Dear Sir/Madam,
To assist our research into best practices in forecasting, please participate in the following survey:
By taking part you will receive a copy of the findings, with valuable insights into:
· Forecasting best practices in Supply Chain Forecasting (overall and by industry)
· Benchmarks in Forecasting accuracy (overall and by industry)
The survey will take between 20-30 minutes depending on your forecasting setup; it is possible to pause and complete it at a later point. To start taking the survey visit:
www.supplychainforecasting.co.uk.
The research is not for commercial purposes and all responses will be treated in the strictest confidence. Further information about the study is given at the end of this message. If you have any additional questions please do not hesitate to contact me at: [log in to unmask]
Kind regards
Matt Weller
PhD Candidate in Management Science
About the organisers:
The study forms part of my PhD at Lancaster University under Dr Sven Crone and Professor Robert Fildes. The Lancaster Centre for Forecasting hosts a number of different research interests, past and current research grants, applied research projects with companies and PhD students in the area of Forecasting for Supply Chain Management. For a detailed description visit our website: www.lums.lancs.ac.uk/forecasting
About the research: The increased volatility and competitiveness of today’s market has led firms to engage in practices such as VMI, CPFR, S&OP and information-sharing in order to improve forecast accuracy. However, knowing how and when to collaborate with downstream partners remains a challenge. We aim to address some of the open questions in this area, initially through a web-based survey of forecasters & demand planners.
To be more specific, we are focusing on the following research questions: (a) What types of information are available to forecasters? (b) How are they using this information, if at all, in their forecasting process? Through statistical methods and/or judgement?, and (c) How do forecasters cope with different data conditions and forecasting requirements of different customers?
In a later phase, we look to test alternative methods of using downstream data in the statistical forecasting process and compare accuracy against established benchmark methods. Further details about the study are available on request from Matt Weller (see above for contact details).
________________________________________
Matt Weller
PhD Candidate in Management Science
Lancaster Research Centre for Forecasting
Department of Management Science
Lancaster University Management School
Lancaster LA1 4YX, United Kingdom
Tel : +44 (7788) 456416 (mobile)
Email: [log in to unmask]
Web: www.lums.lancs.ac.uk/forecasting
LinkedIn: http://www.linkedin.com/profile/view?id=59402458
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