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Virginia L M Spiegler
Virginia L M Spiegler
Reader of Operations and Supply Chain Management, University of Kent
Verified email at kent.ac.uk - Homepage
Title
Cited by
Cited by
Year
Big data analytics in supply chain management: A state-of-the-art literature review
T Nguyen, Z Li, V Spiegler, P Ieromonachou, Y Lin
Computers & operations research 98, 254-264, 2018
6002018
A control engineering approach to the assessment of supply chain resilience
VLM Spiegler, MM Naim, J Wikner
International journal of production research 50 (21), 6162-6187, 2012
3912012
Developing a resilient supply chain strategy during ‘boom’and ‘bust’
L Purvis, S Spall, M Naim, V Spiegler
Production Planning & Control 27 (7-8), 579-590, 2016
2042016
The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain
VLM Spiegler, AT Potter, MM Naim, DR Towill
International Journal of Production Research 54 (1), 265-286, 2016
982016
Identifying the causes of the bullwhip effect by exploiting control block diagram manipulation with analogical reasoning
MM Naim, VL Spiegler, J Wikner, DR Towill
European Journal of Operational Research 263 (1), 240-246, 2017
562017
A technique to develop simplified and linearised models of complex dynamic supply chain systems
VLM Spiegler, MM Naim, DR Towill, J Wikner
European Journal of Operational Research 251 (3), 888-903, 2016
552016
Dynamic analysis and design of a semiconductor supply chain: a control engineering approach
J Lin, VLM Spiegler, MM Naim
International Journal of Production Research 56 (13), 4585-4611, 2018
472018
Investigating sustained oscillations in nonlinear production and inventory control models
VLM Spiegler, MM Naim
European Journal of Operational Research 261 (2), 572-583, 2017
382017
Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach
A Mohammed, B Naghshineh, V Spiegler, H Carvalho
Computers & Industrial Engineering 160, 107589, 2021
342021
IOBPCS based models and decoupling thinking
J Wikner, MM Naim, VLM Spiegler, J Lin
International Journal of Production Economics 194, 153-166, 2017
292017
The impact of freight transport capacity limitations on supply chain dynamics
VLM Spiegler, MM Naim
International Journal of Logistics Research and Applications 17 (1), 64-88, 2014
292014
Push or Pull? The impact of ordering policy choice on the dynamics of a hybrid closed-loop supply chain
J Lin, L Zhou, VLM Spiegler, MM Naim, A Syntetos
European Journal of Operational Research 300 (1), 282-295, 2022
252022
The supply chain integration–Supply chain sustainability relationship in the UK and Ghana pharmaceutical industry: A stakeholder and contingency perspective
F Donkor, T Papadopoulos, V Spiegler
Transportation Research Part E: Logistics and Transportation Review 155, 102477, 2021
242021
Delivery time dynamics in an assemble-to-order inventory and order based production control system
J Lin, MM Naim, VLM Spiegler
International Journal of Production Economics 223, 107531, 2020
242020
Improving demand forecasting in the air cargo handling industry: a case study
U Magaña, SA Mansouri, VLM Spiegler
International Journal of Logistics Research and Applications 20 (4), 359-380, 2017
162017
Designing supply chains resilient to nonlinear system dynamics
VLM Spiegler
Cardiff University, 2013
122013
Exploring the potential of blockchain-enabled lean automation in supply chain management: a systematic literature review, classification taxonomy, and future research agenda
A Jackson, VLM Spiegler, K Kotiadis
Production Planning & Control, 1-20, 2023
82023
Socially responsible purchasing practices and supply chain performance in the food and beverage industry
T Ogunyemi, A Ayios, VLM Spiegler
62016
Supply chain integration and supply chain sustainability relationship: A qualitative analysis of the UK and Ghana pharmaceutical industry
F Donkor, T Papadopoulos, V Spiegler
Production Planning & Control, 1-24, 2022
52022
A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge
R Kaya, S Salhi, V Spiegler
Annals of Operations Research 320 (1), 205-234, 2023
42023
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