A genetic algorithm-based model for solving multi-period supplier selection problem with assembly sequence

References

• Benton , WC and Park , S . 1996 . A classification of literature on determining the lot size under quantity discounts . European Journal of Operational Research , 92 : 219 – 238 .
   Web of Science ®Google Scholar
• Berling , P . 2008 . Real options valuation principle in the multi-period base-stock problem . Omega , 36 ( 6 ) : 1086 – 1095 .
   Web of Science ®Google Scholar
• Bonneville , F , Perrard , C and Henrioud , JM . 10–13 October 1995 . “ A genetic algorithm to generate and evaluate assembly plans. ” . In Proceedings of the INRA/IEEE symposium on emerging technology and factory automation , 10–13 October , 231 – 239 . Paris, , France : IEEE Press . 1995
   Google Scholar
• Cai , N , Wang , L and Feng , HY . 2009 . GA-based adaptive setup planning toward process planning and scheduling integration . International Journal of Production Research , 47 ( 10 ) : 2745 – 2766 .
   Web of Science ®Google Scholar
• Chakraborti , N . 2006 . The Williams and Otto Chemical Plant re-evaluated using a Pareto-optimal formulation aided by genetic algorithms . Applied Soft Computing , 6 ( 2 ) : 189 – 197 .
   Web of Science ®Google Scholar
• Che , ZH . 2008 . Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives . International Journal of Production Research , DOI: 10.1080/00207540802702080
   Google Scholar
• Che , ZH and Wang , HS . 2008 . Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products . Computers & Industrial Engineering , 55 ( 1 ) : 110 – 133 .
   Web of Science ®Google Scholar
• Chen , RS , Lu , KY and Tai , PH . 2004 . Optimising assembly planning through a three-stage integrated approach . International Journal of Production Economics , 88 : 234 – 256 .
   Google Scholar
• Cornillier , F . 2008 . A heuristic for the multi-period petrol station replenishment problem . European Journal of Operational Research , 191 ( 2 ) : 295 – 305 .
   Web of Science ®Google Scholar
• De Fazio , TL and Whitney , DE . 1987 . Simplified generation of all mechanical assembly sequence . IEEE Journal of Robotics and Automations , 3 ( 6 ) : 640 – 658 .
   Google Scholar
• Dickson , GW . 1966 . An analysis of supplier selection system and decision . Journal of Purchasing , 2 ( 1 ) : 5 – 17 .
   Google Scholar
• Fan , J , Ye , Y and Cai , JM . 2004 . Multi-level intelligent assembly sequence planning algorithm supporting virtual assembly . IEEE international conference on systems, man and cybernetics , 4 : 3494 – 3499 .
   Google Scholar
• Fei , Y , Li , NN and Han , ZG . 2006 . Multi-objective optimisation method and its application based on Pareto sets . Hoisting and Conveying Machinery , 9 : 13 – 15 .
   Google Scholar
• Fujimoto , H and Sebaaly , MF . 2000 . A new sequence evolution approach to assembly planning . Journal of Manufacturing Science and Engineering , 122 : 198 – 205 .
   Web of Science ®Google Scholar
• Gen , M and Cheng , R . 1997 . Genetic algorithms and engineering design , New York : John Wiley & Sons, Inc .
   Google Scholar
• Hosung , C , Rogers , RL and Hao , L . 2005 . Design of electrically small wire antennas using a Pareto genetic algorithm . IEEE Transactions on Antennas and Propagation , 53 ( 3 ) : 1038 – 1046 .
   Google Scholar
• Li , J and Liu , L . 2006 . Supply chain coordination with quantity discount policy . International Journal of Production Economics , 101 ( 1 ) : 89 – 98 .
   Web of Science ®Google Scholar
• Liaoa , Z and Rittscherb , J . 2006 . A multi-objective supplier selection model under stochastic demand conditions . International Journal of Production Economics , 105 : 150 – 159 .
   Web of Science ®Google Scholar
• Pareto , V . 1896 . Cours d’economic politique , Lausanne : F. Rouge . 1 & 2
   Google Scholar
• Poulos , PN . 2001 . A Pareto-optimal genetic algorithm for warehouse multi-objective optimisation . Engineering Applications of Artificial Intelligence , 14 ( 6 ) : 737 – 749 .
   Google Scholar
• Sha , DY and Che , ZH . 2005 . Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system . International Journal of Advanced Manufacturing Technology , 25 ( 7–8 ) : 739 – 802 .
   Google Scholar
• Sha , DY and Che , ZH . 2006 . Supply chain network design: partner selection and production/distribution planning using a systematic model . Journal of the Operational Research Society , 57 ( 1 ) : 52 – 62 .
   Web of Science ®Google Scholar
• Sha , DY . 2006 . A dispatching rule for photolithography scheduling with an on–line rework strategy . Computers & Industrial Engineering , 50 ( 3 ) : 223 – 247 .
   Google Scholar
• Sirias , D and Mehra , S . 2005 . Quantity discount versus lead time-dependent discount in an inter-organisational supply chain . International Journal of Production Research , 43 ( 16 ) : 3481 – 3496 .
   Web of Science ®Google Scholar
• Smith , GC and Smith , SF . 2002 . An enhanced genetic algorithm for automated assembly planning . Robotics and Computer Integrated Management , 18 : 355 – 364 .
   Web of Science ®Google Scholar
• Tseng , HE and Li , RK . 1999 . A novel means of generating assembly sequences using the connector concept . Journal of Intelligent Manufacturing , 10 : 423 – 435 .
   Web of Science ®Google Scholar
• Tseng , HE , Li , JD and Chang , YH . 2004 . Connector-based approach to assembly planning using a genetic algorithm . International Journal of Production Research , 42 ( 11 ) : 2243 – 2261 .
   Web of Science ®Google Scholar
• Tseng , HE . 2006 . Guided genetic algorithms for solving the larger constraint assembly problem . International Journal of Production Research , 44 ( 3 ) : 601 – 625 .
   Web of Science ®Google Scholar
• Tseng , HE , Wang , WP and Shih , HY . 2007 . Using mimetic algorithms with guided local search to solve assembly sequence planning . Expert Systems with Applications , 33 ( 2 ) : 451 – 467 .
   Web of Science ®Google Scholar
• Udeshi , T and Tsui , K . Assembly sequence planning for automated micro assembly . Proceedings of the 6th IEEE international symposium on assembly and task planning: From nano to macro assembly and manufacturing . 2005 , Montreal. 19–21 July . pp. 98 – 105 . Canada : IEEE Press .
   Google Scholar
• Ustun , O and Demırtas , EA . 2008 . An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection . Omega , 36 ( 4 ) : 509 – 521 .
   Web of Science ®Google Scholar
• Wadhwa , V and Ravindran , AR . 2007 . Vendor selection in outsourcing . Computers and Operations Research , 34 ( 12 ) : 3725 – 3737 .
   Web of Science ®Google Scholar
• Wang , HS and Che , ZH . 2007 . An integrated model for supplier selection decisions in configuration changes . Expert Systems with Applications , 32 : 1132 – 1140 .
   Web of Science ®Google Scholar
• Wang , HS and Che , ZH . 2008 . A multi-phase model for product part change problems . International Journal of Production Research , 46 ( 10 ) : 2797 – 2825 .
   Web of Science ®Google Scholar
• Weber , CA , Current , JR and Benton , WC . 1991 . Vendor selection criteria and methods . European Journal of Operational Research , 50 : 2 – 18 .
   Web of Science ®Google Scholar
• Wong , TN . 2006 . Integrated processing planning and scheduling/rescheduling–an agent-based approach . International Journal of Production Research , 44 : 3627 – 3655 .
   Web of Science ®Google Scholar
• Wu , QH and Cao , YJ . 1997 . Stochastic optimisation of control parameters in genetic algorithms . IEEE International Conference on Evolutionary Computation , 13 ( 16 ) : 77 – 80 .
   Google Scholar
• Yin , ZP . 2003 . A connector-based hierarchical approach to assembly sequence planning for mechanical assemblies . Computer-Aided Design , 35 : 37 – 56 .
   Web of Science ®Google Scholar
• Zhou , SQ and Xiang , JW . 2006 . Multi-objective collaborative optimisation based on BP neural network and Pareto genetic algorithm . Machine Design and Research , 22 ( 5 ) : 10 – 13 .
   Google Scholar
• Zhu , XJ . 2000 . Multi-objective optimisation design with mixed-discrete variables in mechanical engineering via Pareto genetic algorithm . Journal of Shanghai Jiaotong University , 34 ( 3 ) : 411 – 414 .
   Google Scholar
• Zitzler , E . 1999 . Evolutionary algorithms for multi-objective optimisation: methods and applications. , Switzerland : Swiss Federal Institute of Technology .
   Google Scholar