Assessment of shop floor layouts in the context of process plans with alternatives
Agarwal, A., & Sarkis, J. (2001). Evaluating functional and cellular manufacturing systems: a model and case analysis.
Al-Aomar, R., & Al-Okaily, A. (2006). A GA-based parameter design for single machine turning process with high-volume production.
Alhourani, F. (2015). Cellular manufacturing system design considering machines reliability and parts alternative process routings.
Andersen, A.-L., Brunoe, T. D., Nielsen, K., & Rösiö, C. (2017). Towards a generic design method for reconfigurable manufacturing systems.
Andrade, J. H. D., & Fernandes, F. C. F. (2018). Barriers and challenges to improve interfunctional integration between Product Development and Production Planning and Control in Engineering-to-Order Environment.
Arkat, J., & Ghahve, H. (2014). Scheduling of virtual manufacturing cells with outsourcing allowed.
Assad, A. A., Kramer, S. B., & Kaku, B. K. (2003). Comparing functional and cellular layouts: A simulation study based on standardization.
Bazargan-Cart, M., & Nahavandi, S. (2001). The Impact of Cell Formation on Layout Designs in Cellular Manufacturing.
Cheng Ying, N., Ab-Samat, H., & Kamaruddin, S. (2016). Pratical Production layout design for multi-product and small-lot-size production: A case study.
Chin, S. Y. (2013). Virtual Cells: Evalution of different lot sizing splitting strategies.
Colosimo, B., Semeraro, Q., & Tolio, T. A. (2000). Rule based system for non linear process plan generation.
Costa, R. F. S. (2010).
Dakov, I., Lefterova, T., & Petkova, A. (2010). Layout and Production Planning of Virtual Cellular Manufacturing Systems for Mechanical Machining.
Deep, K., & Singh, P. K. (2016). Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algorithm.
Defersha, F. M., & Hodiya, A. (2017). A mathematical model and a parallel multiple search path simulated annealing for an integrated distributed layout design and machine cell formation.
Deja, M., & Siemiatkowski, M. (2010). Generation of Optimal Process Plan Alternatives for Manufacturing Mechanical Components.
Deja, M., & Siemiatkowski, M. S. (2012). Feature-based generation of machining process plans for optimised parts manufacture.
Devise, O., & Pierreval, H. (2000). Indicators for measuring performances of morphology and material handling systems in flexible manufacturing systems.
Dias, L. M. S., Pereira, G. A. B., Vik, P., & Oliveira, J. A. (2014). Layout and process optimisation: using computer-aided design (CAD) and simulation through an integrated systems design tool.
Drira, A., Pierreval, H., & Hajri-Gabouj, S. (2007). Facility layout problems: A survey.
Drolet, J., Marcoux, Y., & Abdulnour, G. (2008). Simulation-based performance comparison between dynamic cells, classical cells and job shops: a case study.
Ekren, B. Y., & Ornek, A. M. (2008). A simulation based experimental design to analyze factors affecting production flow time.
Ertay, T. (1998). Simulation approach in comparison of a pull system in a cell production system with a push system in a conventional production system according to flexible cost: A case study.
Ferreira, J. C. E., & Reaes, P. A. (2013, Ago 17-20). Performance comparison of the virtual cell layout with cellular and job shop configurations using simulation and design of experiments. In
Ferreira, J. C. E., & Wysk, R. A. (2001a). An investigation of the influence of alternative process plans on equipment control.
Ferreira, J. C. E., & Wysk, R. A. (2001b). On the efficiency of alternatives in process plans.
Freitas Filho, F. P. (2008).
Fuchigami, H. Y., Moccellin, J. V., & Ruiz, R. (2015). Novas regras de prioridade para programação em flexible flow line com tempos de setup explícitos.
Fung, R. Y. K., Liang, F., Jiang, Z., & Wong, T. N. (2006). A multi-stage methodology for virtual cell formation oriented agile manufacturing.
Garza-Reyes, J. A., Al-Balushi, M., Antony, J., & Kumar, V. (2016). A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry.
Gomes, J. H. F. (2010).
Gupta, A., Jain, P. K., & Kumar, D. (2015). Configuration selection of reconfigurable manufacturing system based on performance.
Haddou Benderbal, H., Dahane, M., & Benyoucef, L. (2017). Flexibility-based multi-objective approach for machines selection in reconfigurable manufacturing system (RMS) design under unavailability constraints.
Hamedi, M., & Esmaeilian, G. (2015, March 3-5). Functional and distributed layouts and their effectiveness on capability-based Virtual Cellular Manufacturing systems performance. In
Hamedi, M., Esmaeilian, G. R., Napsiah, I., & Ariffin, M. K. A. (2012a). A survey on formation of virtual cellular manufacturing systems (VCMSs) and related issues.
Hamedi, M., Esmaeilian, G. R., Napsiah, I., & Ariffin, M. K. A. (2012b). Capability-based virtual cellular manufacturing systems formation in dual-resource constrained settings using Tabu Search.
Hamedi, H., Ismail, N., Esmaeilian, G. R., & Ariffin, M. K. A. (2012c). Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts.
Javadi, B., Jolai, F., Slomp, J., Rabbani, M., & Tavakkoli-Moghaddam, R. (2013). An integrated approach for the cell formation and layout design in cellular manufacturing systems.
Jayachitra, R., & Prasad, P. S. S. (2011). Performance analysis of Virtual Cellular Manufacturing: a simulation study.
Jayachitra, R., Revathy, R., & Prasad, P. S. S. (2010). A Fuzzy programming approach for formation of virtual cells under dynamic and uncertain conditions.
Jerbi, A., Chtourou, H., & Maalej, A. Y. (2010). Comparing functional and cellular layouts using simulation and Taguchi method.
Kamaruddin, S., Khoo, S. Y., Khan, Z. A., & Siddiquee, A. N. (2011). The effect of layout design on productivity: an empirical study.
Karl, A. A., Micheluzzi, J., Leite, L. R., & Pereira, C. R. (2018). Supply chain resilience and key performance indicators: a systematic literature review.
Khaksar-Haghani, F., Kia, R., Mahdavi, I., & Kazemi, M. (2012). A genetic algorithm for solving a multi-floor layout design model of a cellular manufacturing system with alternative process routings and flexible configuration.
Khilwani, N., Ulutas, B. H., Islier, A. A., & Tiwari, M. K. (2011). A methodology to design virtual cellular manufacturing systems.
Kleijnen, J. P. C., Sanchez, S. M., Lucas, T. W., & Cioppa, T. M. (2005). State-of-the-Art Review: A User’s guide to the brave new world of designing simulation experiments.
Kongchuenjai, J., & Prombanpong, S. (2017). An integer programming approach for process planning for mixed-model parts manufacturing on a CNC machining center.
Lv, J., Xiong, L. L., & Han, W. M. (2014). Discussion on the application of activity-based costing in virtual manufacturing cell mode.
Mahdavi, I., Aalaei, A., Paydar, M. M., & Solimanpur, M. (2011). Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems.
Mar-Ortiz, J., Adenso-Díaz, B., & González-Velarde, J. L. (2015). A comparison of manufacturing and disassembly systems from a cellular configuration point of view.
Mclean, C. R., Bloom, H., & Hopp, T. H. (1982). The virtual manufacturing cell. In
McLean, R. S., & Antony, J. (2017). A conceptual continuous improvement implementation framework for UK manufacturing companies.
Medina-Herrera, N., Jiménez-Gutiérrez, A., & Grossmann, I. E. (2014). A mathematical programming model for optimal layout considering quantitative risk analysis.
Mello, M. H. (2005).
Mesquita, M. A.; Mariz, F. B. A. R.; & Tomotani, J. V. (2017). The Skateboard Factory: a teaching case on discrete-event simulation.
Montevechi, J. A. B., de Pinho, A. F., Leal, F., & Marins, F. A. S. (2007, January 4). Application of design of experiments on the simulation of a process in automotive industry. In
Montgomery, D. C. (2012).
Morales, S.G.; & Ronconi, D.P. (2015). Formulações matemáticas e estratégias de resolução para o problema job shop clássico.
Morris, J. S., & Tersine, R. J. (1994). A simulation comparison of process and cellular layouts in a dual resource constrained environment.
Murthy, P. B. G. S. N., Ranganayakulu, J., Vidhu, K. P., & Rao, K. V. (2016). Heuristic Search Algorithm for the Single-row Machine Layout in an Automated Manufacturing System.
Paydar, M. M., & Saidi-Mehrabad, M. (2014). Revised multi-choice goal programming for integrated supply chain design and dynamic virtual cell formation with fuzzy parameters.
Paydar, M. M., & Saidi-Mehrabad, M. (2017). A hybrid genetic algorithm for dynamic virtual cellular manufacturing with supplier selection.
Phanden, R. K., Jain, A., & Verma, R. (2013). An approach for integration of process planning and scheduling.
Rabbani, M., Farrokhi-Asl, H., & Ravanbakhsh, M. (2018). Dynamic cellular manufacturing system considering machine failure and workload balance.
Rajapakshe, T., Dawande, M., & Sriskandarajah, C. (2011). Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing.
Ramachandran, J., & Prasad, P. S. (2014). Facility layout selection guideline under dynamic demand and part variety.
Reaes, P. A. (2008).
Rezazadeh, H., Ghazanfari, M., Sadjadi, S. J., Aryanezhad, M., & Makui, A. (2009). Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems.
Rheault, M., Drolet, J. R., & Abdulnour, G. (1995). Physically reconfigurable virtual cells: A dynamic model for a highly dynamic environment.
Sakhaii, M., Tavakkoli-Moghaddam, R., Bagheri, M., & Vatani, B. (2016). A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines.
Sanchez, S. M. (2008, December 7-10). Better than a petaflop: The power of efficient experimental design. In
Shafer, S. M., & Charnes, J. M. (1993). Cellular versus functional layouts under a variety of shop operating conditions.
Shafigh, F., Defersha, F. M., & Moussa, S. E. (2015). A mathematical model for the design of distributed layout by considering production planning and system reconfiguration over multiple time periods.
Sieckmann, F., Ngoc, H. N., Helm, R., & Kohl, H. (2018). Implementation of lean production systems in small and medium-sized pharmaceutical enterprises.
Silva, A. L., & Rentes, A. F. (2012). A layout design model for job shop environments with high variety of parts based on lean production concepts.
Suresh, N. C., & Slomp, J. (2005). Performance comparison of virtual cellular manufacturing with functional and cellular layouts in DRC settings.
Thomé, A. M. T., Scavarda, L. F., & Scavarda, A. J. (2016). Conducting systematic literature review in operations management.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review.
Tranfield, D., Denyer, D., Marcos, J., & Burr, M. (2004). Co-producing management knowledge.
Wang, G., Shin, Y. W., & Moon, D. H. (2015). Comparison of three flow line layouts with unreliable machines and profit maximization.
Wang, Z., Yang, J., Wang, G., & Zhang, G. (1987). Computer-Aided Design.
Watanapa, A., & Wiyaratn, W. (2018 March 14-16). Improvement of rubber smoked sheet plant using arena layout for increasing productivity. In
Zattar, I. C., Ferreira, J. C. E., Rodrigues, J. G. G. G., & de Sousa, C. H. B. (2010). A multi-agent system for the integration of process planning and scheduling using operation-based time-extended negotiation protocols.