Assignment of Customer-Specific Orders to Plants with Mixed-Model Assembly Lines in Global Production Networks

Buergin, Jens; Blaettchen, Philippe; Qu, Chuanqi; Lanza, Gisela

doi:10.1016/j.procir.2016.04.182

Cited by 10 publications

(10 citation statements)

References 24 publications

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“…Multi-variant products enabling customers to individually specify their products by selecting product options can be produced at competitive prices on mixed-model assembly lines [1,2]. Serving international markets with multi-variant products, companies may operate mixed-model assembly lines on various locations composing a production network [3][4][5]. Thus, production planning first has to assign orders to production locations and periods such as months in the medium-term before they are further assigned to mixedmodel assembly lines and respective cycles in the shortterm, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, production planning first has to assign orders to production locations and periods such as months in the medium-term before they are further assigned to mixedmodel assembly lines and respective cycles in the shortterm, i.e. they are sequenced on the lines [3,5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The short-term assignment to lines and cycles is referred to as local order scheduling or local order assignment as it may take place at the locations of the production network individually [3]. Both the assignment to lines and to cycles of those lines can be conducted simultaneously because the assignment to lines is required for the assignment to cycles and the assignment to lines and to cycles may both be necessary at the same time for further planning of material requirements and workforce [3,5]. Although the simultaneous assignment to lines and sequencing is a complex task, this is of major interest in case workers are flexibly assigned to stations across the lines of a production location and thus are not dedicated to a specific station at a specific line.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry

Buergin

Helming

Andreas

et al. 2018

Prod. Eng. Res. Devel.

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Multi-variant products to be assembled on mixed-model assembly lines at locations within a production network need to be scheduled locally. Scheduling is a highly complex task especially if it simultaneously covers the assignment of orders, which are product variants to be assembled within a production period, to assembly lines as well as their sequencing on the lines. However, this is required if workers can flexibly fulfill tasks across stations of several lines and, thus, capacity of workers is shared among the lines. As this is the case for final assembly of the Airbus A320 Family, this paper introduces an optimization model for local order scheduling for mixed-model assembly lines covering both assignment to lines as well as sequencing. The model integrates the planning approaches mixed-model sequencing and level scheduling in order to minimize work overload in final assembly and to level material demand with regard to suppliers. The presented model is validated in the industrial application of the final assembly of the Airbus A320 Family. The results demonstrate significant improvement in terms of less work overload and a more even material demand compared to current planning.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry

Buergin

Helming

Andreas

et al. 2018

Prod. Eng. Res. Devel.

Self Cite

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“…However, options further defining order configurations, e.g. options related to cabin configuration, might be chosen by the customers after order assignment (Buergin et al 2016). Offering customers the flexibility to choose each option at the latest possible point in time depending on its lead time is a service that has been elaborated for the Airbus A320 Family and is referred to as Just-In-Time Specification (Belkadi et al 2016;Colledani et al 2016;Buergin et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Offering customers the flexibility to choose each option at the latest possible point in time depending on its lead time is a service that has been elaborated for the Airbus A320 Family and is referred to as Just-In-Time Specification (Belkadi et al 2016;Colledani et al 2016;Buergin et al 2018). Therefore, when offering the Just-In-Time Specification service, the uncertainty of order configurations has to be considered when conducting order assignment (Buergin et al 2016(Buergin et al , 2018. Potential option choices crucially affecting the workload accruing in the final assembly should not be neglected when assigning orders (Buergin et al 2016(Buergin et al , 2018.…”

Section: Introductionmentioning

confidence: 99%

Robust assignment of customer orders with uncertain configurations in a production network for aircraft manufacturing

Buergin

Blaettchen

Kronenbitter

et al. 2018

International Journal of Production Research

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Production of multi-variant products in a network requires the assignment of customer orders to locations and periods. This is a highly complex planning task, as requirements of procurement, production, distribution, and sales have to be considered. Providing customers with the flexibility of configuring their ordered products after order assignment further increases the complexity of the planning task by taking uncertainty into account. Therefore, a robust optimisation model, using scenarios representing potential customer-specific order configurations, is introduced. By providing enough flexibility to handle maximum work overload caused by the potential order configurations at locations, a robust assignment of orders can be guaranteed in order to avoid undesirable situations causing delays and additional costs. Therefore, the mid-term adjustments of the flexibility limits are enabled by the changeability of workforce supply by making use of external workers. An industrial application of the model in manufacturing of the Airbus A320 Family of aircrafts is presented. The costs for offering configuration flexibility to customers are quantified by the expected value of perfect information. The explicit consideration of configuration uncertainty through the use of scenarios is discussed based on the value of the stochastic solution in comparison to the results attained by simplistically using the expected value.

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Integrated Production and Logistics Planning and Control in Global Production Networks

Helming¹,

Buergin²,

Bitte

et al. 2018

Advances in Production Research

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Assignment of Customer-Specific Orders to Plants with Mixed-Model Assembly Lines in Global Production Networks

Cited by 10 publications

References 24 publications

Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry

Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry

Robust assignment of customer orders with uncertain configurations in a production network for aircraft manufacturing

Integrated Production and Logistics Planning and Control in Global Production Networks

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