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Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty
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Constrained model predictive control: Stability and optimality
Mayne, D. Q., Rawlings, J. B., Rao, C. V., & Scokaert, P. O. M. (2000) · Automatica · doi:10.1016/s0005-1098(99)00214-9 · Cited by 8,736
An introduction to cybernetics
Ashby, W. R. (1956) · doi:10.5962/bhl.title.5851 · Cited by 7,578
Research works printed but not linked: 83
- Acar, 2010, A decision support framework for global supply chain modelling: an assessment of the impact of demand, supply and lead-time uncertainties on performance, International Journal of Production Research, 48, 3245, 10.1080/00207540902791769 · doi:10.1080/00207540902791769
- Archipov, 2011, An entropy-based approach to simultaneous analysis of supply chain structural complexity and adaptation potential, International Journal of Shipping and Transport Logistics, 3, 180, 10.1504/IJSTL.2011.039378 · doi:10.1504/ijstl.2011.039378
- Arreola-Risa, 2011, Optimizing stochastic production inventory systems: a heuristic based on simulation and regression analysis, European Journal of Operational Research, 213, 107, 10.1016/j.ejor.2011.02.031 · doi:10.1016/j.ejor.2011.02.031
- Barlas, 2011, Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains, Journal of Operational Research Society, 62, 458, 10.1057/jors.2010.188 · doi:10.1057/jors.2010.188
- Beamon, 1999, Measuring supply chain performance, International Journal of Operations and Production Management, 19, 275, 10.1108/01443579910249714 · DOI · Paper page
- Bensoussan, 2007, Optimal ordering policies for inventory problems with dynamic information delays, Production & Operations Management, 16, 241, 10.1111/j.1937-5956.2007.tb00178.x · doi:10.1111/j.1937-5956.2007.tb00178.x
- Bertsimas, 2004, Price of robustness, Operations Research, 52, 35, 10.1287/opre.1030.0065 · DOI · Paper page
- Braun, 2003, A model predictive control framework for robust management of multi-product, multi-echelon demand networks, Annual Reviews in Control, 27, 229, 10.1016/j.arcontrol.2003.09.006 · doi:10.1016/j.arcontrol.2003.09.006
- Cai, 2009, Improving supply chain performance management: a systematic approach to analyzing iterative KPI accomplishment, Decision Support Systems, 46, 512, 10.1016/j.dss.2008.09.004 · DOI
- Chen, 2012, Resilience: an indicator of recovery capability in intermodal freight transport, Transportation Science, 46, 109, 10.1287/trsc.1110.0376 · DOI · Paper page
- Closs, 2008, Supply chain security: a framework for protecting your supply chain, Logistics Management, 9
- Coronado, 2007, Evaluating operations flexibility in industrial supply chains to support build-to-order initiatives, Business Process Management Journal, 13, 572, 10.1108/14637150710763586 · doi:10.1108/14637150710763586
- Craighead, 2007, The severity of supply chain disruptions: design characteristics and mitigation capabilities, Decision Sciences, 38, 131, 10.1111/j.1540-5915.2007.00151.x · DOI · Paper page
- Daganzo, 2004, On the stability of supply chains, Operations Research, 52, 909, 10.1287/opre.1040.0147 · doi:10.1287/opre.1040.0147
- Das, 2011, Integrating effective flexibility measures into a strategic supply chain planning model, European Journal of Operational Research, 211, 170, 10.1016/j.ejor.2010.12.006 · DOI
- Datta, 2011, Information sharing and coordination mechanisms for managing uncertainty in supply chains: a simulation study, International Journal of Production Research, 49, 765, 10.1080/00207540903460216 · DOI · Paper page
- Dejonckheere, 2004, The impact of information enrichment on the bullwhip effect in supply chains: a control engineering perspective, European Journal of Operational Research, 153, 727, 10.1016/S0377-2217(02)00808-1 · DOI · Paper page
- Di Giacomo, 2010, Methodological analysis of supply chains management applications, European Journal of Operational Research, 207, 249, 10.1016/j.ejor.2010.05.003 · DOI
- Disney, 2002, A discrete linear control theory model to determine the dynamic stability of vendor managed inventory supply chains, International Journal of Production Research, 40, 179, 10.1080/00207540110072975 · doi:10.1080/00207540110072975
- Disney, 2006, Taming the bullwhip effect whilst watching customer service in a single echelon of a supply chain, European Journal of Operational Research, 173, 151, 10.1016/j.ejor.2005.01.026 · doi:10.1016/j.ejor.2005.01.026
- Doerner, 2011, Special issue on optimization in disaster relief, OR Spectrum, 33, 7, 10.1007/s00291-011-0262-3 · doi:10.1007/s00291-011-0262-3
- Dolgui, 2007, Supply planning under uncertainties in MRP environments: a state of the art, Annual Reviews in Control, 31, 269, 10.1016/j.arcontrol.2007.02.007 · doi:10.1016/j.arcontrol.2007.02.007
- Georgiadis, 2010, The impact of two-product joint lifecycles on capacity planning of remanufacturing networks, European Journal of Operational Research, 202, 420, 10.1016/j.ejor.2009.05.022 · doi:10.1016/j.ejor.2009.05.022
- Graves, 2008, Strategic inventory placement in supply chains: non-stationary demand, Manufacturing and Service Operations Management, 10, 278, 10.1287/msom.1070.0175 · doi:10.1287/msom.1070.0175
- Gunasekaran, 2008, Responsive supply chain: a competitive strategy in a networked economy, Omega, 36, 549, 10.1016/j.omega.2006.12.002 · DOI · Paper page
- Hendricks, 2005, Association between supply chain glitches and operating performance, Management Science, 51, 695, 10.1287/mnsc.1040.0353 · DOI · Paper page
- Hennet, 2008, Supply chain coordination: a game-theory approach, Engineering Applications of Artificial Intelligence, 21, 399, 10.1016/j.engappai.2007.10.003 · doi:10.1016/j.engappai.2007.10.003
- Hoberg, 2007, Analyzing the effect of the inventory policy on order and inventory variability with linear control theory, European Journal of Operational Research, 176, 1620, 10.1016/j.ejor.2005.10.040 · DOI
- Hwarng, 2008, Understanding supply chain dynamics: a chaos perspective, European Journal of Operational Research, 184, 1163, 10.1016/j.ejor.2006.12.014 · doi:10.1016/j.ejor.2006.12.014
- Ivanov, 2012, Dynamic supply chain scheduling, Journal of Scheduling, 15, 201, 10.1007/s10951-010-0189-6 · doi:10.1007/s10951-010-0189-6
- Ivanov, 2010, A multi-structural framework for adaptive supply chain planning and operations with structure dynamics considerations, European Journal of Operational Research, 200, 409, 10.1016/j.ejor.2009.01.002 · DOI · Paper page
- Ivanov, 2012, Applicability of optimal control theory to adaptive supply chain planning and scheduling, Annual Reviews in Control, 36, 73, 10.1016/j.arcontrol.2012.03.006 · DOI
- Jang, 2006, A flexible and adaptive control architecture for the efficient supply chain management (SCM), WSEAS Transactions on Communications, 5, 1015
- Jüttner, 2011, Supply chain resilience in the global financial crisis: an empirical study, Supply Chain Management, 16, 246, 10.1108/13598541111139062 · DOI · Paper page
- Kamath, 2007, Capacity augmentation of a supply chain for a short lifecycle product: a system dynamics framework, European Journal of Operational Research, 179, 334, 10.1016/j.ejor.2006.03.045 · doi:10.1016/j.ejor.2006.03.045
- Kauder, 2009, Strategic network planning for an international automotive manufacturer, OR Spectrum, 3, 507, 10.1007/s00291-009-0171-x · doi:10.1007/s00291-009-0171-x
- Kleindorfer, 2005, Managing disruption risks in supply chains, Production and Operations Management, 14, 53, 10.1111/j.1937-5956.2005.tb00009.x · DOI · Paper page
- Klibi, 2010, The design of robust value-creating supply chain networks: a critical review, European Journal of Operational Research, 203, 283, 10.1016/j.ejor.2009.06.011 · DOI · Paper page
- Knoppen, 2007, Interorganizational adaptation in supply chains: a behavioral perspective, International Journal of Logistics Management, 18, 217, 10.1108/09574090710816940 · DOI
- Krajewski, 2005, Responding to schedule changes in build-to-order supply chains, Journal of Operations Management, 23, 452, 10.1016/j.jom.2004.10.006 · DOI · Paper page
- Lee, 2004, The triple: a supply chain, Harvard Business Review, 82, 102
- Lee, 2011, Supply chain efficiency and security: coordination for collaborative investment in technology, European Journal of Operational Research, 210, 568, 10.1016/j.ejor.2010.10.015 · DOI · Paper page
- Lodree, 2008, An insurance risk management framework for disaster relief and supply chain disruption inventory planning, Journal of the Operational Research Society, 59, 674, 10.1057/palgrave.jors.2602377 · DOI · Paper page
- Meepetchdee, 2007, Logistical network design with robustness and complexity considerations, International Journal of Operations and Production Management, 37, 201
- Mirzapour Al-E-Hashem, 2011, A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty, International Journal of Production Economics, 134, 28, 10.1016/j.ijpe.2011.01.027 · DOI
- Mula, 2010, Mathematical programming models for supply chain production and transport planning, European Journal of Operational Research, 204, 377, 10.1016/j.ejor.2009.09.008 · DOI
- Mulani, 2002, New business models for supply chain excellence, vol. 4
- Naim, 2006, The role of transport flexibility in logistics provision, International Journal of Logistics Management, 17, 297, 10.1108/09574090610717491 · doi:10.1108/09574090610717491
- Olhager, 2003, Strategic positioning of the order penetration point, International Journal of Production Economics, 319, 10.1016/S0925-5273(03)00119-1 · DOI
- Ouyang, 2007, The effect of information sharing on supply chain stability and the bullwhip effect, European Journal of Operational Research, 182, 1107, 10.1016/j.ejor.2006.09.037 · DOI
- Ouyang, 2010, The bullwhip effect in supply chain networks, European Journal of Operational Research, 201, 799, 10.1016/j.ejor.2009.03.051 · doi:10.1016/j.ejor.2009.03.051
- Ozbayrak, 2006, Flexible and adaptable planning and control system for an MTO supply chain system, Robotics and Computer-Integrated Manufacturing, 22, 557, 10.1016/j.rcim.2005.12.011 · doi:10.1016/j.rcim.2005.12.011
- Peng, 2011, Reliable logistics networks design with facility disruptions, Transportation Research Part B: Methodological, 45, 1190, 10.1016/j.trb.2011.05.022 · DOI
- Perea, 2000, Dynamic modeling and classical control theory for supply chain management, Computers and Chemical Engineering, 24, 1143, 10.1016/S0098-1354(00)00495-6 · doi:10.1016/s0098-1354(00)00495-6
- Ponomarov, 2009, Understanding the concept of supply chain resilience, International Journal of Logistic Management, 20, 124, 10.1108/09574090910954873 · DOI · Paper page
- Puigjaner, 2008, Capturing dynamics in integrated supply chain management, Computers and Chemical Engineering, 32, :2582, 10.1016/j.compchemeng.2007.10.003 · doi:10.1016/j.compchemeng.2007.10.003
- Rosenhead, 1972, Robustness and optimality as criteria for strategic decisions, Operational Research Quarterly, 23, 413, 10.1057/jors.1972.72 · DOI · Paper page
- Samsatli, 1998, Robustness metrics for dynamic optimization models under parameter uncertainty, AIChE Journal, 44, 1993, 10.1002/aic.690440907 · doi:10.1002/aic.690440907
- Samsatli, 2001, Operational envelopes for batch processes, AIChE Journal, 47, 2277, 10.1002/aic.690471013 · DOI
- Santoso, 2005, A stochastic programming approach for supply chain network design under uncertainty, European Journal of Operational Research, 167, 96, 10.1016/j.ejor.2004.01.046 · DOI · Paper page
- Sarimveis, 2008, Dynamic modeling and control of supply chain systems: a review, Computers & Operations Research, 35, 3530, 10.1016/j.cor.2007.01.017 · DOI · Paper page
- Schmitt, A.J., 2011. Strategies for Customer Service Level Protection Under Multi-Echelon Supply Chain Disruption Risk. (Working paper.) Center for Transportation and Logistics, MIT, Cambridge, MA. SSRN:http://ssrn.com/abstract=1433512. · doi:10.2139/ssrn.1433512
- Seifert, 2011, Managing business dynamics with adaptive supply chain portfolios, European Journal of Operational Research, 215, 551, 10.1016/j.ejor.2011.06.026 · DOI
- Shepherd, 2006, Measuring supply chain performance: current research and future directions, International Journal of Productivity & Performance Management, 55, 242, 10.1108/17410400610653219 · DOI · Paper page
- Sipahi, 2010, Stability of inventory dynamics in supply chains with three delays, International Journal of Production Economics, 123, 107, 10.1016/j.ijpe.2009.07.013 · DOI
- Son, 2007, Hierarchical supply chain planning architecture for integrated analysis of stability and performance, International Journal of Simulation and Process Modelling, 3, 153, 10.1504/IJSPM.2007.015239 · doi:10.1504/ijspm.2007.015239
- Springer, 2010, Managing the order pipeline to reduce supply chain volatility, European Journal of Operational Research, 203, 380, 10.1016/j.ejor.2009.08.009 · doi:10.1016/j.ejor.2009.08.009
- Stevenson, 2007, Flexibility from a supply chain perspective: definition and review, International Journal of Operations & Production Management, 27, 685, 10.1108/01443570710756956 · DOI · Paper page
- Swafford, 2008, Achieving supply chain agility through IT integration and flexibility, International Journal of Production Economics, 116, 288, 10.1016/j.ijpe.2008.09.002 · DOI · Paper page
- Tachizawa, 2007, Drivers and sources of supply flexibility: an exploratory study, International Journal of Operations & Production Management, 27, 1115, 10.1108/01443570710820657 · DOI
- Tang, 2008, The power of flexibility for mitigating supply chain risks, International Journal of Production Economics, 116, 12, 10.1016/j.ijpe.2008.07.008 · DOI · Paper page
- Tanrisever, 2012, Managing capacity flexibility in make-to-order production environments, European Journal of Operational Research, 216, 334, 10.1016/j.ejor.2011.07.043 · doi:10.1016/j.ejor.2011.07.043
- Taylor, 2008, Determining inventory service support levels in multi-national companies, International Journal of Production Economics, 116, 1, 10.1016/j.ijpe.2008.05.020 · doi:10.1016/j.ijpe.2008.05.020
- Tsiakis, 2001, Design of multi-echelon supply chain networks under demand uncertainty, Industrial & Engineering Chemistry Research, 40, 3585, 10.1021/ie0100030 · doi:10.1021/ie0100030
- Vahdani, 2011, A hybrid multi-stage predictive model for supply chain network collapse recovery analysis: a practical framework for effective supply chain network continuity management, International Journal of Production Research, 49, 2035, 10.1080/00207540903289748 · DOI
- Vieira, 2000, Predicting the performance of rescheduling strategies for parallel machine systems, Journal of Manufacturing Systems, 19, 256, 10.1016/S0278-6125(01)80005-4 · doi:10.1016/s0278-6125(01)80005-4
- Villegas, 2006, Supply chain dynamics: analysis of inventory vs. order oscillations trade off, International Journal of Production Research, 44, 1037, 10.1080/00207540500338203 · doi:10.1080/00207540500338203
- Wadhwa, 2008, Framework for flexibility in dynamic supply chain management, International Journal of Production Research, 46, 1373, 10.1080/00207540600570432 · DOI
- Wang, 2009, Robust optimization model and algorithm for logistics center location and allocation under uncertain environment, Journal of Transportation Systems Engineering & IT, 9, 69, 10.1016/S1570-6672(08)60056-2 · doi:10.1016/s1570-6672(08)60056-2
- Wang, 2007, Model predictive control strategies for supply chain management in semiconductor industry, International Journal of Production Economics, 107, 56, 10.1016/j.ijpe.2006.05.013 · DOI
- Williams, 2008, Supply chain security: an overview and research agenda, International Journal of Logistics Management, 19, 254, 10.1108/09574090810895988 · DOI · Paper page
- Yadav, 2011, A framework for designing robust supply chains considering product development issues, International Journal of Production Research, 49, 6065, 10.1080/00207543.2010.524258 · doi:10.1080/00207543.2010.524258
- Zhang, 2011, Collaborative production planning of supply chain under price and demand uncertainty, European Journal of Operational Research, 215, 590, 10.1016/j.ejor.2011.07.007 · DOI
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Metadata
- Authors
- Ivanov, D., & Sokolov, B.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 224
- Issue
- 2
- Pages
- 313-323
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W2066699719
- Cited by
- 241
- References
- 2
- FWCI
- 21.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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