Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328105093> ?p ?o ?g. }
- W4328105093 endingPage "109169" @default.
- W4328105093 startingPage "109169" @default.
- W4328105093 abstract "To meet the everchanging production demand and close to the actual scheduling environment, a multi-objective job-shop scheduling problem (MOJSP) with multiple resource constraints is investigated. Specifically, an integrated mathematical model is constructed based on a job-shop scheduling problem (JSP) considering machine layout rearrangement, transporter allocation with capacity limitation, and worker assignment with skill variance to simultaneously minimize the exit time, labor cost, worker workload difference, and transportation time. To tackle the concerned problem, an improved non-dominated sorting genetic algorithm with a hybrid local search (INSGA-HLS) is designed. In the numerical simulation, a test dataset is first constructed according to the literature. Second, an orthogonal experiment is utilized to find the best combination of key parameters for INSGA-HLS. Third, the exploitation competence of the proposed hybrid local search (HLS) is verified. Then, the superiority of the designed INSGA-HLS algorithm is demonstrated by comparing it with the other intelligent algorithms. Thereafter, the influence of three considered factors on the integrated scheduling problem is illustrated: (1) flexible machine layout rearrangement may reduce the handling time, and improve production efficiency to some extent; (2) transporter capacity limitation can prolong the transport time, which extends the exit time; and (3) worker assignment with skill variance can not only improve productivity and reduce the labor cost, but also narrow the workload difference to improve employee satisfaction. Finally, an actual production line application further verifies the practicability and benefit of the model, and the managerial significance is analyzed." @default.
- W4328105093 created "2023-03-22" @default.
- W4328105093 creator A5021387620 @default.
- W4328105093 creator A5035321872 @default.
- W4328105093 creator A5049857758 @default.
- W4328105093 creator A5068146621 @default.
- W4328105093 creator A5072484101 @default.
- W4328105093 creator A5078175622 @default.
- W4328105093 date "2023-05-01" @default.
- W4328105093 modified "2023-10-16" @default.
- W4328105093 title "Integrating machine layout, transporter allocation and worker assignment into job-shop scheduling solved by an improved non-dominated sorting genetic algorithm" @default.
- W4328105093 cites W1188900263 @default.
- W4328105093 cites W1245336959 @default.
- W4328105093 cites W1571017796 @default.
- W4328105093 cites W1746569071 @default.
- W4328105093 cites W1963644769 @default.
- W4328105093 cites W1966332783 @default.
- W4328105093 cites W1981064269 @default.
- W4328105093 cites W2004076638 @default.
- W4328105093 cites W2006751452 @default.
- W4328105093 cites W2006785664 @default.
- W4328105093 cites W2008326610 @default.
- W4328105093 cites W2010334716 @default.
- W4328105093 cites W2018545447 @default.
- W4328105093 cites W2020328062 @default.
- W4328105093 cites W2022485595 @default.
- W4328105093 cites W2024060531 @default.
- W4328105093 cites W2027739075 @default.
- W4328105093 cites W2029150624 @default.
- W4328105093 cites W2037899945 @default.
- W4328105093 cites W2057285547 @default.
- W4328105093 cites W2058781899 @default.
- W4328105093 cites W2064563962 @default.
- W4328105093 cites W2064661781 @default.
- W4328105093 cites W2075484865 @default.
- W4328105093 cites W2077231572 @default.
- W4328105093 cites W2081939577 @default.
- W4328105093 cites W2099235707 @default.
- W4328105093 cites W2106334424 @default.
- W4328105093 cites W2116577034 @default.
- W4328105093 cites W2126105956 @default.
- W4328105093 cites W2134152443 @default.
- W4328105093 cites W2143381319 @default.
- W4328105093 cites W2150446509 @default.
- W4328105093 cites W2151954119 @default.
- W4328105093 cites W2168081761 @default.
- W4328105093 cites W2398886949 @default.
- W4328105093 cites W2577184920 @default.
- W4328105093 cites W2624280071 @default.
- W4328105093 cites W2648950690 @default.
- W4328105093 cites W2764251381 @default.
- W4328105093 cites W2765792567 @default.
- W4328105093 cites W2766299898 @default.
- W4328105093 cites W2766611090 @default.
- W4328105093 cites W2775034789 @default.
- W4328105093 cites W2782020371 @default.
- W4328105093 cites W2808011526 @default.
- W4328105093 cites W2885265221 @default.
- W4328105093 cites W2889021325 @default.
- W4328105093 cites W2903811113 @default.
- W4328105093 cites W2908663372 @default.
- W4328105093 cites W2946909858 @default.
- W4328105093 cites W2970875053 @default.
- W4328105093 cites W2972440435 @default.
- W4328105093 cites W2973381151 @default.
- W4328105093 cites W2996039903 @default.
- W4328105093 cites W2996786783 @default.
- W4328105093 cites W3026713809 @default.
- W4328105093 cites W3048943261 @default.
- W4328105093 cites W3119151450 @default.
- W4328105093 cites W3120185273 @default.
- W4328105093 cites W3128992509 @default.
- W4328105093 cites W3156309308 @default.
- W4328105093 cites W3164057756 @default.
- W4328105093 cites W3182705692 @default.
- W4328105093 cites W3191327624 @default.
- W4328105093 cites W3193377851 @default.
- W4328105093 cites W4200346938 @default.
- W4328105093 cites W4252572061 @default.
- W4328105093 doi "https://doi.org/10.1016/j.cie.2023.109169" @default.
- W4328105093 hasPublicationYear "2023" @default.
- W4328105093 type Work @default.
- W4328105093 citedByCount "1" @default.
- W4328105093 countsByYear W43281050932023 @default.
- W4328105093 crossrefType "journal-article" @default.
- W4328105093 hasAuthorship W4328105093A5021387620 @default.
- W4328105093 hasAuthorship W4328105093A5035321872 @default.
- W4328105093 hasAuthorship W4328105093A5049857758 @default.
- W4328105093 hasAuthorship W4328105093A5068146621 @default.
- W4328105093 hasAuthorship W4328105093A5072484101 @default.
- W4328105093 hasAuthorship W4328105093A5078175622 @default.
- W4328105093 hasConcept C111696304 @default.
- W4328105093 hasConcept C111919701 @default.
- W4328105093 hasConcept C11413529 @default.
- W4328105093 hasConcept C119857082 @default.
- W4328105093 hasConcept C126255220 @default.
- W4328105093 hasConcept C127413603 @default.
- W4328105093 hasConcept C158336966 @default.