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Library/Papers/Digging for Quality Management in Production Systems: A Solution Space for Blockchain Collaborations

Research paper

Digging for Quality Management in Production Systems: A Solution Space for Blockchain Collaborations

The paper derives six meta-design requirements (MDR1-MDR6) and six corresponding design principles (DP1-DP6) for future quality-management IS artifacts based on a hybrid, token-based traceability system - standardized traceability objects, extended quality control, import/export of identifiers, standardized token events, easy integration, and confidentiality of available information.

Paper
OverviewDSR gridPaper design mapDesign knowledgePublication metadata

01

Overview

Publication metadata and narrative from the current library record.

Authors
Norman Pytel, Benedikt Putz, Fabian Boehm, Axel Winkelmann
Year
2022
Venue
ICIS 2022 Proceedings
Methodology
Design science research; case study; meta-requirements transformed into design principles; expert discussion.
Publication
View publication
Design knowledge
View design knowledge on GitHub
blockchaindesign-science-researchenterprise-systemsquality-managementquality-management-productionsupply-chaintraceability

Summary

The paper derives six meta-design requirements (MDR1-MDR6) and six corresponding design principles (DP1-DP6) for future quality-management IS artifacts based on a hybrid, token-based traceability system - standardized traceability objects, extended quality control, import/export of identifiers, standardized token events, easy integration, and confidentiality of available information.

Artifact

A hybrid, token-based traceability system for quality management in production networks.

Methodology

Design science research; case study; meta-requirements transformed into design principles; expert discussion.

02

DSR grid

Six dimensions represented in the current paper record.

01

Problem description

Cross-organizational quality management in production networks needs standardized, trustworthy traceability that integrates with existing enterprise systems.

02

Input knowledge

Supply-chain traceability concepts and dimensions; enterprise-system (ERP/event) standards; token standards; a case study of production environments.

03

Research process

Design science research: a case study, derivation of meta-design requirements transformed into design principles, and expert discussion.

04

Key concepts

Quality management, blockchain, supply-chain traceability, enterprise systems, case study.

05

Solution description

A hybrid, token-based traceability system providing a solution space for blockchain collaborations in quality management. Solution-space representation: A hybrid token-based traceability solution space with design principles (nascent) guiding future design features.

06

Output knowledge

Six meta-design requirements (MDR1-MDR6), six design principles (DP1-DP6), and ten explicit MDR-to-DP mappings shown in Figure 5 for future quality-management IS artifacts.

03

Paper design map

The default semantic design map canonicalizes stored design relationships; Raw links retains the complete technical Markdown-link view.

Design-knowledge map

12 stored concepts / 10 canonical semantic relationships

Concept types
Meta-Requirements
Design Principles
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04

Design knowledge

Directly linked concepts, grouped by their represented design-knowledge category.

6 Design Principles

design-knowledge/quality-management-production-dp1

DP1 - Standardized representation of traceability objects

The system contains a consistent understanding among organizations of traceability terminologies and valuable objects.

design-principleenterprise-systemsquality-managementquality-management-production+2
design-knowledge/quality-management-production-dp2

DP2 - Extended quality control over communication and objects

The system provides hybrid tokens to map direct and indirect objects of different object types.

design-principleenterprise-systemsquality-managementquality-management-production+2
design-knowledge/quality-management-production-dp3

DP3 - Import objects from traditional information systems

The system provides import of objects from traditional IS (e.g., ERP, MES, QMS) and export of UTIDs.

design-principleenterprise-systemsquality-managementquality-management-production+2
design-knowledge/quality-management-production-dp4

DP4 - Standardized token events

The system provides functions to ensure standardized events for tokens.

design-principleenterprise-systemsquality-managementquality-management-production+2
design-knowledge/quality-management-production-dp5

DP5 - Easy integration without enterprise-system modification

The system provides USID (e.g., system IDs, license) integration through the BC system or token configuration.

design-principleenterprise-systemsquality-managementquality-management-production+2
design-knowledge/quality-management-production-dp6

DP6 - Confidentiality of available information

The system provides confidentiality by design mechanisms.

design-principleenterprise-systemsquality-managementquality-management-production+2

6 Meta Requirements

design-knowledge/quality-management-production-mdr1

MDR1 - Minimal necessary traceability objects

The system should integrate as much as necessary and as little as possible traceability objects.

enterprise-systemsmeta-requirementquality-managementquality-management-production+2
design-knowledge/quality-management-production-mdr2

MDR2 - Efficient communication of affected PS, Quality, and System objects

The system should increase efficiency of communication in channels for affected PS, Quality, and System objects.

enterprise-systemsmeta-requirementquality-managementquality-management-production+2
design-knowledge/quality-management-production-mdr3

MDR3 - UTIDs for harmonized object identification

The system should provide UTIDs to increase object identification for a harmonized traceability understanding.

enterprise-systemsmeta-requirementquality-managementquality-management-production+2
design-knowledge/quality-management-production-mdr4

MDR4 - Integration of object types and events

The system should allow the integration of object types and events.

enterprise-systemsmeta-requirementquality-managementquality-management-production+2
design-knowledge/quality-management-production-mdr5

MDR5 - Simple architecture for horizontal network-partner scalability

The system should provide a simple architecture for horizontal network partner's scalability (participation and exit).

enterprise-systemsmeta-requirementquality-managementquality-management-production+2
design-knowledge/quality-management-production-mdr6

MDR6 - Security mechanisms for confidentiality

The system should provide security mechanisms to address confidentiality concerns.

enterprise-systemsmeta-requirementquality-managementquality-management-production+2

05

Publication metadata

Additional metadata represented in the current library record.

Show additional metadata+
{
  "type": "paper",
  "title": "Digging for Quality Management in Production Systems: A Solution Space for Blockchain Collaborations",
  "description": "The paper derives six meta-design requirements (MDR1-MDR6) and six corresponding design principles (DP1-DP6) for future quality-management IS artifacts based on a hybrid, token-based traceability system - standardized traceability objects, extended quality control, import/export of identifiers, standardized token events, easy integration, and confidentiality of available information.",
  "resource": "https://aisel.aisnet.org/icis2022/blockchain/blockchain/15",
  "authors": "Norman Pytel, Benedikt Putz, Fabian Boehm, Axel Winkelmann",
  "year": 2022,
  "venue": "ICIS 2022 Proceedings",
  "methodology": "Design science research; case study; meta-requirements transformed into design principles; expert discussion.",
  "dsr_grid": true,
  "dsr_solution_space": "A hybrid token-based traceability solution space with design principles (nascent) guiding future design features.",
  "tags": [
    "quality-management-production",
    "quality-management",
    "supply-chain",
    "traceability",
    "enterprise-systems",
    "design-science-research",
    "blockchain"
  ]
}