Scheduling and Process Planning for the Dismantling Shop with Flexible Disassembly Mode and Recovery Level

31 Pages Posted: 29 Jun 2022

See all articles by Franz Ehm

Franz Ehm

affiliation not provided to SSRN

Abstract

The challenges of climate change and resource scarcity have led policy makers around the globe to strengthen the concept of circular economy. Legislation towards extended producer responsibility means that recovery of parts and material from end-of-life (EOL) products is increasingly imposed as a mandatory task for manufacturers across various industries. Consequently, EOL decision making has emerged as a relevant topic in management science. Recent research has addressed the environmental impact of EOL operations by considering energy usage or carbon emissions from variable disassembly sequences and recovery options. This paper deals with selective disassembly planning and scheduling for multiple products and considers the environmental impact that results from the process planning stage. It extends previous formulations by incomplete disassembly and operation mode flexibility. In the multi-objective optimization problem, a trade-off is created between potential time savings and the ecological impact from process related emissions and the environmental penalty associated with recovery of damaged parts, unseparated modules or unpurified materials. A mathematical formulation is presented and the model based solution is demonstrated using a case study from end-of-life engine disassembly. Next, a multi-objective genetic algorithm (MOGA) is developed and tested using synthetic disassembly problem data. As shown in computational experiments, MOGA outperforms the exact model in more complex problem settings or produces competitive results in a fraction of time required by the commercial solver.

Keywords: Disassembly, scheduling, Remanufacturing, multi-objective optimization, Genetic Algorithm

Suggested Citation

Ehm, Franz, Scheduling and Process Planning for the Dismantling Shop with Flexible Disassembly Mode and Recovery Level. Available at SSRN: https://ssrn.com/abstract=4149361 or http://dx.doi.org/10.2139/ssrn.4149361

Franz Ehm (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

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