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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 meta-design requirements and six design principles 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.

PaperOpen source resource ↗
OverviewDSR gridDesign knowledgePaper design mapPublication 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.
blockchaindesign-science-researchenterprise-systemsquality-managementquality-management-productionsupply-chaintraceability

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

Authors: Norman Pytel, Benedikt Putz, Fabian Boehm, Axel Winkelmann
Venue: ICIS 2022 Proceedings
Link: https://aisel.aisnet.org/icis2022/blockchain/blockchain/15 (opens in a new tab)

Summary

The paper derives meta-design requirements and six design principles 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.

Citations

[1] Norman Pytel, Benedikt Putz, Fabian Boehm, Axel Winkelmann. Digging for Quality Management in Production Systems: A Solution Space for Blockchain Collaborations. ICIS 2022 Proceedings. https://aisel.aisnet.org/icis2022/blockchain/blockchain/15 (opens in a new tab) [2] Source document: Digging for Quality Management in Production Systems.pdf

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 design principles (with underlying meta-design requirements) for future quality-management IS artifacts.

03

Design knowledge

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

Design Principle

Design Principle6
Design Principle
design-knowledge/quality-management-production-dp1

DP1 - Standardized representation of traceability objects

Provide a standardized representation of traceability objects through a hybrid, token-based traceability system, with organizations collaboratively determining necessary dimensions before developin...

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

DP2 - Extended quality control over communication and objects

Provide information about direct and indirect objects to give extended quality control over communication processes, affected objects, and involved quality trading partners.

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

DP3 - Import objects from traditional information systems

Enable the system to import objects from traditional information systems (and export unique token identifiers) to fully utilize blockchain as a leading information system for identifiers in supply...

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

DP4 - Standardized token events

Allow the definition of standardized events to achieve a syntactic and semantic standard for token events.

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

DP5 - Easy integration without enterprise-system modification

Provide a unique-system-identifier application that can be integrated with a network or token standard easily, without having to modify one's enterprise system at great expense.

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

DP6 - Confidentiality of available information

Ensure that available information addresses confidentiality concerns to protect identity recognition against external parties.

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

04

Paper design map

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

Design-knowledge map

6 stored concepts / 0 canonical semantic relationships

Concept types
Design Principles
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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 meta-design requirements and six design principles 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"
  ]
}