Références

• Aglan, C., and M. B. Durmusoglu. 2015. “Lot-Splitting Approach of A Hybrid Manufacturing System under CONWIP Production Control : A Mathematical Model.” International Journal of Production Research 53 (5) : 1561–1583. doi :10.1080/00207543.2014.957873.
   Web of Science ®Google Scholar
• Araneda, R. 2018. “Development of a Simulation Tool to Support WIP Capacity Definition of a CONWIP System : The Case of STMicroelectronics.”
   Google Scholar
• Bahaji, N., and M. E. Kuhl. 2008. “A Simulation Study of New Multi-Objective Composite Dispatching Rules, CONWIP, and Push Lot Release in Semiconductor Fabrication.” International Journal of Production Research 46 (14) : 3801–3824. doi :10.1080/00207540600711879.
   Web of Science ®Google Scholar
• Bahu, B., L. Bironneau, and V. Hovelaque. 2019. “Compréhension Du DDMRP et de Son Adoption : Premiers Éléments Empiriques.” Logistique & Management : 27(1) 1–13.
   Google Scholar
• Belisário, L. S., N. Azouz, and H. Pierreval. 2015. “Adaptive ConWIP : Analyzing the Impact of Changing the Number of Cards.” In Industrial Engineering and Systems Management (IESM), 2015 International Conference On, 930–937. IEEE. doi :10.3389/fpls.2015.00930.
   Google Scholar
• Burlat, P. 2015. Méthodes concrètes de conception de système de Pplotage de ligne en mode CONWIP. Techniques de l’Ingénieur, Paris
   Google Scholar
• Crop, F., T. Lacornerie, X. Mirabel, and E. Lartigau. 2015. “Workflow Optimization for Robotic Stereotactic Radiotherapy Treatments : Application of Constant Work in Progress Workflow.” Operations Resea\rch for Health Care 6 : 18–22. doi :10.1016/j.orhc.2015.05.002.
   Web of Science ®Google Scholar
• Dallasega, P., E. Rauch, and D. T. Matt. 2015. “Sustainability in the Supply Chain through Synchronization of Demand and Supply in ETO-Companies.” Procedia CIRP 29 : 215–220. doi :10.1016/j.procir.2015.02.057.
   Google Scholar
• Dallery, Y., and F. de Véricourt. 1999. “Pilotage de systèmes de production à flux tire.” Logistique & Management 7 (1) : 57–66. doi :10.1080/12507970.1999.11516698.
   Google Scholar
• Eng, C. K., and L. K. Sin. 2013. “CONWIP Based Control of a Semiconductor End of Line Assembly.” Procedia Engineering 53 (January) : 607–615. doi :10.1016/j.proeng.2013.02.078.
   Google Scholar
• Gastermann, B., M. Stopper, F. Luftensteiner, and B. Katalinic. 2014. “Implementation of a Software Prototype with ConWIP Characteristics for Production Planning and Stock Management.” Procedia Engineering 69 : 423–432. doi :10.1016/j.proeng.2014.03.008.
   Google Scholar
• Giard, V., and M.-B. Gisèle. 2006. “Production à flux tirés dans une chaîne logistique.” Logistique & Management 14 (2) : 15–28. doi :10.1080/12507970.2006.11516862.
   Google Scholar
• Gong, Q., Y. Yang, and S. Wang. 2014. “Information and Decision-Making Delays in MRP, KANBAN, and CONWIP.” International Journal of Production Economics 156 : 208–213. doi :10.1016/j.ijpe.2014.06.010.
   Web of Science ®Google Scholar
• Harrod, S., and J. J. Kanet. 2013. “Applying Work Flow Control in Make-to-Order Job Shops.” International Journal of Production Economics 143 (2) : 620–626. doi :10.1016/j.ijpe.2012.02.017.
   Web of Science ®Google Scholar
• Hopp, W. J., and M. L. Roof. 1998. “Setting WIP Levels with Statistical Throughput Control (STC) in CONWIP Production Lines.” International Journal of Production Research 36 (4) : 867–882. doi :10.1080/002075498193435.
   Web of Science ®Google Scholar
• Huang, G., J. Chen, X. Wang, Y. Shi, and H. Tian. 2017. “From Loop Structure to Policy-Making : A CONWIP Design Framework for Hybrid Flow Shop Control in One-of-A-Kind Production Environment.” International Journal of Production Research 55 (12) : 3374–3391. doi :10.1080/00207543.2016.1234723.
   Web of Science ®Google Scholar
• Ip, W. H., M. Huang, K.-L. Yung, D. Wang, and X. Wang. 2007. “CONWIP Based Control of a Lamp Assembly Production Line.” Journal of Intelligent Manufacturing 18 (2) : 261–271. doi :10.1007/s10845-007-0021-0.
   Web of Science ®Google Scholar
• Jackson, J. R. 1963. “Jobshop-like Queueing Systems.” Management Science 10 (1) : 131–142. doi :10.1287/mnsc.10.1.131.
   Web of Science ®Google Scholar
• Jaegler, Y. 2018. “Optimisation du conwip dans un environnement multiproduit.” PhD Thesis, Ecole nationale supérieure d’arts et métiers-ENSAM.
   Google Scholar
• Jaegler, Y., A. Jaegler, P. Burlat, S. Lamouri, and D. Trentesaux. 2018. “The ConWip Production Control System : A Systematic Review and Classification.” International Journal of Production Research : 1–22. doi :10.1080/00207543.2017.1380325.
   Web of Science ®Google Scholar
• Jaegler, Y., A. Jaegler, D. trentesaux, P. Burlat, and S. Lamouri. 2017. “The CONWIP Production Control System : Classification and Discussion of Current and Future Research Avenues.” Journal Européen Des Systèmes Automatisés 50 (3) : 187. doi :10.3166/jesa.50.187-211.
   Google Scholar
• Khan, S., and C. Standridge. 2019. “Aggregate Simulation Modeling with Application to Setting the CONWIP Limit in a HMLV Manufacturing Cell.” International Journal of Industrial Engineering Computations 10 (2) : 149–160. doi :10.5267/j.ijiec.2018.10.002.
   Web of Science ®Google Scholar
• Leonardo, D. G., B. Sereno, D. S. A. da Silva, M. Sampaio, A. A. Massote, and J. C. Simões. 2017. “Implementation of Hybrid Kanban-CONWIP System : A Case Study.” Journal of Manufacturing Technology Management 28 (6) : 714–736. doi :10.1108/JMTM-03-2016-0043.
   Web of Science ®Google Scholar
• Little, J. D. C. 1961. “A Proof for the Queuing Formula : L= λ W.” Operations Research 9 (3) : 383–387. doi :10.1287/opre.9.3.383.
   Web of Science ®Google Scholar
• Olaitan, O., E. Alfnes, J. Vatn, and J. O. Strandhagen. 2019. “CONWIP Implementation in a System with Cross-Trained Teams.” International Journal of Production Research : 57(20) 1–14.
   Web of Science ®Google Scholar
• Romagnoli, G. 2015. “Design and Simulation of CONWIP in the Complex Flexible Job Shop of a Make-To-Order Manufacturing Firm.” International Journal of Industrial Engineering Computations 6 (1) : 117–134. doi :10.5267/j.ijiec.2014.8.003.
   Google Scholar
• Sastry, G. G., and R. Garg. 2017. “Analysis of Single Flow Line Multi Stage Multi-Product Pull Control Systems.”
   Google Scholar
• Spearman, M. L., D. L. Woodruff, and W. J. Hopp. 1990. “CONWIP : A Pull Alternative to Kanban.” International Journal of Production Research 28 (5) : 879. doi :10.1080/00207549008942761.
   Web of Science ®Google Scholar
• Spearman, M. L., and M. A. Zazanis. 1992. “Push and Pull Production Systems : Issues and Comparisons.” Operations Research 40 (3) : 521–532. doi :10.1287/opre.40.3.521.
   Web of Science ®Google Scholar
• Srinivasan, M. M., S. J. Ebbing, and A. T. Swearingen. 2003. “Woodward Aircraft Engine Systems Sets Work-in-Process Levels for High-Variety, Low-Volume Products.” Interfaces 33 (4) : 61–69. doi :10.1287/inte.33.4.61.16377.
   Web of Science ®Google Scholar
• Stevenson, M., L. C. Hendry, and B. G. Kingsman. 2005. “A Review of Production Planning and Control : The Applicability of Key Concepts to the Make-to-Order Industry.” International Journal of Production Research 43 (5) : 869–898. doi :10.1080/0020754042000298520.
   Web of Science ®Google Scholar
• Tardif, V., and L. Maaseidvaag. 2001. “An Adaptive Approach to Controlling Kanban Systems.” European Journal of Operational Research 132 (2) : 411–424. doi :10.1016/S0377-2217(00)00119-3.
   Web of Science ®Google Scholar
• Thürer, M., N. O. Fernandes, M. Stevenson, and Q. Ting. 2017. “On the Backlog-Sequencing Decision for Extending the Applicability of ConWIP to High-Variety Contexts : An Assessment by Simulation.” International Journal of Production Research 55 (16) : 4695–4711. doi :10.1080/00207543.2017.1281462.
   Web of Science ®Google Scholar