A Production Planning Optimization Model for Maximizing Battery Manufacturing Profitability

2012 ◽  
pp. 343-351
Author(s):  
Hesham K. Alfares

This paper presents an integer programming (IP) model for production planning, which is used to maximize the profitability of battery manufacturing in a mid-size company. Battery production is a complicated multi-stage process. The formation stage, during which the batteries are filled with acid and charged with electricity, is considered to be the bottleneck of this process. The IP model maximizes the total profit of batteries produced in the formation stage, subject to limited manufacturing resources as well as time limitations and demand restrictions. The IP model is able to accommodate a large variety of battery models and sizes, and also different charging circuit capacities and speeds. The model is formulated and optimally solved using Microsoft Excel Solver. Compared to the current manual production planning approach, the optimum IP-generated production plans lead to an average increase of 12% in daily profits.

2012 ◽  
Vol 1 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Hesham K. Alfares

This paper presents an integer programming (IP) model for production planning, which is used to maximize the profitability of battery manufacturing in a mid-size company. Battery production is a complicated multi-stage process. The formation stage, during which the batteries are filled with acid and charged with electricity, is considered to be the bottleneck of this process. The IP model maximizes the total profit of batteries produced in the formation stage, subject to limited manufacturing resources as well as time limitations and demand restrictions. The IP model is able to accommodate a large variety of battery models and sizes, and also different charging circuit capacities and speeds. The model is formulated and optimally solved using Microsoft Excel Solver. Compared to the current manual production planning approach, the optimum IP-generated production plans lead to an average increase of 12% in daily profits.


2011 ◽  
Vol 460-461 ◽  
pp. 540-545
Author(s):  
Guo Zhang Jiang ◽  
Jian Yi Kong ◽  
Gong Fa Li ◽  
Liang Xi Xie

In accordance with the main flow characteristics of steel and iron production process, some problems are analyzed coming from the making, performance and feedback of the production planning of iron and steel business enterprises in this paper. By using operation research theories and genetic algorithms, one advanced planning model of iron and steel productions suitable of various circumstance and environments is established to set up on the factor of the segment and environment variety. Penalty function is adopted in the course of getting solution. These parameters of scale of father population, crossover probability, mutation probability and penalty factor are combined and optimized. At the same time, to improve these algorithms and the solution process actually, some optimized models and projects were put forward from some plans on the basis of collecting information. It accords with the actual conditions of this enterprise basically that the optimization solution to production plans of real iron and steel enterprise by using the algorithm.


2014 ◽  
Vol 5 (3) ◽  
pp. 23-32 ◽  
Author(s):  
Edward Kozłowski ◽  
Walter Terkaj ◽  
Arkadiusz Gola ◽  
Mikuláš Hajduk ◽  
Antoni Świć

Abstract The traditional production planning model based upon a deterministic approach is well described in the literature. Due to the uncertain nature of manufacturing processes, such model can however incorrectly represent actual situations on the shop floor. This study develops a mathematical modeling framework for generating production plans in a multistage manufacturing process. The devised model takes into account the stochastic model for predicting the occurrence of faulty products. The aim of the control model is to determine the number of products which should be manufactured in each planning period to minimize both manufacturing costs and potential financial penalties for failing to fulfill the order completely.


Author(s):  
Ruan R.F.F. Chagas ◽  
Paulo H. Modesti ◽  
Milton Borsato

Having good production planning is essential to companies who need to maximize the use of their resources and boost their profits. However, to formulate efficient production planning is necessary to consider many variables. That makes analytical solutions almost impossible, forcing companies to use computational methods to solve this kind of problem. Even so, because of the complexity of the problems, much computational effort is needed. In that sense, using 4.0 industry concepts, like artificial intelligence, has been helping companies formulate optimal, or near-optimal, production plans for their process in a feasible time. Since each company has different characteristics and variables, the possibilities to formulate and optimize production planning are diverse. Thus, many case studies can be carried out. Generating a huge range of research opportunities. So, this study is a survey attempting to find some of these gaps through a systemic and bibliometric analysis. To achieve this goal the methodological procedure Knowledge Development Process – Constructivist (ProKnow – C) was used. This method aims to minimize the amount of content out of alignment with the research subject. In the first search, 44,609 articles were found, and after a filtering process that prioritized scientific recognized articles and journals, only 15 articles remained. Finally, common themes among the articles and opportunities for future work were highlighted.


Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1257
Author(s):  
Xiaoyong Gao ◽  
Yue Zhao ◽  
Yuhong Wang ◽  
Xin Zuo ◽  
Tao Chen

In this paper, a new Lagrange relaxation based decomposition algorithm for the integrated offshore oil production planning optimization is presented. In our previous study (Gao et al. Computers and Chemical Engineering, 2020, 133, 106674), a multiperiod mixed-integer nonlinear programming (MINLP) model considering both well operation and flow assurance simultaneously had been proposed. However, due to the large-scale nature of the problem, i.e., too many oil wells and long planning time cycle, the optimization problem makes it difficult to get a satisfactory solution in a reasonable time. As an effective method, Lagrange relaxation based decomposition algorithms can provide more compact bounds and thus result in a smaller duality gap. Specifically, Lagrange multiplier is introduced to relax coupling constraints of multi-batch units and thus some moderate scale sub-problems result. Moreover, dual problem is constructed for iteration. As a result, the original integrated large-scale model is decomposed into several single-batch subproblems and solved simultaneously by commercial solvers. Computational results show that the proposed method can reduce the solving time up to 43% or even more. Meanwhile, the planning results are close to those obtained by the original model. Moreover, the larger the problem size, the better the proposed LR algorithm is than the original model.


2018 ◽  
Vol 108 (03) ◽  
pp. 137-142
Author(s):  
J. Atug ◽  
S. Braunreuther ◽  
G. Reinhart

Starke Nachfrageschwankungen insbesondere in der auftragsbezogenen Produktion sowie die Forderung nach kürzeren Lieferzeiten und höherer Termintreue führen zu erhöhten Anforderungen an die zukünftige Produktion. Um diesen Anforderungen gerecht zu werden, bedarf es dynamischer Produktionsnetzwerke. In diesem Fachbeitrag wird eine Methode zur kurzfristigen Anpassung von Produktionsnetzwerken durch Rekonfiguration in der auftragsbezogenen Produktion vorgestellt.   Increasing demand volatility in order-based production as well as the need of shorter delivery times and high adherence to schedules leads to high requirements of the future production. To meet these essential requirements dynamic production networks are needed. In this technical contribution a production planning approach of short-term reconfiguration of production networks in the order-based production is given.


2017 ◽  
Vol 7 (14) ◽  
Author(s):  
David F. Lozano Treviño ◽  
José N. Barragán Codina ◽  
Sergio Guerra Moya ◽  
Paula Villalpando Cadena

Abstract: The main purpose of this document is to give statement of the importance that the innovative ideas of the Mexican commercial films organizations have, so they can create attractive movies for the spectators in the United States market and increase the film business. Also, we discuss the need that the organizations have to create production plans that allow them to reduce the costs, as much as possible, during the production. This will be the beginning to develop an appropriate commercializing into the United States by the Mexican organizations that will allow us to obtain an attractive revenue,always looking towards the United State customers´ satisfaction. Finally, we analyze the critical factors of success or failure in the Mexican commercial film productions, taking into account the financial aspects, like the production investment, government supports and the return over the investment; theinternational marketing, that includes the film promotion and the distribution and exhibition; and the artistic aspect composed by the human talent and the movie story.Key Words: Causal factors of success, film commerce, film production enterprise, human resources, innovative ideas, production planning, revenueResumen: El presente documento tiene como finalidad plasmar la importancia que tienen las ideas innovadoras de las organizaciones de producciones cinematográficas en México para que puedan crear películas atractivas para los espectadores en el mercado estadounidense y aumentar la comercialización de las mismas. También, se comenta la necesidad que tienen dichas organizacionesde crear planes de producción que les permitan reducir los costos, lo más posible, durante la filmación. Lo anterior será el inicio para desarrollar una comercialización adecuada a los Estados Unidos por  parte de las organizaciones mexicanas, que les permitirá obtener atractivos rendimientos, buscando siempre la satisfacción del consumidor estadounidense. Por último, se analizan los factores críticos de éxito o fracaso en las producciones cinematográficas comerciales mexicanas, mencionando los aspectos financieros, como lo son la inversión en la producción, los apoyos gubernamentales y el retorno sobre la inversión; el marketing internacional, que incluye la promoción de películas y su distribución y exhibición; y el aspecto artístico comprendido por el talento humano y la historia que se cuenta en la película.Palabras Clave: Comercialización de películas, factores causales de éxito, ideas innovadoras, organización de producción cinematográfica, planeación de la producción, recursos humanos, rendimientos


2021 ◽  
Vol 10 (16) ◽  
pp. 3554
Author(s):  
Dionysios J. Papachristou ◽  
Stavros Georgopoulos ◽  
Peter V. Giannoudis ◽  
Elias Panagiotopoulos

Fracture-healing is a complex multi-stage process that usually progresses flawlessly, resulting in restoration of bone architecture and function. Regrettably, however, a considerable number of fractures fail to heal, resulting in delayed unions or non-unions. This may significantly impact several aspects of a patient’s life. Not surprisingly, in the past few years, a substantial amount of research and number of clinical studies have been designed, aiming at shedding light into the cellular and molecular mechanisms that regulate fracture-healing. Herein, we present the current knowledge on the pathobiology of the fracture-healing process. In addition, the role of skeletal cells and the impact of marrow adipose tissue on bone repair is discussed. Unveiling the pathogenetic mechanisms that govern the fracture-healing process may lead to the development of novel, smarter, and more effective therapeutic strategies for the treatment of fractures, especially of those with large bone defects.


2013 ◽  
Vol 17 (1) ◽  
pp. 84-88
Author(s):  
Aboubaker Altiaieb Moussttfa ◽  
Dušan Malinžák

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