Planning of capacities and orders in build-to-order automobile production: A review

Völling, Thomas; Matzke, Andreas; Grünewald, M.; Spengler, Thomas S.

doi:10.1016/j.ejor.2012.07.034

Cited by 47 publications

(23 citation statements)

References 63 publications

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“…Wittek et al (2011) formulate MIP models for mid-term model plant allocation in the automotive industry. Volling et al (2013) point out that capacity planning and ramp-up and ramp-down decisions are closely linked. However, those product-to-plant allocation models assign products to production plants but do not consider ramp-up effects.…”

Section: Decisions Of Strategic Ramp-up Planning and Related Literaturementioning

confidence: 98%

Strategic ramp-up planning in automotive production networks

Becker

Stolletz

Stäblein

2016

International Journal of Production Research

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In many industries, the frequency of production ramp-ups has increased due to shorter product life cycles and increased product variety. Production often takes place at globally dispersed facilities for customers in multiple markets, for example, in the automotive industry. Therefore, ramp-up planning must be carried out for a network. The planning problem at hand is to simultaneously optimise the allocation of products of a common product platform to plants, the timing of ramp-ups and ramp-downs, ramp-up duration and shape of capacity and production and transportation volumes with respect to the net present value of the profit. We develop a hierarchical planning framework and place strategic ramp-up planning therein. We provide a mixed integer programming model for this planning problem. Following the example of a German car manufacturer in the premium segment, we conduct a numerical analysis to obtain insights into optimal ramp-up and ramp-down decisions. The results show that it could be beneficial to use both steep and flat ramp-up curves. The impact of flexibility in the choice of ramp-up slots and the number of ramp-up curves provided on the objective value is substantial. The strategic ramp-up planning model outperforms sequential planning approaches.

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Section: Decisions Of Strategic Ramp-up Planning and Related Literaturementioning

confidence: 98%

Strategic ramp-up planning in automotive production networks

Becker

Stolletz

Stäblein

2016

International Journal of Production Research

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“…Para enfrentar estes problemas, Volling et al (2013) destacam as vantagens da utilização de instrumentos que propiciem flexibilidade aos sistemas de produção. Para os autores, o planejamento da capacidade consiste em um conjunto de decisões em termos de volume e mix, que podem influenciar tanto os investimentos de médio prazo como a flexibilidade operacional.…”

Section: Capacidade De Produção E Seu Planejamentounclassified

Planejamento da capacidade de produção na indústria plástica: uma abordagem baseada em previsão de demanda e níveis de capacidade

Almeida

Romanzini

Werner

2016

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Resumo: Este artigo apresenta um estudo da aplicação de conceitos de capacidade de produção e previsão de demanda, voltado a propor soluções para problemas acerca do planejamento da capacidade. O objetivo do estudo é prever o mix de produtos e o nível de atividade prevista que otimiza a utilização da capacidade disponível. Para isso é proposta uma modelagem matemática, que utiliza o algoritmo GRG não linear disponível através da planilha do Microsoft® Excel. A aplicação do modelo é conduzida utilizando dados de uma das principais empresas brasileiras transformadoras de plástico. Os resultados revelam a habilidade do modelo proposto em fornecer informações que auxiliam a tomada de decisões para o planejamento da capacidade de produção.Palavras chave: Planejamento da capacidade de produção. Previsão de demanda. Nível de atividade. Sistema produtivo.Abstract: This article presents a study of the application of production capacity concepts and forecasting, focused in the proposition of solutions to problems concerning capacity planning. The objective is to predict the mix of products and the expected activity level in order to optimize the capacity use. With this aim, it is proposed a mathematical model that uses the nonlinear GRG algorithm available in Microsoft ® Excel worksheet. The model application is conducted using data of a main Brazilian manufacturing plastic company. The results show the ability of the model to provide information to assist decision making for the production capacity planning.

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“…As a consequence, automotive original equipment manufacturers (OEMs) are confronted with an increasing product variety, shorter and less reliable lead times, as well as competitively priced products (cf. Volling et al 2013). In order to handle these challenges within manufacturing, efficient production and staff planning is a key factor in obtaining and retaining a competitive edge.…”

Section: Introductionmentioning

confidence: 99%

Integrated production and staff planning for heterogeneous, parallel assembly lines: an application in the automotive industry

Hemig

Rieck

Zimmermann

2013

International Journal of Production Research

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We consider an integrated production and staff planning problem that occurs in the automotive industry. In particular, we focus on a production environment with heterogeneous, parallel assembly lines and search for a least cost schedule for producing a forecasted demand taking into account the application of volume flexibility instruments. The problem is modelled as a (nonlinear) mixed-integer programme and solved by using dynamic programming. We present two case studies that are derived from real-world data in order to show the practical usability of our method. Compared to previous approaches presented in the literature, our dynamic programming method can achieve cost improvements of more than 10%.

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Planning of capacities and orders in build-to-order automobile production: A review

Cited by 47 publications

References 63 publications

Strategic ramp-up planning in automotive production networks

Strategic ramp-up planning in automotive production networks

Planejamento da capacidade de produção na indústria plástica: uma abordagem baseada em previsão de demanda e níveis de capacidade

Integrated production and staff planning for heterogeneous, parallel assembly lines: an application in the automotive industry

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