Blockchain-Based Smart Contracting Services for Digital Supply Chain Operations in Crowdsourced Manufacturing

Xuejian Gong, Mulang Song, Roger J. Jiao () and Linda Zhang
Additional contact information
Xuejian Gong: Georgia Institute of Technology, School of Mechanical Engineering
Mulang Song: Georgia Institute of Technology, School of Mechanical Engineering
Roger J. Jiao: Georgia Institute of Technology, School of Mechanical Engineering
Linda Zhang: IÉSEG School of Management

Chapter Chapter 6 in Emerging Technologies in Supply Chains, 2026, pp 137-168 from Springer

Abstract: Abstract Enabled by digital supply chain operations, crowdsourced manufacturing leverages cloud platforms to coordinate a distributed network of manufacturers for efficient product fulfillment. Smart contracting and crowdsourcing services are pivotal in managing manufacturing and logistics tasks within digital supply chains. However, the decentralized nature of these processes presents significant challenges in handling complex, real-time data streams. This chapter introduces an innovative smart contracting service system designed to support stakeholders across the crowdsourcing process in making informed, real-time decisions. By utilizing blockchain-based smart contracts, the system ensures secure, transparent, and efficient management of distributed data, real-time monitoring, and supply chain information sharing. A three-layer digital supply chain system architecture is proposed to facilitate this environment, supported by a distributed data streaming model built on IoT infrastructure. A case study in the tank trailer manufacturing industry demonstrates the system’s effectiveness and highlights its potential to enhance operational performance in crowdsourced manufacturing environments.

Keywords: Blockchain; Smart contracting; X-as-a-service; Crowdsourcing; Manufacturing logistics; Digital supply chain (search for similar items in EconPapers)
Date: 2026
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:isochp:978-3-032-01218-0_6

Ordering information: This item can be ordered from
http://www.springer.com/9783032012180

DOI: 10.1007/978-3-032-01218-0_6

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().