References
- Agnetis, A., J. C. Billaut, S. Gawiejnowicz, D. Pacciarelli, and A. Soukhal. 2014. Multiagent Scheduling: Models and Algorithms. Berlin: Springer.
- Ahmed, S. 2014. “Convex Relaxations of Chance Constrained Optimization Problems.” Optimization Letters 8 (1): 1–12.
- Beretti, A., C. Figuières, and G. Grolleau. 2013. “Using Money to Motivate Both Saints and Sinners: A Field Experiment on Motivational Crowdingout.” Kyklos 66 (1): 63–77.
- Biskup, D. 1999. “Single-machine Scheduling with Learning Considerations.” European Journal of Operational Research 115 (1): 173–178.
- Biskup, D. 2008. “A State-of-the-art Review on Scheduling with Learning Effects.” European Journal of Operational Research 188 (2): 315–329.
- Bruecker, P. D., J. V. D. Bergh, J. Belin, and E. Demeulemeester. 2015. “Workforce Planning Incorporating Skills: State of the Art.” European Journal of Operational Research 243 (1): 1–16.
- Cai, F. 2018. China Must Transcend its Declining Demographic Dividend. East Asia Forum. http://www.eastasiaforum.org/2018/11/12/china-must-transcend-its-declining-demographic-dividend/.
- Calafiore, G. C., and L. El Ghaoui. 2006. “On Distributionally Robust Chance-constrained Linear Programs.” Journal of Optimization Theory & Applications 130 (1): 1–22.
- Che, A., Y. Zeng, and L. Ke. 2016. “An Efficient Greedy Insertion Heuristic for Energy-conscious Single Machine Scheduling Problem Under Time-of-use Electricity Tariffs.” Journal of Cleaner Production129: 565–577.
- Chen, L. G., D. Z. Long, and M. Sim. 2015. “On Dynamic Decision Making to Meet Consumption Targets.” Operations Research 63 (5): 1117–1130.
- Chen, W., M. Sim, J. Sun, and C. P. Teo. 2010. “From CVaR to Uncertainty Set: Implications in Joint Chance-constrained Optimization.” Operations Research 58 (2): 470–485. doi: 10.1287/opre.1090.0712
- Cheng, J., F. Chu, M. Liu, P. Wu, and W. Xia. 2017. “Bi-criteria Single-machine Batch Scheduling with Machine on/off Switching Under Time-of-use Tariffs.” Computers & Industrial Engineering 112: 721–734. doi: 10.1016/j.cie.2017.04.026
- Cheng, T. C. E., W. H. Kuo, and D. L. Yang. 2014. “Scheduling with a Position-weighted Learning Effect.” Optimization Letters 8 (1): 293–306. doi: 10.1007/s11590-012-0574-5
- Cheng, M., P. R. Tadikamalla, J. Shang, and B. Zhang. 2015. “Single Machine Scheduling Problems with Exponentially Time-dependent Learning Effects.” Journal of Manufacturing Systems 34: 60–65. doi: 10.1016/j.jmsy.2014.11.001
- Cover, T. M., and J. A. Thomas. 1991. Elements of Information Theory. New York: Wiley.
- Delage, E., and Y. Ye. 2010. “Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-driven Problems.” Operations Research 58 (3): 595–612. doi: 10.1287/opre.1090.0741
- Deloitte. 2012. Where is China's Manufacturing Industry Going? Deloitte China Manufacturing Competitiveness Study 2011. https://www2.deloitte.com/sk/en/pages/manufacturing/articles/china-manufacturing-industry.html.
- Dysvik, A., and B. Kuvaas. 2010. “Exploring the Relative and Combined Influence of Masteryapproach Goals and Work Intrinsic Motivation on Employee Turnover Intention.” Personnel Review 39 (5): 622–638. doi: 10.1108/00483481011064172
- The Economist. 2012. Demography a Tale of Three Islands. https://www.economist.com/briefing/2011/10/22/a-tale-of-three-islands.
- El Ghaoui, L., M. Oks, and F. Oustry. 2003. “Worst-case Value-at-risk and Robust Portfolio Optimization: A Conic Programming Approach.” Operations Research 51 (4): 543–556. doi: 10.1287/opre.51.4.543.16101
- Garcia, S. M., A. Tor, and T. M. Schiff. 2013. “The Psychology of Competition: A Social Comparison Perspective.” Perspectives on Psychological Science 8 (6): 634–650. doi: 10.1177/1745691613504114
- Hilliard, I. 2013. “Responsible Management, Incentive Systems, and Productivity.” Journal of Business Ethics 118 (2): 365–377. doi: 10.1007/s10551-012-1570-5
- Huang, Y., F. Chu, C. Chu, and Y. Wang. 2012. “Determining the Number of New Employees with Learning, Forgetting and Variable Wage with a Newsvendor Model in Pull Systems.” Journal of Intelligent Manufacturing 23 (1): 73–89. doi: 10.1007/s10845-009-0307-5
- Intelligent Investor. 2007. The Power of Incentives. https://www.intelligentinvestor.com.au/investment-news/the-power-of-incentives/56045.
- Jebali, A., and A. Diabat. 2017. “A Chance-constrained Operating Room Planning with Elective and Emergency Cases Under Downstream Capacity Constraints.” Computers & Industrial Engineering 114: 329–344. doi: 10.1016/j.cie.2017.07.015
- Kuo, W. H., and D. L. Yang. 2006. “Minimizing the Total Completion Time in a Single-machine Scheduling Problem with a Time-dependent Learning Effect.” European Journal of Operational Research 174 (2): 1184–1190. doi: 10.1016/j.ejor.2005.03.020
- Li, G., M. L. Luo, W. J. Zhang, and X. Y. Wang. 2015. “Single-machine Due-window Assignment Scheduling Based on Common Flow Allowance, Learning Effect and Resource Allocation.” International Journal of Production Research 53 (4): 1228–1241. doi: 10.1080/00207543.2014.954057
- Liu, M., X. Liu, F. Chu, F. Zheng, and C. Chu. 2019. “Service-oriented Robust Parallel Machine Scheduling.” International Journal of Production Research 57 (12): 3814–3830. doi: 10.1080/00207543.2018.1497311
- Liu, M., S. Wang, C. Chu, and F. Chu. 2015. “An Improved Exact Algorithm for Single-machine Scheduling to Minimise the Number of Tardy Jobs with Periodic Maintenance.” International Journal of Production Research 53: 3591–3602.
- Liu, M., F. Zheng, S. Wang, and Y. Xu. 2013. “Approximation Algorithms for Parallel Machine Scheduling with Linear Deterioration.” Theoretical Computer Science 497 (18): 108–111. doi: 10.1016/j.tcs.2012.01.020
- Low, C., and W. Y. Lin. 2011. “Minimizing the Total Completion Time in a Single-machine Scheduling Problem with a Learning Effect.” Applied Mathematical Modelling 35 (4): 1946–1951. doi: 10.1016/j.apm.2010.11.006
- Luedtke, J., and S. Ahmed. 2008. “A Sample Approximation Approach for Optimization with Probabilistic Constraints.” SIAM Journal on Optimization 19 (2): 674–699. doi: 10.1137/070702928
- Mourad, N., and J. P. Reilly. 2010. “Minimizing Nonconvex Functions for Sparse Vector Reconstruction.” IEEE Transactions on Signal Processing 58 (7): 3485–3496. doi: 10.1109/TSP.2010.2046900
- Nahm, Y. E.. 2013. “A Novel Approach to Prioritize Customer Requirements in QFD Based on Customer Satisfaction Function for Customer-oriented Product Design.” Journal of Mechanical Science and Technology 27 (12): 3765–3777. doi: 10.1007/s12206-013-0921-1
- Nakandala, D., P. Samaranayake, and H. C. W. Lau. 2013. “A Fuzzy-based Decision Support Model for Monitoring on-time Delivery Performance: A Textile Industry Case Study.” European Journal of Operational Research 225 (3): 507–517. doi: 10.1016/j.ejor.2012.10.010
- Nakao, H., S. Shen, and Z. Chen. 2017. “Network Design in Scarce Data Environment Using Moment-based Distributionally Robust Optimization.” Computers & Operations Research 88: 44–57. doi: 10.1016/j.cor.2017.07.002
- Nemirovski, A., and A. Shapiro. 2006. “Convex Approximations of Chance Constrained Programs.” SIAM Journal on Optimization 17 (4): 969–996. doi: 10.1137/050622328
- Pagnoncelli, B. K., S. Ahmed, and A. Shapiro. 2009. “Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications.” Journal of Optimization Theory & Applications142 (2): 399–416. doi: 10.1007/s10957-009-9523-6
- Park, S. M. 2010. “The Effects of Personnel Reform Systems on Georgia State Employees' Attitudes.” Public Management Review 12 (3): 403–437. doi: 10.1080/14719030903286631
- Pinedo, M., and K. Hadavi. 1992. Scheduling: Theory, Algorithms and Systems Development. Berlin, Heidelberg: Springer.
- Qin, R., D. A. Nembhard, and W. L. Barnes II. 2015. “Workforce Flexibility in Operations Management.” Surveys in Operations Research & Management Science 20 (1): 19–33. doi: 10.1016/j.sorms.2015.04.001
- Rahmani, D., and M. Heydari. 2014. “Robust and Stable Flow Shop Scheduling with Unexpected Arrivals of New Jobs and Uncertain Processing Times.” Journal of Manufacturing Systems 33 (1): 84–92. doi: 10.1016/j.jmsy.2013.03.004
- Rossit, D. A., F. Tohm'e, and M. Frutos. 2018. “Industry 4.0: Smart Scheduling.” International Journal of Production Research 57 (12): 3802–3813. doi: 10.1080/00207543.2018.1504248
- Ruiz-Torres, A. J., F. Mahmoodi, and M. Kuula. 2017. “Quality Assurance Laboratory Planning System to Maximize Worker Preference Subject to Certification and Preference Balance Constraints.” Computers & Operations Research 83: 140–149. doi: 10.1016/j.cor.2017.02.002
- Sekhar, C., M. Patwardhan, and R. K. Singh. 2013. “A Literature Review on Motivation.” Global Business Perspectives 1 (4): 471–487. doi: 10.1007/s40196-013-0028-1
- Sun, H., Z. Gao, W. Y. Szeto, J. Long, and F. Zhao. 2014. “A Distributionally Robust Joint Chance Constrained Optimization Model for the Dynamic Network Design Problem Under Demand Uncertainty.” Networks & Spatial Economics 14 (3–4): 409–433. doi: 10.1007/s11067-014-9236-8
- Toode, K., P. Routasalo, and T. Suominen. 2011. “Work Motivation of Nurses: A Literature Review.” International Journal of Nursing Studies 48 (2): 246–257. doi: 10.1016/j.ijnurstu.2010.09.013
- Wang, J.-B., and M.-Z. Wang 2011. “Worst-case Behavior of Simple Sequencing Rules in Flow Shop Scheduling with General Position-dependent Learning Effects.” Annals of Operations Research 191 (1): 155–169. doi: 10.1007/s10479-011-0923-2
- Wang, J. B., L. Y. Wang, D. Wang, and X. Y. Wang. 2008. “Single-machine Scheduling with a Time-dependent Deterioration.” International Journal of Production Economics 111 (2): 802–811. doi: 10.1016/j.ijpe.2007.03.013
- Wu, C. C., and W. C. Lee. 2008. “Single-machine Scheduling Problems with a Learning Effect.” Applied Mathematical Modelling 32 (7): 1191–1197. doi: 10.1016/j.apm.2007.03.001
- Wu, C. C., D. J. Wang, S. R. Cheng, I. Chung, and W. C. Lin. 2017. “A Two-stage Three-machine Assembly Scheduling Problem with a Position-based Learning Effect.” International Journal of Production Research 56 (9): 3064–3079. doi: 10.1080/00207543.2017.1401243
- Xie, W., and S. Ahmed. 2018. “Distributionally Robust Simple Integer Recourse.” Computational Management Science 15: 351–367. doi: 10.1007/s10287-018-0313-1
- Xinhua. 2013. China's Demographic Dividend Disappearing. China Daily. http://www.chinadaily.com.cn/business/2013-01/28/content16182759.htm.
- Xu, D., Z. Cheng, Y. Yin, and H. Li. 2009. “Makespan Minimization for Two Parallel Machines Scheduling with a Periodic Availability Constraint.” Computers & Operations Research 36 (6): 1809–1812. doi: 10.1016/j.cor.2008.05.001
- Xu, D., K. Sun, and H. Li. 2008. “Parallel Machine Scheduling with Almost Periodic Maintenance and Non-preemptive Jobs to Minimize Makespan.” Computers & Operations Research 35 (4): 1344–1349. doi: 10.1016/j.cor.2006.08.015
- Yang, S. J., and D. L. Yang. 2010. “Minimizing the Total Completion Time in Single-machine Scheduling with Aging/deteriorating Effects and Deteriorating Maintenance Activities.” Computers & Mathematics with Applications 60 (7): 2161–2169. doi: 10.1016/j.camwa.2010.08.003
- Yang, S. J., D. L. Yang, and T. C. E. Cheng. 2010. “Single-machine Due-window Assignment and Scheduling with Job-dependent Aging Effects and Deteriorating Maintenance.” Computers & Operations Research 37 (8): 1510–1514. doi: 10.1016/j.cor.2009.11.007
- Yin, Y., T. C. E. Cheng, J. Xu, S. R. Cheng, and C. C. Wu. 2017. “Single-machine Scheduling with Past-sequence-dependent Delivery Times and a Linear Deterioration.” Journal of Industrial & Management Optimization 9 (2): 323–339. doi: 10.3934/jimo.2013.9.323
- Yin, Y., T. C. E. Cheng, D. Xu, and C. C. Wu. 2012. “Common Due Date Assignment and Scheduling with a Rate-modifying Activity to Minimize the Due Date, Earliness, Tardiness, Holding, and Batch Delivery Cost.” Computers & Industrial Engineering 63 (1): 223–234. doi: 10.1016/j.cie.2012.02.015
- Zhang, Y., R. Jiang, and S. Shen. 2016. Distributionally Robust Chance-constrained Bin Packing. https://arxiv.org/pdf/1610.00035.pdf.
- Zhang, Y., R. Jiang, and S. Shen. 2018. “Ambiguous Chance-constrained Binary Programs Under Mean-covariance Information.” SIAM Journal on Optimization 28 (4): 2922–2944. doi: 10.1137/17M1158707
- Zhang, Y., S. Shen, and S. A. Erdogan. 2017a. “Distributionally Robust Appointment Scheduling with Moment-based Ambiguity Set.” Operations Research Letters 45 (2): 139–144. doi: 10.1016/j.orl.2017.01.010
- Zhang, Y., S. Shen, and S. A. Erdogan. 2017b. “Solving 0–1 Semidefinite Programs for Distributionally Robust Allocation of Surgery Blocks.” Optimization Letters 12 (7): 1503–1521. doi: 10.1007/s11590-018-1255-9
- Zymler, S., D. Kuhn, and B. Rustem. 2013. “Distributionally Robust Joint Chance Constraints with Second-order Moment Information.” Mathematical Programming 137 (1–2): 167–198. doi: 10.1007/s10107-011-0494-7