A multi-skilled worker assignment problem in seru production systems considering the worker heterogeneity

Aalaei, 2013, The Tchebycheff norm for ranking DMUs in cellular manufacturing systems with assignment worker, International Journal of Applied Operational Research, 3, 41 Aalaei, 2014, Data envelopment analysis in cellular manufacturing systems considering worker assignment, International Journal of Services and Operations Management, 18, 258, 10.1504/IJSOM.2014.062231 Ammar, A., Pierreval, H., & Elkosantini, S. (2013). Workers assignment problems in manufacturing systems: A literature analysis. In: 5th International conference on industrial engineering and systems management. 28–30 October. Rabat, Morocco (p. 7). Aryanezhad, 2009, Dynamic cell formation and the worker assignment problem: A new model, International Journal of Advanced Manufacturing Technology, 41, 329, 10.1007/s00170-008-1479-4 Attia, 2012, Flexible resources allocation techniques: Characteristics and modelling, International Journal of Operational Research, 14, 221, 10.1504/IJOR.2012.046649 Attia, 2014, Considering skills evolutions in multi-skilled workforce allocation with flexible working hours, International Journal of Production Research, 52, 4548, 10.1080/00207543.2013.877613 Azadeh, 2011, A unique fuzzy multi-criteria decision making: Computer simulation approach for productive operators’ assignment in cellular manufacturing systems with uncertainty and vagueness, The International Journal of Advanced Manufacturing Technology, 56, 329, 10.1007/s00170-011-3186-9 Azadeh, 2011, Optimal allocation of operators in a cellular manufacturing system by an integrated computer simulation-genetic algorithm approach, International Journal of Operational Research, 10, 333, 10.1504/IJOR.2011.038905 Azadeh, 2013, An integrated fuzzy DEA-Fuzzy simulation approach for optimization of operator allocation with learning effects in multi products CMS, Applied Mathematical Modelling, 37, 9922, 10.1016/j.apm.2013.05.039 Azizi, 2010, Modeling job rotation in manufacturing systems: The study of employee’s boredom and skill variations, International Journal of Production Economics, 123, 69, 10.1016/j.ijpe.2009.07.010 Azizi, 2013, An integrated approach to worker assignment, workforce flexibility acquisition, and task rotation, Journal of the Operational Research Society, 64, 260, 10.1057/jors.2012.30 Bagheri, 2014, A new mathematical model towards the integration of cell formation with operator assignment and inter-cell layout problems in a dynamic environment, Applied Mathematical Modelling, 38, 1237, 10.1016/j.apm.2013.08.026 Bhaskar, 1997, Static and dynamic operator allocation problems in cellular manufacturing systems, International Journal of Production Research, 35, 3467, 10.1080/002075497194192 Bokhorst, 2004, On the who-rule in dual resource constrained (DRC) manufacturing systems, International Journal of Production Research, 42, 5049, 10.1080/00207540410001733878 Bootaki, 2014, A hybrid GA-AUGMECON method to solve a cubic cell formation problem considering different worker skills, Computers & Industrial Engineering, 75, 31, 10.1016/j.cie.2014.05.022 Cesaní, 2005, A study of labor assignment flexibility in cellular manufacturing systems, Computers & Industrial Engineering, 48, 571, 10.1016/j.cie.2003.04.001 Corominas, 2010, A model for the assignment of a set of tasks when work performance depends on experience of all tasks involved, International Journal of Production Economics, 126, 335, 10.1016/j.ijpe.2010.04.012 Costa, 2014, Joint optimization of a flow-shop group scheduling with sequence dependent set-up times and skilled workforce assignment, International Journal of Production Research, 52, 2696, 10.1080/00207543.2014.883469 De Bruecker, 2015, Workforce planning incorporating skills: State of the art, European Journal of Operational Research, 243, 1, 10.1016/j.ejor.2014.10.038 Deb, 2002, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6, 182, 10.1109/4235.996017 Egilmez, 2014, Stochastic skill-based manpower allocation in a cellular manufacturing system, Journal of Manufacturing Systems, 33, 578, 10.1016/j.jmsy.2014.05.005 Ferjani, 2017, A simulation-optimization based heuristic for the online assignment of multi-skilled workers subjected to fatigue in manufacturing systems, Computers & Industrial Engineering, 112, 663, 10.1016/j.cie.2017.02.008 Firat, 2014, Stable multi-skill workforce assignments, Annals of Operations Research, 213, 95, 10.1007/s10479-012-1224-0 Gel, 2007, Hierarchical cross-training in work-in-process-constrained systems, IIE Transactions, 39, 125, 10.1080/07408170600729184 Gen, 1999 Ghotboddini, 2011, A comprehensive dynamic cell formation design: Benders’ decomposition approach, Expert Systems with Applications, 38, 2478, 10.1016/j.eswa.2010.08.037 Givi, 2015, Production planning in DRC systems considering worker performance, Computers & Industrial Engineering, 87, 317, 10.1016/j.cie.2015.05.005 Gomar, 2002, Assignment and allocation optimization of partially multiskilled workforce, Journal of Construction Engineering and Management, 128, 103, 10.1061/(ASCE)0733-9364(2002)128:2(103) Hewitt, 2015, Integer programming techniques for solving non-linear workforce planning models with learning, European Journal of Operational Research, 242, 942, 10.1016/j.ejor.2014.10.060 Hopp, 2004, Agile workforce evaluation: A framework for cross-training and coordination, IIE Transactions, 36, 919, 10.1080/07408170490487759 Inman, 2004, Chained cross-training of assembly line workers, International Journal of Production Research, 10, 1899, 10.1080/00207540410001666224 Isa, 2002, Cell production and workplace innovation in Japan: Toward a new model for Japanese manufacturing, Industrial Relations: A Journal of Economy and Society, 41, 548, 10.1111/1468-232X.00264 Jaber, 2010, Modelling worker fatigue and recovery in dual-resource constrained systems, Computers & Industrial Engineering, 59, 75, 10.1016/j.cie.2010.03.001 Jordan, 1995, Principles on the benefits of manufacturing process flexibility, Management Science, 41, 577, 10.1287/mnsc.41.4.577 Jordan, 2004, Chained cross-training of workers for robust performance, IIE Transactions, 36, 953, 10.1080/07408170490487713 Kaku, 2008, A study on human-task-related performances in converting conveyor assembly line to cellular manufacturing, European Journal of Operational Research, 2, 17 Kim, 2013, Rule mining for scheduling cross training with a heterogeneous workforce, International Journal of Production Research, 51, 2281, 10.1080/00207543.2012.716169 Liu, 2010, Seru seisan – An innovation of the production management mode in Japan, Asian Journal of Technology Innovation, 18, 89, 10.1080/19761597.2010.9668694 Liu, 2013, Training and assignemtn of multi-skilled workers for implementing seru production systems, International Journal of Advanced Manufacturing Technology, 69, 937, 10.1007/s00170-013-5027-5 Liu, 2014, An implementation framework for seru production, International Transactions in Operational Research, 21, 1, 10.1111/itor.12014 Liu, 2016, Worker assignment and production planning with learning and forgetting in manufacturing cells by hybrid bacteria foraging algorithm, Computers & Industrial Engineering, 96, 162, 10.1016/j.cie.2016.03.020 Liu, 2016, Solving cell formation and task scheduling in cellular manufacturing system by discrete bacteria foraging algorithm, International Journal of Production Research, 54, 923, 10.1080/00207543.2015.1113328 Mahdavi, 2010, Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment, Computers and Mathematics with Applications, 60, 1014, 10.1016/j.camwa.2010.03.044 Mahdavi, 2011, Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems, International Journal of Production Research, 49, 6517, 10.1080/00207543.2010.524902 Mahdavi, 2012, A new mathematical model for integrating all incidence matrices in multi-dimensional cellular manufacturing system, Journal of Manufacturing Systems, 31, 214, 10.1016/j.jmsy.2011.07.007 McDonald, 2009, Development and application of a worker assignment model to evaluate a lean manufacturing cell, International Journal of Production Research, 47, 2427, 10.1080/00207540701570174 Mehdizadeh, 2016, An integrated mathematical model for solving dynamic cell formation problem considering operator assignment and inter/intra cell layouts, Applied Soft Computing, 42, 325, 10.1016/j.asoc.2016.01.012 Mehdizadeh, 2016, A vibration damping optimization algorithm for solving a new multi-objective dynamic cell formation problem with workers training, Computers & Industrial Engineering, 101, 35, 10.1016/j.cie.2016.08.012 Mital, 1999, The need for worker training in advanced manufacturing technology(AMT) environments: A white paper, International Journal of Industrial Ergonomics, 24, 173, 10.1016/S0169-8141(98)00024-9 Miyake, 2006, The shift from belt conveyor line to work-cell based assembly systems to cope with increasing demand variation in Japanese industries, International Journal of Automotive Technology and Management, 6, 419, 10.1504/IJATM.2006.012234 Nembhard, 2014, Selection policies for a multifunctional workforce, International Journal of Production Research, 52, 4785, 10.1080/00207543.2014.887231 Niakan, 2016, A bi-objective model in sustainable dynamic cell formation problem with skill-based worker assignment, Journal of Manufacturing Systems, 38, 46, 10.1016/j.jmsy.2015.11.001 Nikoofarid, 2012, Production planning and worker assignment in a dynamic virtual cellular manufacturing system, International Journal of Management Science and Engineering Management, 7, 89, 10.1080/17509653.2012.10671211 Norman, 2002, Worker assignment in cellular manufacturing considering technical and human skills, International Journal of Production Research, 40, 1479, 10.1080/00207540110118082 Olivella, 2013, Task assignment considering cross-training goals and due dates, International Journal of Production Research, 51, 952, 10.1080/00207543.2012.693645 Othman, 2012, Integrating workers’ differences into workforce planning, Computers & Industrial Engineering, 63, 1096, 10.1016/j.cie.2012.06.015 Rafiei, 2013, A bi-objective mathematical model toward dynamic cell formation considering labor utilization, Applied Mathematical Modelling, 37, 2308, 10.1016/j.apm.2012.05.015 Sakazume, 2005, Is Japanese cell manufacturing a new system? A comparative study between Japanese cell manufacturing and cellular manufacturing, Journal of Japan Industrial Management Association, 55, 341 Sakhaii, 2016, A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines, Applied Mathematical Modelling, 40, 169, 10.1016/j.apm.2015.05.005 Sirovetnukul, 2010, The impact of walking time on U-shaped assembly line worker allocation problems, Engineering Journal, 14, 53, 10.4186/ej.2010.14.2.53 Slomp, 2002, Cross-training policies and team performance, International Journal of Production Research, 40, 1193, 10.1080/00207540110098823 Stecke, 2012, Seru: The organizational extension of JIT for a super-talent factory, International Journal of Strategic Decision Sciences, 3, 106, 10.4018/jsds.2012010104 Süer, 2005, Intra-cell manpower transfers and cell loading in labor-intensive manufacturing cells, Computers & Industrial Engineering, 48, 643, 10.1016/j.cie.2003.03.006 Süer, 2008, Multi-period operator assignment considering skills, learning and forgetting in labour-intensive cells, International Journal of Production Research, 46, 469, 10.1080/00207540601138551 Süer, 2009, Models for cell loading and product sequencing in labor-intensive cells, Computers & Industrial Engineering, 56, 97, 10.1016/j.cie.2008.04.002 Süer, 2013, Minimizing total tardiness subject to manpower restriction in labor-intensive manufacturing cells, Mathematical and Computer Modelling, 57, 741, 10.1016/j.mcm.2012.08.013 Valeva, 2017, Balancing flexibility and inventory in workforce planning with learning, International Journal of Production Economics, 183, 194, 10.1016/j.ijpe.2016.10.026 Yin, 2008, The evolution of seru production systems throughout Canon, Operations Management Education Review, 2, 27 Yin, 2017, Lessons from seru production on manufacturing competitively in a high cost environment, Journal of Operations Management, 49–51, 67, 10.1016/j.jom.2017.01.003 Zhang, 2015, Integrating sustainable manufacturing assessment into decision making for a production work cell, Journal of Cleaner Production, 105, 52, 10.1016/j.jclepro.2014.01.038 Zohrevand, 2016, Multi-objective dynamic cell formation problem: A stochastic programming approach, Computers & Industrial Engineering, 98, 323, 10.1016/j.cie.2016.03.026