Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Lean supply chain performance measurement

Lean supply chain performance measurement Purpose – The purpose of this paper is to present supply chain metrics and to propose a fuzzy‐based performance evaluation method for lean supply chain. Design/methodology/approach – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations. Findings – Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies. Research limitations/implications – The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low‐price products. Practical implications – By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly. Originality/value – This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Productivity and Performance Management Emerald Publishing

Lean supply chain performance measurement

Download PDF
25 pages

Loading next page...
 
/lp/emerald-publishing/lean-supply-chain-performance-measurement-U2ZNzB00w5
Publisher
Emerald Publishing
Copyright
Copyright © 2014 Emerald Group Publishing Limited. All rights reserved.
ISSN
1741-0401
DOI
10.1108/IJPPM-05-2013-0092
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to present supply chain metrics and to propose a fuzzy‐based performance evaluation method for lean supply chain. Design/methodology/approach – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations. Findings – Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies. Research limitations/implications – The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low‐price products. Practical implications – By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly. Originality/value – This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.

Journal

International Journal of Productivity and Performance Management – Emerald Publishing

Published: Jun 3, 2014

Keywords: Lean supply chain; Supply chain metrics; Fuzzy‐based evaluation method

References

  • Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study
    Abdulmaleka, F.A.; Rajgopal, J.
  • Fuzzy performance measurement of a supply chain in manufacturing companies
    Adel, E.‐B.
  • Modeling the metrics of lean, agile and leagile supply chain: an ANP‐based approach
    Agarwal, A.; Shankar, R.; Tiwari, M.K.
  • A weighted max‐min model for fuzzy multi‐objective supplier selection in a supply chain
    Amid, A.; Ghodsypour, S.H.; O'brien, C.
  • Supply chain coordination: perspectives, empirical studies and research directions
    Arshinder, K.; Arun, K.; Deshmukh, S.G.
  • A fuzzy multi criteria approach for evaluating environmental performance of suppliers
    Awasthi, A.; Chauhan, S.; Goyal, S.K.
  • Measuring the leanness of manufacturing systems – a case study of ford motor company and general motors
    Bayou, M.E.; de Korvin, A.
  • Measuring supply chain performance
    Beamon, B.M.
  • Lean performance evaluation of manufacturing systems: a dynamic and innovative approach
    Behrouzi, F.; Wong, K.Y.
  • A fuzzy‐based model to measure supplier performance with lean attributes
    Behrouzi, F.; Wong, K.Y.; Kuah, C.T.
  • A fuzzy approach for supplier evaluation and selection in supply chain management
    Chen, C.T.; Lin, C.T.; Huang, S.F.
  • Performance measurement systems in supply chains – a framework for contextual analysis
    Cuthbertson, R; Piotrowicz, W.
  • Performance measurement systems, competitive priorities, and advanced manufacturing technology
    Díaz, M.S.; Gil, M.J.A.; Machuca, J.A.D.
  • Study on the supplier evaluation index system of lean supply chain
    Florent, T.M.; Zhen, H.
  • Lean manufacturing, non‐financial performance measures, and financial performance
    Fullerton, R.R.; Wempe, W.F.
  • A fuzzy logic approach to supply chain performance management
    Ganga, G.M.D.; Carpinetti, L.C.R.
  • Performance measurement practices in manufacturing firms revisited
    Gomes, C.F.; Yasin, M.M.; Lisboa, J.V.
  • Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995‐2004) for research and applications
    Gunasekaran, A.; Kobu, B.
  • A framework for supply chain performance measurement
    Gunasekaran, A.; Patel, C.; McGayghey, R.E.
  • Performance measures and metrics in a supply chain environment
    Gunasekaran, A.; Patel, C.; Tirtiroglu, E.
  • Defining and measuring alignment in performance management
    Hanson, J.D.; Melnyk, S.A.; Calantonr, R.A.
  • Multi‐criteria decision making approaches for supplier evaluation and selection: a literature review
    Ho, W.; Xu, X.; Dey, P.K.
  • The extended enterprise – a context for manufacturing
    Jagdev, H.S.; Browne, J.
  • Methodical approach to increase productivity and reduce lead time in assembly and production‐logistic processes
    Kuhlang, P.; Edtmayr, T.; Sihn, W.
  • Combining scoring method and fuzzy expert systems approach to supplier assessment: a case study
    Kwong, C.K.; Ip, W.H.; Chan, J.W.K.
  • Squaring lean supply with supply chain management
    Lamming, R.
  • Linking SCOR planning practices to supply chain performance: an exploratory study
    Lockamy, A.; McCormack, K.
  • Applications of fuzzy algorithms for control of simple dynamic plant
    Mamdani, E.H.
  • Supply network performance measurement: future challenges?
    Morgan, C.
  • On leanness, agility and leagile supply chains
    Naim, M.; Gosling, J.
  • Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies
    Najmi, A.; Makui, A.
  • Performance measurement system design: a literature review and research agenda
    Neely, A.; Gregory, M.; Platts, K.
  • Performance simulation of supply chain design
    Persson, F.; Olhager, J.
  • A comparative analysis of management accounting systems on lean implementation
    Ramasamy, K.
  • Learning to See – Value Stream Mapping to Create Value and Eliminate Muda Version 1.2
    Rother, M.; Shook, J.
  • Managing supply chains for competitiveness
    Sahay, B.S.; Gupta, J.N.D.; Mohan, R.
  • Evaluation of supplier capability and performance: a method for supply base reduction
    Sarkar, A.; Mohapatra, P.K.J.
  • Japanese production management: an evolution with mixed success
    Schonberger, R.J.
  • Lean manufacturing: context, practice bundles, and performance
    Shah, R.; Ward, P.T.
  • Measuring supply chain performance: current research and future directions
    Shepherd, C.; Günter, H.
  • The strategic fit between ‘competitive strategy’ and ‘supply chain strategy’ in Indian manufacturing industry: an empirical approach
    Soni, G.; Kodali, R.
  • Measuring leanness of manufacturing systems and identifying leanness target by considering agility
    Wan, H.‐d.
  • Assessment of supplier performance based on product‐development strategy by applying multi‐granularity linguistic term sets
    Wang, S.Y.; Chang, S.L.; Wang, R.C.
  • A two‐stage fuzzy‐AHP model for risk assessment of implementing green initiatives in the fashion supply chain
    Wang, X.; Chan, H.K.; Yee, R.W.Y.; Rainey, I.D.
  • The Machine that Changed the World
    Womack, J.P.; Jones, D.T.; Ross, D.
  • A survey of the application of fuzzy set theory in production and operations management: 1998‐2009
    Wong, B.K.; Lai, V.S.
  • Fuzzy set
    Zadeh, L.A.
  • Food supply chain leanness using a developed QFD model
    Zarei, M.; Fakhrzad, M.B.; Paghaleh, M.J.
  • Fuzzy Set Theory and Its Applications
    Zimmermann, H.J.