---
_id: '13337'
abstract:
- lang: eng
text: In manufacturing systems with a job shop organization, queues between workstations
create an intermittent process flow, allowing workers to schedule tasks entering
the queue based on their needs and preferences. The resulting scheduling autonomy
of individual workers often leads to inefficiencies in the overall production
process due to the loss of control. Companies are therefore increasingly using
algorithmic scheduling systems to assign task sequences to workers, thereby drastically
reducing their autonomy and negatively affecting their job performance and well-being.
This paper extends the existing flexible job shop scheduling problem by sequencing
preferences (FJSPSP) to incorporate a human-centered perspective by predicting
workers’ task sequencing decisions using learning-to-rank (LTR) methods. By learning
workers’ individual task sequencing preferences, it becomes possible to predict
the processing sequence based on task characteristics. The scheduling algorithm
for the FJSPSP presented in the paper incorporates workers’ learned sequencing
preferences as constraints. Considering workers’ learned task sequencing decisions,
the FJSPSP optimizes only task assignments to maintain workers’ autonomy over
task sequences. The contributions of this paper are fourfold, namely, (1) presenting
an approach to elicit sequencing decision datasets from workers, (2) demonstrating
the successful prediction of humans’ and an actual worker’s task sequencing decisions
with LTR, (3) formulating the FJSPSP variant that integrates workers’ sequencing
preferences as constraints and proving its effectiveness in a simulation study,
and (4) consolidating these steps into an explainable artificial intelligence
(XAI)- and LTR-enabled sociotechnical system design framework. The paper closes
with a discussion of the overall methodology and future research perspectives.
article_type: original
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Tharsika Pakeerathan
full_name: Srirajan, Tharsika Pakeerathan
last_name: Srirajan
- first_name: Verena
full_name: Nitsch, Verena
last_name: Nitsch
citation:
ama: 'Herrmann JP, Tackenberg S, Srirajan TP, Nitsch V. Incorporating scheduling
autonomy of workers into flexible job shop scheduling: Learning and balancing
decentralized task sequencing decisions with overall scheduling performance. Journal
of Manufacturing Systems. 2026;84(2):541-560. doi:10.1016/j.jmsy.2025.12.020'
apa: 'Herrmann, J.-P., Tackenberg, S., Srirajan, T. P., & Nitsch, V. (2026).
Incorporating scheduling autonomy of workers into flexible job shop scheduling:
Learning and balancing decentralized task sequencing decisions with overall scheduling
performance. Journal of Manufacturing Systems, 84(2), 541–560. https://doi.org/10.1016/j.jmsy.2025.12.020'
bjps: 'Herrmann J-P et al. (2026) Incorporating Scheduling Autonomy
of Workers into Flexible Job Shop Scheduling: Learning and Balancing Decentralized
Task Sequencing Decisions with Overall Scheduling Performance. Journal of Manufacturing
Systems 84, 541–560.'
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, Tharsika Pakeerathan Srirajan,
and Verena Nitsch. “Incorporating Scheduling Autonomy of Workers into Flexible
Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing Decisions
with Overall Scheduling Performance.” Journal of Manufacturing Systems
84, no. 2 (2026): 541–60. https://doi.org/10.1016/j.jmsy.2025.12.020.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg, Tharsika Pakeerathan Srirajan
und Verena Nitsch. 2026. Incorporating scheduling autonomy of workers into flexible
job shop scheduling: Learning and balancing decentralized task sequencing decisions
with overall scheduling performance. Journal of Manufacturing Systems 84,
Nr. 2: 541–560. doi:10.1016/j.jmsy.2025.12.020,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Srirajan,
Tharsika Pakeerathan ; Nitsch, Verena:
Incorporating scheduling autonomy of workers into flexible job shop scheduling:
Learning and balancing decentralized task sequencing decisions with overall scheduling
performance. In: Journal of Manufacturing Systems Bd. 84. Amsterdam, Elsevier
BV (2026), Nr. 2, S. 541–560'
havard: 'J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Incorporating
scheduling autonomy of workers into flexible job shop scheduling: Learning and
balancing decentralized task sequencing decisions with overall scheduling performance,
Journal of Manufacturing Systems. 84 (2026) 541–560.'
ieee: 'J.-P. Herrmann, S. Tackenberg, T. P. Srirajan, and V. Nitsch, “Incorporating
scheduling autonomy of workers into flexible job shop scheduling: Learning and
balancing decentralized task sequencing decisions with overall scheduling performance,”
Journal of Manufacturing Systems, vol. 84, no. 2, pp. 541–560, 2026, doi:
10.1016/j.jmsy.2025.12.020.'
mla: 'Herrmann, Jan-Phillip, et al. “Incorporating Scheduling Autonomy of Workers
into Flexible Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing
Decisions with Overall Scheduling Performance.” Journal of Manufacturing Systems,
vol. 84, no. 2, 2026, pp. 541–60, https://doi.org/10.1016/j.jmsy.2025.12.020.'
short: J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Journal of Manufacturing
Systems 84 (2026) 541–560.
ufg: 'Herrmann, Jan-Phillip u. a.: Incorporating scheduling autonomy of workers
into flexible job shop scheduling: Learning and balancing decentralized task sequencing
decisions with overall scheduling performance, in: Journal of Manufacturing
Systems 84 (2026), H. 2, S. 541–560.'
van: 'Herrmann JP, Tackenberg S, Srirajan TP, Nitsch V. Incorporating scheduling
autonomy of workers into flexible job shop scheduling: Learning and balancing
decentralized task sequencing decisions with overall scheduling performance. Journal
of Manufacturing Systems. 2026;84(2):541–60.'
date_created: 2026-01-12T08:29:09Z
date_updated: 2026-01-12T08:54:27Z
department:
- _id: DEP7027
doi: 10.1016/j.jmsy.2025.12.020
intvolume: ' 84'
issue: '2'
keyword:
- Human-centered scheduling
- Job autonomy
- Learning-to-rank
- Flexible job shop scheduling
- Human decision-making
- Explainable artificial intelligence
language:
- iso: eng
page: 541-560
place: Amsterdam
publication: Journal of Manufacturing Systems
publication_identifier:
issn:
- 0278-6125
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'Incorporating scheduling autonomy of workers into flexible job shop scheduling:
Learning and balancing decentralized task sequencing decisions with overall scheduling
performance'
type: scientific_journal_article
user_id: '83781'
volume: 84
year: '2026'
...
---
_id: '13349'
abstract:
- lang: eng
text: In weakly-structured work processes, workers are free to decide in which sequence
to process their tasks. Predicting their decision-making helps plan production
more accurately while preserving workers’ autonomy. The factors that influence
workers’ decision-making depend on the manufacturing process and person considered,
and they must be newly collected for each use case. This paper identifies the
factors influencing workers when deciding in which sequence to process manufacturing
tasks in a medium-sized hydraulic cylinder manufacturer. Five workers and two
lead workers were observed and interviewed during several work shifts about influencing
factors. The authors propose a new interview technique called indifference testing
to overcome subjects’ difficulty articulating their decision-making process. Collected
factors were categorized using inductive category formation and context analysis.
The analyses identified 75 influencing factors comprising 37 decision attributes
and 38 decision rules. The identified decision attributes indicate that worker
preferences are influenced by attributes from the classical scheduling literature
and attributes related to worker well-being, circadian rhythms, and ergonomics.
The identified decision rules are useful constituents of more complex preference
functions. The decision attributes and rules enable the construction of machine
learning models to predict workers’ task sequencing decisions in job shops. Potential
applications include systematically eliminating or controlling influencing factors
through workplace design measures to increase worker well-being and optimality
of their decisions.
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
- first_name: Florens
full_name: Burgert, Florens
last_name: Burgert
- first_name: Verena
full_name: Nitsch, Verena
last_name: Nitsch
citation:
ama: Herrmann JP, Tackenberg S, Burgert F, Nitsch V. Influencing factors on worker
task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. Procedia
Computer Science. 2025;253:1820-1829. doi:10.1016/j.procs.2025.01.244
apa: Herrmann, J.-P., Tackenberg, S., Burgert, F., & Nitsch, V. (2025). Influencing
factors on worker task sequencing decisions in a medium-sized hydraulic cylinder
manufacturer. Procedia Computer Science, 253, 1820–1829. https://doi.org/10.1016/j.procs.2025.01.244
bjps: Herrmann J-P et al. (2025) Influencing Factors on Worker Task
Sequencing Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer. Procedia
Computer Science 253, 1820–1829.
chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, Florens Burgert, and Verena Nitsch.
“Influencing Factors on Worker Task Sequencing Decisions in a Medium-Sized Hydraulic
Cylinder Manufacturer.” Procedia Computer Science 253 (2025): 1820–29.
https://doi.org/10.1016/j.procs.2025.01.244.'
chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg, Florens Burgert und Verena
Nitsch. 2025. Influencing factors on worker task sequencing decisions in a medium-sized
hydraulic cylinder manufacturer. Procedia Computer Science 253: 1820–1829.
doi:10.1016/j.procs.2025.01.244,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Tackenberg, Sven ; Burgert,
Florens ; Nitsch, Verena:
Influencing factors on worker task sequencing decisions in a medium-sized hydraulic
cylinder manufacturer. In: Procedia Computer Science Bd. 253. Amsterdam,
Elsevier BV (2025), S. 1820–1829'
havard: J.-P. Herrmann, S. Tackenberg, F. Burgert, V. Nitsch, Influencing factors
on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer,
Procedia Computer Science. 253 (2025) 1820–1829.
ieee: 'J.-P. Herrmann, S. Tackenberg, F. Burgert, and V. Nitsch, “Influencing factors
on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer,”
Procedia Computer Science, vol. 253, pp. 1820–1829, 2025, doi: 10.1016/j.procs.2025.01.244.'
mla: Herrmann, Jan-Phillip, et al. “Influencing Factors on Worker Task Sequencing
Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer.” Procedia Computer
Science, vol. 253, 2025, pp. 1820–29, https://doi.org/10.1016/j.procs.2025.01.244.
short: J.-P. Herrmann, S. Tackenberg, F. Burgert, V. Nitsch, Procedia Computer Science
253 (2025) 1820–1829.
ufg: 'Herrmann, Jan-Phillip u. a.: Influencing factors on worker task sequencing
decisions in a medium-sized hydraulic cylinder manufacturer, in: Procedia Computer
Science 253 (2025), S. 1820–1829.'
van: Herrmann JP, Tackenberg S, Burgert F, Nitsch V. Influencing factors on worker
task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. Procedia
Computer Science. 2025;253:1820–9.
date_created: 2026-01-29T10:15:17Z
date_updated: 2026-02-10T10:54:05Z
department:
- _id: DEP7020
doi: 10.1016/j.procs.2025.01.244
intvolume: ' 253'
keyword:
- Task Sequencing
- Manufacturing
- Learning To Rank
- Scheduling Human Factors
- Case Study
language:
- iso: eng
page: 1820-1829
place: Amsterdam
publication: Procedia Computer Science
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Influencing factors on worker task sequencing decisions in a medium-sized hydraulic
cylinder manufacturer
type: scientific_journal_article
user_id: '83781'
volume: 253
year: '2025'
...
---
_id: '11666'
abstract:
- lang: ger
text: "Den Knoten entwirren\r\nAlles hängt mit allem zusammen. Was sich anhört wie
eine Binsenweisheit, ist in der Industrie tägliche Praxis geworden. Komplexität
und „Verschränktheit“ der Prozesse in Entwicklung und Produktion wachsen vielen
Unternehmen über den Kopf. Der Durchblick geht verloren, die Kosten laufen davon.\r\n\r\nDas
muss nicht so sein. Wie man der grassierenden Komplexität mit Methode zu Leibe
rückt, zeigt dieses elektronische Buch. Denn darum geht es in der Praxis: Trotz
vermeintlich intelligenter Systeme im Unternehmen den Überblick behalten und die
Komplexität beherrschen. \r\n\r\nMittel zum Zweck ist ein Assistenzsystem, das
im Rahmen eines Forschungsprojektes entwickelt wurde und jetzt für den Einsatz
bereitsteht. Damit das System nicht übergestülpt, sondern schrittweise erlernt
und wirklich gelebt werden kann, wird ein flankierendes Konzept zur Befähigung
präsentiert.\r\n\r\nDas Team um Herausgeber Andreas Deuter, seines Zeichens Professor
an der Technischen Hochschule Ostwestfalen-Lippe (TH OWL), hat ein kompaktes und
verständliches Buch verfasst. Ein echtes LOGiBit eben."
alternative_title:
- Strukturelle Produkt- und Prozesskomplexität beherrschen
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Sebastian
full_name: Imort, Sebastian
id: '74291'
last_name: Imort
- first_name: Christoph
full_name: Trojanowski, Christoph
last_name: Trojanowski
- first_name: Carolin
full_name: Pankrath, Carolin
last_name: Pankrath
citation:
ama: Herrmann JP, Imort S, Trojanowski C, Pankrath C. Den Überblick behalten
. 1st ed. (Deuter A, ed.). LOG_X Verlag; 2024.
apa: Herrmann, J.-P., Imort, S., Trojanowski, C., & Pankrath, C. (2024). Den
Überblick behalten (A. Deuter, Ed.; 1st ed.). LOG_X Verlag.
bjps: 'Herrmann J-P et al. (2024) Den Überblick behalten ,
1st ed., Deuter A (ed.). Ludwigsburg: LOG_X Verlag.'
chicago: 'Herrmann, Jan-Phillip, Sebastian Imort, Christoph Trojanowski, and Carolin
Pankrath. Den Überblick behalten . Edited by Andreas Deuter. 1st ed. Ludwigsburg:
LOG_X Verlag, 2024.'
chicago-de: 'Herrmann, Jan-Phillip, Sebastian Imort, Christoph Trojanowski und Carolin
Pankrath. 2024. Den Überblick behalten . Hg. von Andreas Deuter. 1. Aufl.
Ludwigsburg: LOG_X Verlag.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Imort, Sebastian ; Trojanowski,
Christoph ; Pankrath, Carolin
; Deuter, A. (Hrsg.): Den Überblick
behalten . 1. Aufl. Ludwigsburg : LOG_X Verlag, 2024'
havard: J.-P. Herrmann, S. Imort, C. Trojanowski, C. Pankrath, Den Überblick behalten
, 1st ed., LOG_X Verlag, Ludwigsburg, 2024.
ieee: 'J.-P. Herrmann, S. Imort, C. Trojanowski, and C. Pankrath, Den Überblick
behalten , 1st ed. Ludwigsburg: LOG_X Verlag, 2024.'
mla: Herrmann, Jan-Phillip, et al. Den Überblick behalten . Edited by Andreas
Deuter, 1st ed., LOG_X Verlag, 2024.
short: J.-P. Herrmann, S. Imort, C. Trojanowski, C. Pankrath, Den Überblick behalten
, 1st ed., LOG_X Verlag, Ludwigsburg, 2024.
ufg: 'Herrmann, Jan-Phillip u. a.: Den Überblick behalten , hg. von Deuter,
Andreas, Ludwigsburg 12024.'
van: 'Herrmann JP, Imort S, Trojanowski C, Pankrath C. Den Überblick behalten .
1st ed. Deuter A, editor. Ludwigsburg: LOG_X Verlag; 2024.'
date_created: 2024-07-08T10:10:08Z
date_updated: 2024-07-30T12:39:29Z
ddc:
- '006'
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
edition: '1'
editor:
- first_name: Andreas
full_name: Deuter, Andreas
id: '62088'
last_name: Deuter
orcid: 0000-0002-6529-6215
file:
- access_level: local
content_type: application/pdf
creator: adm-hemke
date_created: 2024-07-18T14:35:21Z
date_updated: 2024-07-18T14:35:21Z
file_id: '11749'
file_name: 9783910483132_ePDF.pdf
file_size: 2788363
relation: main_file
file_date_updated: 2024-07-18T14:35:21Z
has_accepted_license: '1'
language:
- iso: ger
place: Ludwigsburg
publication_status: published
publisher: LOG_X Verlag
related_material:
link:
- relation: other
url: https://www.log-x.de/index.php/verlagsprogramm/238-den-ueberblick-behalten
status: public
title: 'Den Überblick behalten '
type: book
user_id: '83781'
year: '2024'
...
---
_id: '12797'
abstract:
- lang: eng
text: 'Sheltered workshops face the challenge of meeting their manufacturing objectives
while considering the individual competenciesand assistance needs of persons with
disabilities. Moreover, work processes in sheltered workshops are weakly structured,
allowing for frequent task interruptions and changes based on the preferences
of impaired work persons. While the Industry 4.0 literature provides many real-time
scheduling algorithms for incorporating multiple objectives and constraints, these
algorithms fall short of the characteristics of sheltered workshops. The resource-constrained
project scheduling problem (RCPSP) is an optimization problem for computing manufacturing
plans considering multiple objectives and resource constraints. Among many different
RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant
considers the individual skills of work persons when generating manufacturing
plans. With the ongoing digital transformation of enterprises, new assistance
systems enter the market, providing individual support to impaired work persons
and compensating for lacking skills and abilities. This paper proposes an MSRCPSP
variant that incorporates assistance systems and learning tasks compensating for
competence gaps in the skill matrix of impaired work persons. Furthermore, it
decomposes tasks into individual work objects, which accounts for frequent task
interruptions and task preferences of work persons. The algorithm is described
and demonstrated using a manufacturing data set from an actual sheltered workshop.
In a small evaluation study, the algorithm is tested by scheduling two impaired
work persons in the assembly department of a medium-sized manufacturing company
in the primary labor market. The evaluation study proves its real-world applicability
and the suitability of scheduling algorithms for participation and inclusive work. '
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Viktoria
full_name: Mordaschew, Viktoria
id: '79005'
last_name: Mordaschew
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
citation:
ama: Herrmann JP, Mordaschew V, Tackenberg S. A Multi-Skill RCPSP Variant for
Persons with Disabilities in Sheltered Workshops. Vol 232. (Longo F, Shen
W, Padovano A, eds.). Elsevier BV; 2024:1329-1338. doi:10.1016/j.procs.2024.01.131
apa: Herrmann, J.-P., Mordaschew, V., & Tackenberg, S. (2024). A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops. In F. Longo,
W. Shen, & A. Padovano (Eds.), 5th International Conference on Industry
4.0 and Smart Manufacturing (ISM) (Vol. 232, pp. 1329–1338). Elsevier BV.
https://doi.org/10.1016/j.procs.2024.01.131
bjps: 'Herrmann J-P, Mordaschew V and Tackenberg S (2024) A Multi-Skill
RCPSP Variant for Persons with Disabilities in Sheltered Workshops, Longo
F, Shen W and Padovano A (eds). Amsterdam [u.a.]: Elsevier BV.'
chicago: 'Herrmann, Jan-Phillip, Viktoria Mordaschew, and Sven Tackenberg. A
Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops.
Edited by F. Longo, W. Shen, and A. Padovano. 5th International Conference
on Industry 4.0 and Smart Manufacturing (ISM). Vol. 232. Procedia Computer
Science. Amsterdam [u.a.]: Elsevier BV, 2024. https://doi.org/10.1016/j.procs.2024.01.131.'
chicago-de: 'Herrmann, Jan-Phillip, Viktoria Mordaschew und Sven Tackenberg. 2024.
A multi-skill RCPSP variant for persons with disabilities in sheltered workshops.
Hg. von F. Longo, W. Shen, und A. Padovano. 5th International Conference on
Industry 4.0 and Smart Manufacturing (ISM). Bd. 232. Procedia Computer Science.
Amsterdam [u.a.]: Elsevier BV. doi:10.1016/j.procs.2024.01.131,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Mordaschew, Viktoria ; Tackenberg,
Sven ; Longo, F. ; Shen, W. ; Padovano,
A. (Hrsg.): A multi-skill RCPSP variant for persons with disabilities
in sheltered workshops, Procedia Computer Science. Bd. 232. Amsterdam
[u.a.] : Elsevier BV, 2024'
havard: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A multi-skill RCPSP variant
for persons with disabilities in sheltered workshops, Elsevier BV, Amsterdam [u.a.],
2024.
ieee: 'J.-P. Herrmann, V. Mordaschew, and S. Tackenberg, A multi-skill RCPSP
variant for persons with disabilities in sheltered workshops, vol. 232. Amsterdam
[u.a.]: Elsevier BV, 2024, pp. 1329–1338. doi: 10.1016/j.procs.2024.01.131.'
mla: Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with
Disabilities in Sheltered Workshops.” 5th International Conference on Industry
4.0 and Smart Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier
BV, 2024, pp. 1329–38, https://doi.org/10.1016/j.procs.2024.01.131.
short: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A Multi-Skill RCPSP Variant
for Persons with Disabilities in Sheltered Workshops, Elsevier BV, Amsterdam [u.a.],
2024.
ufg: 'Herrmann, Jan-Phillip/Mordaschew, Viktoria/Tackenberg, Sven: A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops, Bd. 232, hg.
von Longo, F./Shen, W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer
Science).'
van: 'Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons
with disabilities in sheltered workshops. Longo F, Shen W, Padovano A, editors.
5th International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam
[u.a.]: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).'
conference:
end_date: 2023-11-24
location: Lisbon, PORTUGAL
name: 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)
start_date: 2023-11-22
date_created: 2025-04-15T12:33:51Z
date_updated: 2025-06-25T12:45:54Z
doi: 10.1016/j.procs.2024.01.131
editor:
- first_name: F.
full_name: Longo, F.
last_name: Longo
- first_name: W.
full_name: Shen, W.
last_name: Shen
- first_name: A.
full_name: Padovano, A.
last_name: Padovano
intvolume: ' 232'
keyword:
- Scheduling
- Sheltered Workshops
- Assistance System
- Persons with Disabilities
language:
- iso: eng
page: 1329-1338
place: Amsterdam [u.a.]
publication: 5th International Conference on Industry 4.0 and Smart Manufacturing
(ISM)
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
series_title: Procedia Computer Science
status: public
title: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops
type: conference_editor_article
user_id: '83781'
volume: 232
year: '2024'
...
---
_id: '13351'
abstract:
- lang: eng
text: "Sheltered workshops face the challenge of meeting their manufacturing objectives
while considering the individual competencies and assistance needs of persons
with disabilities. Moreover, work processes in sheltered workshops are weakly
structured, allowing for frequent task interruptions and changes based on the
preferences of impaired work persons. While the Industry 4.0 literature provides
many real-time scheduling algorithms for incorporating multiple objectives and
constraints, these algorithms fall short of the characteristics of sheltered workshops.
The resource-constrained project scheduling problem (RCPSP) is an optimization
problem for computing manufacturing plans considering multiple objectives and
resource constraints. Among many different RCPSP variants proposed in the literature,
the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work
persons when generating manufacturing plans. With the ongoing digital transformation
of enterprises, new assistance systems enter the market, providing individual
support to impaired work persons and compensating for lacking skills and abilities.\r\nThis
paper proposes an MSRCPSP variant that incorporates assistance systems and learning
tasks compensating for competence gaps in the skill matrix of impaired work persons.
Furthermore, it decomposes tasks into individual work objects, which accounts
for frequent task interruptions and task preferences of work persons. The algorithm
is described and demonstrated using a manufacturing data set from an actual sheltered
workshop. In a small evaluation study, the algorithm is tested by scheduling two
impaired work persons in the assembly department of a medium-sized manufacturing
company in the primary labor market. The evaluation study proves its real-world
applicability and the suitability of scheduling algorithms for participation and
inclusive work."
author:
- first_name: Jan-Phillip
full_name: Herrmann, Jan-Phillip
id: '86180'
last_name: Herrmann
- first_name: Viktoria
full_name: Mordaschew, Viktoria
id: '79005'
last_name: Mordaschew
- first_name: Sven
full_name: Tackenberg, Sven
id: '71470'
last_name: Tackenberg
citation:
ama: Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons
with disabilities in sheltered workshops. Procedia Computer Science. 2024;232:1329-1338.
doi:10.1016/j.procs.2024.01.131
apa: Herrmann, J.-P., Mordaschew, V., & Tackenberg, S. (2024). A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops. Procedia
Computer Science, 232, 1329–1338. https://doi.org/10.1016/j.procs.2024.01.131
bjps: Herrmann J-P, Mordaschew V and Tackenberg S (2024) A Multi-Skill RCPSP
Variant for Persons with Disabilities in Sheltered Workshops. Procedia Computer
Science 232, 1329–1338.
chicago: 'Herrmann, Jan-Phillip, Viktoria Mordaschew, and Sven Tackenberg. “A Multi-Skill
RCPSP Variant for Persons with Disabilities in Sheltered Workshops.” Procedia
Computer Science 232 (2024): 1329–38. https://doi.org/10.1016/j.procs.2024.01.131.'
chicago-de: 'Herrmann, Jan-Phillip, Viktoria Mordaschew und Sven Tackenberg. 2024.
A multi-skill RCPSP variant for persons with disabilities in sheltered workshops.
Procedia Computer Science 232: 1329–1338. doi:10.1016/j.procs.2024.01.131,
.'
din1505-2-1: 'Herrmann, Jan-Phillip
; Mordaschew, Viktoria ; Tackenberg,
Sven: A multi-skill RCPSP variant for persons with disabilities in sheltered
workshops. In: Procedia Computer Science Bd. 232. Amsterdam, Elsevier BV
(2024), S. 1329–1338'
havard: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A multi-skill RCPSP variant
for persons with disabilities in sheltered workshops, Procedia Computer Science.
232 (2024) 1329–1338.
ieee: 'J.-P. Herrmann, V. Mordaschew, and S. Tackenberg, “A multi-skill RCPSP variant
for persons with disabilities in sheltered workshops,” Procedia Computer Science,
vol. 232, pp. 1329–1338, 2024, doi: 10.1016/j.procs.2024.01.131.'
mla: Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with
Disabilities in Sheltered Workshops.” Procedia Computer Science, vol. 232,
2024, pp. 1329–38, https://doi.org/10.1016/j.procs.2024.01.131.
short: J.-P. Herrmann, V. Mordaschew, S. Tackenberg, Procedia Computer Science 232
(2024) 1329–1338.
ufg: 'Herrmann, Jan-Phillip/Mordaschew, Viktoria/Tackenberg, Sven: A multi-skill
RCPSP variant for persons with disabilities in sheltered workshops, in: Procedia
Computer Science 232 (2024), S. 1329–1338.'
van: Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons
with disabilities in sheltered workshops. Procedia Computer Science. 2024;232:1329–38.
date_created: 2026-01-29T10:22:56Z
date_updated: 2026-02-10T10:53:45Z
department:
- _id: DEP7020
doi: 10.1016/j.procs.2024.01.131
intvolume: ' 232'
keyword:
- Scheduling
- Sheltered Workshops
- Assistance System
- Persons with Disabilities
language:
- iso: eng
page: 1329-1338
place: Amsterdam
publication: Procedia Computer Science
publication_identifier:
issn:
- 1877-0509
publication_status: published
publisher: Elsevier BV
status: public
title: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops
type: scientific_journal_article
user_id: '83781'
volume: 232
year: '2024'
...