Process Flexibility in Baseball: The Value of Positional Flexibility

References

• Alderson DL, Brown GG, Carlyle WM, Wood RK (2011) Solving defender-attacker-defender models for infrastructure defense. Wood RK, Dell RF, eds. Proc. 12th INFORMS Comput. Soc. Conf.: Res., Comput., and Homeland Defense (INFORMS, Hanover, MD), 28–49.Crossref, Google Scholar
• Bandi C, Bertsimas D (2012) Tractable stochastic analysis in high dimensions via robust optimization. Math. Programming 134(1): 23–70.Crossref, Google Scholar
• Bassamboo A, Randhawa RS, Van Mieghem JA (2011) A little flexibility is all you need: On the asymptotic value of flexible capacity in parallel queuing systems. Oper. Res. 60(6):1423–1435.Link, Google Scholar
• Brown G, Carlyle M, Salmeron J, Wood K (2006) Defending critical infrastructure. Interfaces 36(6):530–544.Link, Google Scholar
• Brown GG, Carlyle WM, Harney RC, Skroch EM, Wood RK (2009) Interdicting a nuclear-weapons project. Oper. Res. 57(4):866–877.Link, Google Scholar
• Brusco M, Johns T (1998) Staffing a multiskilled workforce with varying levels of productivity: An analysis of cross-training policies. Decision Sci. 29(2):499–515.Crossref, Google Scholar
• Chan TCY, Fearing DS (2013) The value of flexibility in baseball roster construction. Proc. 2013 MIT Sloan Sports Anal. Conf., Boston.Google Scholar
• Chou M, Teo C-P, Zheng H (2008) Process flexibility: Design, evaluation, and applications. Flexible Services Manufacturing J. 20(1):13–58.Google Scholar
• Chou M, Teo C-P, Zheng H (2011) Process flexibility revisited: The graph expander and its applications. Oper. Res. 59(5):1090–1105.Link, Google Scholar
• Chou MC, Chua GA, Teo C-P (2010a) On range and response: Dimensions of process flexibility. Eur. J. Oper. Res. 207(2):711–724.Crossref, Google Scholar
• Chou MC, Chua GA, Teo C-P, Zheng H (2010b) Design for process flexibility: Efficiency of the long chain and sparse structure. Oper. Res. 58(1):43–58.Link, Google Scholar
• Deng T, Shen Z-JM (2013) Process flexibility design in unbalanced networks. Manufacturing Service Oper. Management 15(1):24–32.Link, Google Scholar
• FanGraphs (2013a) 2012 UZR. Accessed January 10, 2013, http://www.fangraphs.com/leaders.aspx?pos=all&stats=fld&lg=all&qual=0&type=1&season=2012&month=0&season1=2012&ind=0&team=0&rost=0&age=0&filter=&players=0.Google Scholar
• FanGraphs (2013b) Linear weights. Accessed January 10, 2013, http://www.fangraphs.com/library/index.php/principles/linear-weights/.Google Scholar
• FanGraphs (2013c) Positional adjustment. Accessed January 10, 2013, http://www.fangraphs.com/library/misc/war/positional-adjustment/.Google Scholar
• FanGraphs (2013d) Ultimate zone rating (UZR). Accessed January 10, 2013, http://www.fangraphs.com/library/defense/uzr/.Google Scholar
• FanGraphs (2015) What is WAR? Accessed October 23 2015, http://www.fangraphs.com/library/misc/war/.Google Scholar
• Ganeshapillai G, Guttag J (2014) A data-driven method for in-game decision making in MLB. Proc. 2014 MIT Sloan Sports Anal. Conf., Boston.Google Scholar
• Graves SC, Tomlin BT (2003) Process flexibility in supply chains. Management Sci. 49(7):907–919.Link, Google Scholar
• Gurumurthi S, Benjaafar S (2004) Modeling and analysis of flexible queuing systems. Naval Res. Logist. 51(5):755–782.Crossref, Google Scholar
• Hopp WJ, Iravani SMR, Xu WL (2010) Vertical flexibility in supply chains. Management Sci. 56(3):495–502.Link, Google Scholar
• Hopp WJ, Tekin E, Van Oyen MP (2004) Benefits of skill chaining in serial production lines with cross-trained workers. Management Sci. 50(1):83–98.Link, Google Scholar
• Horst R, Pardalos PM, Thoai NV (2000) Introduction to Global Optimization, 2nd ed. (Kluwer, Boston).Crossref, Google Scholar
• Iravani SM, Van Oyen MP, Sims KT (2005) Structural flexibility: A new perspective on the design of manufacturing and service operations. Management Sci. 51(2):151–166.Link, Google Scholar
• James B (1977) Baseball Abstract (self-published).Google Scholar
• Jordan WC, Graves SC (1995) Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.Link, Google Scholar
• Major League Baseball (2015) Official baseball rules. Accessed October 23 2015, http://mlb.mlb.com/mlb/downloads/y2015/official_baseball_rules.pdf.Google Scholar
• Mak HY, Shen ZJM (2009) Stochastic programming approach to process flexibility design. Flexible Services Manufacturing J. 21(3):75–91.Crossref, Google Scholar
• Simchi-Levi D, Wei Y (2012) Understanding the performance of the long chain and sparse designs in process flexibility. Oper. Res. 60(5):1125–1141.Link, Google Scholar
• Simchi-Levi D, Wei Y (2015) Worst-case analysis of process flexibility designs. Oper. Res. 63(1):166–185.Link, Google Scholar
• Simchi-Levi D, Wang H, Wei Y (2018) Increasing supply chain robustness through process flexibility and inventory. Production Oper. Management 27(8):1476–1491.Crossref, Google Scholar
• Streib N, Young SJ, Sokol J (2011) A Major League Baseball team uses operations research to improve draft preparation. Interfaces 42(2):119–130.Link, Google Scholar
• Szymborski D (2012) 2012 ZiPS projections spreadsheets, v.1. Baseball Think Factory Posted February 22, 2012, http://www. baseballthinkfactory.org/oracle/discussion/2012_zips_projections_spreadsheets_v._1.Google Scholar
• Tang C, Tomlin B (2008) The power of flexibility for mitigating supply chain risks. Internat. J. Production Econom. 116(1):12–27.Crossref, Google Scholar
• Trick MA, Yildiz H, Yunes T (2011) Scheduling Major League Baseball umpires and the traveling umpire problem. Interfaces 42(3):232–244.Link, Google Scholar
• Tsitsiklis JN, Xu K (2012) On the power of (even a little) resource pooling. Stochastic Systems 2(1):1–66.Link, Google Scholar
• Wallace RB, Whitt W (2005) A staffing algorithm for call centers with skill-based routing. Manufacturing Service Oper. Management 7(4):276–294.Link, Google Scholar
• Wang X, Zhang J (2015) Process flexibility: A distribution-free bound on the performance of k-chain. Oper. Res. 63(3):555–571.Link, Google Scholar
• Woolner K (2000) Baseball’s Hilbert problems. Kahrl C, Davenport C, Sheehan JS, Jazayerli R, eds. Baseball Prospectus 2000 (Potomac Books, Dulles, VA).Google Scholar
• Wyers C (2010) Manufactured runs: Everything you wanted to know about run prevention but were afraid to ask, part 1. Baseball Prospectus (May 19), http://www.baseballprospectus.com/article.php?articleid=10917.Google Scholar
• Yan Z, Gao SY, Teo CP (2018) On the design of sparse but efficient structures in operations. Management Sci. 64(7):3421–3445.Link, Google Scholar
• Zimmerman J (2013) 2013 Disabled list team data. Accessed May 9, 2016, http://www.fangraphs.com/blogs/2013-disabled-list-team-data/.Google Scholar