Abstract
During the last half decade, the metal industry has been in a harsh situation seeing their profit margins squeezed to an extreme. Many companies have been forced to close down furnaces and plants. To help a major metal producing company manage this process, we developed a strategic mixed integer programming model. The main decisions addressed by the model involve the future plant structure and production capacities, the production portfolio at each plant and the by-product production. Here, we present the underlying MIP-model and give computational results. In addition, we show how the valuable by-product production can have impact on the optimal supply chain design.
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References
B.C. Arntzen, G.G. Brown, T.P. Harrison, and L.L. Trafton. Global supply chain management at Digital Equipment Corporation. Interfaces, 25(1):69–93, 1995.
R.H. Ballou and J.M. Masters. Commercial software for locating warehouses and other facilities. J. Bus. Logist., 14(2):71–107, 1993.
D. Bredstrom, J.T. Lundgren, M. Ronnqvist, D. Carlsson, and A. Mason. Supply chain optimization in the pulp mill industry — IP models, column generation and novel constraint branches. European J. Oper. Res., 156(1):2–22, 2004.
G.G. Brown, G.W. Graves, and M.D. Honczarenko. Design and operation of a multicommodity production/distribution system using primal goal decomposition. Manag. Sci., 33(11):1469–1480, 1987.
C. Canel and S.R. Das. The uncapacitated multi-period facilities location problem with profit maximization. Int. J. Phys. Distrib. Logist. Manag., 29(6):409–433, 1999.
D. Carlsson and M. Ronnqvist. Supply chain management in forestry-case studies at Sodra Cell ab. European J. Oper. Res., 163(3):589–616, 2005.
M.A. Cohen and S. Moon. An integrated plant loading model with economies of scale and scope. European J. of Oper. Res., 50(3):266–279, 1991.
M.M. Cohen, M. Fisher, and R. Jaikumar. International manufacturing and distribution design networks: A normative model framework. In K. Ferdows, editor, Managing International Manufacturing, pages 67–93. Elsevier Science Publishers B.V (North-Holland), 1989.
Dash Optimization. Xpress-Optimizer reference manual, release 14, 2002.
A.M. Geoffrion and G.W. Graves. Multicommodity distribution system design by Benders Decomposition. Manag. Sci., 5(5):822–844, 1974.
A.M. Geoffrion and R.F. Powers. Twenty years of strategic distribution system design: An evolutionary perspective. Interfaces, 25(5):105–128, 1995.
H. Gunnarsson, M. Ronnqvist, and J.T. Lundgren. Supply chain modelling of forest fuel. European J. Oper. Res., 158(1):103–123, 2004.
J. Harkness and C. ReVelle. Facility location with increasing production costs. European J. Oper. Res., 145(1):1–13, 2003.
A. Philpott and G. Everett. Supply chain optimisation in the paper industry. Ann. Oper. Res., 108(1–4):225–237, 2001.
M. Ronnqvist. Optimization in forestry. Math. Program., 97(1–2):267–284, 2003.
J.F. Shapiro. On the connections among activity-based costing, mathematical programming models for analyzing strategic decisions, and the resource-based view of the firm. European J. Oper. Res., 118(2):295–314, 1999.
J.F. Shapiro, Vijay M. Singhal, and S.N. Wagner. Optimizing the value chain. Interfaces, 23(2):102–117, 1993.
G.L. Sinha, B.S. Chandrasekaran, N. Mitter, G. Dutta, S.B. Singh, A.R. Choudhury, and P.N. Roy. Strategic and operational management with optimization at Tata Steel. Interfaces, 25(1):6–19, 1995.
C.H. Timpe and J. Kallrath. Optimal planning in large multi-site production networks. European J. Oper. Res., 126(2):422–435, 2000.
N.L. Ulstein, M. Christiansen, R. Gronhaug, N. Magnussen, and M.M. Solomon. Elkem uses optimization in redesigning its supply chain. Interfaces 34(4):314–325, 2006.
V. Verter. An integrated model for facility location and technology acquisition. Comput. Oper. Res., 29(6):583–592, 2002.
V. Verter and A. Dasci. The plant location and flexible technology acquisition problem. European J. Oper. Res., 136(2):366–382, 2002.
A. Warszawski. Multi-dimensional location problems. Oper. Res. Q., 24(2):165–179, 1973.
L.A. Wolsey. MIP modelling of changeovers in production planning and scheduling problems. European J. Oper. Res., 99(1):154–165, 1997.
H. Yan, Z. Yu, and T.C. Edwin Cheng. A strategic model for supply chain design with logical constraints: formulation and solution. Comput. Oper. Res., 30(14):2135–2155, 2003.
J. Zhang, Z. Liu, and Z. Ma. Some reverse location problems. European J. Oper. Res., 124(1):77–88, 2000.
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Christiansen, M., Grønhaug, R. (2007). The Impacts of By-products on Optimal Supply Chain Design. In: Hasle, G., Lie, KA., Quak, E. (eds) Geometric Modelling, Numerical Simulation, and Optimization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68783-2_15
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DOI: https://doi.org/10.1007/978-3-540-68783-2_15
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