Agent-based modelling of movement rules in DRC systems for volume flexibility: human factors and technical performance

References

• Allen, M. 1963. “The Efficient Utilization of Labor under Conditions of Fluctuating Demand.” In Industrial Scheduling, edited by J. Muth and G. Thompson. Englewood Cliffs, NJ: Prentice Hall . chapter 16.
   Google Scholar
• Aptel, M., F. Cail, A. Gerling, and O. Louis. 2008. “Proposal of Parameters to Implement a Workstation Rotation System to Protect against MSDs.” International Journal of Industrial Ergonomics 38(11–12): 900–909.
   Web of Science ®Google Scholar
• Armbruster, D., and E. S. Gel. 2006. “Bucket Brigades Revisited: Are They Always Effective?” European Journal of Operational Research 172(1): 213–229.
   Web of Science ®Google Scholar
• Baines, T. S., D. K. Harrison, J. M. Kay, and D. J. Hamblin. 1998. “A Consideration of Modelling Techniques That Can Be Used to Evaluate Manufacturing Strategies.” The International Journal of Advanced Manufacturing Technology 14: 369–375.
   Web of Science ®Google Scholar
• Baines, T., S. Mason, P. O. Siebers, and J. Ladbrook. 2004. “Humans: the Missing Link in Manufacturing Simulation?” Simulation Modelling Practice and Theory 12: 515–526.
   Web of Science ®Google Scholar
• Baines, T. S., R. Asch, L. Hadfield, J. P. Mason, S. Fletcher, and J. M. Kay. 2005. “Towards a Theoretical Framework for Human Performance Modelling within Manufacturing Systems Design.” Simulation Modelling Practice and Theory 13(6): 486–504.
   Web of Science ®Google Scholar
• Bankes, S. C. 2002. “Agent-based Modeling: a Revolution?” Proceedings of the National Academy of Sciences 99(90003): 7199–7200.
   PubMed Web of Science ®Google Scholar
• Banks, J., J. S. Carson, B. L. Nelson, and D. M. Nicol. 2001. Discrete-event Simulation. Upper Saddle River, NJ: Prentice-Hall.
   Google Scholar
• Bartholdi, J. J., and D. D. Eisenstein. 1996. “A Production Line That Balances Itself.” Operations Research 44(1): 21–34.
   Web of Science ®Google Scholar
• Bartholdi, J. J., D. D. Eisenstein, and R. D. Foley. 2001. “Performance of Bucket Brigades When Work is Stochastic.” Operations Research 49(5): 710–719.
   Web of Science ®Google Scholar
• Beckers, D. J., D. van der Linden, P. G. W. Smulders, M. A. J. Kompier, M. J. P. M. van Veldhoven, and N. W. van Yperen. 2004. “Working Overtime Hours: Relations with Fatigue, Work Motivation, and the Quality of Work.” Journal of Occupational and Environmental Medicine 46: 1282–1289.
   PubMed Web of Science ®Google Scholar
• Birdi, K., C. Clegg, M. Patterson, A. Robinson, C. B. Stride, T. D. Wall, and S. J. Wood. 2008. “The Impact of Human Resource and Operational Management Practices on Company Productivity: a Longitudinal Study.” Personnel Psychology 61(3): 467–501.
   Web of Science ®Google Scholar
• Bobrowski, P. M., and P. S. Park. 1993. “An Evaluation of Labor Assignment Rules When Workers Are Not Perfectly Interchangeable.” Journal of Operations Management 11: 257–268.
   Google Scholar
• Bokhorst, J. A. C., and G. J. C. Gaalman. 2009. “Cross-training Workers in Dual Resource Constrained Systems with Heterogeneous Processing times.” International Journal of Production Research 47(22): 6333–6356.
   Web of Science ®Google Scholar
• Bokhorst, J. A. C., J. Slomp, and G. J. C. Gaalman. 2004. “On the Who-rule in Dual Resource Constrained (DRC) Manufacturing Systems.” International Journal of Production Research 42(23): 5049–5074.
   Web of Science ®Google Scholar
• Bokhorst, J. A. C., G. Nomden, and J. Slomp. 2008. “Performance Evaluation of Family-based Dispatching in Small Manufacturing Cells.” International Journal of Production Research 46(22): 6305–6321.
   Web of Science ®Google Scholar
• Boksem, M. A., and M. Tops. 2008. “Mental Fatigue: Costs and Benefits.” Brain Research Reviews 59(1): 125–139.
   PubMed Web of Science ®Google Scholar
• Bonabeau, E. 2002. “Agent-based Modelling: Methods and Techniques for Simulating Human Systems.” Proceedings of the National Academy of Sciences 99(90003): 7280–7287.
   PubMed Web of Science ®Google Scholar
• Borshchev, A., and A. Filippov. 2004. “From System Dynamics and Discrete Event to Practical agent based Modeling: Reasons, Techniques, Tools.” Proceedings of the 22nd International Conference of the System Dynamics Society, 2004, 25–29.
   Google Scholar
• Boudreau, J., W. Hopp, J. O. McClain, and L. J. Thomas. 2003. “Commissioned Paper: on the Interface between Operations and Human Resources Management.” Manufacturing & Service Operations Management 5(3): 179–202.
   Google Scholar
• Boyle, T. A. 2006. “Towards Best Management Practices for Implementing Manufacturing Flexibility.” Journal of Manufacturing Technology Management 17(1): 6–21.
   Google Scholar
• Brass, D. 1985. “Technology and the Structuring of Jobs: Employee Satisfaction, Performance, and Influence.” Organizational Behavior and Human Decision Processes 35(2): 216–240.
   Web of Science ®Google Scholar
• Buzacott, J. A. 2002. “The Impact of Worker Differences on Production System Output.” International Journal of Production Economics 78(1): 37–44.
   Web of Science ®Google Scholar
• Buzacott, J. A. 2004. “Modelling Teams and Workgroups in Manufacturing.” Annals of Operations Research 126: 215–230.
   Web of Science ®Google Scholar
• Carley, K. M. 2009. How to Validate an Agent-based Model Applied Agent-based Modeling in Management Research. Chicago, IL: Academy of Management Professional Development Workshop . August 7.
   Google Scholar
• Chang, A.-Y. 2009. “An Attribute Approach to the Measurement of Machine-group Flexibility.” European Journal of Operational Research 194(3): 774–786.
   Web of Science ®Google Scholar
• Charteris, J. 1998. “Comparison of the Effects of Backpack Loading and of Walking Speed on Foot-floor Contact Patterns.” Ergonomics 41(12): 1792–1809.
   PubMed Web of Science ®Google Scholar
• Conway, R. W., W. L. Maxwell, and L. W. Miller. 1967. Theory of Scheduling. Reading, Massachusetts, Addison-Wesley: Addison-Wesley.
   Google Scholar
• Conway, R. W., W. Maxwell, J. O. McClain, and L. J. Thomas. 1988. “The Role of Work-in-process Inventory in Serial Production Lines.” Operations Research 36(2): 229–241.
   Web of Science ®Google Scholar
• Davis, D. J., H. V. Kher, and B. J. Wagner. 2009. “Influence of Workload Imbalances on the Need for Worker Flexibility.” Computers & Industrial Engineering 57(1): 319–329.
   Web of Science ®Google Scholar
• De Meyer, A., J. Nakane, J. G. Miller, and K. Ferdows. 1989. “Flexibility: the Next Competitive Battle the Manufacturing Futures Survey.” Strategic Management Journal 10(2): 135–144.
   Web of Science ®Google Scholar
• De Treville, Suzanne, Samuel Bendahan, and Annelies Vanderhaeghe. 2007. “Manufacturing Flexibility and Performance: Bridging the Gap between Theory and Practice.” International Journal of Flexible Manufacturing Systems 19(4): 334–357.
   Google Scholar
• Digiesi, S., A. A. Kock, Ad, G. Mummolo, and J. E. Rooda. 2009. “The Effect of Dynamic worker Behavior on Flow Line Performance.” International Journal of Production Economics 120 (2): 368–377.
   Google Scholar
• Downey, B. S., and M. S. Leonard. 1992. “Assembly Line with Flexible Work-force.” International Journal Production Research 30(3): 469–483.
   Web of Science ®Google Scholar
• Dul, J., and W. P. Neumann. 2009. “Ergonomics Contributions to Company Strategies.” Applied Ergonomics 40(4): 745–752.
   PubMed Web of Science ®Google Scholar
• Eklund, J. A. E. 1995. “Relationships between Ergonomics and Quality in Assembly Work.” Applied Ergonomics 26(1): 15–20.
   PubMed Web of Science ®Google Scholar
• Eklund, J. 1997. “Ergonomics, Quality and Continuous Improvement – Conceptual and Empirical Relationships in an Industrial Context.” Ergonomics 40(10): 982–1001.
   PubMed Web of Science ®Google Scholar
• Elsayed, E. A., and T. O. Boucher. 1994. Analysis and Control of Production Systems. NJ: Prentice Hall.
   Google Scholar
• Flynn, B. B., and F. R. Jacobs. 1986. “A Simulation Comparison of Group Technology with Traditional Job Shop Manufacturing.” International Journal of Production Research 24(5): 1171–1192.
   Web of Science ®Google Scholar
• Forrester, J. W. 1961. Industrial Dynamics. Waltham, MA: Pegasus Communications.
   Google Scholar
• Fry, T. D., H. V. Kher, and M. K. Malhotra. 1995. “Managing Worker Flexibility and Attrition in Dual Resource Constrained Job Shops.” International Journal of Production Research 33(8): 2136–2179.
   Web of Science ®Google Scholar
• Fryer, J. S. 1973. “Operating Policies in Multi-echelon Dual-constraint Job Shop.” Management Science 19(9): 1001–1012.
   Web of Science ®Google Scholar
• Garey, M. R., D. S. Johnson, and R. Seithi. 1976. “The Complexity Flowshop and Jobshop Scheduling.” Mathematics of Operations Research 1(2): 117–129.
   Google Scholar
• Gel, E. S., W. J. Hopp, and M. P. Van Oyen. 2002. “Factor Affecting Opportunity of Worksharing as Dynamic Line Balancing Mechanism.” IIE Transactions 34(10): 847–863.
   Web of Science ®Google Scholar
• Gerwin, D. 1993. “Manufacturing Flexibility: a Strategic Perspective.” Management Science 39(4): 395–410.
   Web of Science ®Google Scholar
• Goggins, R. W., P. Spielholz, and G. L. Nothstein. 2008. “Estimating the Effectiveness of Ergonomics Interventions through Case Studies: Implications for Predictive Cost-benefit Analysis.” Journal of Safety Research 39(3): 339–344.
   PubMed Web of Science ®Google Scholar
• Goyal, M., and S. Netessine. 2009. Volume Flexibility with Multiple Products and the Tradeoff with Product Flexibility. Working paper. University of Maryland. .
   Google Scholar
• Gunther, R. E. 1979. “Server Transfer Delays in Dual Resource Constrained Parallel Queueing System.” Management Science 25(12): 1245–1257.
   Web of Science ®Google Scholar
• He, Ping, Xiaoyan Xu, and Zhongsheng Hua. 2012. “A New Method for Guiding Process Flexibility Investment: Flexibility Fit Index.” International Journal of Production Research 50(14): 3718–3737.
   Web of Science ®Google Scholar
• Heidelberger, P., and P. W. Welch. 1983. “Simulation Run Length Control in the Presence of an Initial Transient.” Operations Research 31(6): 1109–1144.
   Web of Science ®Google Scholar
• Hicks, A. L., J. Kent-Braun, and D. S. Ditor. 2001. “Sex Differences in Human Skeletal Muscle Fatigue.” Exercise and Sport Sciences Reviews 29(3): 109–112.
   PubMedGoogle Scholar
• Hopp, W. J., and M. P. Van Oyen. 2004a. “Agile Workforce Evaluation: a Framework for Cross-training and Coordination.” IIE Transactions 36(10): 919–940.
   Web of Science ®Google Scholar
• Hopp, W. J., E. Tekin, and M. P. Van Oyen. 2004b. “Benefits of Skill Chaining in Serial Production Lines with Cross-trained Workers.” Management Science 50(1): 83–98.
   Web of Science ®Google Scholar
• Hottenstein, M. P., and S. A. Bowman. 1998. “Cross-training and Worker Flexibility: a Review of DRC System Research.” Journal of High Technology Management Research 9(2): 157–174.
   Google Scholar
• Iravani, S. M., M. P. Van Oyen, and K. T. Sims. 2005. “Structural Flexibility: a New Perspective on the Design of Manufacturing and Service Operations.” Management Science 51(2): 151–166.
   Web of Science ®Google Scholar
• Jaber, M. Y., and W. P. Neumann. 2010. “Modelling Worker Fatigue and Recovery in Dual-resource Constrained Systems.” Computers & Industrial Engineering 59(1): 75–84.
   Web of Science ®Google Scholar
• Jason, L. A., J. A. Richman, A. W. Rademaker, K. M. Jordan, A. V. Plioplys, R. Taylor, W. McCready, C. F. Huang, and S. Plioplys. 1999. “A Community-based Study of Chronic Fatigue Syndrome.” Archives of Internal Medicine 159(18): 2129–2137.
   PubMed Web of Science ®Google Scholar
• Jensen, P. L. 2002. “Human Factors and Ergonomics in the Planning of Production.” International Journal of Industrial Ergonomics 29(3): 121–131.
   Web of Science ®Google Scholar
• Julka, N., Rajagopalan Srinivasan, and I. Karimi. 2002. “Agent-based Supply Chain Management—1: Framework.” Computers & Chemical Engineering 26(12): 1755–1769.
   Web of Science ®Google Scholar
• Kannan, V. R., and J. B. Jensen. 2004. “Learning and Labour Assignment in a Dual Resource Constrained Cellular Shop.” International Journal of Production Research 42(7): 1455–1470.
   Web of Science ®Google Scholar
• Kara, S., and B. Kayis. 2004. “Manufacturing Flexibility and Variability: an Overview.” Journal of Manufacturing Technology Management 15(6): 466–478.
   Google Scholar
• Kara, S., B. Kayis, and S. O’Kane. 2002. “The Role of Human Factors in Flexibility Management: a Survey.” Human Factors and Ergonomics in Manufacturing 12(1): 75–119.
   Web of Science ®Google Scholar
• Kazmierczak, K., W. P. Neumann, and J. Winkel. 2007. “A Case Study of Serial-flow Car Disassembly: Ergonomics, Productivity, and Potential System Performance.” Human Factors and Ergonomics in Manufacturing 17(4): 331–351.
   Web of Science ®Google Scholar
• Kher, H. V. 2000. “Examination of Flexibility Acquisition Policies in Dual Resource Constrained Job Shops with Simultaneous Worker Learning and Forgetting Effects.” Journal of the Operational Research Society 51(5): 592–601.
   Web of Science ®Google Scholar
• Koste, L. L., and M. K. Malhotra. 1999. “A Theoretical Framework for Analyzing the Dimensions of Manufacturing Flexibility.” Journal of Operations Management 18(1): 75–93.
   Web of Science ®Google Scholar
• Koste, L. L., M. K. Malhotra, and S. Sharma. 2004. “Measuring Dimensions of Manufacturing Flexibility.” Journal of Operations Management 22(2): 171–196.
   Web of Science ®Google Scholar
• Lau, R. S. M. 1996. “Strategic Flexibility: a New Reality for World-class Manufacturing.” SAM Advanced Management Journal 61(2): 11–15.
   Google Scholar
• Law, A. M., and W. D. Kelton. 2000. Simulation Modeling and Analysis. New York: McGraw-Hill.
   Google Scholar
• Leigh, J. P., S. B. Markowitz, M. Fahs, C. Shin, and P. J. Landrigan. 1997. “Occupational Injury and Illness in the United States. Estimates of Costs, Morbidity, and Mortality.” Archives of Internal Medicine 157(14): 1557–1568.
   PubMed Web of Science ®Google Scholar
• Little, J. D. C. 1961. “A Proof of the Queueing Formula L = λ W.” Journal of Operations Research 9(3): 383–387.
   Web of Science ®Google Scholar
• McCreery, John K., and Lee J. Krajewski. 1999. “Improving Performance Using Workforce Flexibility in an Assembly Environment with Learning and Forgetting Effects.” International Journal of Production Research 37(9): 2031–2058.
   Web of Science ®Google Scholar
• McCreery, J., L. Krajewski, G. Leong, and P. Ward. 2004. “Performance Implications of Assembly Work Teams.” Journal of Operations Management 22(4): 387–412.
   Web of Science ®Google Scholar
• Merengo, C., F. Nava, and A. Pozzetti. 1999. “Balancing and Sequencing Manual Mixed-model Assembly Lines.” International Journal of Production Research 37(12): 2835–2860.
   Web of Science ®Google Scholar
• Meyers, F., and J. Stewart. 2002. Motion and Time Study for Lean Manufacturing. Upper Saddle River, NJ: Prentice Hall . 3rd Edition.
   Google Scholar
• Miller, R. G. 1981. Simultaneous Statistical Interference. 2nd ed. New York: Springer-Verlag.
   Google Scholar
• Molleman, E., and A. Van den Beukel. 2007. “Worker Flexibility and Its Perceived Contribution to Performance: the Moderating Role of Task Characteristics.” Human Factors and Ergonomics in Manufacturing 17(2): 117–135.
   Web of Science ®Google Scholar
• Monostori, L., J. Váncza, and S. R. T. Kumara. 2006. “Agent-based Systems for Manufacturing.” Annals of the CIRP 55(2): 672–720.
   Web of Science ®Google Scholar
• Montgomery, D. C. 2004. Design and Analysis of Experiments. Sixth Edition ed. NY: John Wiley & Sons.
   Google Scholar
• Montoya-Torres, J. R. 2006. “Manufacturing Performance Evaluation in Wafer Semiconductor Factories.” International Journal Productivity Performance Management 55(3/4): 300–310.
   Google Scholar
• Nelson, R. T. 1967. “Labor and Machine Limited Production System.” Management Science 13(9): 648–671.
   Google Scholar
• Nelson, R. T. 1968. “Dual-resource Constrained Series Service Systems.” Operations Research 16(2): 324–341.
   Web of Science ®Google Scholar
• Neumann, W. P., and J. Dul. 2010. “Human Factors: Spanning the Gap between OM and HRM.” International Journal of Operations & Production Management 30(9): 923–950.
   Web of Science ®Google Scholar
• Neumann, W. P., and P. Medbo. 2009. “Integrating Human Factors into Discrete Event Simulations of Parallel Flow Strategies.” Production Planning & Control 20(1): 3–16.
   Web of Science ®Google Scholar
• Neumann, W. P., S. Kihlberg, P. Medbo, S. E. Mathiassen, and J. Winkel. 2002. “A Case Study Evaluating the Ergonomic and Productivity Impacts of Partial Automation Strategies in the Electronics Industry.” International Journal of Production Research 40(16): 4059–4075.
   Web of Science ®Google Scholar
• Neumann, W. P., J. Winkel, L. Medbo, R. Magneberg, and S. E. Mathiassen. 2006. “Production System Design Elements Influencing Productivity and Ergonomics – a Case Study of Parallel and Serial Flow Strategies.” International Journal of Operations & Production Management 26(8): 904–923.
   Web of Science ®Google Scholar
• Ohno, T. 1988. Toyota Production System: beyond Large-scale Production. Portland, ME: Productivity Inc.
   Google Scholar
• Oxenburgh, M., P. Marlow, and A. Oxenburgh. 2004. Increasing Productivity and Profit through Health and Safety. London: Taylor & Francis.
   Google Scholar
• Park, P. S. 1990. “A Study of Labor Assignment Rules with Bottlenecks.” Omega 18(3): 247.
   Web of Science ®Google Scholar
• Park, P. S., and P. M. Bobrowski. 1989. “Job Release and Labor Flexibility in a Dual Resource Constrained Job Shop.” Journal of Operations Management 8(3): 230–249.
   Google Scholar
• Pfeffer, J. 1994. “Competitive Advantage through People.” California Management Review 36(2): 9–28.
   Web of Science ®Google Scholar
• Phelan, S. E. 1999. “A Note on the Correspondence between Complexity and Systems Theory.” Systemic Practice and Action Research 12: 237–246.
   Web of Science ®Google Scholar
• Punnett, L. 1999. “The Costs of Work-related Musculoskeletal Disorders in Automotive Manufacturing.” New Solutions: a Journal of Environmental and Occupational Health Policy 9(4): 403–426.
   PubMedGoogle Scholar
• Safizadeh, M., L. Ritzman, and D. Mallick. 2000. “Revisiting Alternative Theoretical Paradigms in Manufacturing Strategy.” Production and Operations Management 9(2): 111–126.
   Web of Science ®Google Scholar
• Salum, Latif, and Özlem Uzun Araz. 2009. “Using the When/Where Rules in Dual Resource Constrained Systems for a Hybrid Push-pull Control.” International Journal of Production Research 47(6): 1661–1677.
   Web of Science ®Google Scholar
• Santos E. and Resnick M. L. 1999. “The Effects of Fatigue on Quality and Productivity in Repetitive Tasks.” In Proceedings of the 8th Annual Industrial Engineering Research Conference. Institute of Industrial Engineers.
   Google Scholar
• Sethi, A. K., and S. P. Sethi. 1990. “Flexibility in Manufacturing: a Survey.” International Journal of Flexible Manufacturing Systems 2(3): 289–338.
   Google Scholar
• Siebers P. O. 2004. “The Impact of Human Performance Variation on The Accuracy of Manufacturing System Simulation Models.” PhD diss, School of Industrial and Manufacturing Science, Cranfield University.
   Google Scholar
• Siebers, P. O. 2006. “Worker Performance Modeling in Manufacturing Systems Simulation: Proposal for an Agent-based Approach.” In Handbook of Research on Nature Inspired Computing for Economics and Management, edited by J. P. Rennard. Hershey, PA: Idea Group Publishing.
   Google Scholar
• Siebers, P. O., and U. Aickelin. 2008. “Introduction to Multi-agent Simulation.” In Encyclopedia of Decision Making and Decision Support Technologies, edited by F. Adam and P. Humphreys, 554–564. Pennsylvania: Idea Group Publishing.
   Google Scholar
• Siebers, P. O., U. Aickelin, H. Celia, and C. W. Clegg. 2010. “Simulating Customer Experience and Word-of-mouth in Retail – a Case Study. Simulation: Transactions of the Society for Modeling and Simulation.” International 86: 5–30.
   Google Scholar
• Slomp, Jannes, and Eric Molleman. 2002. “Cross-training Policies and Team Performance.” International Journal of Production Research 40(5): 1193–1219.
   Web of Science ®Google Scholar
• Stanton, N. A., and C. Baber. 2003. “On the Cost-effectiveness of Ergonomics.” Applied Ergonomics 34(5): 407–411.
   PubMed Web of Science ®Google Scholar
• Studenmund, A. H. 2010. Using Econometrics: A Practical Guide. Sixth edition. Lebanon, Indiana: Prentice Hall.
   Google Scholar
• Treleven, M. D. 1989. “A Review of Dual Resource Constrained System Research.” IIE Transactions 21(3): 279–287.
   Web of Science ®Google Scholar
• Treleven, M. D., and D. A. Elvers. 1985. “An Investigation of Labor Assignment Rules in a Dual-constrained Job Shop.” Journal of Operations Management 6(1): 51–68.
   Google Scholar
• Tucker, P. 2003. “The Impact of Rest Break upon Accident Risk, Fatigue and Performance: a Review.” Work & Stress 12(2): 123–137.
   Web of Science ®Google Scholar
• Tukey, J. W. 1977. Exploratory Data Analysis. Reading, Massachusetts: Addison-Wesley.
   Google Scholar
• Volberda, H. M. 1998. Building the Flexible Firm: How to Remain Competitive. London: Oxford University Press.
   Google Scholar
• Weeks, J. K., and J. S. Fryer. 1976. “A Simulation Study of Operating Policies in a Hypothetical Dual-constrained Job Shop.” Management Science 22(12): 1362–1371.
   Web of Science ®Google Scholar
• Wernerfelt, B., and A. Karnani. 1987. “Competitive Strategy under Uncertainty.” Strategic Management Journal 8(2): 187–194.
   Web of Science ®Google Scholar
• Wild, K. A. Y. 1975. “On the Selection of Mass Production Systems.” International Journal of Production Research 13(5): 443–461.
   Google Scholar
• Wilke, H., and H. Meertens. 1994. Group Performance. London: Routledge.
   Google Scholar
• Williamson, A., D. A. Lombardi, S. Folkard, J. Stutts, T. K. Courtney, and J. Connor. 2011. “The Links between Fatigue and Safety.” Accident Analysis & Prevention 43: 498–515.
   PubMed Web of Science ®Google Scholar
• Wilson, J. R. 2000. “Fundamentals of Ergonomics in Theory and Practice.” Applied Ergonomics 31(6): 557–567.
   PubMed Web of Science ®Google Scholar
• Wirojanagud, P., E. S. Gel, J. W. Fowler, and R. Cardy. 2007. “Modelling Inherent Worker Differences for Workforce Planning.” International Journal of Production Research 45(3): 525–553.
   Web of Science ®Google Scholar
• Wooldridge, M., and N. Jennings. 1995. “Intelligent Agents: Theory and Practice.” The Knowledge Engineering Review 10: 115–152.
   Web of Science ®Google Scholar
• Yang, J., and M. F. Posner. 2010. “Flow Shops with WIP and Value Added Costs.” Journal of Scheduling 13(1): 3–16.
   Web of Science ®Google Scholar
• Zamiska, J. R., M. Y. Jaber, and H. V. Kher. 2007. “Worker Deployment in Dual Resource Constrained Systems with a Task-type Factor.” European Journal of Operational Research 177(3): 1507–1519.
   Web of Science ®Google Scholar