Product platforms design, selection and customisation in high-variety manufacturing
| Autor: | Cristina Mora, Francesco Gabriele Galizia, Marco Bortolini, Hoda A. ElMaraghy |
|---|---|
| Přispěvatelé: | Galizia, Francesco Gabriele, ElMaraghy, Hoda, Bortolini, Marco, Mora, Cristina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Decision support system 021103 operations research Computer science Strategy and Management 0211 other engineering and technologies product variety management 02 engineering and technology median-joining phylogenetic network product platform customisation Management Science and Operations Research Industrial and Manufacturing Engineering Manufacturing engineering Variety (cybernetics) 020901 industrial engineering & automation mass customisation delayed product differentiation median-joining phylogenetic networks Product (category theory) Selection (genetic algorithm) |
| Zdroj: | International Journal of Production Research. 58:893-911 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207543.2019.1602745 |
| Popis: | Product platforms represent an effective strategy implemented by manufacturers to cope with dynamic market demands, decrease lead-time and delay products differentiation. A decision support system (DSS) for product platforms design and selection in high-variety manufacturing is presented. It applies median-joining phylogenetic networks (MJPN) for the platforms design and phylogenetic tree decomposition for platforms selection by determining the product family phylogenetic network and defines the platforms at various levels of assembly corresponding to different trade-offs between number of platforms (variety) and number of assembly/disassembly tasks (customisation effort). Product platforms are reconfigured and customised to derive final product variants. The phylogenetic tree is decomposed in multiple levels, from the native platforms to the final variants. New Platforms Reconfiguration Index (PRI) and Platforms Customisation Index (PCI) were developed as metrics to evaluate the platforms customisation effort. A case study of a large family of plastic valves is used to demonstrate the DSS application. It shows reduction of 60% in platforms variety and increases in platform customisation assembly/disassembly tasks by only 20% leading to significant production and inventory efficiencies and cost savings. This methodology supports companies in the design and selection of best product platforms for high-variety to reduce cost and delivery time. |
| Databáze: | OpenAIRE |
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