Design of Agent Annual Inspection Service Based on Process Chain Network Analysis

WU Jian-feng, YAO Ji, LU Qing-shu, HUANG Wei

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (10) : 169-176.

PDF(1089 KB)
PDF(1089 KB)
Packaging Engineering ›› 2022, Vol. 43 ›› Issue (10) : 169-176. DOI: 10.19554/j.cnki.1001-3563.2022.10.020

Design of Agent Annual Inspection Service Based on Process Chain Network Analysis

  • WU Jian-feng, YAO Ji, LU Qing-shu, HUANG Wei
Author information +
History +

Abstract

This paper analyzes the common problems in the existing agent annual inspection service, and optimizes the related service process and service content. The process chain network analysis (PCN) is introduced to decompose the existing agent annual inspection service, and the core pain points and value propositions of the target users are sorted out. Combined with the service process reengineering (BPR), the design strategy of the agent annual inspection service is proposed. The main problems of the agent annual inspection business are complicated process, low transparency of process progress, weak certainty of agent annual inspection service platform and easy service termination. Based on this, the service link of agent annual inspection is reconstructed, and the design strategies of reducing user independent processing steps, enhancing user service process perception and strengthening platform service certainty to reduce service interruption are proposed to increase user stickiness. The introduction of process chain network analysis and service process reengineering in service innovation design helps to focus on business pain points, insight into user needs, and formulate effective optimization design strategies through modular decomposition and reconstruction of current service processes.

Key words

process chain network; service process reengineering; agent annual inspection; service design

Cite this article

Download Citations
WU Jian-feng, YAO Ji, LU Qing-shu, HUANG Wei. Design of Agent Annual Inspection Service Based on Process Chain Network Analysis[J]. Packaging Engineering. 2022, 43(10): 169-176 https://doi.org/10.19554/j.cnki.1001-3563.2022.10.020
PDF(1089 KB)

Accesses

Citation

Detail

Sections
Recommended

/