89. Analysis of the Workload of Assembly Stations when the Makespan is Minimized in the Presence of Learning Effects
Invited abstract in session TD-4: Application of integer programming, stream contributed papers.
Thursday, 14:45 - 16:15Room: C105
Authors (first author is the speaker)
| 1. | Zakaria Zine El Abidine
|
| Department of Management and Business Economics, Budapest University of Technology and Economics | |
| 2. | Imre Dimény
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| bQuantitative Social and Management Science, Budapest University of Technology and Economics | |
| 3. | Tamás Koltai
|
| Management and Corporate Economics, Budapest University of Technology and Economics |
Abstract
Efficient assembly lines aim to achieve a shorter makespan to meet customer demands by reducing delivery times. Equally important is the balancing of the workloads of stations to prevent worker overload and to ensure a smooth production flow. Nonetheless, minimizing the makespan and balancing the workload are two conflicting objectives in the presence of learning, as a shorter makespan requires an unbalanced workload distribution. This study introduces a Mixed Integer Linear Programming (MILP) model to analyze the tradeoff between makespan and balanced workload. Using a practical problem, the possible compromises of the two conflicting objectives are explored, and valuable insights for managerial decision-making are provided.
Keywords
- Analysis and engineering of optimization algorithms
- Linear and nonlinear optimization
- Optimization in industry, business and finance
Status: accepted
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