Simulation-based planning and evaluation of personnel scheduling in knowledge-intensive production systems

Denkena, Berend; Dittrich, Marc-André; Winter, Florian; Wagener, Christian

doi:10.1007/s11740-016-0693-4

Cited by 13 publications

(4 citation statements)

References 6 publications

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“…The CG algorithm is developed by selecting the most proficient worker for each task starting from the first task to the last. Once the most skilled worker is determined, the standard allowable minutes are adjusted by formula (5). As all workers have been assigned to those tasks, the tasks then are assigned to work stations with the restrictions of not exceeding the average cycle time of each work station and following the precedence relationship.…”

Section: Cg Algorithm Stepsmentioning

confidence: 99%

“…Table 3a provides the statistics on the CG algorithm and 13 work stations (corresponding to 13 branches) with task-worker assignments. The total adjusted SAM corresponding to the adjusted standard allowable minutes obtained from formula (5). The min and max correspond to the minimum and maximum work station processing times, respectively.…”

Section: Worker's Assignment In the Single-task Modementioning

confidence: 99%

“…To solve the problem within a reasonable amount of time, Aǧrali et al [4] considers reformulation strategy. Dekena et al [5] claim that the employees place the great impact on productivity and flexibility of the production system. They develop the production plan adopting the employee competence.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry

Chen¹,

Chen²,

Dang³

et al. 2021

IJCIS

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This research investigates how to properly place garment industry workers to work stations in the assembly line to achieve a more balanced production and to reduce the production cycle time. We simulate the assembly line balancing problem via staff assignments. In our research, we conduct a comparative case study and implement our own simulation. The experiments are designed with both single-and multitasking modes. Each experiment is carried out for 10 runs. Finally, we compare our results obtained among constructive greedy, tabu search and simulated annealing. We find that tabu search algorithm is better than simulated annealing on the problem of staff assignment. Meanwhile, we also observe that if we adjust 30% labor force from single task into multitasking mode, the assembly line performance deteriorates. This case is accentuated for workers with disparate skill levels for different tasks.

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Section: Cg Algorithm Stepsmentioning

confidence: 99%

Section: Worker's Assignment In the Single-task Modementioning

confidence: 99%

See 1 more Smart Citation

Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry

Chen¹,

Chen²,

Dang³

et al. 2021

IJCIS

View full text Add to dashboard Cite

show abstract

“…Approaches going in this direction mostly come from the context of personnel scheduling. As an example, [7] developed a concept to describe the learning and forgetting of processes in order to evaluate the impact of the competence of the worker on the production targets. However, [8] presented an approach for the efficient as-signment of auxiliary workers based on their competence profiles.…”

Section: Current State Of Research and Re-search Goalmentioning

confidence: 99%

Towards capability-based worker modelling in a smart factory

Vernim

Walzel

Knoll

et al. 2017

2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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New technologies and the emphasis on digitalization in industrial companies lead to major changes in production environments. A significant reorganization of production processes is one of the results. This takes place in different production areas and transforms companies into so-called Smart Factories. One of the most important questions in this context is how this transformation affects the involved employees in production and how they have to adapt to their new working environment. Therefore, it is necessary to examine the consequences for human workers and to raise awareness within the involved companies so that they can manage these changes successfully.To measure and evaluate the consequences, a way to describe human work and capabilities in different scenarios has to be developed. Such capability-based descriptions have yet only been used for elements of production systems, for example assembly systems. In this paper, we propose a new model to characterize the capabilities of a human worker based on these approaches.

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Simulation-Based Personnel Planning Considering Individual Competences of Employee

Stobrawa

Denkena

Dittrich

et al. 2018

Advances in Production Research

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Simulation-based planning and evaluation of personnel scheduling in knowledge-intensive production systems

Cited by 13 publications

References 6 publications

Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry

Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry

Towards capability-based worker modelling in a smart factory

Simulation-Based Personnel Planning Considering Individual Competences of Employee

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