Task-service matching problem for platform-driven manufacturing-as-a-service: A one-leader and multi-follower Stackelberg game with multiple objectives

Wenchong Chen, Pengwei Feng, Xinggang Luo and Libing Nie

Omega, 2024, vol. 129, issue C

Abstract: Along with the increased use of digitization, platform-driven manufacturing-as-a-service (p-MaaS) is becoming an inevitable trend of the manufacturing industry. End-users openly share their personalized manufacturing tasks, which necessitates platform-based crowdsourcing to conduct manufacturing service collaboration and at last achieve efficient task-service matching (TSM). This crowdsourcing takes into account the autonomy of end-users, platforms, and manufacturing servicers, which challenges previous opinions that distributed manufacturing services must be centralized and controlled by platforms. This paper proposes a novel TSM problem for p-MaaS under the framework of crowdsourcing. The platform plays the role of allocating new emerged tasks and broadcasting to corresponding servicers. All servicers receive the broadcast information and conduct scheduling-based task acceptance (STA) independently. The above manufacturing task allocation (MTA) focuses on maximizing the net revenue of TSM and at the same time enables servicers to accept tasks as many as possible. In terms of the inherent interactive mechanism between MTA and STA, in which MTA generates a decision space for STA and STA feeds task acceptance schemes and the corresponding fulfillment costs back for use in MTA decision-making, a bilevel multi-objective optimization (BMO) is formulated to simultaneously address the two subproblems based on a Stackelberg game. The BMO is a type of multi-objective nonlinear programming, and a nested algorithm is designed to solve it. The better performance of the BMO is verified through a practical case study.

Keywords: Industrial internet platform; Manufacturing-as-a-service; Task-service matching; Stackelberg game; Multi-objective optimization (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305048324001221
Full text for ScienceDirect subscribers only

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:eee:jomega:v:129:y:2024:i:c:s0305048324001221

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.omega.2024.103157

Access Statistics for this article

Omega is currently edited by B. Lev

More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().