactor system for the synthesis and downstream recovery of complex human proteins. Two major populations of biologically active recombinant hPC (rhPC) were detected and immunopurified by employing conformation specific metal-dependent monoclonal antibodies in the immunopurification process. A high performance thin layer chromatography method was also developed for the detection of total carbohydrate compositions in protein C. / Ph. D.

M.S.

M.S.

In many situations, different consumers have different degrees of willingness to wait to get delivery of a product. So, consumers can be segregated based upon the demand lead time they are providing. In this paper, two types of consumers have been considered. The first category needs immediate delivery of the product, so there is no demand lead time; whereas for the other category, demand lead time is positive. A manufacturer, which produces the items using a base stock policy, can benefit from the advance demand information that the second category of consumers are providing. Early fulfillment for a particular order means fulfilling the order before the demand lead time. In this research, it is shown that a restrictive early fulfillment policy can help the firm to reduce the chances of order loss. A production control approach for restrictive early fulfillment is discussed and the factors that may affect the early fulfillment policy are examined. / Master of Science

The planning and control of manufacturing systems is a complex activity involving a myriad of decisions and optimization algorithms. ln a Computer Integrated Manufacturing System (CIMS) these decisions and algorithms span several functions, require information from several sources, and have consequences in several sectors of the manufacturing system. This dissertation is concerned with the development of a structured methodology for executing this activity. Therefore, the primary activities are first, to develop the framework for a Computer Integrated Production Planning and Control (ClPP&C) system, and second, to formulate and solve specific mathematical models which are nested in the developed framework. The framework functions as a "city plan" for the production control activity in a CIMS environment, while the mathematical methodologies are pieces of the decision architecture. Achieving a CIMS implies achieving an integrated manufacturing system. Implying the production control system needs to be designed with specific consideration of the concepts, issues, and principles of integrated manufacturing. As such, these concepts, issues and principles are identified and developed in this research. A model of CIMS is developed and the role of ClPP&C is analyzed. A framework for integration in manufacturing is developed and used to guide the modeling efforts. . The ClPP&C "city plan" is developed using an adaptation of the IDEF methodology. The objective of the plan is to define the separate problems which are to be solved in production control, the interrelationships between these problems, and the synergy which causes them to behave as a single system. This research specifically addresses the master aggregate scheduling (MA-Schedule) and the coordinating production scheduling (CP-Schedule) problems within the CIPP&C plan. The MA-Scheduling problem prescribes how much of a family is to be produced in a time period, and is formulated in detail as a non-linear 0-1 mixed integer program. The formulation aggregates capacity, time, and products; models routing and capacity flexibility; and considers the availability of material transporters. The solution procedure incorporates linearization methods, preprocessing algorithms, and large-scale MIP solvers. The CP-Schedule is formulated as two separate problems. The first disaggregates time and product and is to be solved as a MIP. The second problem determines the start time of each product batch at a cell. lt is equivalent to the minimum makespan problem and solution approaches are discussed. A network of programs was designed to execute the scheduling methodology. Experimental results with the methodology are reported. These results provide insights into system performance in various conditions. Specifically, the impact of flexibility, loading, transporter availability, and cost dimensions are analyzed. / Ph. D.