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10.1016/j.asoc.2020.106953 http://scihub22266oqcxt.onion/10.1016/j.asoc.2020.106953 33519323!7834168!33519323     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Soft+Comput 2021 ; 100 (ä): 106953 Nephropedia Template TP {{tp|p=33519323|t=2021. Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach |pdf=|usr=}}{{33519323}} gab.com Text Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach JO: Appl Soft Comput http://www.kidney.de/pget.php?&tw=1&pmid=33519323 #FOAvip In the aftermath of the COVID-19 pandemic, supply chains experienced an unprecedented challenge to fulfill consumers' demand. As a vital operational component, manual order picking operations are highly prone to infection spread among the workers, and thus, susceptible to interruption. This study revisits the well-known order batching problem by considering a new overlap objective that measures the time pickers work in close vicinity of each other and acts as a proxy of infection spread risk. For this purpose, a multi-objective optimization model and three multi-objective metaheuristics with an effective seeding procedure are proposed and are tested on the data obtained from a major US-based logistics company. Through extensive numerical experiments and comparison with the company's current practices, the results are discussed, and some managerial insights are offered. It is found that the picking capacity can have a determining impact on reducing the risk of infection spread through minimizing the picking overlap. Twit Text FOAVip Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach ????Appl Soft Comput http://www.kidney.de/pget.php?&tw=1&pmid=33519323 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33519323 #FOAvip English Wikipedia <ref>{{Cite pmid|33519323}}</ref> Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach #MMPMID33519323 Ardjmand E; Singh M; Shakeri H; Tavasoli A; Young Ii WA Appl Soft Comput 2021[Mar]; 100 (ä): 106953 PMID33519323show ga In the aftermath of the COVID-19 pandemic, supply chains experienced an unprecedented challenge to fulfill consumers' demand. As a vital operational component, manual order picking operations are highly prone to infection spread among the workers, and thus, susceptible to interruption. This study revisits the well-known order batching problem by considering a new overlap objective that measures the time pickers work in close vicinity of each other and acts as a proxy of infection spread risk. For this purpose, a multi-objective optimization model and three multi-objective metaheuristics with an effective seeding procedure are proposed and are tested on the data obtained from a major US-based logistics company. Through extensive numerical experiments and comparison with the company's current practices, the results are discussed, and some managerial insights are offered. It is found that the picking capacity can have a determining impact on reducing the risk of infection spread through minimizing the picking overlap. äMitigating the risk of infection spread in manual order picking operat(epmc).pdf DeepDyve Pubget Overpricing