A revision of production planning and scheduling methods in pharmaceutical industry

Tomasz Michno; Aleksandra Michno

doi:10.1007/978-3-031-76459-2_5

A revision of production planning and scheduling methods in pharmaceutical industry

Tomasz Michno, Aleksandra Michno

High-Performance Vision Systems

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

Abstract

One of the main objectives of the pharmaceutical industry is to provide products that are safe, of high quality and effective. Additionally to that, most often companies would like to reduce costs. To achieve this, they must implement Good Manufacturing Practices (GMP). Pharmaceutical production planning and scheduling is a very complex task, as not only resources, materials and equipment have to be taken into account, but also regulatory deadlines and legal requirements. In addition, there are many constraints such as limited availability of sub-products, skilled personnel or equipment. This paper presents a review of production planning and scheduling methods in the pharmaceutical industry with its preliminary analysis, which will form the basis for future work in this area.

Originalsprache	Englisch
Titel	Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference
Untertitel	Proceedings of DCAI 2024 (Special Sessions)
Redakteure/-innen	R Mehmood, G Hernandez, I Praca, J Wikarek, R Loukanova, AM DosReis, A Skarmeta, E Lombardi
Herausgeber (Verlag)	Springer
Seiten	49-58
Seitenumfang	10
Band	1198
ISBN (elektronisch)	978-3-031-76459-2
ISBN (Print)	978-3-031-76458-5
DOIs	https://doi.org/10.1007/978-3-031-76459-2_5
Publikationsstatus	Veröffentlicht - März 2025
Veranstaltung	21st International Conference on Distributed Computing and Artificial Intelligence - University of Salamanca, Salamanca, Spanien Dauer: 26 Juni 2024 → 28 Juni 2024 Konferenznummer: 21 https://www.dcai-conference.net/

Publikationsreihe

Name	Lecture Notes In Networks And Systems

Konferenz

Konferenz	21st International Conference on Distributed Computing and Artificial Intelligence
Kurztitel	DCAI 2024
Land/Gebiet	Spanien
Stadt	Salamanca
Zeitraum	26/06/24 → 28/06/24
Internetadresse	https://www.dcai-conference.net/

Research Field

Exploration of Digital Health
Innovation Systems and Digitalisation
Außerhalb der AIT Research Fields

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.1007/978-3-031-76459-2_5

Diese Publikation zitieren

Michno, T., & Michno, A. (2025). A revision of production planning and scheduling methods in pharmaceutical industry. in R. Mehmood, G. Hernandez, I. Praca, J. Wikarek, R. Loukanova, AM. DosReis, A. Skarmeta, & E. Lombardi (Hrsg.), Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions) (Band 1198, S. 49-58). (Lecture Notes In Networks And Systems). Springer. https://doi.org/10.1007/978-3-031-76459-2_5

Michno, Tomasz ; Michno, Aleksandra. / A revision of production planning and scheduling methods in pharmaceutical industry. Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions). Hrsg. / R Mehmood ; G Hernandez ; I Praca ; J Wikarek ; R Loukanova ; AM DosReis ; A Skarmeta ; E Lombardi. Band 1198 Springer, 2025. S. 49-58 (Lecture Notes In Networks And Systems).

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title = "A revision of production planning and scheduling methods in pharmaceutical industry",

abstract = "One of the main objectives of the pharmaceutical industry is to provide products that are safe, of high quality and effective. Additionally to that, most often companies would like to reduce costs. To achieve this, they must implement Good Manufacturing Practices (GMP). Pharmaceutical production planning and scheduling is a very complex task, as not only resources, materials and equipment have to be taken into account, but also regulatory deadlines and legal requirements. In addition, there are many constraints such as limited availability of sub-products, skilled personnel or equipment. This paper presents a review of production planning and scheduling methods in the pharmaceutical industry with its preliminary analysis, which will form the basis for future work in this area.",

keywords = "pharmaceutical industry, production planning, scheduling strategies",

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booktitle = "Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference",

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Michno, T & Michno, A 2025, A revision of production planning and scheduling methods in pharmaceutical industry. in R Mehmood, G Hernandez, I Praca, J Wikarek, R Loukanova, AM DosReis, A Skarmeta & E Lombardi (Hrsg.), Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions). Bd. 1198, Lecture Notes In Networks And Systems, Springer, S. 49-58, 21st International Conference on Distributed Computing and Artificial Intelligence, Salamanca, Spanien, 26/06/24. https://doi.org/10.1007/978-3-031-76459-2_5

A revision of production planning and scheduling methods in pharmaceutical industry. / Michno, Tomasz; Michno, Aleksandra.
Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions). Hrsg. / R Mehmood; G Hernandez; I Praca; J Wikarek; R Loukanova; AM DosReis; A Skarmeta; E Lombardi. Band 1198 Springer, 2025. S. 49-58 (Lecture Notes In Networks And Systems).

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

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T1 - A revision of production planning and scheduling methods in pharmaceutical industry

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AU - Michno, Aleksandra

N1 - Conference code: 21

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Y1 - 2025/3

N2 - One of the main objectives of the pharmaceutical industry is to provide products that are safe, of high quality and effective. Additionally to that, most often companies would like to reduce costs. To achieve this, they must implement Good Manufacturing Practices (GMP). Pharmaceutical production planning and scheduling is a very complex task, as not only resources, materials and equipment have to be taken into account, but also regulatory deadlines and legal requirements. In addition, there are many constraints such as limited availability of sub-products, skilled personnel or equipment. This paper presents a review of production planning and scheduling methods in the pharmaceutical industry with its preliminary analysis, which will form the basis for future work in this area.

AB - One of the main objectives of the pharmaceutical industry is to provide products that are safe, of high quality and effective. Additionally to that, most often companies would like to reduce costs. To achieve this, they must implement Good Manufacturing Practices (GMP). Pharmaceutical production planning and scheduling is a very complex task, as not only resources, materials and equipment have to be taken into account, but also regulatory deadlines and legal requirements. In addition, there are many constraints such as limited availability of sub-products, skilled personnel or equipment. This paper presents a review of production planning and scheduling methods in the pharmaceutical industry with its preliminary analysis, which will form the basis for future work in this area.

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KW - production planning

KW - scheduling strategies

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DO - 10.1007/978-3-031-76459-2_5

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BT - Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference

A2 - Mehmood, R

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A2 - Praca, I

A2 - Wikarek, J

A2 - Loukanova, R

A2 - DosReis, AM

A2 - Skarmeta, A

A2 - Lombardi, E

PB - Springer

T2 - 21st International Conference on Distributed Computing and Artificial Intelligence

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ER -

Michno T, Michno A. A revision of production planning and scheduling methods in pharmaceutical industry. in Mehmood R, Hernandez G, Praca I, Wikarek J, Loukanova R, DosReis AM, Skarmeta A, Lombardi E, Hrsg., Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions). Band 1198. Springer. 2025. S. 49-58. (Lecture Notes In Networks And Systems). doi: 10.1007/978-3-031-76459-2_5

A revision of production planning and scheduling methods in pharmaceutical industry

Abstract

Publikationsreihe

Konferenz

Research Field

UN SDGs

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