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Development And Validation Of A Rule-Based Time Series Complexity Scoring Technique To Support Design Of Adaptive Forecasting Dss, Monica Adya, Edward J. Lusk
Development And Validation Of A Rule-Based Time Series Complexity Scoring Technique To Support Design Of Adaptive Forecasting Dss, Monica Adya, Edward J. Lusk
Management Faculty Research and Publications
Evidence from forecasting research gives reason to believe that understanding time series complexity can enable design of adaptive forecasting decision support systems (FDSSs) to positively support forecasting behaviors and accuracy of outcomes. Yet, such FDSS design capabilities have not been formally explored because there exists no systematic approach to identifying series complexity. This study describes the development and validation of a rule-based complexity scoring technique (CST) that generates a complexity score for time series using 12 rules that rely on 14 features of series. The rule-based schema was developed on 74 series and validated on 52 holdback series using well-accepted …
Exploring The Experiences Of Collaborative Planning Initiatives, Mark Barratt, Alexander Oliveira
Exploring The Experiences Of Collaborative Planning Initiatives, Mark Barratt, Alexander Oliveira
Management Faculty Research and Publications
Supply chain integration (or synchronisation) is to a large extent still only a promise, despite many considerable efforts by organisations and their customers and suppliers. Lack of visibility of true consumer demand and collaborative relationships based upon joint decision making remain significant barriers to the goal of supply chain integration. Collaborative planning, forecasting and replenishment (CPFR) is a strategy which promises to overcome these barriers, and seeks through joint planning, joint decision making and the development of a clearer understanding of the dynamics of the supply chain replenishment process to deliver some of the promised benefits of actual supply chain …