Workforce Aging in Production Systems: Modeling and Performance Evaluation

Boenzi, Francesco; Mossa, Giorgio; Mummolo, Giovanni; Romano, V.A.

doi:10.1016/j.proeng.2015.01.473

Cited by 30 publications

(15 citation statements)

References 39 publications

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“…-Assignment constraints (11) each workstation can be operated by only one worker during each time slot. (12) each worker can be assigned only to one workstation during each time slot.…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

“…Boenzi et al presented the OCcupational Repetitive Action (OCRA) score method for the ergonomic risk assessment in case of infrequent job rotations. The model allows to minimize the exposure risk of a single worker, adopting an algorithm for identifying, among all the feasible job rotations, the best solution in presence of a sub-group of operators with different ergonomic requirements [10] and with different skills [11]. A worker assignment job rotation problem with heterogeneous workers and jobs with different workload levels is presented by Moussavi et al, in which both productivity and ergonomic criteria are considered in the problem and a multi-objective mixedinteger mathematical model is proposed to implement an ergonomic job rotation in a production system.…”

Section: Introductionmentioning

confidence: 99%

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Minimizing and Balancing Ergonomic Risk of Workers of an Assembly Line by Job Rotation: a MINLP Model

Digiesi¹,

Facchini²,

Mossa³

et al. 2018

IJIEM

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In today's economic context the workforce is a crucial asset in manufacturing industries. The employee performance and productivity are affected by many factors related on one hand to the line efficiency and, on the other hand, to the well-being of the workers. On the basis of new technologies and driven by Industry 4.0 paradigms, the need of a high production rate cannot neglect the safeguarding of the workers. In case of repetitive manual tasks, workers are exposed to the risk of musculoskeletal disorders (MSDs), that can be reduced by applying ergonomics principles both in design (e.g. workstation design, equipment tools identification, etc.) and in operative phases (e.g. workload balance, tasks assignment, etc.). In the operative phase, job rotation is one of the most widespread methods for alleviating physical fatigue and reducing the stress due to repetitive tasks. However, often, job rotation strategies fail due to the lack of systematic approach or effective management of rotation schedules, being very difficult to identify an effective job rotation schedule allowing maintaining the same productivity rate. The problem is of particular interest under the perspective of the workforce aging, a social European phenomenon which is also affecting production systems performance. Designing and scheduling of human-based assembly systems require a joint evaluation of production system performance and a good balancing of MSDs risk among workers. The authors proposed a model for minimizing the exposure risk of workers involved in repetitive manual tasks, by balancing the human workloads and reducing the ergonomic risk within acceptable limits, for a given production target. Risk and its acceptability are evaluated using the RULA method, according to a mixed integer programming approach. Results shown the effectiveness of the model to identify the optimal job rotation schedules jointly achieving productivity and ergonomic risk goals.

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“…-Assignment constraints (11) each workstation can be operated by only one worker during each time slot. (12) each worker can be assigned only to one workstation during each time slot.…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Minimizing and Balancing Ergonomic Risk of Workers of an Assembly Line by Job Rotation: a MINLP Model

Digiesi¹,

Facchini²,

Mossa³

et al. 2018

IJIEM

View full text Add to dashboard Cite

show abstract

“…Physical ageing contains age-linked weakens in physical, physiological, perceptual, and motor procedures, and deteriorates in aptitudes such as dexterity, strength, and endurance [23]. In job surroundings featured by higher corporeal efforts, maintaining workers healthy and accident-free signifies amplifying not only their capabilities but also lessening the danger of injuries.…”

Section: Aging Workforce Cognitive Learning Ability and Physical Agingmentioning

confidence: 99%

Ergonomic Intrusions for the Ageing Industry and Workforce

Kim¹

2018

J Ergonomics

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“…A certain number of publications is dedicated to the effect of the learning, forgetting and aging of the workforce; see for example Grosse and Glock (in press), Grosse et al (2013), Boenzi et al (2015) and Hewitt et al (2015).…”

Section: Overall Statement Of the Problem And Related Literaturementioning

confidence: 99%

Workforce minimization for a mixed-model assembly line in the automotive industry

Battaïa

Delorme

Dolgui

et al. 2015

International Journal of Production Economics

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International audienceA paced assembly line consisting of several workstations is considered. This line is intended to assemble products of different types. The sequence of products is given. The sequence of technological tasks is common for all types of products. The assignment of tasks to the stations and task sequence on each station are known and cannot be modified, and they do not depend on the product type. Tasks assigned to the same station are performed sequentially. The processing time of a task depends on the number of workers performing this task. Workers are identical and versatile. If a worker is assigned to a task, he/she works on this task from its start till completion. Workers can switch between the stations at the end of each task and the time needed by any worker to move from one station to another one can be neglected. At the line design stage, it is necessary to know how many workers are necessary for the line. To know the response to this question we will consider each possible takt and assign workers to tasks so that the total number of workers is minimized, provided that a given takt time is satisfied. The maximum of minimal numbers of workers for all takts will be considered as the necessary number of workers for the line. Thus, the problem is to assign workers to tasks for a takt. We prove that this problem is NP-hard in the strong sense, we develop an integer linear programming formulation to solve it, and propose conventional and randomized heuristics

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Workforce Aging in Production Systems: Modeling and Performance Evaluation

Cited by 30 publications

References 39 publications

Minimizing and Balancing Ergonomic Risk of Workers of an Assembly Line by Job Rotation: a MINLP Model

Minimizing and Balancing Ergonomic Risk of Workers of an Assembly Line by Job Rotation: a MINLP Model

Ergonomic Intrusions for the Ageing Industry and Workforce

Workforce minimization for a mixed-model assembly line in the automotive industry

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