 Order acceptance and scheduling problem with outsourcing in seru production system considering lot-spittingLili Wang, Zhe Zhang and Yong Yin European Journal of Industrial Engineering, 2022, vol. 16, issue 1, 91-116 Abstract: This paper focuses on the order acceptance and scheduling problem considering lot-spitting with outsourcing decisions simultaneously in seru production system. Assume that the company's production capacity is limited, and that the outsourcer will require different outsourcing costs for different orders. Therefore, when the outsourcing cost of an order is relatively high, the company can choose to process it internally or reject the order directly, so that the company can achieve higher revenue. To solve this complex problem, a mixed 0-1 integer programming model is established, and the objective function maximisation of the net revenue is considered. Due to the complexity of the problem and model, an efficient hybrid algorithm named adaptive simulated annealing genetic algorithm (ASAGA) is designed for the proposed model. Finally, the experimental results show that the ASAGA has better optimal results and excellent scalability. [Received: 27 August 2019; Accepted: 6 February 2021] Keywords: order acceptance and scheduling; OAS; seru; outsourcing; lot-spitting; hybrid intelligent algorithm. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:16:y:2022:i:1:p:91-116 Access Statistics for this article More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.