Dynamic supply chain network design with capacity planning and multi-period pricing

Transportation Research Part E: Logistics and Transportation Review

Volumn 81, Issue , 2015, Pages 169-202

  Fattahi, Mohammad ^a,b   Mahootchi, Masoud ^a   Govindan, Kannan ^b   Moattar Husseini, Seyed Mohammad ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

Capacity planning; Dynamic supply chain network design; Linear relaxation based heuristics; Multi period pricing approach; Simulated annealing

Indexed keywords

NETWORK DESIGN; NUMERICAL MODEL; PRICE DYNAMICS; SIMULATED ANNEALING; TRANSPORTATION DEVELOPMENT; TRANSPORTATION PLANNING;

EID: 84937874358     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2015.06.007     Document Type: Article

References (58)

1. Aboolian R., Berman O., Krass D. Competitive facility location and design problem. Eur. J. Oper. Res. 2007, 182(1):40-62.
2. Aghezzaf E. Capacity planning and warehouse location in supply chains with uncertain demands. J. Oper. Res. Soc. 2005, 56(4):453-462.
3. Ahmadi-Javid A., Ghandali R. An efficient optimization procedure for designing a capacitated distribution network with price-sensitive demand. Optim. Eng. 2014, 15(3):801-817.
4. Ahmadi-Javid A., Hoseinpour P. Incorporating location, inventory and price decisions into a supply chain distribution network design problem. Comput. Oper. Res. 2015, 56(0):110-119.
5. Albareda-Sambola M., Alonso-Ayuso A., Escudero L.F., Fernández E., Pizarro C. Fix-and-relax-coordination for a multi-period location-allocation problem under uncertainty. Comput. Oper. Res. 2013, 40(12):2878-2892.
6. Badri H., Bashiri M., Hejazi T.H. Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method. Comput. Oper. Res. 2013, 40(4):1143-1154.
7. Ballou R.H. Dynamic warehouse location analysis. J. Market. Res. 1968, 271-276.
8. Bashiri M., Badri H., Talebi J. A new approach to tactical and strategic planning in production-distribution networks. Appl. Math. Modell. 2012, 36(4):1703-1717.
9. Bhattacharjee S., Ramesh R. A multi-period profit maximizing model for retail supply chain management: an integration of demand and supply-side mechanisms. Eur. J. Oper. Res. 2000, 122(3):584-601.
10. Canel C., Khumawala B.M., Law J., Loh A. An algorithm for the capacitated, multi-commodity multi-period facility location problem. Comput. Oper. Res. 2001, 28(5):411-427.
11. Correia I., Melo T., Saldanha-da-Gama F. Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions. Comput. Indust. Eng. 2013, 64(1):366-380.
12. Daskin M.S., Snyder L.V., Berger R.T. Facility Location in Supply Chain Design. Logistics Systems: Design and Optimization 2005, Springer, pp. 39-65.
13. Dias J., Eugénia Captivo M., Clímaco J. Efficient primal-dual heuristic for a dynamic location problem. Comput. Oper. Res. 2007, 34(6):1800-1823.
14. Farahani R.Z., Rezapour S., Drezner T., Fallah S. Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 2014, 45:92-118.
15. Fattahi M., Mahootchi M., Mosadegh H., Fallahi F. A new approach for maintenance scheduling of generating units in electrical power systems based on their operational hours. Comput. Oper. Res. 2014, 50:61-79.
16. Fattahi M., Mahootchi M., Moattar Husseini S.M. Integrated strategic and tactical supply chain planning with price-sensitive demands. Ann. Oper. Res. 2015, 1-34. 10.1007/s10479-015-1924-3.
17. Fazel Zarandi M., Mosadegh H., Fattahi M. Two-machine robotic cell scheduling problem with sequence-dependent setup times. Comput. Oper. Res. 2013, 40(5):1420-1434.
18. Felipe Á., Ortuño M.T., Righini G., Tirado G. A heuristic approach for the green vehicle routing problem with multiple technologies and partial recharges. Transport. Res. Part E: Logist. Transport. Rev. 2014, 71(0):111-128.
19. Georgiadis M.C., Tsiakis P., Longinidis P., Sofioglou M.K. Optimal design of supply chain networks under uncertain transient demand variations. Omega 2011, 39(3):254-272.
20. Govindan K. The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory. European Journal of Operational Research 2015, 242(2):402-423.
21. Hamdouch Y. Multi-period supply chain network equilibrium with capacity constraints and purchasing strategies. Transport. Res. Part C: Emerg. Technol. 2011, 19(5):803-820.
22. Hanjoul P., Hansen P., Peeters D., Thisse J.-F. Uncapacitated plant location under alternative spatial price policies. Manage. Sci. 1990, 36(1):41-57.
23. Hansen P., Peeters D., Thisse J.F. Facility location under zone pricing. J. Reg. Sci. 1997, 37(1):1-22.
24. Hinojosa Y., Puerto J., Fernández F.R. A multiperiod two-echelon multicommodity capacitated plant location problem. Eur. J. Oper. Res. 2000, 123(2):271-291.
25. Hinojosa Y., Kalcsics J., Nickel S., Puerto J., Velten S. Dynamic supply chain design with inventory. Comput. Oper. Res. 2008, 35(2):373-391.
26. Karimi-Nasab M., Dowlatshahi S., Heidari H. A multiobjective distribution-pricing model for multiperiod price-sensitive demands. IEEE Trans. Eng. Manage. 2013, 60(3):640-654.
27. Keyvanshokooh E., Fattahi M., Seyed-Hosseini S., Tavakkoli-Moghaddam R. A dynamic pricing approach for returned products in integrated forward/reverse logistics network design. Appl. Math. Modell. 2013, 37(24):10182-10202.
28. Kirkpatrick S. Optimization by simulated annealing: quantitative studies. J. Stat. Phys. 1984, 34(5-6):975-986.
29. Klose A., Drexl A. Facility location models for distribution system design. Eur. J. Oper. Res. 2005, 162(1):4-29.
30. Liu Z., Nagurney A. Multiperiod competitive supply chain networks with inventorying and a transportation network equilibrium reformulation. Optim. Eng. 2012, 13(3):471-503.
31. Longinidis P., Georgiadis M.C. Integration of financial statement analysis in the optimal design of supply chain networks under demand uncertainty. Int. J. Product. Econ. 2011, 129(2):262-276.
32. Melachrinoudis E., Min H. The dynamic relocation and phase-out of a hybrid, two-echelon plant/warehousing facility: a multiple objective approach. Eur. J. Oper. Res. 2000, 123(1):1-15.
33. Melo M.T., Nickel S., Saldanha da Gama F. Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning. Comput. Oper. Res. 2006, 33(1):181-208.
34. Melo M.T., Nickel S., Saldanha-da-Gama F. Facility location and supply chain management - a review. Eur. J. Oper. Res. 2009, 196(2):401-412.
35. Melo M., Nickel S., Saldanha-da-Gama F. A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon. Int. J. Product. Econ. 2012, 136(1):218-230.
36. Melo M.T., Nickel S., Saldanha-da-Gama F. An efficient heuristic approach for a multi-period logistics network redesign problem. Top 2014, 22(1):80-108.
37. Montgomery D.C. Design and Analysis of Experiments 2008, John Wiley & Sons.
38. Nagurney A. Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction. Int. J. Product. Econ. 2010, 128(1):200-208.
39. Nagurney A. Supply chain network design under profit maximization and oligopolistic competition. Transport. Res. Part E: Logist. Transport. Rev. 2010, 46(3):281-294.
40. Nagurney A., Dong J., Zhang D. A supply chain network equilibrium model. Transport. Res. Part E: Logist. Transport. Rev. 2002, 38(5):281-303.
41. Nickel S., Saldanha-da-Gama F., Ziegler H.-P. A multi-stage stochastic supply network design problem with financial decisions and risk management. Omega 2012, 40(5):511-524.
42. Phillips R. Pricing and Revenue Optimization 2005, Stanford University Press.
43. Pimentel B.S., Mateus G.R., Almeida F.A. Stochastic capacity planning and dynamic network design. Int. J. Product. Econ. 2013, 145(1):139-149.
44. Plastria F., Vanhaverbeke L. Discrete models for competitive location with foresight. Comput. Oper. Res. 2008, 35(3):683-700.
45. Plastria F., Vanhaverbeke L. Maximal covering location problem with price decision for revenue maximization in a competitive environment. OR Spectrum 2009, 31(3):555-571.
46. Salema M.I.G., Barbosa-Povoa A.P., Novais A.Q. Simultaneous design and planning of supply chains with reverse flows: a generic modelling framework. Eur. J. Oper. Res. 2010, 203(2):336-349.
47. Scott A.J. Dynamic location-allocation systems: some basic planning strategies. Environ. Plan. 1971, 3(1):73-82.
48. Shen Z.-J.M. A profit-maximizing supply chain network design model with demand choice flexibility. Oper. Res. Lett. 2006, 34(6):673-682.
49. Taguchi, G., 1986. Introduction to quality engineering: designing quality into products and processes.
50. Talluri K.T., Van Ryzin G.J. The Theory and Practice of Revenue Management 2006, springer.
51. Thanh P.N., Bostel N., Péton O. A dynamic model for facility location in the design of complex supply chains. Int. J. Product. Econ. 2008, 113(2):678-693.
52. Thanh P.N., Péton O., Bostel N. A linear relaxation-based heuristic approach for logistics network design. Comput. Indust. Eng. 2010, 59(4):964-975.
53. Velásquez R., Melo M.T., Nickel S. An LP-based Heuristic Approach for Strategic Supply Chain Design. Operations Research Proceedings 2005 2006, Springer, pp. 167-172.
54. Vila D., Martel A., Beauregard R. Designing logistics networks in divergent process industries: a methodology and its application to the lumber industry. Int. J. Product. Econ. 2006, 102(2):358-378.
55. Wagner J., Falkson L. The optimal nodal location of public facilities with price-sensitive demand. Geograph. Anal. 1975, 7(1):69-83.
56. Wilhelm W., Han X., Lee C. Computational comparison of two formulations for dynamic supply chain reconfiguration with capacity expansion and contraction. Comput. Oper. Res. 2013, 40(10):2340-2356.
57. Zhang S. On a profit maximizing location model. Ann. Oper. Res. 2001, 103(1-4):251-260.
58. Zhang Y., Qi M., Miao L., Liu E. Hybrid metaheuristic solutions to inventory location routing problem. Transport. Res. Part E: Logist. Transport. Rev. 2014, 70(0):305-323.