Priority Rule-based Planning Approaches for Regeneration Processes

Hoffmann, Luise Sophie; Kuprat, Thorben; Kellenbrink, Carolin; Schmidt, Matthias; Nyhuis, Peter

doi:10.1016/j.procir.2016.09.028

Cited by 10 publications

(8 citation statements)

References 13 publications

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“…In the comparison the behavior of both process flow models, the asynchronous flow A responds slightly better to high load, in terms of the expected extra charges for delays. The better behavior of the process flow A together with the compound slack rule (CR+SPT) is consistent with the better results found in recent research [ 36 ] where the penalty in MRO operations is explored based on a simple generic process.…”

Section: Analysis and Discussionsupporting

confidence: 88%

“…A recent research contribution seeks an integrated approach combining the study of dispatching rules with parts pooling sourcing for service [ 35 ]. In addition, recent research prospects look for an overall optimization of service-oriented production and business management [ 36 ]. This study uses a simple example of theoretical sequencing to illustrate the integration of cost penalties of tardiness in the operation decisions.…”

Section: Introductionmentioning

confidence: 99%

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Joint Optimization of Process Flow and Scheduling in Service-Oriented Manufacturing Systems

Vargas

Calvo

2018

Materials

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Customer-oriented management of manufacturing systems is crucial in service-oriented production and product service systems. This paper develops the selection of dispatching rules in combination with alternative process flow designs and demand mix, for a maintenance, repair and overhaul center (MRO) of turbo shaft engines, both for complete engines and engine modules. After an initial systematic screening of priority dispatching rules, the design of experiments and discrete-event simulation allows a quantitative analysis of the better rules for the alternative process flows with internal and service metrics. Next, the design of experiments with analysis of variance and the Taguchi approach enables a search for the optimal combination of process flow and dispatching rules. The consideration of extra costs for overdue work orders into the costing breakdown provides a quantitative evaluation of the optimum range of load for the facility. This facilitates the discussion of the significant trade-offs of cost, service, and flexibility in the production system and the operational management alternatives for decision-making.

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Section: Analysis and Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Process Flow and Scheduling in Service-Oriented Manufacturing Systems

Vargas

Calvo

2018

Materials

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“…[12] Concurrently, the data required for planning increases, as does the influence of planning-relevant information that is not or only vaguely available. [13] In addition to industrial production, this in particular applies to sectors in highly dynamic market environments such as the regeneration of complex capital goods in the MRO industry, where reliable and at the same time ambitious delivery times have to be communicated to customers at an early stage despite sometimes still completely unknown order specifications [14]. Other examples are large-scale projects from the construction industry or research and development [15].…”

Section: Theoretical Background: Dynamic-induced Challenges In Production Planningmentioning

confidence: 99%

Model-Based Approach for Assessing Planning Quality in Production Logistics

et al. 2021

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“…In a multi-project situation, it is promising to consider the specific characteristics of the different projects, e.g., concerning the due date or tardiness costs, cf. Hoffmann et al (2017). In our approach, if we decide to consider specific project priorities, which is necessary when we operate with project-specific activity lists single and possible when we use the project-specific random keys , we select the next activity to be scheduled out of the current set of eligible activities in two steps.…”

Section: Representing Project Prioritiesmentioning

confidence: 99%

“…Our idea to jointly consider a portfolio of flexible projects of the type introduced in Kellenbrink and Helber (2015) has originally been presented in Hoffmann et al (2017) and Hoffmann and Kellenbrink (2018). The contribution of this current paper is to present and evaluate the model formulation and novel algorithms to simultaneously schedule entire portfolios of flexible projects.…”

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confidence: 99%

Simultaneous structuring and scheduling of multiple projects with flexible project structures

2020

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We study the problem to simultaneously decide on the structures and the schedules for an entire portfolio of flexible projects. The projects are flexible as alternative technologies and procedures can be used to achieve the respective project task. The choice between different technologies and procedures affects the activities to be implemented and thus the precedence relations, i.e., the structure of the project. The different projects have given due dates with specific delay payments and compete for scarce resources. In this situation, project structure decisions and scheduling decisions are highly intertwined and have to be made simultaneously in order to achieve the assumed objective of minimizing the delay payments for the entire project portfolio. The problem is formally stated and solved via novel and problem-specific genetic algorithms. The performance of the new algorithms is evaluated with respect to speed and accuracy in a systematic and comprehensive numerical study.

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Priority Rule-based Planning Approaches for Regeneration Processes

Cited by 10 publications

References 13 publications

Joint Optimization of Process Flow and Scheduling in Service-Oriented Manufacturing Systems

Joint Optimization of Process Flow and Scheduling in Service-Oriented Manufacturing Systems

Model-Based Approach for Assessing Planning Quality in Production Logistics

Simultaneous structuring and scheduling of multiple projects with flexible project structures

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