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PARC Institute of Manufacturing, Logistics and Inventory

Publications

Our publications reflect the Centre's aim to generate rigorous and relevant academic research, advancing knowledge in manufacturing and logistics.

Industry insights

We work with leading experts in industry to look at what the future holds for the sector.

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Industry insights

A series of reports looking at the future of manufacturing, supply chains and logistics.

Published books available for purchase

Intermittent Demand Forecasting

Book cover

Intermittent Demand Forecasting, by Professor John Boylan, Lancaster University, and Professor Aris Syntetos, Cardiff University, is the first ever text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting.

This new book by two leading UK academic experts aims to help practitioners better understand demand forecasting and inventory management, bringing leaner, greener benefits to global logistics.

Published by Wiley, Intermittent Demand Forecasting discusses how success should be measured in the context of managing inventories and supply chains and explains key forecasting methods through worked examples and illustrations.

Intermittent Demand Forecasting by John E. Boylan and Aris A. Syntetos is available from Wiley. ISBN: 978-1-119-13530-2 June 2021 400 Pages

Intermittent Demand Forecasting: Would you invest? - YouTube

Contemporary Operations

Contemporary Operations

Contemporary Operations and Logistics - Achieving Excellence in Turbulent Times

Edited by Professor Peter Wells, 'Contemporary Operations and Logistics' contains all the latest research on logistics issues, from topics such as how 3DP will affect the logistics industry to the future of zero carbon logistics.

The chapters were written by leading members of the Logistics and Operations Management section of Cardiff Business School with input and insight from the PARC industry team.

You can purchase the book from the link above, or via Amazon.

Selected recent papers

Some recent research papers can be found below by clicking on the relevant area of interest.

Prak, D.et al. 2021. Robust compound Poisson parameter estimation for inventory control. Omega 104, article number: 102481. (10.1016/j.omega.2021.102481)

Babai, Z.et al. 2021. Forecasting of lead-time demand variance: implications for safety stock calculations. European Journal of Operational Research (10.1016/j.ejor.2021.04.017)

Rekik, Yacine, Syntetos, Argyrios and Glock, Christoph 2019. Modelling (and learning from) inventory inaccuracies in e-retailing/B2B contexts. Decision Sciences 10.1111/deci.12367

Rostami-Tabar, B.et al. 2021. Forecasting for social good. International Journal of Forecasting (10.1016/j.ijforecast.2021.02.010)

Goltsos, Thanos E., Syntetos, Aris A. and van der Laan, Erwin 2019. Forecasting for remanufacturing: The effects of serialization. Journal of Operations Management , -. 10.1002/joom.1031

Syntetos, A., Eyers, D., Watson, D. and Ren, X. 2021. Global or local ?: Insights from 10 companies into the long term impact of COVID19 on global supply chains. 1st ed. [pdf] Cardiff: DSV and PARC Institute, pp.1-20. Available at: https://docs.dsv.com/group/corporate-marketing-and-communication/global-or-local-covid-19/?page=10

Eyers, D. R., Potter, A. T., Gosling, J., and Naim, M. M. 2018. The flexibility of industrial additive manufacturing systems. International Journal of Operations and Production Management 38(12), pp. 2313-2343. (10.1108/IJOPM-04-2016-0200)

Hedenstierna, C.P.T., Disney, Stephen, Eyers, Daniel, Holmstrom, J., Syntetos, A. and Wang, Xun 2019. Economies of collaboration in build-to-model operations. Journal of Operations Management 10.1002/joom.1014

Reynders, P., Kumar, M. and Found, P. 2020. 'Lean on me': an integrative literature review on the middle management role in lean. Total Quality Management and Business Excellence (10.1080/14783363.2020.1842729)

Chen, C., Demir, E. and Huang, Y. 2021. An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots. European Journal of Operational Research 294(3), pp. 1164-1180. (10.1016/j.ejor.2021.02.027)

Masmoudi, M. A.et al. 2020. Hybrid adaptive large neighborhood search algorithm for the mixed fleet heterogeneous dial-a-ride problem. Journal of Heuristics 26(1), pp. 83-118. (10.1007/s10732-019-09424-x)

Ghiami, Y.et al. 2019. A deteriorating inventory routing problem for an inland liquefied natural gas distribution network. Transportation Research Part B: Methodological 126, pp. 45-67. (10.1016/j.trb.2019.05.014)

Ponte, B.et al. 2021. Quality grading of returns and the dynamics of remanufacturing. International Journal of Production Economics 236, article number: 108129. (10.1016/j.ijpe.2021.108129)

Goltsos, T. E.et al. 2019. The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems. International Journal of Production Research 57(23), pp. 7361-7394. (10.1080/00207543.2018.1510191)