The Value of Operational Flexibility in the Presence of Input and Output Price Uncertainties with Oil Refining Applications

References

• Akram QF (2009) Commodity prices, interest rates and the dollar. Energy Econom. 31(6):838–851.Crossref, Google Scholar
• Ashayeri J, van Eijs AGM, Nederstigt P (1994) Blending modeling in process manufacturing: A case study. Eur. J. Oper. Res. 72(3): 460–468.Crossref, Google Scholar
• Bitran GR, Gilbert SM (1994) Co-production processes with random yields in the semiconductor industry. Oper. Res. 42(3):476–491.Link, Google Scholar
• Bitran GR, Leong T-Y (1992) Deterministic approximations to co-production problems with service constraints and random yields. Management Sci. 38(5):724–742.Link, Google Scholar
• Boyabatlı O (2015) Supply management in multiproduct firms with fixed proportions technology. Management Sci. Forthcoming.Link, Google Scholar
• Boyabatlı O, Kleindorfer PR, Koontz SR (2011) Integrating long-term and short-term contracting in beef supply chains. Management Sci. 57(10):1771–1787.Link, Google Scholar
• Candler W (1991) Coal blending—with acceptance sampling. Comput. Oper. Res. 18(7):591–596.Crossref, Google Scholar
• Chod J, Rudi N (2005) Resource flexibility with responsive pricing. Oper. Res. 53(3):532–548.Link, Google Scholar
• Chod J, Pyke D, Rudi N (2010a) The value of flexibility in make-to-order systems: The effect of demand correlation. Oper. Res. 58(4, Part 1):834–848.Link, Google Scholar
• Chod J, Rudi N, Van Mieghem JA (2010b) Operational flexibility and financial hedging: Complements or substitutes? Management Sci. 56(6):1030–1045.Link, Google Scholar
• Chod J, Rudi N, Van Mieghem JA (2012) Mix, time, and volume flexibility: Valuation and corporate diversification. Rev. Bus. Econom. Literature 57(3):262–282.Google Scholar
• CONCAWE (1998) Heavy fuel oils. Technical Report 98/109, CONCAWE, Brussels.Google Scholar
• Cryer JD, Chan K-S (2008) Time Series Analysis: With Applications in R, 2nd ed. (Springer, New York).Crossref, Google Scholar
• Devalkar SK, Anupindi R, Sinha A (2011) Integrated optimization of procurement, processing, and trade of commodities. Oper. Res. 59(6):1369–1381.Link, Google Scholar
• Dixit AK, Pindyck RS (1994) Investment Under Uncertainty (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Dixon PB, Osborne S, Rimmer MT (2007) The economy-wide effects in the United States of replacing crude petroleum with biomass. Working paper, Monash University, Clayton, VIC, Australia.Crossref, Google Scholar
• Dong L, Liu H (2007) Equilibrium forward contracts on nonstorable commodities in the presence of market power. Oper. Res. 55(1):128–145.Link, Google Scholar
• Favennec JP (2003) Petroleum Refining V.5: Refinery Operations and Management (Editions Technip, Paris).Google Scholar
• Gaglioppa F, Miller LA, Benjaafar S (2008) Multitask and multistage production planning and scheduling for process industries. Oper. Res. 56(4):1010–1025.Link, Google Scholar
• Gary JH, Handwerk GE (1984) Petroleum Refining Technology and Economics, 2nd ed. (Marcel Dekker, New York).Google Scholar
• Goel A, Gutierrez G (2006) Integrating commodity markets in the optimal procurement policies of a stochastic inventory system. Working paper, University of Texas at Austin, Austin.Google Scholar
• Goyal M, Netessine S (2011) Volume flexibility, product flexibility, or both: The role of demand correlation and product substitution. Manufacturing Service Oper. Management 13(2):180–193.Link, Google Scholar
• Hsu A, Bassok Y (1999) Random yield and random demand in a production system with downward substitution. Oper. Res. 47(2):277–290.Link, Google Scholar
• Karmarkar US, Rajaram K (2001) Grade selection and blending to optimize cost and quality. Oper. Res. 49(2):271–280.Link, Google Scholar
• Kazaz B (2008) Pricing and production planning under supply uncertainty. Working paper, Syracuse University, Syracuse, NY.Google Scholar
• Kilian L (2009) Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. Amer. Econom. Rev. 99(3):1053–1069.Crossref, Google Scholar
• Kilian L (2010) Explaining fluctuations in gasoline prices: A joint model of the global crude oil market and the U.S. retail gasoline market. Energy J. 31(2):87–104.Crossref, Google Scholar
• Majozi T, Zhu XX (2001) A novel continuous-time MILP formulation for multipurpose batch plants. 1. Short-term scheduling. Indust. Engrg. Chemistry Res. 40(25):5935–5949.Crossref, Google Scholar
• Maravelias CT, Grossmann IE (2003) Minimization of the makespan with a discrete-time state-task network formulation. Indust. Engrg. Chemistry Res. 42:6252–6257.Crossref, Google Scholar
• Martin CH, Lubin SL (1985) Optimization modeling for business planning at Trumbull Asphalt. Interfaces 15(6):66–72.Link, Google Scholar
• Neumann K, Schwindt C, Trautmann N (2003) Advanced production scheduling for batch plants in process industries. Gunther HO, van Beek P, eds. Advanced Planning and Scheduling Solutions in Process Industry (Springer-Verlag, Berlin), 43–71.Crossref, Google Scholar
• O’Brien RD (2010) Soybean oil modification. Johnson LA, White PJ, Galloway R, eds. Soybeans: Chemistry, Production Processing, and Utilization, Vol. 2, Chap. 13 (AOCS Publishing, Champaign, IL).Google Scholar
• Secomandi N (2010) Optimal commodity trading with a capacitated storage asset. Management Sci. 56(3):449–467.Link, Google Scholar
• Summers D (2006) Getting gas from crude. Oil Drum (March 13) http://www.theoildrum.com/story/2006/3/13/11938/9181.Google Scholar
• Symonds GH (1955) Linear Programming: The Solution of Refinery Problems (Esso Standard Oil Company, New York).Google Scholar
• Tomlin B, Wang Y (2008) Pricing and operational recourse in coproduction systems. Management Sci. 54(3):522–537.Link, Google Scholar
• Wu OQ, Chen H (2010) Optimal control and equilibrium behavior of production-inventory systems. Management Sci. 56(8):1362–1379.Link, Google Scholar