Towards Mass Customization and Individualization of Agricultural Products: Introducing Reconfigurable Manufacturing Systems to Agriculture

Yongbing Feng () and Guohua Gao
Additional contact information
Yongbing Feng: Beijing University of Technology
Guohua Gao: Beijing University of Technology

A chapter in LISS 2024, 2025, pp 649-659 from Springer

Abstract: Abstract As the demand for product customization and individualization grows across various industries, the agricultural sector is also beginning to explore its potential for mass customization and individualization. Agricultural production systems face the dual challenge of accommodating diverse customer preferences while also considering the natural variability inherent in agricultural products. The objective of this study is to explore the existing research endeavors and practical implementations of reconfigurable manufacturing systems (RMS) within the agricultural sector. By conducting a comparative analysis with other industries, we aim to elucidate the current status and prospective applications of agricultural reconfigurable production systems (ARPS).

Keywords: mass customization; mass individualization; reconfigurable manufacturing systems; agricultural reconfigurable production systems; reconfigurability (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:978-981-96-9697-0_50

Ordering information: This item can be ordered from
http://www.springer.com/9789819696970

DOI: 10.1007/978-981-96-9697-0_50

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 ().