Multi objective outbound logistics network design for a manufacturing supply chain

Journal of Intelligent Manufacturing

Volumn 24, Issue 6, 2013, Pages 1071-1084

  Hiremath, N C ^a   Sahu, Sadananda ^a   Tiwari, Manoj Kumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Manufacturing supply chain; Mixed integer linear programming; Multiobjective genetic algorithm; NSGA II; Outbound logistics network (OLN); Outbound logistics network design (OLND)

Indexed keywords

COMBINATORIAL OPTIMIZATION PROBLEMS; MIXED INTEGER LINEAR PROGRAMMING; MIXED INTEGER LINEAR PROGRAMMING PROBLEMS; MULTI-OBJECTIVE GENETIC ALGORITHM; NON-DOMINATED SORTING GENETIC ALGORITHM - II; NSGA-II; OUTBOUND LOGISTICS; REGIONAL DISTRIBUTION CENTERS;

GENETIC ALGORITHMS; INDUSTRY; LINEAR PROGRAMMING; SUPPLY CHAINS; WAREHOUSES;

DESIGN;

EID: 84888637834     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-012-0635-8     Document Type: Article

References (55)

1. Altiparamak F.; Gen M.; Lin L.; Paksoy T. (2006) A genetic algorithm approach for multi-objective optimization of supply chain networks. Computers and Industrial Engineering 51(1): 196-215
2. Altiparmak F.; Gen M.; Lin L.; Karaoglan I. (2009) A steady state genetic algorithm for multi-product supply chain network design. Computers and Industrial Engineering 56(2): 521-537
3. Amiri A. (2006) Designing a distribution network in a supply chain system: Formulation and efficient solution procedure. European Journal of Operational Research 171(2): 567-576
4. Amodeo L.; Chen H.; El Hadji A. (2008) Supply chain inventory optimization with multiple objectives: An industrial case study. Studies in Computational Intelligence 144: 211-230
5. Bachlaus M.; Pandey M. K.; Mahajan C.; Shankar R.; Tiwari M.K. (2008) Designing an integrated multi-echelon agile supply chain network: A hybrid taguchi-particle swarm optimization approach. Journal of Intelligent Manufacturing 19(6): 747-761
6. Bhattacharya R.; Bandyopadhyay S. (2010) Solving conflicting bi-objective facility location problem by NSGA II evolutionary algorithm. International Journal of Advanced Manufacturing Technology 51(1-4): 397-414
7. Bilgen B.; Günther H. O. (2010) Integrated production and distribution planning in the fast moving consumer goods industry: A block planning application. OR Spectrum 32: 927-955
8. Chandra C.; Grabis J. (2009) Configurable supply chain: Framework, methodology and application. International Journal of Manufacturing Technology and Management 17(1-2): 5-22
9. Chandra C.; Kamrani A. K. (2003) Knowledge management for consumer-focused product design. Journal of Intelligent Manufacturing 14: 557-580
10. Cheng F.; Ye F. (2011) A two objective optimisation model for order splitting among parallel suppliers. International Journal of Production Research 49(10): 2759-2769
11. Cheng F.; Ye F.; Yang J. (2009) Multi-objective optimization of collaborative manufacturing chain with time-sequence constraints. International Journal of Advanced Manufacturing Technology 40: 1024-1032
12. Chopra S.; Meindl P.; Kalra D.V. (2008) Supply chain management (2nd ed). Dorling Kindersley (India) Pvt. Ltd. (Licensee of Pearson Education), New Delhi
13. Cintron A.; Ravindran A. R.; Ventura J. A. (2010) Multi-criteria mathematical model for designing the distribution network of a consumer goods company. Computers and Industrial Engineering 58(4): 584-593
14. Coello C. C. A. (1999) A comprehensive survey of evolutionary-based multi-objective optimization techniques. Knowledge and Information Systems: An International Journal 1(3): 269-308
15. Deb K. (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester
16. Deb K.; Pratap A.; Agarwal S.; Meyarivan T. (2002) A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2): 182-197
17. Ding H.; Benyoucef L.; Xie X. (2006) A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization. Engineering Applications of Artificial Intelligence 19(6): 609-623
18. Dogan K.; Goetschalckx M. (1999) A primal decomposition method for the integrated design of production-distribution systems. IIE Transactions (Institute of Industrial Engineers) 31(11): 1027-1036
19. ElMaraghy H.A.; Majety R. (2008) Integrated supply chain design using multi-criteria optimization. International Journal of Advanced Manufacturing Technology 37: 371-399
20. Farahani R. Z.; Elahipanah M. (2008) A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain. International Journal of Production Economics 111(2): 229-243
21. Gebennini E.; Gamberini R.; Manzini R. (2009) An integrated production-distribution model for the dynamic location and allocation problem with safety stock optimization. International Journal of Production Economics 122(1): 286-304
22. Gen M.; Altiparmak F.; Lin L. (2006) A genetic algorithm for two-stage transportation problem using priority-based encoding. OR Spectrum 28(3): 337-354
23. Goetschalckx, M. (2008). Distribution system design. In G. Don Taylor (Ed.), Logistics engineering handbook. Florida: Taylor and Francis Group (CRC Press).
24. Goetschalckx M.; Vidal C.J.; Dogan K. (2002) Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms. European Journal of Operational Research 143(1): 1-18
25. Goldberg D. E. (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, New York
26. Ioannou G. (2005) Streamlining the supply chain of the Hellenic sugar industry. Journal of Food Engineering 70(3): 323-332
27. Jawahar N.; Balaji A. N. (2009) A genetic algorithm for the two-stage supply chain distribution problem associated with a fixed charge. European Journal of Operational Research 194(2): 496-537
28. Jayaraman V.; Ross A. (2003) A simulated annealing methodology to distribution network design and management. European Journal of Operational Research 144(3): 629-645
29. Jiao J.; Simpson T. W.; Siddique Z. (2007) Product family design and platform-based product development: A state-of-the-art review. Journal of Intelligent Manufacturing 18: 5-29
30. Kauder S.; Meyr H. (2009) Strategic network planning for an international automotive manufacturer-balancing flexibility and economical efficiency. OR Spectrum 31: 507-532
31. Kazemi A.; Fazel Zarandi M. H.; Moattar Husseini S. M. (2009) A multi-agent system to solve the production-distribution planning problem for a supply chain: A genetic algorithm approach. International Journal of Advanced Manufacturing Technology 44(1-2): 180-193
32. Kim J.; Moon I. (2008) Strategic design of hydrogen infrastructure considering cost and safety using multiobjective optimization. International Journal of Hydrogen Energy 33(21): 5887-5896
33. Konak A.; Coit D. W.; Smith A. E. (2006) Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering and System Safety 91: 992-1007
34. Koo L. Y.; Adhitya A.; Srinivasan R.; Karimi I. A. (2008) Decision support for integrated refinery supply chains. Part 2: Design and operation. Computers and Chemical Engineering 32(11): 2787-2800
35. Liao S.; Hsieh C.; Lin Y. (2011) A multi-objective evolutionary optimization approach for an integrated location-inventory distribution network problem under vendor-managed inventory system. Annals of Operations Research 186(1): 213-229
36. Lim S. J.; Jeong S. J.; Kim K. S.; Park M. W. (2006) Hybrid approach to distribution planning reflecting a stochastic supply chain. International Journal of Advanced Manufacturing Technology 28: 618-625
37. Lin L.; Mitsuo G.; Xiaoguang W. (2009) Integrated multistage logistics network design by using hybrid evolutionary algorithm. Computers and Industrial Engineering 56: 854-873
38. Luh G. C.; Chueh C. H.; Liu W. W. (2003) MOIA: Multi-objective immune algorithm. Engineering Optimization 35(2): 143-164
39. Manzini R.; Bindi F. (2009) Strategic design and operational management optimization of a multi stage physical distribution system. Transportation Research Part E: Logistics and Transportation Review 45(6): 915-936
40. Manzini R.; Gebennini E. (2008) Optimization models for the dynamic facility location and allocation problem. International Journal of Production Research 46(8): 2061-2086
41. Manzini R.; Gamberi M.; Gebennini E.; Regattieri A. (2008) An integrated approach to the design and management of a supply chain system. International Journal of Advanced Manufacturing Technology 37: 625-640
42. Melo M. T.; Nickel S.; Saldanha-da-Gama F. (2009) Facility location and supply chain management - A review. European Journal of Operational Research 196(2): 401-412
43. Paksoy T.; Cavlak E. B. (2011) Development and optimization of a new linear programming model for production/distribution network of an edible vegetable oil manufacturer. Journal of Logistics Systems and Management 9(1): 1-21
44. Pishvaee M. S.; Farahani R. Z.; Dullaert W. (2010) A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Computers and Operations Research 37(6): 1100-1112
45. Rabbani M.; Tavakkoli-Moghaddam R.; Parsa H. (2008) A new mathematical model for a distribution network problem in a multi-product supply chain system: A real case study. International Journal of Manufacturing Technology and Management 15(1): 1-11
46. Sarkar D.; Modak J. M. (2005) Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm. Chemical Engineering Science 60: 481-492
47. Sarmiento A. M.; Nagi R. (1999) A review of integrated analysis of production-distribution systems. IIE Transactions (Institute of Industrial Engineers) 31(11): 1061-1074
48. Serrano V.; Alvarado M.; Coello C. A. (2007) Optimization to manage supply chain disruptions using the NSGA-II. Advances in Soft Computing 42: 476-485
49. Shen Z.-J. Max, Daskin M. S. (2005) Trade-offs between customer service and cost in integrated supply chain design. Manufacturing and Services Operations Management 7(3): 188-207
50. Srinivas N.; Deb K. (1995) Multi-objective function optimisation using non-dominated sorting in genetic algorithms. Evolutionary Computations 2(3): 221-248
51. Syarif A.; Gen M. (2003) Hybrid genetic algorithm for production/distribution system in supply chain. International Journal of Smart Engineering System Design 5(4): 289-298
52. Syarif A.; Yun Y.; Gen M. (2002) Study on multi-stage logistic chain network: A spanning tree-based genetic algorithm approach. Computers and Industrial Engineering 43(1-2): 299-314
53. Thanh P. N.; Bostel N.; Peton O. (2008) A dynamic model for facility location in the design of complex supply chains. International Journal of Production Economics 113(2): 678-693
54. Tiwari M. K.; Raghavendra N.; Agrawal S.; Goyal S.K. (2010) A hybrid Taguchi-immune approach to optimize an integrated supply chain design problem with multiple shipping. European Journal of Operational Research 203(1): 95-106
55. Vidal C.; Goetschalckx M. (1997) Strategic production-distribution models: A critical review with emphasis on global supply chain models. European Journal of Operational Research 98: 1-18