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

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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.

Original language	English
Title of host publication	Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference
Subtitle of host publication	Proceedings of DCAI 2024 (Special Sessions)
Editors	R Mehmood, G Hernandez, I Praca, J Wikarek, R Loukanova, AM DosReis, A Skarmeta, E Lombardi
Publisher	Springer
Pages	49-58
Number of pages	10
Volume	1198
ISBN (Electronic)	978-3-031-76459-2
ISBN (Print)	978-3-031-76458-5
DOIs	https://doi.org/10.1007/978-3-031-76459-2_5
Publication status	Published - Mar 2025
Event	21st International Conference on Distributed Computing and Artificial Intelligence - University of Salamanca, Salamanca, Spain Duration: 26 Jun 2024 → 28 Jun 2024 Conference number: 21 https://www.dcai-conference.net/

Publication series

Name	Lecture Notes In Networks And Systems

Conference

Conference	21st International Conference on Distributed Computing and Artificial Intelligence
Abbreviated title	DCAI 2024
Country/Territory	Spain
City	Salamanca
Period	26/06/24 → 28/06/24
Internet address	https://www.dcai-conference.net/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Field

Exploration of Digital Health
Innovation Systems and Digitalisation
Outside the AIT Research Fields

Keywords

pharmaceutical industry
production planning
scheduling strategies

Access to Document

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

Cite this

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 (Eds.), Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions) (Vol. 1198, pp. 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). editor / R Mehmood ; G Hernandez ; I Praca ; J Wikarek ; R Loukanova ; AM DosReis ; A Skarmeta ; E Lombardi. Vol. 1198 Springer, 2025. pp. 49-58 (Lecture Notes In Networks And Systems).

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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.",

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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 (eds), Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions). vol. 1198, Lecture Notes In Networks And Systems, Springer, pp. 49-58, 21st International Conference on Distributed Computing and Artificial Intelligence, Salamanca, Spain, 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). ed. / R Mehmood; G Hernandez; I Praca; J Wikarek; R Loukanova; AM DosReis; A Skarmeta; E Lombardi. Vol. 1198 Springer, 2025. p. 49-58 (Lecture Notes In Networks And Systems).

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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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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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, editors, Distributed Computing And Artificial Intelligence, Special Sessions I, 21st International Conference: Proceedings of DCAI 2024 (Special Sessions). Vol. 1198. Springer. 2025. p. 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

Publication series

Conference

UN SDGs

Research Field

Keywords

Access to Document

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