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General reallocating literature addressed the reallocating versions with fixed executing time. In this paper, a multi-objective reallocation model is developed with a feasible assumption that the task executing time is controllable. To illustrate this idea, a compressing executing time strategy (CETS) is proposed in CPD process, where the executing time can be controlled with a non-linear compression cost. When design change occurs during the executing, task-resource reallocating is required to absorb the interference effects. Reallocating implies an increase in design cost and system instability; the proposed method CETS can address this issue effectively. CETS considers three objectives: completing time, stability, and change-adaptation cost. An adaptive multi-objective hybrid genetic algorithm and tabu search (AMOGATS) is developed to solve this mathematical method. The computational results of specific simulation examples verify the superiority. It shows that CETS is sensitive to design change, and the proposed algorithm AMOGATS can be effective to achieve the allocating by coordinating the objective consistency.<\/jats:p>","DOI":"10.1515\/jisys-2016-0262","type":"journal-article","created":{"date-parts":[[2017,6,7]],"date-time":"2017-06-07T06:01:25Z","timestamp":1496815285000},"page":"57-76","source":"Crossref","is-referenced-by-count":3,"title":["Task Reallocating for Responding to Design Change in Complex Product Design"],"prefix":"10.1515","volume":"28","author":[{"given":"Meng","family":"Wei","sequence":"first","affiliation":[{"name":"The State Key Laboratory of Mechanical Transmissions, Chongqing University , Chongqing , China"}]},{"given":"Yu","family":"Yang","sequence":"additional","affiliation":[{"name":"Chongqing University \u2013 Industrial Engineering , Chongqing , China"}]},{"given":"Jiafu","family":"Su","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Mechanical Transmissions, Chongqing University , Chongqing , China"},{"name":"The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering , The Pennsylvania State University , 108 Leonhard Bldg , University Park , State College, PA 16802 , USA"}]},{"given":"Qiucheng","family":"Li","sequence":"additional","affiliation":[{"name":"University of Sheffield , Sheffield , South Yorkshire, UK"}]},{"given":"Zhichao","family":"Liang","sequence":"additional","affiliation":[{"name":"Shijiazhuang Tiedao University , Shijiazhuang , Hebei, China"}]}],"member":"374","published-online":{"date-parts":[[2017,6,7]]},"reference":[{"key":"2025120523322958914_j_jisys-2016-0262_ref_001_w2aab3b7b4b1b6b1ab1b6b1Aa","doi-asserted-by":"crossref","unstructured":"I. 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Bellenguez-Morineau and D Prot, A constraint-based approach for the shift design personnel task scheduling problem with equity, Comput. Oper. Res. 40 (2013), 2450\u20132465.10.1016\/j.cor.2013.04.005","DOI":"10.1016\/j.cor.2013.04.005"},{"key":"2025120523322958914_j_jisys-2016-0262_ref_036_w2aab3b7b4b1b6b1ab1b6c36Aa","doi-asserted-by":"crossref","unstructured":"W. D. Li, S. K. Ong and A. Y. C. Nee, Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts, Int. J. Prod. Res. 40 (2002), 1899\u20131922.10.1080\/00207540110119991","DOI":"10.1080\/00207540110119991"},{"key":"2025120523322958914_j_jisys-2016-0262_ref_037_w2aab3b7b4b1b6b1ab1b6c37Aa","doi-asserted-by":"crossref","unstructured":"Y. Li, W. Zhao and X. Shao, A process simulation based method for scheduling product design change propagation, Adv. Eng. 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Syst.17 (2011), 2629\u20132637."},{"key":"2025120523322958914_j_jisys-2016-0262_ref_041_w2aab3b7b4b1b6b1ab1b6c41Aa","doi-asserted-by":"crossref","unstructured":"P. B. Luh, F. Liu and B. Moser, Scheduling of design projects with uncertain number of iterations, Eur. J. Oper. Res. 113 (1999), 575\u2013592.10.1016\/S0377-2217(98)00027-7","DOI":"10.1016\/S0377-2217(98)00027-7"},{"key":"2025120523322958914_j_jisys-2016-0262_ref_042_w2aab3b7b4b1b6b1ab1b6c42Aa","unstructured":"H. Matsushima, M. Takayama, N. Ichikawa and N. Miyazaki, Product design method, product design apparatus, product design system, and product design program: US, US20060052892[P]. 2006."},{"key":"2025120523322958914_j_jisys-2016-0262_ref_043_w2aab3b7b4b1b6b1ab1b6c43Aa","doi-asserted-by":"crossref","unstructured":"S. V. Mehta and R. M. Uzsoy, Predictable scheduling of a job shop subject to breakdowns, IEEE Trans. Robotic. Auto.14 (1998), 365\u2013378.10.1109\/70.678447","DOI":"10.1109\/70.678447"},{"key":"2025120523322958914_j_jisys-2016-0262_ref_044_w2aab3b7b4b1b6b1ab1b6c44Aa","doi-asserted-by":"crossref","unstructured":"B. C. Mohan and R. Baskaran, A survey: ant colony optimization based recent research and implementation on several engineering domain, Expert Syst. Appl.39 (2012), 4618\u20134627.10.1016\/j.eswa.2011.09.076","DOI":"10.1016\/j.eswa.2011.09.076"},{"key":"2025120523322958914_j_jisys-2016-0262_ref_045_w2aab3b7b4b1b6b1ab1b6c45Aa","doi-asserted-by":"crossref","unstructured":"D. Ouelhadj, S. Petrovic, A survey of dynamic scheduling in manufacturing systems, J. Sched.12 (2009), 417\u2013431.10.1007\/s10951-008-0090-8","DOI":"10.1007\/s10951-008-0090-8"},{"key":"2025120523322958914_j_jisys-2016-0262_ref_046_w2aab3b7b4b1b6b1ab1b6c46Aa","doi-asserted-by":"crossref","unstructured":"D. Petrovic and A. 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