Abstract
Traditionally in metal cutting, it is assumed that a machine tool can process at most one operation at a time since machine tools have one spindle and one turret. Yet, with advent of machine tools with multiple spindles and multiple turrets, this assumption does not hold anymore. This paper deals with the integrated problem of process planning and production scheduling for a parallel processing manufacturing cells with multitasking machines. A novel Variable Neighborhood Search (VND) metaheuristic is proposed to solve the problem. This algorithm employs novel operators that cover mechanisms to combine and improve, replace and shake plans and individuals of the VNS population-based search.
| Original language | English |
|---|---|
| Pages (from-to) | 50-55 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 20 |
| Issue number | C |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | International Conference on Ramp-Up Management, ICRM 2014 - Aachen, Germany Duration: 12 Jun 2014 → 13 Jun 2014 |
Bibliographical note
Publisher Copyright:© 2014 Elsevier B.V.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Metaheuristics
- Process planning parallel processing/Multitask machine tools
- Production scheduling
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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