An ontology-based approach for supply-chain quality control: From a principal-agent perspective

Wang, Shanshan1; Chen, Kun2; Liu, Zhiyong3; Guo, Ren-Yong4; Chen, Si1

2019-06

10.1177/0165551518787693

JOURNAL OF INFORMATION SCIENCE   影响因子和分区

0165-5515

1741-6485

The efficacy of the principal-agent contract in supply-chain quality control depends not only on contract parameters but also such noncontract parameters as cost of a high-quality effort and the diagnostic error of the inspection policy. The noncontract parameters usually fluctuate and are unobservable during contract execution, which may hinder suppliers' high-quality effort, or, in other words, result in a lower efficacy for the contract. This article proposes an ontology-based approach to facilitating a principal-agent contract by monitoring the contract's loss of efficacy. The approach consists of ontology-based models and data-centric algorithms. The ontology-based models not only formally represent concepts and relations between concepts involved in predicting whether a contract is efficient, but also organise multichannel data such as news, marketplace reports and industry databases containing information of factors impacting the unobservable noncontract parameters' fluctuations. Based on the ontology-based models and multichannel data, the data-centric algorithms are developed to predict whether a contract will lose efficacy. We evaluate our approach through case study, simulation and comparison against related approaches to supply-chain quality control. The case study proves that our approach is appropriate. In the simulation evaluation, a combination of our approach and principal-agent contract is more efficient than just a principal-agent contract. The comparison results against related approaches show that our approach is a novel, inexpensive and directly applicable tool for reducing both asymmetric information and moral hazard in supply-chain quality control.

Data-centric framework ontologies principal-agent contract quality control supply chain

SCI ; EI ; SSCI

英语

通讯

National Natural Science Foundation of China[71461023]

Computer Science ; Information Science & Library Science

Computer Science, Information Systems ; Information Science & Library Science

WOS:000468204400001

SAGE PUBLICATIONS LTD

20183005589287

Inspection ; Quality assurance ; Quality control ; Risk management ; Supply chains

Industrial Engineering and Management:912 ; Production Planning and Control; Manufacturing:913 ; Quality Assurance and Control:913.3

SOCIAL SCIENCES, GENERAL

Web of Science

1.Inner Mongolia Univ, Coll Comp Sci, Hohhot 010021, Peoples R China
2.South Univ Sci & Technol, Dept Finance, Shenzhen 518055, Peoples R China
3.Dalian Univ Technol, Fac Management & Econ, Dalian, Peoples R China
4.Beihang Univ, Sch Econ & Management, Beijing, Peoples R China

Wang, Shanshan,Chen, Kun,Liu, Zhiyong,et al. An ontology-based approach for supply-chain quality control: From a principal-agent perspective[J]. JOURNAL OF INFORMATION SCIENCE,2019,45(3):283-303.

Wang, Shanshan,Chen, Kun,Liu, Zhiyong,Guo, Ren-Yong,&Chen, Si.(2019).An ontology-based approach for supply-chain quality control: From a principal-agent perspective.JOURNAL OF INFORMATION SCIENCE,45(3),283-303.

Wang, Shanshan,et al."An ontology-based approach for supply-chain quality control: From a principal-agent perspective".JOURNAL OF INFORMATION SCIENCE 45.3(2019):283-303.