A web based tool for dynamic job rotation scheduling using multiple criteria

Abstract This paper presents a method implemented in a web based tool able to generate job rotation schedules for human based assembly systems. Through a user friendly web interface, production engineers can represent an assembly line, the tasks to be performed for each product, and the operator's characteristics. An intelligent search algorithm is used for generating alternative solutions to the scheduling problem. Multiple criteria decision making is used for evaluating the job rotation schedule alternatives, according to criteria deriving from industrial assembly line requirements. The tool is tested on a truck assembly case study and can provide high quality solutions.

[1]  Brahim Rekiek,et al.  State of art of optimization methods for assembly line design , 2002, Annu. Rev. Control..

[2]  Chun-yeung. Choi,et al.  A generic fatigue model for frequently performed, highly repetitive combined material handling , 2006 .

[3]  Adem Göleç,et al.  A fuzzy model for competency-based employee evaluation and selection , 2007, Comput. Ind. Eng..

[4]  George Chryssolouris,et al.  On the resources allocation problem , 1992 .

[5]  George Chryssolouris,et al.  Manufacturing Systems: Theory and Practice , 1992 .

[6]  Sotiris Makris,et al.  Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach , 2010 .

[7]  A. Volgenant,et al.  A note on the assignment problem with seniority and job priority constraints , 2004, Eur. J. Oper. Res..

[8]  John A. Buzacott,et al.  The impact of worker differences on production system output , 2002 .

[9]  Wilhelm Dangelmaier,et al.  Reconfiguration of assembly lines under the influence of high product variety in the automotive industry–a decision support system , 2010 .

[10]  Kin Keung Lai,et al.  A Neural Network Application in Personnel Scheduling , 2004, Ann. Oper. Res..

[11]  Sotiris Makris,et al.  Dynamic job rotation for workload balancing in human based assembly systems , 2010 .

[12]  Nils Boysen,et al.  A classification of assembly line balancing problems , 2007, Eur. J. Oper. Res..

[13]  Benoît Montreuil,et al.  Competency and preference based personnel scheduling in large assembly lines , 2008, Int. J. Comput. Integr. Manuf..

[14]  George L. Vairaktarakis,et al.  Worker Cross-Training in Paced Assembly Lines , 1999, Manuf. Serv. Oper. Manag..

[15]  Fouad Bennis,et al.  A new simple dynamic muscle fatigue model and its validation , 2022, ArXiv.

[16]  Helmut Bley,et al.  Appropriate Human Involvement in Assembly and Disassembly , 2004 .

[17]  Brian J. Carnahan,et al.  Incorporating physical demand criteria into assembly line balancing , 2001 .

[18]  Andreas T. Ernst,et al.  Staff scheduling and rostering: A review of applications, methods and models , 2004, Eur. J. Oper. Res..

[19]  Hoda A. ElMaraghy,et al.  Quality prediction for reconfigurable manufacturing systems via human error modelling , 2008, Int. J. Comput. Integr. Manuf..