603. Integrated lot-sizing and cutting stock problem applied to lattice slab production
Invited abstract in session MB-49: Integrated lot-sizing problems, stream Lot Sizing, Lot Scheduling and Production Planning.
Monday, 10:30-12:00Room: M1 (building: 101)
Authors (first author is the speaker)
| 1. | Silvio Alexandre de Araujo
|
| Departamento de Matemática, Universidade Estadual Paulista-UNESP | |
| 2. | Caroline de Arruda Signorini
|
| Departamento de Matemática, Universidade Estadual Paulista (Unesp) | |
| 3. | Raf Jans
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| Department of Logistics and Operations Management , HEC Montreal |
Abstract
In the construction industry, lattice joists (referred to as an "item" in this study) are precast structures that combine a steel truss with a concrete base. Their production is based on a client's order that specifies the quantity, length, and deadline for delivery. A process manager uses this information to create a weekly production plan that determines the number and type of items to produce in each period. This study considers a real-world production planning problem in a Brazilian lattice slab factory. The primary concerns of the factory include minimizing the waste of steel trusses and optimizing setups and inventory. Decisions regarding purchasing steel trusses (objects) and managing stocks in different sizes are also considered. We propose two alternative mathematical formulations for this integrated lot sizing and cutting stock problem. Additionally, solution strategies are proposed to address the resulting mixed-integer programming models. Computational tests are conducted to evaluate the effectiveness of the proposed model and the solution approaches.
Keywords
- Production and Inventory Systems
- Cutting and Packing
- Column Generation
Status: accepted
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