#5673. Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability
August 2026 | publication date |
Proposal available till | 23-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Engineering (all);
Computer Science (all); |
Places in the authors’ list:
1 place - free (for sale)
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Abstract:
The scheduling problem in manufacturing companies with high rework rates remains a complex research area to date. This paper presents a new approach for manufacturing scheduling that combines a predictive schedule with a proactive multicriteria decision-making method based on smart batches and their quality prediction capability. Each batch embeds an algorithm that allows it to predict its quality out of the next workstation. As soon as a batch determines that its process is too hazardous, a collaborative rescheduling decision, using the analytic hierarchy process (AHP), is initiated with its peer. This article details the proposed approach along with the AHP structure and presents the considered decision problem. A simulation model inspired by a lacquering-robot case study is described to validate this proposition. Then, the results of different scenarios are presented and discussed, highlighting the impact of social myopia on smart batches.
Keywords:
Analytic hierarchy process (AHP); Multicriteria decision method; Proactive decision-making; Quality prediction; Rework; Smart products
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