Material Flow Optimization with The Application of Generalized Network Flow Model

Pusztai, László Péter; Kocsi, Balázs; Budai, István; Nagy, Lajos

doi:10.33894/mtk-2018.09.46

Cited by 3 publications

(3 citation statements)

References 2 publications

(3 reference statements)

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“…As far as production scheduling is concerned, there are numerous existing models: when it is a project under process, critical path method and process network methods can be used [7], [8], or Wagner-method is suitable for multi-period production planning [5]. Other cases, for example the material flow optimization, a generalized network flow model can be applied [9], and the list could be expanded.…”

Section: Operations Research Models For Schedulingmentioning

confidence: 99%

Investigation of a production process under uncertainty

et al. 2020

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Abstract:A key role of production managers at manufacturing companies is to make economy-based decisions related to production scheduling. If the production is subject to uncertain factors, like human resource or lack of standardization, production planning becomes difficult and calls for advanced models that are tailored to the manufacturing process. This research investigates a real furniture manufacturing system from both managerial and materialflow points of view. Statistical simulation was run on the manufacturing process, where the possible production structures were given. ANOVA analysis was calculated in order to identify those activities that have the most significant influence on the profit.

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Section: Operations Research Models For Schedulingmentioning

confidence: 99%

Investigation of a production process under uncertainty

et al. 2020

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“…New approach for resource allocation in digital healthcare 4.0 2019, Editorial Universitat Politècnica de València (1992). The purpose of these kind of models is to either ascertain a material flow, or determine a probable total process time (TPT) or total process cost (TPC) based on Pusztai et al (2018). These models usually determine the direction of the objective, which are usually related to cost.…”

Section: Murtymentioning

confidence: 99%

Proceedings 5th CARPE Conference: Horizon Europe and beyond

Messana¹,

Benlloch²,

Poza³

et al. 2019

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The scientific contributions develop proposals for collaborative projects, as well as resumes of the research interests for CARPE group. The purpose of the presentations was to align existing research possibilities within the network in order to develop proposals for EU projects on the different calls and available programs. All contributions were structured according to the main pillars common to all partners:Health.The motto of the conference was EU Education, sustainability, innovation, societal challenges and entrepreneurship, digital transformation for health care and well-being, and the main focus was to develop the EU mandate on applied research for the future of Europe.The CARPE network has been developing for more than ten years the now acclaimed EU policy on getting Research results to the society from the organizing Committee we expect that our network and collective research efforts by the partners will bring this objective into a reality.

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“…Generalized network models are applicable in several fields of use, such as manufacturing or healthcare, where parallel or sequential activities can be carried out Chachra (1979), Murty (1992). The purpose of these kind of models is to either ascertain a material flow, or determine a probable total process time (TPT) or total process cost (TPC) based on Pusztai et al (2018). These models usually determine the direction of the objective, which are usually related to cost.…”

Section: Generalized Network Modelsmentioning

confidence: 99%

New approach for resource allocation in digital healthcare 4.0

Kocsi

Pusztai²,

Budai

2019

Proceedings 5th CARPE Conference: Horizon Europe and Beyond

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The examination and automation opportunities in healthcare processes, which aims at reducing patient journey and their waiting time, while increasing the utilization of medical equipment as well as monitoring patients. Waiting times are playing a significant role in the total process time of patient care. One of the main reasons is the insufficient resource allocation. This research presents a methodological improvement which supports decision making in digital health processes. The current research provides a methodology that makes weekly human resource scheduling more efficient than before. With the combination of process mining and operations research, we developed a weighted forecast for the probable number of patients. During the research we processed historical data as well as we identified the bottlenecks in the examined health process. Furthermore, we took the causality into account. In today’s fast-paced societies, IT-based solutions are more and more frequently used in healthcare, with the aim of reducing risks and increase patient satisfaction. The method created by us offers a fast, precise and efficient solution to decision making in digital health processes.

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Material Flow Optimization with The Application of Generalized Network Flow Model

Cited by 3 publications

References 2 publications

Investigation of a production process under uncertainty

Investigation of a production process under uncertainty

Proceedings 5th CARPE Conference: Horizon Europe and beyond

New approach for resource allocation in digital healthcare 4.0

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