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Alexandre DOLGUI
ENSEIGNANT-CHERCHEUR
HDR
: Alexandre.Dolguiatls2n.fr
Adresse :
IMT Atlantique Bretagne-Pays de la Loire Ecole Mines-Telecom ( IMT ATLANTIQUE )La Chantrerie4, rue Alfred KastlerB.P. 20722
44307 NANTES Cedex 3
Publications référencées sur HAL

- [1] M. Elyasi, B. Altan, A. Ekici, O. Özener, I. Yanıkoğlu, A. Dolgui. Production planning with flexible manufacturing systems under demand uncertainty. In International Journal of Production Research ; éd. Taylor & Francis, 2023.https://hal.science/hal-04313121
- [2] A. Chibani, X. Delorme, A. Dolgui, H. Pierreval. Dealing with variations for a supplier selection problem in a flexible supply chain: a dynamic optimization approach. In ICORES 2014, 2014, Angers, France.https://hal.science/hal-02097945
- [3] A. Dolgui, P. Lacomme, D. Bekhouche. Discrete Event Simulation Model for Performances Analysis in an Industrial Case Study. In 13th European Simulation Symposium, 2001, Marseille, France.https://hal.science/hal-02082015
- [4] D. Tremblet, A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Optimizing task reassignments for reconfigurable multi-model assembly lines with unknown order of product arrival. In Journal of Manufacturing Systems, vol. 67. 2023https://hal.science/hal-03968774
- [5] S. Razm, N. Brahimi, R. Hammami, A. Dolgui. A production planning model for biorefineries with biomass perishability and biofuel transformation. In International Journal of Production Economics ; éd. Elsevier, 2023, vol. 258.https://hal.science/hal-03983520
- [6] A. Yousefloo, R. Babazadeh, M. Mohammadi, A. Pirayesh, A. Dolgui. Design of a robust waste recycling network integrating social and environmental pillars of sustainability. In Computers & Industrial Engineering ; éd. Elsevier, 2023, vol. 176.https://hal.science/hal-03983519
- [7] S. Chen, Y. Pan, D. Wu, A. Dolgui. In-house versus outsourcing collection in a closed-loop supply chain with remanufacturing technology development. In International Journal of Production Research ; éd. Taylor & Francis, 2023.https://hal.science/hal-03982014
- [8] O. Battaïa, A. Dolgui, N. Guschinsky, M. Kovalyov. Designing fast-charge urban electric bus services: An Integer Linear Programming model. In Transportation Research Part E: Logistics and Transportation Review ; éd. Elsevier, 2023, vol. 171.https://hal.science/hal-03984067
- [9] O. Battaïa, A. Dolgui, N. Guschinsky, M. Kovalyov. Designing fast-charge urban electric bus services: An Integer Linear Programming model. In Transportation Research Part E: Logistics and Transportation Review ; éd. Elsevier, 2023, vol. 171.https://hal.science/hal-04232251
- [10] S. Chen, Y. Pan, D. Wu, A. Dolgui. In-house versus outsourcing collection in a closed-loop supply chain with remanufacturing technology development. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 6.https://hal.science/hal-04232250
- [11] D. Luo, S. Thevenin, A. Dolgui. A state-of-the-art on production planning in Industry 4.0. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 19.https://hal.science/hal-03793675
- [12] G. Castañé, A. Dolgui, N. Kousi, B. Meyers, S. Thevenin, E. Vyhmeister, P. Östberg. The ASSISTANT project: AI for high level decisions in manufacturing. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 7.https://hal.science/hal-03793828
- [13] D. Ivanov, A. Dolgui, J. Blackhurst, T. Choi. Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 8.https://hal.science/hal-04232246
- [14] O. Battaïa, A. Dolgui, N. Guschinsky, B. Rozin. MILP model for fleet and charging infrastructure decisions for fast-charging city electric bus services. In Computers & Industrial Engineering ; éd. Elsevier, 2023, vol. 182.https://hal.science/hal-04232244
- [15] O. Battaïa, A. Dolgui, N. Guschinsky. MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts. In International Journal of Production Economics ; éd. Elsevier, 2023, vol. 262.https://hal.science/hal-04232231
- [16] S. Koh, F. Jia, Y. Gong, X. Zheng, A. Dolgui. Achieving carbon neutrality via supply chain management: position paper and editorial for IJPR special issue. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 18.https://hal.science/hal-04232224
- [17] B. Vahdani, M. Mohammadi, S. Thevenin, P. Meyer, A. Dolgui. Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic. In Omega ; éd. Elsevier, 2023, vol. 120.https://hal.science/hal-04232233
- [18] A. Dolgui, O. Gusikhin, D. Ivanov, X. Li, K. Stecke. A network-of-networks adaptation for cross-industry manufacturing repurposing. In IISE Transactions ; éd. Taylor & Francis, 2023.https://hal.science/hal-04232230
- [19] J. Lu, D. Wu, J. Dong, A. Dolgui. A decision support method for credit risk based on the dynamic Bayesian network. In Industrial Management and Data Systems ; éd. Emerald, 2023.https://hal.science/hal-04232215
- [20] B. Vahdani, M. Mohammadi, S. Thevenin, M. Gendreau, A. Dolgui, P. Meyer. Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19. In European Journal of Operational Research ; éd. Elsevier, 2023, vol. 310, num. 3.https://hal.science/hal-04232211
- [21] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Minimizing task reassignments under balancing multi-product reconfigurable manufacturing lines. In Computers & Industrial Engineering, vol. 173. 2022https://hal.science/hal-03783903
- [22] C. Gonnermann, S. Hashemi-Petroodi, S. Thevenin, A. Dolgui, R. Daub. A skill- and feature-based approach to planning process monitoring in assembly planning. In International Journal of Advanced Manufacturing Technology ; éd. Springer Verlag, 2022, vol. 122, num. 5-6.https://hal.science/hal-03808442
- [23] E. Gurevsky, A. Rasamimanana, A. Pirogov, A. Dolgui, A. Rossi. Stability factor for robust balancing of simple assembly lines under uncertainty. In Discrete Applied Mathematics, vol. 318. 2022https://hal.science/hal-03631880
- [24] X. Schepler, A. Rossi, E. Gurevsky, A. Dolgui. Solving robust bin-packing problems with a branch-and-price approach. In European Journal of Operational Research ; éd. Elsevier, 2022, vol. 297, num. 3.https://hal.science/hal-03265396
- [25] A. Dolgui, F. Sgarbossa, M. Simonetto. Design and management of assembly systems 4.0: systematic literature review and research agenda. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 1.https://hal.science/hal-03982103
- [26] A. Dolgui. Editorial board contributions celebrating the 60th anniversary of IJPR: parts 1 and 2. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 1.https://hal.science/hal-03982096
- [27] A. Dolgui, D. Ivanov. 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 2.https://hal.science/hal-03982088
- [28] J. He, F. Chu, A. Dolgui, F. Zheng, M. Liu. Integrated stochastic disassembly line balancing and planning problem with machine specificity. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 5.https://hal.science/hal-03118513
- [29] T. Choi, A. Dolgui, D. Ivanov, E. Pesch. OR and analytics for digital, resilient, and sustainable manufacturing 4.0. In Annals of Operations Research ; éd. Springer Verlag, 2022, vol. 310, num. 1.https://hal.science/hal-03982080
- [30] B. Vahedi-Nouri, R. Tavakkoli-Moghaddam, Z. Hanzálek, A. Dolgui. Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic. In Journal of Manufacturing Systems ; éd. Elsevier, 2022, vol. 63.https://hal.science/hal-03982038
- [31] D. Ivanov, A. Dolgui, B. Sokolov. Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”. In Transportation Research Part E: Logistics and Transportation Review ; éd. Elsevier, 2022, vol. 160.https://hal.science/hal-03982048
- [32] D. Ivanov, A. Dolgui. Stress testing supply chains and creating viable ecosystems. In Operations Management Research, vol. 15, num. 1-2. 06-2022https://hal.science/hal-03981977
- [33] M. Hader, D. Tchoffa, A. Mhamedi, P. Ghodous, A. Dolgui, A. Abouabdellah. Applying integrated Blockchain and Big Data technologies to improve supply chain traceability and information sharing in the textile sector. In Journal of Industrial Information Integration ; éd. Elsevier, 2022, vol. 28.https://hal.science/hal-03834812
- [34] O. Battaïa, A. Dolgui. Hybridizations in line balancing problems: A comprehensive review on new trends and formulations. In International Journal of Production Economics ; éd. Elsevier, 2022, vol. 250, num. 22.https://hal.science/hal-03981865
- [35] Y. Li, D. Wu, A. Dolgui. Optimal trade credit coordination policy in dual-channel supply chain with consumer transfer. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 15.https://hal.science/hal-03981959
- [36] P. Metzker, S. Thevenin, Y. Adulyasak, A. Dolgui. Robust optimization for lot-sizing problems under yield uncertainty. In Computers and Operations Research ; éd. Elsevier, 2022, vol. 149.https://hal.science/hal-03793673
- [37] M. Liu, Z. Liu, F. Chu, A. Dolgui, C. Chu, F. Zheng. An optimization approach for multi-echelon supply chain viability with disruption risk minimization. In Omega ; éd. Elsevier, 2022, vol. 112.https://hal.science/hal-03692701
- [38] S. Hasemi-Petroodi, S. Thevenin, S. Kovalev, A. Dolgui. Markov decision process for multi-manned mixed-model assembly lines with walking workers. In International Journal of Production Economics ; éd. Elsevier, 2022.https://hal.science/hal-03803756
- [39] M. Ardolino, A. Bacchetti, A. Dolgui, G. Franchini, D. Ivanov, A. Nair. The impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review. In International Journal of Production Research ; éd. Taylor & Francis, 2022.https://hal.science/hal-03981873
- [40] Y. Cheng, D. Olson, A. Dolgui. Financing with preferential credit to coordinate the capital-constraint supply chain. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 21.https://hal.science/hal-03981879
- [41] Y. Yin, F. Chu, A. Dolgui, T. Cheng, M. Zhou. Big data analytics in production and distribution management. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 22.https://univ-evry.hal.science/hal-03892642
- [42] A. Dolgui, M. Kovalyov, B. Lin. Maximizing total early work in a distributed two‐machine flow‐shop. In Naval Research Logistics ; éd. Wiley-Blackwell, 2022, vol. 69, num. 8.https://hal.science/hal-03981840
- [43] E. Gafarov, A. Dolgui. On lower and upper bounds for single machine parallel batch scheduling. In Optimization Letters ; éd. Springer Verlag, 2022, vol. 16, num. 9.https://hal.science/hal-03981853
- [44] M. Mohammadi, M. Dehghan, A. Pirayesh, A. Dolgui. Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic. In Omega ; éd. Elsevier, 2022, vol. 113.https://hal.science/hal-03981849
- [45] S. Hashemi-Petroodi, S. Thevenin, S. Kovalev, A. Dolgui. Model-dependent task assignment in multi-manned mixed-model assembly lines with walking workers. In Omega ; éd. Elsevier, 2022, vol. 113.https://hal.science/hal-03793680
- [46] I. Slama, O. Ben-Ammar, S. Thevenin, A. Dolgui, F. Masmoudi. Stochastic program for disassembly lot-sizing under uncertain component refurbishing lead times. In European Journal of Operational Research ; éd. Elsevier, 2022.https://hal.science/hal-03614823
- [47] A. Dolgui. Editorial Board contributions celebrating the 60th Anniversary of IJPR: Part 3. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 24.https://hal.science/hal-03981792
- [48] A. Wicaksana, W. Ho, S. Talluri, A. Dolgui. A decade of progress in supply chain risk management: risk typology, emerging topics, and research collaborators. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 24.https://hal.science/hal-03981806
- [49] D. Ivanov, A. Dolgui. The shortage economy and its implications for supply chain and operations management. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 24.https://hal.science/hal-03981801
- [50] A. Pirogov, E. Gurevsky, A. Rossi, A. Dolgui. Robust balancing of transfer lines with blocks of uncertain parallel tasks under fixed cycle time and space restrictions. In European Journal of Operational Research ; éd. Elsevier, 2021, vol. 290, num. 3.https://hal.science/hal-03003764
- [51] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Reconfigurable manufacturing systems from an optimisation perspective: a focused review of literature. In International Journal of Production Research, vol. 59, num. 21. 2021https://hal.science/hal-02966035
- [52] D. Ivanov, A. Dolgui. OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications. In International Journal of Production Economics ; éd. Elsevier, 2021.https://hal.science/hal-03112204
- [53] D. Ivanov, B. Sokolov, W. Chen, S. Potryasaev, A. Dolgui, F. Werner. A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints. In IISE Transactions ; éd. Taylor & Francis, 2021, vol. 53, num. 1.https://hal.science/hal-02990899
- [54] X. Liu, F. Chu, A. Dolgui, F. Zheng, M. Liu. Service-oriented bi-objective robust collection-disassembly problem with equipment selection. In International Journal of Production Research ; éd. Taylor & Francis, 2021, vol. 59, num. 6.https://hal.science/hal-02488907
- [55] D. Ivanov, C. Tang, A. Dolgui, D. Battini, A. Das. Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management. In International Journal of Production Research ; éd. Taylor & Francis, 2021, vol. 59, num. 7.https://hal.science/hal-02923787
- [56] C. Serrano, X. Delorme, A. Dolgui. Cross-dock distribution and operation planning for overseas delivery consolidation: A case study in the automotive industry. In CIRP Journal of Manufacturing Science and Technology ; éd. Elsevier, 2021, vol. 33.https://hal.science/hal-03176631
- [57] S. Razm, A. Dolgui, R. Hammami, N. Brahimi, S. Nickel, H. Sahebi. A two-phase sequential approach to design bioenergy supply chains under uncertainty and social concerns. In Computers & Chemical Engineering ; éd. Elsevier, 2021, vol. 145.https://hal.science/hal-03100462
- [58] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. Genetic algorithm and Monte Carlo simulation for a stochastic capacitated disassembly lot-sizing problem under random lead times. In Computers & Industrial Engineering ; éd. Elsevier, 2021.https://hal.science/hal-03258442
- [59] A. Dolgui, D. Ivanov. Manufacturing modelling, management and control: IFAC TC 5.2 past, present and future. In Annual Reviews in Control ; éd. Elsevier, 2020, vol. 49.https://hal.science/hal-03170925
- [60] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. Approches d’optimisation pour un problème de planification de désassemblage sous incertitude des délais de désassemblage. In Génie industriel et productique ; éd. Maria DI MASCOLO, 2020, vol. 3, num. 1.https://hal.science/hal-03170986
- [61] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. New mixed integer approach to solve a multi-level capacitated disassembly lot-sizing problem with defective items and backlogging. In Journal of Manufacturing Systems ; éd. Elsevier, 2020, vol. 56.https://hal.science/hal-02636673
- [62] L. Koh, A. Dolgui, J. Sarkis. Blockchain in transport and logistics – paradigms and transitions. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 7.https://hal.science/hal-02550115
- [63] S. Hashemi-Petroodi, S. Kovalev, S. Thevenin, A. Dolgui. Operations management issues in design and control of hybrid human-robot collaborative manufacturing systems: a survey. In Annual Reviews in Control ; éd. Elsevier, 2020, vol. 49.https://hal.science/hal-02882757
- [64] S. Hosseini, D. Ivanov, A. Dolgui. Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 11.https://hal.science/hal-02923276
- [65] A. Dolgui, D. Ivanov, M. Rozhkov. Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 5.https://hal.science/hal-02477561
- [66] A. Diabat, A. Dolgui, W. Janiak, M. Kovalyov. Three parallel task assignment problems with shared resources. In IISE Transactions ; éd. Taylor & Francis, 2020, vol. 52, num. 4.https://hal.science/hal-02437934
- [67] A. Dolgui, D. Ivanov, S. Potryasaev, B. Sokolov, M. Ivanova, F. Werner. Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 7.https://hal.science/hal-02550104
- [68] A. Dolgui, G. Levin, B. Rozin. Optimisation of the aggregation and execution rates for intersecting operation sets: an example of machining process design. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 9.https://hal.science/hal-02556267
- [69] H. Afsar, O. Ben-Ammar, A. Dolgui, F. Hnaien. Supplier Replacement Model in a One-Level Assembly System under Lead-Time Uncertainty. In Applied Sciences ; éd. Multidisciplinary digital publishing institute (MDPI), 2020.https://hal.science/hal-02572048
- [70] D. Ivanov, A. Dolgui. Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 10.https://hal.science/hal-02568319
- [71] O. Battaïa, A. Dolgui, N. Guschinsky. Optimal Cost Design of Flow Lines with Reconfigurable Machines for Batch Production. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 10.https://hal.science/hal-02568324
- [72] Y. Cheng, D. Wu, D. Olson, A. Dolgui. Financing the newsvendor with preferential credit: bank vs. manufacturer. In International Journal of Production Research ; éd. Taylor & Francis, 2020.https://hal.science/hal-03197762
- [73] A. Dolgui, D. Ivanov, B. Sokolov. Reconfigurable supply chain: the X-network. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 13.https://hal.science/hal-02882722
- [74] Z. Tang, D. Wu, A. Dolgui. Option contracts for online celebrities as retailers in supply chains. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 14.https://hal.science/hal-02923295
- [75] A. Kinra, D. Ivanov, A. Das, A. Dolgui. Ripple effect quantification by supplier risk exposure assessment. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 18.https://hal.science/hal-02925637
- [76] S. Hashemi-Petroodi, A. Dolgui, S. Kovalev, M. Kovalyov, S. Thevenin. Workforce reconfiguration strategies in manufacturing systems: a state of the art. In International Journal of Production Research ; éd. Taylor & Francis, 2020.https://hal.science/hal-03052898
- [77] A. Dolgui, D. Ivanov. Exploring supply chain structural dynamics: New disruptive technologies and disruption risks. In International Journal of Production Economics ; éd. Elsevier, 2020, vol. 229.https://hal.science/hal-03170914
- [78] O. Ben-Ammar, P. Castagliola, A. Dolgui, F. Hnaien. A hybrid genetic algorithm for a multilevel assembly replenishment planning problem with stochastic lead times. In Computers & Industrial Engineering ; éd. Elsevier, 2020, vol. 149.https://hal.science/hal-02935532v2
- [79] A. Dolgui, E. Gafarov. Can a Branch and Bound algorithm solve all instances of SALBP-1 efficiently?. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.https://hal.science/hal-02435977
- [80] A. Dolgui, S. Hashemi-Petroodi, S. Kovalev, M. Kovalyov, S. Thevenin. Workforce planning and assignment in mixed-model assembly lines as a factor of line reconfigurability: state of the art. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.https://hal.science/hal-02435975
- [81] D. Ivanov, A. Dolgui, B. Sokolov, M. Ivanova. Intellectualization of control: cyber-physical supply chain risk analytics. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.https://hal.science/hal-02435980
- [82] D. Ivanov, A. Dolgui. New disruption risk management perspectives in supply chains: digital twins, the ripple effect, and resileanness. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.https://hal.science/hal-02435974
- [83] I. Slama, O. Ben-Ammar, F. Masmoudi, A. Dolgui. Disassembly scheduling problem: literature review and future research directions. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.https://hal.science/hal-02435983
- [84] O. Ben-Ammar, B. Bettayeb, A. Dolgui. Optimization of multi-period supply planning under stochastic lead times and a dynamic demand. In International Journal of Production Economics ; éd. Elsevier, 2019, vol. 218.https://hal.science/hal-02435962
- [85] O. Hazir, A. Dolgui. A Review on Robust Assembly Line Balancing Approaches. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.https://hal.science/hal-02435978
- [86] X. Delorme, A. Dolgui, S. Kovalev, M. Kovalyov. Minimizing the number of workers in a paced mixed-model assembly line. In European Journal of Operational Research ; éd. Elsevier, 2019, vol. 272, num. 1.https://hal-emse.ccsd.cnrs.fr/emse-01840007
- [87] A. Dolgui, D. Ivanov, S. Sethi, B. Sokolov. Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 57, num. 2.https://hal.science/hal-01998181
- [88] A. Dolgui. Selected surveys on cutting edge problems in Production Research. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 57, num. 15-16.https://hal.science/hal-02435961
- [89] D. Ivanov, A. Dolgui. Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 57, num. 15-16.https://hal.science/hal-02434321
- [90] O. Battaïa, A. Dolgui, S. Heragu, S. Meerkov, M. Tiwari. Design for manufacturing and assembly/disassembly: joint design of products and production systems. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 56, num. 24.https://hal.science/hal-02043631
- [91] D. Ivanov, A. Dolgui, B. Sokolov. The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 57, num. 3.https://hal.science/hal-02062526
- [92] T. Lai, Y. Sotskov, A. Dolgui. The stability radius of an optimal line balance with maximum efficiency for a simple assembly line. In European Journal of Operational Research ; éd. Elsevier, 2019, vol. 274, num. 2.https://hal.science/hal-02097344
- [93] Y. Pan, D. Wu, C. Luo, A. Dolgui. User activity measurement in rating-based online-to-offline (O2O) service recommendation. In Information Sciences ; éd. Elsevier, 2019, vol. 479.https://hal.science/hal-02097347
- [94] S. Hosseini, D. Ivanov, A. Dolgui. Review of quantitative methods for supply chain resilience analysis. In Transportation Research Part E: Logistics and Transportation Review ; éd. Elsevier, 2019, vol. 125.https://hal.science/hal-02097333
- [95] O. Ben-Ammar, B. Bettayeb, A. Dolgui. Integrated production planning and quality control for linear production systems under uncertainties of cycle time and finished product quality. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 58, num. 4.https://imt-atlantique.hal.science/hal-02415341
- [96] M. Habibi, O. Battaïa, V. Cung, A. Dolgui, M. Tiwari. Sample Average Approximation for Multi-Vehicle Collection-Disassembly Problem under Uncertainty. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 57, num. 8.https://hal.science/hal-02434343
- [97] Z. Guiras, S. Turki, N. Rezg, A. Dolgui. Optimal maintenance plan for two-level assembly system and risk study of machine failure. In International Journal of Production Research ; éd. Taylor & Francis, 2019, vol. 57, num. 8.https://hal.science/hal-02097311
- [98] A. Dolgui, D. Ivanov, B. Sokolov. Ripple effect in the supply chain: an analysis and recent literature. In International Journal of Production Research ; éd. Taylor & Francis, 2018, vol. 56, num. 1-2.https://hal.science/hal-01741690
- [99] A. Dolgui, N. Bakhtadze, V. Pyatetsky, R. Sabitov, G. Smirnova, D. Elpashev, E. Zakharov. Data Mining-Based Prediction of Manufacturing Situations. In IFAC-PapersOnLine ; éd. Elsevier, 2018, vol. 51, num. 11.https://hal.science/hal-01979427
- [100] A. Dolgui, S. Kovalev, M. Kovalyov, S. Malyutin, A. Soukhal. Optimal workforce assignment to operations of a paced assembly line. In European Journal of Operational Research ; éd. Elsevier, 2018, vol. 264, num. 1.https://hal.science/hal-01688688
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