John E. Boylan

Orcid: 0000-0001-5036-5137

According to our database1, John E. Boylan authored at least 27 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
<i>Journal of the Operational Research Society</i> (JORS): The last 40 years.
J. Oper. Res. Soc., February, 2024

2023
Operational Research in times of crisis: Experiences with COVID-19.
J. Oper. Res. Soc., February, 2023

A new taxonomy for vector exponential smoothing and its application to seasonal time series.
Eur. J. Oper. Res., 2023

2022
Demand forecasting in supply chains: a review of aggregation and hierarchical approaches.
Int. J. Prod. Res., 2022

2021
Editorial.
J. Oper. Res. Soc., 2021

2020
State-space ARIMA for supply-chain forecasting.
Int. J. Prod. Res., 2020

The impact of demand parameter uncertainty on the bullwhip effect.
Eur. J. Oper. Res., 2020

Forecasting: theory and practice.
CoRR, 2020

2019
The impact of temporal aggregation on supply chains with ARMA(1, 1) demand processes.
Eur. J. Oper. Res., 2019

2018
OR in spare parts management: A review.
Eur. J. Oper. Res., 2018

2017
Supply chain forecasting when information is not shared.
Eur. J. Oper. Res., 2017

2016
Supply chain forecasting: Theory, practice, their gap and the future.
Eur. J. Oper. Res., 2016

2014
Formation of seasonal groups and application of seasonal indices.
J. Oper. Res. Soc., 2014

Water leakage forecasting: the application of a modified fuzzy evolving algorithm.
Appl. Soft Comput., 2014

2011
Judgement and supply chain dynamics.
J. Oper. Res. Soc., 2011

Supply chain forecasting and planning.
J. Oper. Res. Soc., 2011

An aggregate-disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis.
J. Oper. Res. Soc., 2011

Feasibility principles for Downstream Demand Inference in supply chains.
J. Oper. Res. Soc., 2011

2009
Forecasting for inventory planning: a 50-year review.
J. Oper. Res. Soc., 2009

2008
Classification for forecasting and stock control: a case study.
J. Oper. Res. Soc., 2008

2007
Use of individual and group seasonal indices in subaggregate demand forecasting.
J. Oper. Res. Soc., 2007

2006
Reply to Kostenko and Hyndman.
J. Oper. Res. Soc., 2006

Forecasting for intermittent demand: the estimation of an unbiased average.
J. Oper. Res. Soc., 2006

2005
On the categorization of demand patterns.
J. Oper. Res. Soc., 2005

2003
An examination of the size of orders from customers, their characterisation and the implications for inventory control of slow moving items.
J. Oper. Res. Soc., 2003

Optimality and robustness of combinations of moving averages.
J. Oper. Res. Soc., 2003

1999
A robust forecasting system, based on the combination of two simple moving averages.
J. Oper. Res. Soc., 1999


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