Impacts of common components on production system in an uncertain environment

Scientific Research and Essays

Volumn 4, Issue 12, 2009, Pages 1505-1517

  Wazed, M A ^a   Ahmed, Shamsuddin ^a   Yusoff, Nukman ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Commonality; Uncertainty; WITNESS

Indexed keywords

EID: 72849117850     PISSN: None     EISSN: 19922248     Source Type: Journal    
DOI: None     Document Type: Article

References (91)

1. Agatz NAH, Fleischmann M, Van Nunen JAEE (2008). E-fulfillment and multi-channel distribution -A review. Eur. J. Oper. Res. 187 (2): 339-356.
2. Ahmed S, King A, Parija G (2003). A Multi-Stage Stochastic Integer Programming Approach for Capacity Expansion under Uncertainty. J. Global Optim. 26: 3-24.
3. Anosike AI, Zhang DZ (2007). An agent based approach for integrating manufacturing operations. Int. J. Prod. Econ. doi:10.1016/j.ijpe.2006.10.013.
4. Anosike AI, Zhang DZ (2009). An agent-based approach for integrating manufacturing operations. Int. J. Prod. Econ. 121 (2): 333-352.
5. Arruda EF, Do Val JBR (2008). Stability and optimality of a multi-product production and storage system under demand uncertainty. Eur. J. Oper. Res. 188 (2); 406-427.
6. Balakrishnan A, Brown S (1996). Process planning for aluminum tubes: An engineering operations perspective. Operations Res. 44 (1): 7-20.
7. Balakrishnan J, Cheng CH (2007). Multi-period planning and uncertainty issues in cellular manufacturing: A review and future directions. Eur. J. Oper. Res. 177 (1): 281-309.
8. Ben-Daya M, Noman SM (2008). Integrated inventory and inspection policies for stochastic demand. Eur. J. Oper. Res. 185 (1): 159-169.
9. Ben-Daya M, Raouf A (1994). Inventory models involving lead time as a decision variable. J. Oper. Res. Soc. 45 (5): 579-582.
10. Benton WC, Krajewski LJ (1990). Vendor performance and alternative manufacturing environments. Decision Sci. 21 (2): 403-415.
11. Billington PJ, Mcclain JO, Thomas LJ (1983). Mathematical programming approaches to capacity-constrained MRP systems: Review formulation and problem reduction. Manage Sci. 29 (10): 1126-1141.
12. Blackburn JD (1985). 'Time-based competitiveness', in Moody, P. (Ed.), Strategic Manufacturing: Dynamic New Directions for the 1990s, Dow Jones-Irwin, Homewood, IL.
13. Bourland KE, Yano CA (1994). The strategic use of capacity slack in the economic lot scheduling problem with random demand. Manage. Sci. 40 (12): 1690-1704.
14. Brennan L, Gupta SM (1993). A structured analysis of material requirements planning systems under combined demand and supply uncertainty. Int. J. Prod. Res. 31 (7): 1689-1707.
15. Dalal AJ, Alghalith M (2009) Production decisions under joint price and production uncertainty. Eur. J. Oper. Res. 197 (1): 84-92.
16. Dolgui A, Ould-Louly MA (2002). A model for supply planning under lead time uncertainty. Int. J. Prod. Econ. 78: 145-152.
17. Du X, Chen W (2000). Methodology for managing the effect of uncertainty in simulation based design. AIAA J. 38 (8): 1471-1478.
18. Enns ST (2001). MRP performance effects due to lot size and planned lead-time settings. Int. J. Prod. Res. 39 (3): 461-480.
19. Escudero LF, Kamesam PV (1993). MRP modelling via scenarios. In: Ciriani TA, Leachman RC (Eds.) Optimization in Industry. John Wiley and Sons.
20. Farrell RS, Simpson TW (2003). Product platform design to improve commonality in custom products. J. Intell. Manuf. 14 (6): 541-556.
21. Germani M, Mandorli F (2004). Self-configuring components approach to product variant development. Artificial Intelligence for Engineering Design, Anal. Manuf. 18: 41-54.
22. Grabot B, Geneste L, Reynoso-Castillo G, Verot S (2005). Integration of uncertain and imprecise orders in the MRP method. J. Intell. Manuf. 16: 215-234.
23. Grubbstrom RW (1999). A net present value to approach to safety stocks in a multi-level MRP system. Int. J. Prod. Econ. 59 (1-3): 361-375.
24. Güllü R, Önol E, Erkip N (1999). Analysis of an inventory system under supply uncertainty. Int. J. Prod. Econ. 59 (1-3), 377-385.
25. Guide VDR, Srivastava R (2000). A review of techniques for buffering against uncertainty with MRP systems. Prod. Plan. Control, 11 (3): 223-233.
26. Hariga M, Ben-Daya M (1999). Some stochastic inventory models with deterministic variable lead time. Eur. J. Oper. Res. 113, 42-51.
27. Heese HS, Swaminathan JM (2006). Product line design with component commonality and cost-reduction effort. Manuf. Serv. Oper. Manage. 8 (2): 206-219.
28. Hillier MS (2002). The costs and benefits of commonality in assemble-to-order systems with a (Q, r)-policy for component replenishment. Eur. J. Oper. Res. 141 (3), 570-586.
29. Ho CJ, Carter PL (1996). An investigation of alternative dampening procedures to cope with MRP system nervousness. Int. J. Prod. Res. 34 (1), 137-156.
30. Ho CJ, Law WK, Rampal R (1995). Uncertainty dampening methods for reducing MRP system nervousness. Int. J. Prod. Res. 33 (2): 483-496.
31. Hong JD, Hayya JC (1995). Joint investment in quality improvement and setup reduction. Comput. Oper. Res. 22: 567-574.
32. Hsu H, Wang W (2001). Possibilistic programming in production planning of assemble-to-order environments. Fuzzy Sets and Syst. 119 (1): 59-70.
33. Huang PY, Clayton ER, Moore LJ (1982). Analysis of material and capacity requirements with Q-GERT. Int. J. Prod. Res. 20 (6): 701-713.
34. Huang PY, Rees LP, Taylor BW (1985). Integrating the MRP-based control level and the multistage shop level of a manufacturing system via network simulation. Int. J. Prod. Res. 23 (6): 1217-1231.
35. Hwang H, Kim DB, Kim YD (1993). Multiproduct economic lot size models with investments costs for setup reduction and quality improvement. Int. J. Prod. Res. 31: 691-703.
36. Jans R, Degraeve Z, Schepens L (2008). Analysis of an industrial component commonality problem. Eur. J. Oper. Res. 186 (2): 801-811.
37. Jiao J, Tseng MM (2000). Understanding Product Family for Mass Customization by Developing Commonality Indices. J. Eng. Design, 11 (3): 225-243.
38. Jiao RJ, Tseng MM (1999). A methodology of developing product family architecture for mass customization. J. Intel. Manuf. 10: 3-20.
39. Jiao RJ, Tseng MM, Ma S, Zhou Y (2000). Generic bill-of-material-and-operations for high-variety production management. Concurrent Engineering: Res. Appl. 8 (4): 297-321.
40. John JK, Sridharan V (1998). The Value of Using Scheduling Information in Planning Material Requirements*. Decision Sci. 29 (2): 479-496.
41. Kamrani AK, Salhieh SEM (2002). Product design for modularity, Published by Springer.
42. Keller G, Noori H (1988). Impact of investing in quality improvement on the lot size model. OMEGA Int. J. Manage. Sci. 15: 595-601.
43. Kim HJ, Hosni YA (1998). Manufacturing lot-sizing under MRP II environment: An improved analytical model & a heuristic procedure. Comput. Ind. Eng. 35 (3-4): 423-426.
44. Kim J, Gershwin SB (2005). Integrated quality and quantity modeling of a production line. OR Spectrum, 27 (2-3): 287-314.
45. Kira D, Kusy M, Rakita I (1997). A stochastic linear programming approach to hierarchical production planning. J. Oper. Res. Soc. 48: 207-211.
46. Koh SCL, Gunasekaran A (2006). A knowledge management approach for managing uncertainty in manufacturing. Ind. Manage. Data Syst. 106 (4): 439-459.
47. Koh SCL, Saad SM (2003). MRP-controlled manufacturing environment disturbed by uncertainty. Robotics and Computer-Integrated Manufacturing 19 (1-2): 157-171.
48. Koh SCL, Saad SM, Jones MH (2002). Uncertainty under MRP-planned manufacture: Review and categorisation. Int. J. Prod. Res. 40 (10): 2399-2421.
49. Lan CH, Lan TS (2005). A combinatorial manufacturing resource planning model for long-term CNC machining industry. Int. J. Adv. Manuf. Technol. 26: 1157-1162.
50. Law AM, Mccomas MG (1997). Simulation of Manufacturing Systems. In: Andradóttir S, Healy KJ, Withers DH, Nelson BL (Eds.) Winter Simulation Conference. Renaissance Waverly Hotel, Atlanta, GA.
51. Leung SCH, Tsang SOS, Ng WL, Wu Y (2007). A robust optimization model for multi-site production planning problem in an uncertain environment. Eur. J. Oper. Res. 181: 224-238.
52. Liao CJ, Shyu CH (1991). An analytical determination of lead time with normal demand. Int. J. Oper. Prod. Manage. 11: 72-78.
53. Lin Y, Ma S, Liu L (2006). A multi-period inventory model of component commonality with lead time. IEEE International Conference on Service Operations and Informatics (SOLI). IEEE.
54. Ma SH, Wang W, Liu LM (2002). Commonality and postponement in multistage assembly systems. Eur. J. Oper. Res. 142 (3): 523-538.
55. Matsuura H, Tsubone H, Kataoka K (1995). Comparison between simple infinite loading and loading considering a workload status under uncertainty in job operation times. Int. J. Prod. Econ. 40 (1): 45-55.
56. Mayer M, Nusswald M (2001). Improving manufacturing costs and lead times with quality-oriented operating curves. J. Mater. Process Technol. 119 (1-3): 83-89.
57. Miller WA, Leung LC, Azhar TM, Sargent S (1997). Fuzzy production planning model for fresh tomato packing. Int. J. Prod. Econ. 53 (3-4): 227-238.
58. Minifie JR, Davis RA (1990). Interaction effects on MRP nervousness. Int. J. Prod. Res. 28 (1): 173-183.
59. Mirchandani P, Mishra AK (2002). Component commonality: models with product-specific service constraints. Prod. Oper. Manage, 11 (2): 199-215.
60. Mohebbi E, Choobineh F (2005). The impact of component commonality in an assemble-to-order environment under supply and demand uncertainty. Omega, Int. J. Manage. Sci. 33: 472-482.
61. Moon I, Choi S (1998). A note on lead time and distributional assumptions in continuous review inventory models. Comp. Oper. Res. 25: 1007-1012.
62. Mukhopadhyay SK, Ma H (2009). Joint procurement and production decisions in remanufacturing under quality and demand uncertainty. Int. J. Prod. Econ. 120 (1): 5-17.
63. Mula J, Poler R, Garcia JP (2006). MRP with flexible constraints: A fuzzy mathematical programming approach. Fuzzy Sets Syst. 157: 74-97.
64. Mula J, Poler R, Garcia-Sabater JP (2007). Material Requirement Planning with fuzzy constraints and fuzzy coefficients. Fuzzy Sets Syst. 158: 783-793.
65. Nonas SL (2007). Finding and identifying optimal inventory levels for systems with common components. Eur. J. Oper. Res. doi:10.1016/j.ejor.2007.08.045.
66. Ould-Louly MA, Dolgui A (2004). The MPS parameterization under lead time uncertainty. Int. J. Prod. Econ. 90: 369-376.
67. Ouyang L.-Y, Wu K-S, Ho C-H (2007). An integrated vendor-buyer inventory model with quality improvement and lead time reduction. Int. J. Prod. Econ. 108 (1-2): 349-358.
68. Ouyang LY, Chang HC (2000). Impact of investing in quality improvement on (Q,r, L) model involving the imperfect production process. Prod. Plan. Control, 11 (6): 598-607.
69. Ouyang LY, Chen CK, Chang HC (2002). Quality improvement, setup cost and lead-time reductions in lot size reorder point models with an imperfect production process. Comput. Oper. Res. 29: 1701-1717.
70. Ouyang LY, Yeh NC, Wu KS (1996). Mixture inventory model with backorders and lost sales for variable lead time. J. Oper. Res. Soc. 47: 829-832.
71. Porteus EL (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Oper. Res. 34 (1): 137-144.
72. Qin H, Zhong Y, Xiao R, Zhang W (2005). Product platform commonization: Platform construction and platform elements capture. Int. J. Adv. Manuf. Technol. 25: 1071-1077.
73. Reynoso G, Grabot B, Geneste L, Ve ́ Rot S (2002). Integration of uncertain and imprecise orders in MRPII. Ninth International Multi-Conference on Advanced Computer Systems, Conference on Production System Design, Supply Chain Management & Logistics. Miedzyzdroje, Pologne.
74. Rosenblatt MJ, Lee HL (1986). Economic production cycles with imperfect production processes. IIE Transactions, 18, 48-55.
75. Sanmartí E, Espuña A, Puigjaner L (1995). Effects of equipment failure uncertainty in batch production scheduling. Computers & Chemical Engineering, 19 (Supplement 1): 565-570.
76. Schmenner RW (1991). Speed and productivity. In: Blackburn JD (Ed.) Time-Based Competition: The Next Battleground in American Manufacturing. Richard D. Irwin, Homewood, IL.
77. Schonberger RJ (1986). World Class Manufacturing, New York, USA, The Free Press.
78. Shabbir A, Alan JK, Gyana P (2003). A Multi-Stage Stochastic Integer Programming Approach for Capacity Expansion under Uncertainty. J. Global Optim. 26 (1): 3-24.
79. Sommer G (1981). Applied Systems and Cybernetics. Fuzzy inventory scheduling. Lasker, G.E ed. New York., Academic Press.
80. Stalk GJ (1988). Time -the next source of competitive advantage, Harvard Business Review (July-August).
81. Tang O, Grubbström RW (2002). Planning and replanning the master production schedule under demand uncertainty. Int. J. Prod. Econ. 78 (3): 323-334.
82. Tito HDM, Alexander S, Mark LS (1999). Finding Optimal Material Release Times Using Simulation-Based Optimization. Manage. Sci. 45 (1): 86-102.
83. Tripathy PK, Wee WM, Majhi PR (2003). An EOQ model with process reliability considerations. J. Oper. Res. Soc. 54: 549-554.
84. Ulrich KT, Eppinger SD (2000). Product Design and Development, Boston, USA, McGraw-Hill.
85. Vargas GA, Metters R (1996). Adapting lot-sizing techniques to stochastic demand through production scheduling policy. IIE Trans. 28 (2): 141-148.
86. Wacker JG (1987). The complementary nature of manufacturing goals by their relationship to throughput time: a theory of internal variability of production systems. J. Oper. Manage. 7 (2): 91-106.
87. st AUN/SEED-Net Regional Conference in Manufacturing Engineering (AUN/SEED-Net-RC ManuE 2008). Manila, Philippines.
88. Wazed MA, Shamsuddin A, Nukman Y (2009). Uncertainty Factors in Real Manufacturing Environment. Aust. J. Basic Appl. Sci. Res. 3 (2): 342-351.
89. Xu HM, Li DB (2008). A meta-modeling paradigm of the manufacturing resources using mathematical logic for process planning. Int. J. Adv. Manuf. Technol. 36: 1022-1031.
90. Zhang AX (1997). Demand fulfillment rates in an assemble-to-order system with multiple products and dependent demand. Prod. Oper. Manage. 6 (3): 309-324.
91. Zhou L, Grubbstrom RW (2004). Analysis of the effect of commonality in multi-level inventory systems applying MRP theory. Int. J. Prod. Econ. 90 (2): 251-263.