Empirical study to explore the impact of ergonomics on workforce scheduling

References

• Algethami, H., and D. Landa-Silva. 2017. “Diversity-Based Adaptive Genetic Algorithm for a Workforce Scheduling and Routing Problem.” IEEE Congress on Evolutionary Computation, 1771–1778.
   Google Scholar
• Alwadood, Z., I. Kassim, and R. Rani. 2010. “Maintenance Workforce Scheduling Using Arena Simulation.” Second International Conference on Computer Research and Development, 517–521.
   Google Scholar
• Araújo, F. B., A. M. Costa, and C. Miralles. 2012. “Two Extensions for the ALWABP: Parallel Stations and Collaborative Approach.” International Journal of Production Economics 140 (1): 483–495.
   Web of Science ®Google Scholar
• Awwad, A. S., and J. F. O’Kane. 2010. “Agile Capabilities in Uncertain Business Environments: An Empirical Study of the Jordanian Manufacturing Sector.” International Journal of Operations and Quantitative Management 16 (2): 155–172.
   Google Scholar
• Bao, Shihan, Jorgen Winkel, Svend Erik Mathiassen, and Houshang Shahnavaz. 1997. “Interactive Effects of Ergonomics and Production Engineering on Shoulder-Neck-Exposure – A Case Study of Assembly Work in China and Sweden.” International Journal of Industrial Ergonomics 20: 75–85.
   Web of Science ®Google Scholar
• Battaia, O., X. Delorme, A. Dolgui, J. Hagemann, A. Horlemann, S. Kovalev, and S. Malyutin. 2015. “Workforce Minimization for a Mixed-Model Assembly Line in the Automotive Industry.” International Journal of Production Economics 170: 489–500.
   Web of Science ®Google Scholar
• Battini, D., X. Delorme, A. Dolgui, A. Persona, and F. Sgarbossa. 2016. “Ergonomics in Assembly Line Balancing Based on Energy Expenditure: A Multi-Objective Model.” International Journal of Production Research 54 (3): 824–845.
   Web of Science ®Google Scholar
• Battini, D., M. Faccio, A. Persona, and F. Sgarbossa. 2011. “New Methodological Framework to Improve Productivity and Ergonomics in Assembly System Design.” International Journal of Industrial Ergonomics 41: 30–42.
   Web of Science ®Google Scholar
• Bergh, J., J. Beliën, P. De Bruecker, E. Demeulemeester, and L. De Boeck. 2013. “Personnel Scheduling: A Literature Review.” European Journal of Operational Research 226: 367–385.
   Web of Science ®Google Scholar
• Blum, C., and C. Miralles. 2011. “On Solving the Assembly Line Worker Assignment and Balancing Problem via Beam Search.” Computers & Operations Research 38 (1): 328–339.
   Web of Science ®Google Scholar
• Boenzi, F., S. Digiesi, G. Mossa, G. Mummolo, and V. A. Romano. 2015. “Modelling Workforce Aging in Job Rotation Problems.” IFAC-PapersOnLine 48 (3): 604–609.
   Google Scholar
• Castillo, I., T. Joro, and Y. Li. 2009. “Workforce Scheduling with Multiple Objectives.” European Journal of Operational Research 196 (1): 162–170.
   Web of Science ®Google Scholar
• Costa, A., S. Fichera, and F. A. Cappadonna. 2013. “A Genetic Algorithm for Scheduling Both Jobs Families and Skilled Workforce.” International Journal of Operations and Quantitative Management 19 (4): 221–247.
   Google Scholar
• Cowling, P., N. Colledge, K. Dahal, and S. Remde. 2006. “The Trade-off Between Diversity and Quality for Multi-Objective Workforce Scheduling, in Evolutionary Computation in Combinatorial Optimization.” Lecture Notes in Computer Science 3906: 13–24.
   Google Scholar
• Fowler, J., P. Wirojanagud, and E. S. Gel. 2008. “Heuristics for Workforce Planning with Worker Differences.” European Journal of Operational Research 190 (3): 724–740.
   Web of Science ®Google Scholar
• Gel, E. S., W. J. Hopp, and M. P. Van Oyen. 2007. “Hierarchical Cross-Training in Work-in-Process-Constrained Systems.” IIE Transactions 39 (2): 125–143.
   Web of Science ®Google Scholar
• Goel, A., and F. Meisel. 2013. “Workforce Routing and Scheduling for Electricity Network Maintenance with Downtime Minimization.” European Journal of Operational Research 231 (1): 210–228.
   Web of Science ®Google Scholar
• Hochdörffer, J., M. Hedler, and G. Lanza. 2018. “Staff Scheduling in Job Rotation Environments Considering Ergonomic Aspects and Preservation of Qualifications.” Journal of Manufacturing Systems 46: 103–114.
   Web of Science ®Google Scholar
• Huq, F., K. Cutright, and C. Martin. 2004. “Employee Scheduling and Makespan Minimization in a Flow Shop with Multi-Processor Work Stations: A Case Study.” Omega 32 (2): 121–129.
   Web of Science ®Google Scholar
• Hytonen, J., E. Niemi, and V. Toivonen. 2008. “Optimal Workforce Allocation for Assembly Lines for Highly Customised Low-Volume Products.” International Journal of Services Operations and Informatics 3 (1): 28–29.
   Google Scholar
• Kara, Y., Y. Atasagun, H. Gokcen, S. Hezer, and N. Demirel. 2014. “An Integrated Model to Incorporate Ergonomics and Resource Restrictions Into Assembly Line Balancing.” International Journal of Computer Integrated Manufacturing 27: 997–1007.
   Web of Science ®Google Scholar
• Laesanklang, W., D. Landa-Silva, and J. Castillo-Salazar. 2015. “Mixed Integer Programming with Decomposition to Solve a Workforce Scheduling and Routing Problem.” International Conference on Operations Research and Enterprise Systems, Lisbon, Portugal, January 10–12, 112–121.
   Google Scholar
• Maccarone, L. 2017. “A Simulation-Optimization Framework to Solve the Workforce Scheduling Problem in Complex Manufacturing and Logistic Contexts.” Winter Simulation Conference, 4608–4609.
   Google Scholar
• Mas, J. A., R. Poveda-Bautista, and D. Garzon-Lea. 2017. “Using RGB-D Sensors and Evolutionary Algorithms for the Optimization of Workstation Layouts.” Applied Ergonomics 65: 530–540.
   PubMed Web of Science ®Google Scholar
• Michalos, G., S. Makris, L. Rentzos, and G. Chryssolouris. 2010. “Dynamic Job Rotation for Workload Balancing in Human Based Assembly Systems.” CIRP Journal of Manufacturing Science and Technology 2: 153–160.
   Google Scholar
• Mossa, G., F. Boenzi, S. Digiesi, G. Mummolo, and V. A. Romano. 2016. “Productivity and Ergonomic Risk in Human Based Production Systems: A Job-Rotation Scheduling Model.” International Journal of Production Economics 171: 471–477.
   Google Scholar
• Moussavi, S. E., M. Mahdjoub, and O. Grunder. 2016. “Reducing Production Cycle Time by Ergonomic Workforce Scheduling.” IFAC-PapersOnLine 49 (12): 419–424.
   Google Scholar
• Nanthavanij, S., S. Yaoyuenyong, and C. Jeenanunta. 2010. “Heuristic Approach to Workforce Scheduling with Combined Safety and Productivity Objective.” International Journal of Industrial Engineering: Theory Applications and Practice 17 (4): 319–333.
   Web of Science ®Google Scholar
• Neubert, G., and M. M. Savino. 2009. “Flow Shop Operator Scheduling Through Constraint Satisfaction and Constraint Optimisation Techniques.” International Journal of Productivity and Quality Management 4 (5–6): 549–568.
   Google Scholar
• Noack, D., and O. Rose. 2008. “A Simulation-Based Optimization Algorithm for Slack Reduction and Workforce Scheduling.” Simulation Conference, 1989–1994.
   Google Scholar
• Othman, M., G. J. Gouw, and N. Bhuiyan. 2012. “Workforce Scheduling: A New Model Incorporating Human Factors.” Journal of Industrial Engineering and Management 5: 259–284.
   Google Scholar
• Pinheiro, R. L., H. Algethami, and D. Landa-Silva. 2016. “A Genetic Algorithm for a Workforce Scheduling and Routing Problem.” In IEEE Congress on Evolutionary Computation (CEC), 927–934.
   Google Scholar
• Quan, G., G. Greenwood, D. Liu, and S. Hu. 2007. “Searching for Multi-Objective Preventive Maintenance Schedules: Combining Preferences with Evolutionary Algorithms.” European Journal of Operational Research 177: 1969–1984.
   Web of Science ®Google Scholar
• Ritt, M., A. M. Costa, and C. Miralles. 2015. “The Assembly Line Worker Assignment and Balancing Problem with Stochastic Worker Availability.” International Journal of Production Research 54 (3): 907–922.
   Web of Science ®Google Scholar
• Robbins, T. R., D. J. Medeiros, and T. P. Harrison. 2010. “Cross Training in Call Centers with Uncertain Arrivals and Global Service Level Agreements.” International Journal of Operations and Quantitative Management 16 (3): 307–329.
   Google Scholar
• Sabar, M., B. Montreuil, and M. M. Frayret. 2009. “A Multi-Agent-Based Approach for Personnel Scheduling in Assembly Centers.” Engineering Applications of Artificial Intelligence 22 (7): 1080–1088.
   Web of Science ®Google Scholar
• Safaei, N., D. Banjevic, and A. Jardine. 2009. “Multi-Objective Maintenance Workforce Scheduling in a Steel Company.” IFAC Proceedings Volumes 42 (4): 1049–1054.
   Google Scholar
• Savino, M. M., D. Battini, and C. Riccio. 2017. “Visual Management and Artificial Intelligence Integrated in a New Fuzzy-Based Full Body Postural Assessment.” Computers & Industrial Engineering 111: 596–608.
   Web of Science ®Google Scholar
• Savino, M. M., A. Brun, and A. Mazza. 2014. “Dynamic Workforce Allocation in a Constrained Flow Shop with Multi-Agent System.” Computers in Industry 65 (6): 967–975.
   Web of Science ®Google Scholar
• Savino, M. M., A. Mazza, and D. Battini. 2016. “New Easy to Use Postural Assessment Method Through Visual Management.” International Journal of Industrial Ergonomics 53: 48–58.
   Web of Science ®Google Scholar
• Thannimalai, P., M. M. Kadhum, C. Feng, and S. Ramadass. 2013. “A Glimpse of Cross Training Models and Workforce Scheduling Optimization.” IEEE Symposium on Computers & Informatics (ISCI), 98–103.
   Google Scholar
• Thompson, G., and J. Goodale. 2006. “Variable Employee Productivity in Workforce Scheduling.” European Journal of Operational Research 170 (2): 376–390.
   Web of Science ®Google Scholar
• Urlings, T., R. Ruiz, and F. S. Serifoglu. 2010. “Genetic Algorithms with Different Representation Schemes for Complex Hybrid Flexible Flow Line Problems.” International Journal of Metaheuristics 1 (1): 30–54.
   Google Scholar
• Valls, V., A. Pérez, and S. Quintanilla. 2009. “Skilled Workforce Scheduling in Service Centres.” European Journal of Operational Research 193 (3): 791–804.
   Web of Science ®Google Scholar
• Vignais, N., M. Miezal, G. Bleser, K. Mura, D. Gorecky, and F. Marin. 2013. “Innovative System for Real-time Ergonomic Feedback in Industrial Manufacturing.” Applied Ergonomics 44 (4): 566–574.
   PubMed Web of Science ®Google Scholar
• Wongwien, T., and S. Nanthavanij. 2012. “Ergonomic Workforce Scheduling Under Complex Worker Limitation and Task Requirements: Mathematical Model and Approximation Procedure.” Songklanakarin Journal of Science and Technology 34 (5): 541–549.
   Google Scholar
• Wongwien, T., and S. Nanthavanij. 2016. “Priority-Based Ergonomic Workforce Scheduling for Industrial Workers Performing Hazardous Jobs.” Journal of Industrial and Production Engineering 34 (1): 52–60.
   Web of Science ®Google Scholar
• Wongwien, T., and S. Nanthavanij. 2017. “Multi-Objective Ergonomic Workforce Scheduling Under Complex Worker and Task Constraints.” International Journal of Industrial Engineering: Theory Applications and Practice 24 (3): 284–294.
   Web of Science ®Google Scholar
• Yazgan, H. R., I. Beypinar, S. Boran, and C. Ocak. 2011. “A New Algorithm and Multi-Response Taguchi Method to Solve Line Balancing Problem in an Automotive Industry.” International Journal of Advanced Manufacturing Technology 57 (1): 379–392.
   Web of Science ®Google Scholar
• Zhang, G., L. Gao, and Y. Shi. 2011. “An Effective Genetic Algorithm for the Flexible Job-Shop Scheduling Problem.” Expert Systems with Applications 38 (4): 3563–3573.
   Web of Science ®Google Scholar