Modeling and simulation of order-driven planning policies in build-to-order automobile production

Völling, Thomas; Spengler, Thomas S.

doi:10.1016/j.ijpe.2011.01.008

Cited by 66 publications

(29 citation statements)

References 24 publications

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“…A framework and models to improve order-driven planning in automotive production are presented by Volling and Spengler [13]. The presented framework involves separate, interlinked mathematical models for order promising and master production scheduling.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Cost Impact of Multiple Transportation Modes to Enhance Sustainability in an Integrated, Two Stage, Automotive Supply Chain

Masoud

Mason

2017

Informatics

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Abstract:As the automotive industry has been striving to enhance its efficiency, competitiveness, and sustainability, great focus is often placed on opportunities for improving its supply chain operations. We study the effect of introducing multiple modes of transportation in an industry-motivated production and transportation problem involving short-term automotive supply chain planning. We consider multiple, heterogeneous modes of transportation that offer a cost vs. delivery time option to the manufacturer. Having multiple modes of transportation in the system promotes supply chain sustainability. We present an integer linear programming model that captures the availability of multiple transportation modes. We then provide a solution approach based on a hybrid simulated annealing algorithm that we use to analyze the problem. Experimental results demonstrate the impact of additional transportation mode lead times compared to costs in the integrated supply chain.

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Section: Literature Reviewmentioning

confidence: 99%

Assessing the Cost Impact of Multiple Transportation Modes to Enhance Sustainability in an Integrated, Two Stage, Automotive Supply Chain

Masoud

Mason

2017

Informatics

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“…Fisher (2001) has presented a thorough overview of the studies which had investigated ATP concept. Some have tried to extend its concept and presented new models (Jeong et al, 2002;Xiong et al, 2003;Volling & Spengler, 2011;Cheng & Cheng, 2011). many studies have considered ATP concept with various assumptions to make it applicable in different production environments (Zhao & O.Ball, 2005;Tsai & Wang, 2008;Lin et al, 2010;Chen-Ritzo et al, 2011;Alemany et al, 2013).…”

Section: Concepts and Literature Reviewmentioning

confidence: 99%

“…There is a large portion of industries that work with MTF production system and ATP mechanism can help them improve their production planning. On the other hand, all studies in the literature consider batch mode Advanced ATP (Zhao & O.Ball, 2005;Lin et al, 2010;Cheng & Cheng, 2011) or real-time mode (Volling & Spengler, 2011). Moreover, as the last found gap in ATP literature, most of the reviewed studies have not considered backlog costs.…”

Section: Concepts and Literature Reviewmentioning

confidence: 99%

Designing an advanced available-to-promise mechanism compatible with the make-to-forecast production systems through integrating inventory allocation and job shop scheduling with due dates and weighted earliness/tardiness cost

Rabbani¹,

Monshi²,

Manavizadeh³

et al. 2016

10.5267/j.ijiec

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In the competitive business world, applying a reliable and powerful mechanism to support decision makers in manufacturing companies and helping them save time by considering varieties of effective factors is an inevitable issue. Advanced Available-to-Promise is a perfect tool to design and perform such a mechanism. In this study, this mechanism which is compatible with the Make-to-Forecast production systems is presented. The ability to distinguish between batch mode and real-time mode advanced available-to-promise is one of the unique superiorities of the proposed model. We also try to strengthen this mechanism by integrating the inventory allocation and job shop scheduling by considering due dates and weighted earliness/tardiness cost that leads to more precise decisions. A mixed integer programming (MIP) model and a heuristic algorithm according to its disability to solve large size problems are presented. The designed experiments and the obtained results have proved the efficiency of the proposed heuristic method.

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“…This work assumes that all orders must be processed and presents models that minimize make-span or lateness in a single machine environment. Volling and Spengler (2011) develop a model for simultaneous due date quoting and master production scheduling in make-to-order (MTO) automobile production. However, in this model, all orders must be accepted.…”

Section: Production Planning In Ato Manufacturingmentioning

confidence: 99%

Revenue Management in an Assemble-to-Order Production System

2014

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Modeling and simulation of order-driven planning policies in build-to-order automobile production

Cited by 66 publications

References 24 publications

Assessing the Cost Impact of Multiple Transportation Modes to Enhance Sustainability in an Integrated, Two Stage, Automotive Supply Chain

Assessing the Cost Impact of Multiple Transportation Modes to Enhance Sustainability in an Integrated, Two Stage, Automotive Supply Chain

Designing an advanced available-to-promise mechanism compatible with the make-to-forecast production systems through integrating inventory allocation and job shop scheduling with due dates and weighted earliness/tardiness cost

Revenue Management in an Assemble-to-Order Production System

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