A MIP-Based Comparison of Standard Scheduling Approaches for Planning in Additive Manufacturing Environments

Benedikt Zipfel ()
Additional contact information
Benedikt Zipfel: Department of Business Administration, esp. Industrial Management, TU Dresden

Chapter Chapter 56 in Operations Research Proceedings 2023, 2025, pp 439-446 from Springer

Abstract: Abstract This study examines the implications of considering additive manufacturing (AM) machines in scheduling approaches and evaluates the relationship to well-known scheduling problems on batch processing machines. To this end, we first analyze AM technologies and derive ways to model the processing time of production jobs. We examine the impact of integrating AM-specific processing time models into scheduling problems. For this purpose, we present a mixed-integer programming model aiming to minimize makespan on unrelated parallel AM machines. Based on our findings, we integrate different variants to calculate processing times for this model and demonstrate the different influences on the scheduling tasks. To evaluate the performance of the model variants and their impacts on resulting schedules, we explore various instance settings. The results of our study highlight the benefits of explicitly incorporating AM features in model formulations to substantially improve makespan in AM production facilities.

Keywords: Batch scheduling; Parallel machines; Additive manufacturing; Mixed integer programming (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-58405-3_56

Ordering information: This item can be ordered from
http://www.springer.com/9783031584053

DOI: 10.1007/978-3-031-58405-3_56

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().