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Applying selected quality management techniques to diagnose delivery time variability

Applying selected quality management techniques to diagnose delivery time variability Purpose – This research seeks to identify and apply techniques that can be used in a supply chain context to diagnose the causes of variability in delivery lead time. Design/methodology/approach – A literature review was conducted and a number of quality management (QM), techniques were selected as candidates for diagnosing delivery time variability. A case study of the application of these techniques is provided on the UK‐based defence supply chain that supported UK operations in the Iraq war of 2003. Findings – Candidate QM techniques for diagnosing delivery time variability were identified, namely: Process Chart; Histogram; Failure Mode and Effect Analysis; and Cause and Effect Analysis. These techniques were successful in enabling the diagnosis of the causes of delivery time variability in the context of the case study investigated. Practical implications – The work illustrates how QM techniques can be employed to address issues with supply chains, not least with regard to the important problem of variability in delivery leadtime. In practice, this highlights benefits that result to practitioners in order to improve the performance of operations in a dynamic setting, such as the defence supply chain studied here. Originality/value – This work has value in presenting the findings of an in‐depth case study on the application of QM techniques in a multi‐echelon supply chain setting. It is also original in employing the FMEA technique together with an end‐customer perspective to assess the effect of failure modes in operations across a supply chain. FMEA also provided the means to examine supply chain risk, thus providing a research instrument for deploying risk as a lens. The application of QM techniques in this novel setting provides support for their application beyond the conventional setting of internal operations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Applying selected quality management techniques to diagnose delivery time variability

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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656711111172568
Publisher site
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Abstract

Purpose – This research seeks to identify and apply techniques that can be used in a supply chain context to diagnose the causes of variability in delivery lead time. Design/methodology/approach – A literature review was conducted and a number of quality management (QM), techniques were selected as candidates for diagnosing delivery time variability. A case study of the application of these techniques is provided on the UK‐based defence supply chain that supported UK operations in the Iraq war of 2003. Findings – Candidate QM techniques for diagnosing delivery time variability were identified, namely: Process Chart; Histogram; Failure Mode and Effect Analysis; and Cause and Effect Analysis. These techniques were successful in enabling the diagnosis of the causes of delivery time variability in the context of the case study investigated. Practical implications – The work illustrates how QM techniques can be employed to address issues with supply chains, not least with regard to the important problem of variability in delivery leadtime. In practice, this highlights benefits that result to practitioners in order to improve the performance of operations in a dynamic setting, such as the defence supply chain studied here. Originality/value – This work has value in presenting the findings of an in‐depth case study on the application of QM techniques in a multi‐echelon supply chain setting. It is also original in employing the FMEA technique together with an end‐customer perspective to assess the effect of failure modes in operations across a supply chain. FMEA also provided the means to examine supply chain risk, thus providing a research instrument for deploying risk as a lens. The application of QM techniques in this novel setting provides support for their application beyond the conventional setting of internal operations.

Journal

International Journal of Quality & Reliability Management – Emerald Publishing

Published: Oct 11, 2011

Keywords: Lead times; Failure Mode and Effect Analysis; Quality Management; Defence supply chain; United Kingdom

References

  • Integrated logistics planning for the air and space expeditionary force
    Amouzegar, M.A.; Tripp, R.S.; Galway, L.A.
  • Guru guide
    Anonymous
  • The cost of being landlocked: logistics costs and supply chain reliability
    Arvis, J‐F.; Raballand, G.; Marteau, J‐F.
  • Connecting to Compete: Trade Logistics in the Global Economy
    Arvis, J‐F.; Mustra, M.A.; Ojala, L.; Shepherd, B.; Saslavsky, D.
  • Total quality management in an automotive supply chain in the United States
    Bandyopadhyay, J.K.; Spague, D.A.
  • A practical way to shrink shrinkage
    Beck, A.; Chapman, P.; Peacock, C.
  • A revised failure modes and effects analysis model
    Ben‐Daya, M.; Raouf, R.
  • The Lean Toolbox
    Bicheno, J.
  • Supply Chain Vulnerability
    Chapman, P.; Christopher, M.; Juttner, U.; Peck, H.; Wilding, R.
  • Supply chain management in the US and Taiwan: an empirical study
    Chow, W.S.; Madu, C.N.; Kuei, C‐H.; Lu, M.H.; Lin, C.; Tseng, H.
  • Logistics and Supply Chain Management
    Christopher, M.
  • Mitigating supply chain risk through improved confidence
    Christopher, M.; Lee, H.
  • Cost and delivery time implications of freight consolidation and warehousing strategies
    Cooper, M.
  • Supply chain management: more than a new name for logistics
    Cooper, M.C.; Lambert, D.M.; Pagh, J.D.
  • Quality Is Free
    Crosby, P.B.
  • Extending the enterprise: linking supply with demand
    Dail, R.T.
  • The use of quality management techniques and tools: an examination of some key issues
    Dale, B.; Boaden, R.; Wilcox, M.; McQuater, R.
  • Smart Distribution
    Defence Logistic Organisation
  • Management's new paradigms
    Drucker, P.F.
  • Building theories from case study research
    Eisenhardt, K.M.
  • Theory building from cases: opportunities and challenges
    Eisenhardt, K.M.; Graebner, M.E.
  • Logistics and marketing components of customer service
    Emerson, C.; Grimm, C.
  • The impact of ‘soft’ and ‘hard’ TQM elements on quality management results
    Fotopoulos, C.B.; Psomas, E.L.
  • Strategic Supply Chain Alignment: Best Practice in Supply Chain Management
    Gattorna, J.
  • Canadian forces global reach support hubs: facility location and aircraft routing models
    Ghanmi, A.
  • Modelling failure modes and effects analysis
    Gilchrist, W.
  • Research Methods for Managers
    Gill, J.; Johnson, P.
  • Profit from Time: Speed up Business Improvement by Implementing Time Compression
    Gregory, I.C.; Rawling, S.
  • Influencing a supplier using delivery windows: its effect on the variance of flow time and on‐time delivery
    Grout, J.
  • Total quality management in the small business environment
    Haksever, C.
  • Logistics Management and Strategy: Competing through the Supply Chain
    Harrison, A.; van Hoek, R.
  • Business Research: A Practical Guide for Undergraduate and Postgraduate Students
    Hussey, J.; Hussey, R.
  • The effects of information system architecture and process improvements on supply‐chain time performance
    Jayaram, J.; Vickery, S.K.; Droge, C.
  • The effect of quality management on the service quality and business success of logistics service providers
    Kersten, W.; Koch, J.
  • A conceptual model for the application of Six Sigma methodologies to supply chain improvement
    Knowles, G.; Whicker, L.; Femat, J.H.; Canales, F.C.
  • Identifying critical success factors for supply chain quality management
    Kuei, C.; Madu, C.N.
  • Implementing supply chain quality management
    Kuei, C‐H.; Madu, C.N.; Lin, C.
  • An evaluation of process‐oriented supply chain management frameworks
    Lambert, D.M.; Garcia‐Dastugue, S.; Croxton, K.L.
  • The role of logistics managers in the cross‐functional implementation of supply chain management
    Lambert, D.M.; Garcia‐Dastugue, S.J.; Croxton, K.L.
  • Measuring customer service in distribution
    Livingstone, G.
  • The Basics of FMEA
    McDermott, R.E.; Mikulak, R.J.; Beauregard, M.R.
  • Report on process analysis techniques
    Maull, R.S.; Childe, S.J.; Bennett, J.; Weaver, A.M.; Smart, A.
  • JSP336 Defence Supply Chain Manual
    Ministry of Defence
  • Operation TELIC‐ Joint Force Logistic Component
    Ministry of Defence
  • Speed kills: supply chain lessons from the war in Iraq
    Morales, D.K.; Gehry, S.
  • System‐oriented supply chain risk management
    Oehmen, J.; Ziegenbein, A.; Alard, R.; Schönsleben, P.
  • A methodology to reduce aerospace ground equipment requirements for an air expeditionary force
    O'Fearna, F.C.; Hill, R.; Miller, J.O.
  • Failures Mode and Effects Analysis
    Palady, P.
  • A flowchart‐based methodology for process improvement
    Prasad, B.; Strand, N.
  • Supply chain interactions and time‐related performances. An operations management perspective
    Salvador, F.; Forza, C.; Rungtusanatham, M.; Choi, T.Y.
  • Risk assessment for the security of inbound containers at US ports: a failure, mode, effects, and criticality analysis approach
    Sameer, K.; Verruso, J.
  • The collaborative supply chain
    Simatupang, T.M.; Sridharan, R.
  • Quality of customer service in supply chain system: a diagnostic study
    Sinha, R.K.; Subash Babu, A.
  • European logistics beyond 2000
    Skjoett‐Larsen, T.
  • Operations Management
    Slack, N.; Chambers, S.; Johnston, R.
  • Specification of a Business Process Re‐engineering Methodology for Small and Medium‐sized Manufacturing Enterprises
    Smart, A.; Maull, R.; Childe, S.; Bennett, J.; Weaver, A.
  • The mandate to revolutionize military logistics
    Smith, B.E.
  • Effective case research in operations management: a process perspective
    Stuart, I.; McCutcheon, D.; Handfield, R.; McLachlin, R.; Samson, D.
  • Customer‐focused built‐in reliability: a case study
    Tan, C.M.
  • Achieving world‐class supplier quality
    Trent, R.J.; Monczka, R.M.
  • Case research in operations management
    Voss, C.; Tsikriktsis, N.; Frohlich, M.
  • Case Study Research: Design and Methods
    Yin, R.K.