Bicriteria scheduling of a material handling robot in an m-machine cell to minimize the energy consumption of the robot and the cycle time
| Autor: | Sinan Gürel, Rabia Taspinar, Hakan Gultekin |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Computer science General Mathematics 020208 electrical & electronic engineering Pareto principle Scheduling (production processes) 02 engineering and technology Energy consumption Industrial and Manufacturing Engineering Computer Science Applications Set (abstract data type) 020901 industrial engineering & automation Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Second-order cone programming Robot Throughput (business) Software Efficient energy use |
| Zdroj: | Robotics and Computer-Integrated Manufacturing. 72:102207 |
| ISSN: | 0736-5845 |
| DOI: | 10.1016/j.rcim.2021.102207 |
| Popis: | This study considers a flowshop type production system consisting of m machines. A material handling robot transports the parts between the machines and loads and unloads the machines. We consider the sequencing of the robot moves and determining the speeds of these moves simultaneously. These decisions affect both the robot’s energy consumption and the production speed of the system. In this study, these two objectives are considered simultaneously. We propose a second order cone programming formulation to find Pareto efficient solutions. We also develop a heuristic algorithm that finds a set of approximate Pareto efficient solutions. The conic formulation can find robot schedules for small cells with less number of machines in reasonable computation times. Our heuristic algorithm can generate a large set of approximate Pareto efficient solutions in a very short computational time. Proposed solution approaches help the decision-maker to achieve the best trade-off between the throughput of a cell and the energy efficiency of a material handling robot. |
| Databáze: | OpenAIRE |
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