Aligning Supply Chain Strategies with Product Uncertainties

By H.L. Lee. IEEE Engineering Management Review, 2002

1,492 citations recorded by the source corpus.

Subfields: Management Information Systems, Management of Technology and Innovation, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/a5a9b5f58e638548ef223c44cc9108ec0d2f85dd

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Citations in the corpus

Revisit of AAA Excellence of Global Value Chains: Robustness, Resilience, and Realignment (2020, neutral): “For innovative products, the usually planned responsive (for stable supply) and agile (for evolving supply) chains for them (see Lee (2002) have incorporated redundancy in capacity and inventories to address potential demand mismatch risks.”
Supply Chain Strategies for Perishable Products: The Case of Fresh Produce (2009, background): “Lee (2002) expands upon Fisher’s taxonomy by suggesting that the supply process could be either stable or evolving.”
Board Expertise: Do Directors from Related Industries Help Bridge the Information Gap? (2014, neutral): “DRIs’ expertise can be especially helpful in certain industries, say innovative industries, which face a highly unpredictable demand and unreliable supply (Lee 2002).”
The impact of supply chain structure on the use of supplier socially responsible practices (2010, background): “What used to be hidden years ago behind long distances and language differences has become quite visible via 24-hour cable news and videos that are captured using cell phones – not unlike the enhanced ability of companies to capture information about their suppliers ( Lee, 2002”
Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach (2006, background): “‘‘Agility’’ is needed in less predictable environments where demand is volatile and the requirement for variety is high (Lee, 2002).”
Demand Forecasting in the Fashion Industry: A Review (2013, neutral): “Analysis of the products Many authors [22, 23] agree on characteristics typically exhibited by products in the fashion industry.”
Reconfigurable supply chain: the X-network (2020, neutral): “Naylor et al. (1999), Christopher and Towill (2000), Lee (2002, 2004 First, data analytics became one of the major determinants in decision-making support in such areas as demand forecasting, inventory management and transportation.”
Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities (2006, background): “We caution that a limited focus on optimization of operational costs without regard to building in buffers for demand and supply uncertainty can have detrimental consequences on service levels and response times (Lee 2002).”
Linkages between firm innovation strategy, suppliers, product innovation, and business performance: Insights from resource dependence theory (2017, background): “The development of innovative products requires the alignment of supply functions which results from collaborative, long-term buyer-supplier relationships (Lee, 2002).”
Integrating the Supply Chain … 25 years on (2016, background): “uncertainty associated with the naturally occurring unstable state of the supply chain (Lee, 2002).”