Synchronizing production and delivery in flow shops with time-of-use electricity pricing
- Author
- Humyun Fuad Rahman, Tom Servranckx (UGent) , Ripon K. Chakrabortty, Mario Vanhoucke (UGent) and Sondoss El Sawah
- Organization
- Abstract
- Manufacturing supply chains (SC) shift from traditional make-to-stock systems to make-to-order (MTO) systems in order to coordinate the production and distribution of complex and highly customized products. Despite the need for advanced scheduling approaches when coordinating such MTO-based SCs, there is little research focussing on practical settings that include variable processing speeds, sequence-dependent setup times (SDST) and time-of-use (TOU) electricity prices. However, these settings are important since they influence the energy consumption and the associated electricity costs have an impact on the decision-making process. Furthermore, there is also an increasing concern regarding green production in manufacturing such that the energy consumption cannot be ignored in decision making. In this study, we investigate a bi-objective energy-efficient permutation flow shop scheduling problem in MTO-based SC (EPFSPSC) with the conjoint objectives of minimising the cost of inventory, delivery, tardiness and electricity costs for production. In order to solve this problem, a genetic algorithm-based memetic algorithm is proposed and its effectiveness is demonstrated against a well-known benchmark approach. This research aims to assist production managers in making integrated production and distribution decisions, while simultaneously considering all associated costs and ensuring green manufacturing.
- Keywords
- Flow shop scheduling, Supply chain, Batch delivery, Electricity tariff, Memetic algorithm
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JKZSSXAGRF0VAXRQ97YE0ED8
- MLA
- Rahman, Humyun Fuad, et al. “Synchronizing Production and Delivery in Flow Shops with Time-of-Use Electricity Pricing.” ANNALS OF OPERATIONS RESEARCH, vol. 345, no. 1, 2025, pp. 371–403, doi:10.1007/s10479-024-06430-6.
- APA
- Rahman, H. F., Servranckx, T., Chakrabortty, R. K., Vanhoucke, M., & El Sawah, S. (2025). Synchronizing production and delivery in flow shops with time-of-use electricity pricing. ANNALS OF OPERATIONS RESEARCH, 345(1), 371–403. https://doi.org/10.1007/s10479-024-06430-6
- Chicago author-date
- Rahman, Humyun Fuad, Tom Servranckx, Ripon K. Chakrabortty, Mario Vanhoucke, and Sondoss El Sawah. 2025. “Synchronizing Production and Delivery in Flow Shops with Time-of-Use Electricity Pricing.” ANNALS OF OPERATIONS RESEARCH 345 (1): 371–403. https://doi.org/10.1007/s10479-024-06430-6.
- Chicago author-date (all authors)
- Rahman, Humyun Fuad, Tom Servranckx, Ripon K. Chakrabortty, Mario Vanhoucke, and Sondoss El Sawah. 2025. “Synchronizing Production and Delivery in Flow Shops with Time-of-Use Electricity Pricing.” ANNALS OF OPERATIONS RESEARCH 345 (1): 371–403. doi:10.1007/s10479-024-06430-6.
- Vancouver
- 1.Rahman HF, Servranckx T, Chakrabortty RK, Vanhoucke M, El Sawah S. Synchronizing production and delivery in flow shops with time-of-use electricity pricing. ANNALS OF OPERATIONS RESEARCH. 2025;345(1):371–403.
- IEEE
- [1]H. F. Rahman, T. Servranckx, R. K. Chakrabortty, M. Vanhoucke, and S. El Sawah, “Synchronizing production and delivery in flow shops with time-of-use electricity pricing,” ANNALS OF OPERATIONS RESEARCH, vol. 345, no. 1, pp. 371–403, 2025.
@article{01JKZSSXAGRF0VAXRQ97YE0ED8,
abstract = {{Manufacturing supply chains (SC) shift from traditional make-to-stock systems to make-to-order (MTO) systems in order to coordinate the production and distribution of complex and highly customized products. Despite the need for advanced scheduling approaches when coordinating such MTO-based SCs, there is little research focussing on practical settings that include variable processing speeds, sequence-dependent setup times (SDST) and time-of-use (TOU) electricity prices. However, these settings are important since they influence the energy consumption and the associated electricity costs have an impact on the decision-making process. Furthermore, there is also an increasing concern regarding green production in manufacturing such that the energy consumption cannot be ignored in decision making. In this study, we investigate a bi-objective energy-efficient permutation flow shop scheduling problem in MTO-based SC (EPFSPSC) with the conjoint objectives of minimising the cost of inventory, delivery, tardiness and electricity costs for production. In order to solve this problem, a genetic algorithm-based memetic algorithm is proposed and its effectiveness is demonstrated against a well-known benchmark approach. This research aims to assist production managers in making integrated production and distribution decisions, while simultaneously considering all associated costs and ensuring green manufacturing.}},
author = {{Rahman, Humyun Fuad and Servranckx, Tom and Chakrabortty, Ripon K. and Vanhoucke, Mario and El Sawah, Sondoss}},
issn = {{0254-5330}},
journal = {{ANNALS OF OPERATIONS RESEARCH}},
keywords = {{Flow shop scheduling,Supply chain,Batch delivery,Electricity tariff,Memetic algorithm}},
language = {{eng}},
number = {{1}},
pages = {{371--403}},
title = {{Synchronizing production and delivery in flow shops with time-of-use electricity pricing}},
url = {{http://doi.org/10.1007/s10479-024-06430-6}},
volume = {{345}},
year = {{2025}},
}
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