Fatigue accumulation in the assignment of manual material handling activities to operators

Abstract In an industrial context it is not easy to evaluate how to assign activities to operators for reaching the improvement of the performance of the system, since the influence of the activities on the operators is strictly linked to their personal characteristics. Moreover, during the performance of the activity, the operators experience physical fatigue which can accumulate during time if they cannot recover properly. For manual material handling activities, the whole body is involved; subsequently, the physical fatigue can be measured through the energy expenditure rate. In relation to this, the aim of this paper is to improve the scheduling of manual material handling activities of the operators by knowing the energy expenditure rate and the duration of the activity and by knowing how the specific operator accumulates fatigue and recovers. The analysis carried on permits to consider more the influence of human factors in the scheduling of operators’ activities during the working day.

[1]  Wei Zhang,et al.  A new simple local muscle recovery model and its theoretical and experimental validation , 2015, International journal of occupational safety and ergonomics : JOSE.

[2]  A D Price,et al.  Calculating relaxation allowances for construction operatives - part 1: metabolic cost. , 1990, Applied ergonomics.

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

[4]  Daniel Imbeau,et al.  Comparison of rest allowance models for static muscular work , 2009 .

[5]  Ehsan Rashedi,et al.  Quantifying the history dependency of muscle recovery from a fatiguing intermittent task. , 2017, Journal of biomechanics.

[6]  Yannick Frein,et al.  Minimising work overload in mixed-model assembly lines with different types of operators: a case study from the truck industry , 2017 .

[7]  Henri Pierreval,et al.  A simulation-optimization based heuristic for the online assignment of multi-skilled workers subjected to fatigue in manufacturing systems , 2017, Comput. Ind. Eng..

[8]  A. Prentice,et al.  Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry. , 1988, The American journal of clinical nutrition.

[9]  Stephan Konz,et al.  Work/rest: Part II The scientific basis (knowledge base) for the guide 1 The recommendations provi , 1998 .

[10]  Xiaochun Jiang,et al.  Taxonomy for integrating scheduling theory and human factors: Review and research opportunities , 2009 .

[11]  Mohammed Othman,et al.  Workforce scheduling: A new model incorporating human factors , 2012 .

[12]  Valerie J. Gawron,et al.  An overview of fatigue. , 2001 .

[13]  Kai Way Li,et al.  Muscular fatigue and maximum endurance time assessment for male and female industrial workers , 2014 .

[14]  W. Patrick Neumann,et al.  Integrating human factors into discrete event simulation: a proactive approach to simultaneously design for system performance and employees’ well being , 2016 .

[15]  Michael W Sonne,et al.  Fatigue accumulation and twitch potentiation during complex MVC-relative profiles. , 2015, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[16]  Mohamad Y. Jaber,et al.  Incorporating human fatigue and recovery into the learning–forgetting process , 2013 .

[17]  Stephan Konz.  Work/rest: Part I Guidelines for the practitioner 1 The recommendations provided in this guide are , 1998 .

[18]  Mohamad Y. Jaber,et al.  Modelling worker fatigue and recovery in dual-resource constrained systems , 2010, Comput. Ind. Eng..

[19]  Maida Napolitano,et al.  2012 warehouse/DC operations survey : mixed signals , 2012 .

[20]  Alessandro Persona,et al.  Ergo-lot-sizing: An approach to integrate ergonomic and economic objectives in manual materials handling , 2017 .

[21]  G. David.  Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. , 2005, Occupational medicine.

[22]  P. Deurenberg,et al.  A critical evaluation of heart rate monitoring to assess energy expenditure in individuals. , 1993, The American journal of clinical nutrition.

[23]  Myung Hwan Yun,et al.  Development of a job rotation scheduling algorithm for minimizing accumulated work load per body parts. , 2015, Work.

[24]  Christoph H. Glock,et al.  Incorporating human factors in order picking planning models: framework and research opportunities , 2015 .

[25]  Tim Bosch,et al.  Discrete event simulation as an ergonomic tool to predict workload exposures during systems design , 2014 .