---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jan-Phillip
      foaf_name: Herrmann, Jan-Phillip
      foaf_surname: Herrmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=86180
  - foaf_Person:
      foaf_givenName: Sven
      foaf_name: Tackenberg, Sven
      foaf_surname: Tackenberg
      foaf_workInfoHomepage: http://www.librecat.org/personId=71470
  - foaf_Person:
      foaf_givenName: Florens
      foaf_name: Burgert, Florens
      foaf_surname: Burgert
  - foaf_Person:
      foaf_givenName: Verena
      foaf_name: Nitsch, Verena
      foaf_surname: Nitsch
  bibo_doi: 10.1016/j.procs.2025.01.244
  bibo_volume: 253
  dct_date: 2025^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1877-0509
  dct_language: eng
  dct_publisher: Elsevier BV@
  dct_subject:
  - Task Sequencing
  - Manufacturing
  - Learning To Rank
  - Scheduling Human Factors
  - Case Study
  dct_title: Influencing factors on worker task sequencing decisions in a medium-sized
    hydraulic cylinder manufacturer@
...