Multi-shift Worker Assignment Problem with a Heterogeneous Workforce in Semi-automated Electronics Production
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
To face the challenges of today’s competitive industry, this work studies a real-world problem in semi-automated electronics production. It considers a worker assignment problem with a heterogeneous workforce in the multi-shift environment of protective device manufacturing. Simultaneously with multi-skilled workers, requested orders are assigned to workstations and shifts. One of the main particularities is the restriction of possible assignments of workers and orders to workstations according to qualifications. Additionally, this paper considers sequence-independent family setup times, disparate workstations, and a time limit for completing the orders. A mixed-integer linear programming model is introduced that minimizes the makespan calculated by the last shift used for production. The model is tested using real-world data. Additionally, this contribution examines the influence of the workforce with the help of scenario analysis and solves 49 test instances. The solutions serve as input and support for production planners and personnel planning. Furthermore, this work reveals production problems such as a lack of workers and qualifications.
Details
Original language | English |
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Title of host publication | Computational Logistics - 13th International Conference, ICCL 2022, Proceedings |
Editors | Jesica de Armas, Helena Ramalhinho, Stefan Voß |
Pages | 457-471 |
Number of pages | 15 |
Volume | 13557 |
Publication status | Published - 14 Sept 2022 |
Peer-reviewed | Yes |
External IDs
Scopus | 85138794118 |
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Mendeley | 659e528e-66c4-3140-b184-a33da9ea94f4 |
unpaywall | 10.1007/978-3-031-16579-5_31 |
WOS | 000870736900031 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
Keywords
- Heterogeneous workforce, Multi-shift, Semi-automated production, Worker assignment