A matheuristic approach for an integrated lot-sizing and scheduling problem with a period-based learning effect
| dc.authorscopusid | Reza Tavakkoli-Moghaddam / 57207533714 | |
| dc.authorwosid | Reza Tavakkoli-Moghaddam / P-1948-2015 | |
| dc.contributor.author | Rohaninejad, Mohammad | |
| dc.contributor.author | Vahedi-Nouri, Behdin | |
| dc.contributor.author | Tavakkoli-Moghaddam, Reza | |
| dc.contributor.author | Hanzálek, Zdeněk | |
| dc.date.accessioned | 2025-04-17T11:31:50Z | |
| dc.date.available | 2025-04-17T11:31:50Z | |
| dc.date.issued | 2025 | |
| dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü | |
| dc.description.abstract | This research investigates a multi-product capacitated lot-sizing and scheduling problem incorporating a novel learning effect, namely the period-based learning effect. This is inspired by a real case in a core analysis laboratory under a job shop setting. Accordingly, a Mixed-Integer Linear Programming (MILP) model is extended based on the big-bucket formulation, optimizing the total tardiness and overtime costs. Given the complexity of the problem, a cutting plane method is employed to simplify the model. Afterward, three matheuristic methods based on the rolling horizon approach are devised, incorporating two lower bounds and a local search heuristic. Furthermore, a post-processing approach is implemented to incorporate lot-streaming possibility. Computational experiments demonstrate: 1) the simplified model performs effectively in terms of both solution quality and computational time; and 2) although the model encounters challenges with large-scale instances, the proposed matheuristic methods achieve satisfactory outcomes; and 3) it can be inferred that the complexity of the models and solution methods are independent of the learning effect; however, the value of learning effect may impact the performance of the lower bounds; 4) in manufacturing settings, where the lot-streaming is possible, incorporating post-processing can drastically improve the objective function; 5) the impact of the period-based learning effect in the results is significant, and the model's sensitivity to time-based parameters (e.g., learning rate) is more than cost-based ones (e.g., tardiness cost). | |
| dc.description.sponsorship | European Commission Grantová Agentura České Republiky | |
| dc.identifier.citation | Rohaninejad, M., Vahedi-Nouri, B., Tavakkoli-Moghaddam, R., & Hanzálek, Z. (2025). A matheuristic approach for an integrated lot-sizing and scheduling problem with a period-based learning effect. Expert Systems with Applications, 269, 126234. | |
| dc.identifier.doi | 10.1016/j.eswa.2024.126234 | |
| dc.identifier.endpage | 13 | |
| dc.identifier.issn | 0957-4174 | |
| dc.identifier.issn | 1873-6793 | |
| dc.identifier.scopus | 2-s2.0-85214422889 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 1 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.eswa.2024.126234 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12713/6225 | |
| dc.identifier.volume | 269 | |
| dc.identifier.wos | WOS:001414274200001 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Tavakkoli-Moghaddam, Reza | |
| dc.institutionauthorid | Reza Tavakkoli-Moghaddam / 0000-0002-6757-926X | |
| dc.language.iso | en | |
| dc.publisher | Elsevier ltd | |
| dc.relation.ispartof | Expert systems with applications | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Learning Effect | |
| dc.subject | Local Search | |
| dc.subject | Lot-Sizing | |
| dc.subject | Matheuristics | |
| dc.subject | Rolling Horizon | |
| dc.subject | Scheduling | |
| dc.title | A matheuristic approach for an integrated lot-sizing and scheduling problem with a period-based learning effect | |
| dc.type | Article |
