Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5599
Title: Bicriteria scheduling of a material handling robot in an m-machine cell to minimize the energy consumption of the robot and the cycle time
Authors: Gultekin H.
Gürel S.
Taşpınar R.
Keywords: Bicriteria scheduling
Energy consumption
Robot speed control
Robotic cell
Second order cone programming
Issue Date: 2021
Publisher: Elsevier Ltd
Abstract: 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. © 2021 Elsevier Ltd
URI: https://doi.org/10.1016/j.rcim.2021.102207
https://hdl.handle.net/20.500.11851/5599
ISSN: 0736-5845
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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