A fuzzy-GA decision support system for enhancing postponement strategies in supply chain management

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5361 LNAI, Issue , 2008, Pages 141-150

  Tang, Cassandra X H ^a   Lau, Henry C W ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Hybrid optimisation algorithms; Supply chain management

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; EVOLUTIONARY ALGORITHMS; FUZZY SETS; GENETIC ALGORITHMS; INFORMATION THEORY; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING ALGORITHMS; LOGISTICS; MANAGEMENT INFORMATION SYSTEMS; MEMBERSHIP FUNCTIONS; POPULATION STATISTICS; SUPPLY CHAINS;

DECISION SUPPORTS; DECISION VARIABLES; FUZZY SET; HISTORICAL DATUMS; HYBRID OPTIMISATION ALGORITHMS; INITIAL POPULATIONS; KNOWLEDGE-BASED; PERFORMANCE MEASURES; PERFORMANCE METRICS; POSTPONEMENT STRATEGIES; TWO STAGES;

SUPPLY CHAIN MANAGEMENT;

EID: 58349102578     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89694-4_15     Document Type: Conference Paper

References (28)

1. Ballou, R.H.: Business Logistics Management: Planning, Organising, and Controlling the Supply Chain, 4th edn. Prentice-Hall International, Englewood Cliffs (1999)
2. Lee, H.L.: Design for Supply Chain Management: Concepts and Examples. In: Elwood, S., Buffa, R.K. (eds.) Perspectives in Operations Management: Essays in Honor of Elwood, ch. 3, pp. 45-66. Kluwer Academic Publishers, Boston (1993)
3. Whang, S., Lee, H.L.: Value of Postponement. In: Product Variety Management Research Advances, ch. 4, pp. 65-84. Kluwer Academic Publishers, Boston (1999)
4. Bitran, G.R., Haas, E.A., Matsuo, H.: Production Planning of Style Goods with High Setup Costs and Forecast Revisions. Operations Research 34(2), 226-236 (1986)
5. Fisher, M., Raman, A.: Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales. Operations Research 44(1), 87-99 (1996)
6. Alderson, W.: Marketing Efficiency and the Principle of Postponement, Cost and Profit Outlook (3) (1950)
7. Bowersox, D.J., Closs, D.J.: Logistical Management: the Integrated Supply Chain Process. Macmillan, New York (1996)
8. Lee, H.L., Tang, CS.: Modeling The Costs And Benefits of Delay Product Differentiation. Management Science 43(1), 40-54 (1997)
9. Harvard Business School, Benetton (A) and (B), Harvard Teaching Case 9-685-014, Cambridge, MA (1986)
10. Iacocca Institute, 21st Century Manufacturing Enterprise Strategies, Lehigh University, Bethlehem, PA (1991)
11. Van Hoek, R.I.: The discovery of postponement: a literature review and directions for research. Journal of Operations Management 19(2), 161-184 (2000)
12. Christopher, M.: The agile supply chain: competing in volatile markets. Industrial Marketing Management 29(1), 37-44 (2000)
13. Lee, H.L., Whang, S.: Winning the last mile of e-commerce. MIT Sloan Management Review 42(4), 54-62 (2001)
14. Yang, B., Burns, N.D., Backhouse, C.J.: Implications of postponement for the supply chain. International Journal of Production Research 41(9), 2075-2090 (2003)
15. Agrawal, M.K., Pak, M.H.: Getting smart about supply chain management. The McKinsey Quarterly 2, 22-25 (2001)
16. Bowersox, DJ., Closs, DJ.: Logistical Management: the Integrated Supply Chain Process. Macmillan, New York (1996)
17. Holland, J.H.: Adaptation in Natural and Artificial Systems. MIT Press, Cambridge (1992)
18. Gen, M., Cheng, R.: Genetic algorithms and engineering optimization. Wiley, New York (2000)
19. Al-Kuzee, J., Matsuura, T., Goodyear, A., Nolle, L., Hopgood, A.A., Picton, P.D., Braithwaite, N.S J.: Optimization of plasma etch processes using evolutionary search methods with in situ diagnostics. Plasma Sources Science Technology 13(4), 612-622 (2004)
20. Santos, C.A., Spim, J.A., Ierardi, M.C.F., Garcia, A.: The use of artificial intelligence technique for the optimisation of process parameters used in the continuous casting of steel. Applied Mathematical Modelling 26(11), 1077-1092 (2002)
21. Li, T.S., Su, C.T., Chiang, T.L.: Applying robust multi-response quality engineering for parameter selection using a novel neural-genetic algorithm. Computers in Industry 50(1), 113-122 (2003)
22. Milfelner, M., Kopac, J., Cus, F., Zuperl, U.: Genetic equation for the cutting force in ball-end milling. Journal of Materials Processing Technology 164-165, 1554-1560 (2005)
23. Leung, R.W.K., Lau, H.C.W., Kwong, C.K.: An expert system to support the optimization of ion plating process: an OLAP-based fuzzy-cum-GA approach. Expert Systems with Applications 25(3), 313-330 (2003)
24. Leung, B.P.K., Spiring, F.A.: The inverted beta loss function: properties and applications. HE Transactions 34(12), 1101-1109 (2002)
25. Taguchi, G.: Introduction to Quality engineering: Designing Quality into Products and processes. Kraus, White Plains, NY (1986)
26. Fatikow, S., Rembold, U.: Microsystem Technology and Microrobotics. Springer, Heidelberg (1997)
27. van Hoek, R.I.: The rediscovery of postponement a literature review and directions for research. Journal of Operations Management 19(2), 161-184 (2001)
28. Yang, B., Burns, N.D., Backhouse, C.J.: The application of postponement in industry. IEEE Transactions on Engineering Management 52(2), 238-248 (2001)