Reducing production cycle time by ergonomic workforce scheduling

Moussavi, S.E.; Mahdjoub, Morad; Grunder, Olivier

doi:10.1016/j.ifacol.2016.07.642

Cited by 15 publications

(9 citation statements)

References 13 publications

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“…These studies generally tested their models with random data (Boenzi et al, 2015; Digiesi et al, 2018; Moussavi et al, 2016; Nanthavanij et al, 2010; Yaoyuenyong & Nanthavanij, 2008). However, our paper uses both real‐world data and random data to test the developed models.…”

Section: Discussionmentioning

confidence: 99%

“…There are some studies which focus on ergonomic issues in arranging manufacturing operations in the literature. In previous studies on this topic, some researchers have taken into account repetitive actions in assembly‐line balancing by employing the Occupational Repetitive Actions index (Baykasoglu et al, 2017; Moussavi et al, 2016; Sana et al, 2019), whereas others considered the working position in assigning workers to jobs by adopting rapid upper limb assessment (RULA) or rapid entire body assessment (REBA) (Digiesi et al, 2018; Yoon et al, 2016). To the best of our knowledge, there is no published paper that integrates HAV into job rotation schedules in manufacturing companies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The ultimate aim of their algorithm was to minimize the sum of scores assigned to specific jobs that activated a particular body part. Moussavi et al (2016) aimed at developing a mathematical model that would consider production cycle times and ergonomic issues simultaneously. In that study, each employee had to be assigned to one specific job all working day.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

A job rotation‐scheduling model for blue‐collar employees' hand–arm vibration levels in manufacturing firms

Adem

Dağdeviren

2020

Hum Ftrs & Erg Mfg Svc

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Job rotation schedules are generally conducted without considering hand–arm vibration (HAV) exposure especially in manufacturing firms, such as heavy industry, which confront ergonomic risks easily. This does not create any occupational health and safety (OHS) issues in the short term; however, certain occupational diseases such as the white finger disease are inevitable in the long‐term. This paper investigates how the risks of developing HAV‐related occupational diseases can be minimized by producing optimal job rotation schedules using ergonomic mathematical models. In the proposed models, both ergonomic and traditional aspects of manufacturing environments are considered. Moreover, the skill level and workers' day off preferences are also considered for total system efficiency. The mixed‐integer programming approach is used to formulate the models. The applicability of the models is tested using real‐world data. It is seen that the total assignment cost of the models increases when the ergonomic aims are included in the models. Thus, there is a conflicting relationship between economic and ergonomic aims. The main findings of the models show that the employees' HAV exposure level can be kept under control with one simple constraint. By employing these models, employees and employers can be protected in terms of not only OHS but also economic issues.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A job rotation‐scheduling model for blue‐collar employees' hand–arm vibration levels in manufacturing firms

Adem

Dağdeviren

2020

Hum Ftrs & Erg Mfg Svc

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“…Song et al [5] presented a job rotation algorithm that minimizes musculoskeletal disorders with decreasing the overall workload. Moussavi, et al [6] developed a rotation program that considers ergonomic risks for a planning period. Yoon, et al [7] proposed a job rotation schedule by using a mathematical model that reduces cumulative workload of the same body region.…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Model for Determining Job Rotation Strategy Considering Mental and Physical Fatique

Can¹

2018

EOIJ

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Job rotation is a type of work organization that provides the ability for doing more than one jobs for workers by directed those to different works at certain times of a working day. Mental and physical fatigue occurred on workers by high repetitive, needing attention and monotonous jobs are prevented with job rotation. By determining appropriate job rotation strategy, worker's productivity increase, company's production quantity and profitability are also increase. In this study, optimal job rotation strategy is attempted to determine by using mathematical model that aims the maximization of the production quantity in addition to reduce mental and physical fatigue. The mixed integer programming model is used for mathematical model. OWAS (Ovako Working Posture Analysis System) and NASA TLX (National Aeronautics and Space Administration Task Load Index) approaches are used to evaluate physical and mental exposure respectively. Moreover, performance changes among workers are also considered in the proposed model.

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“…The production cycle time reduction by ergonomic workforce scheduling was considered by Moussavi et al, (2016). The coefficient was found in the criteria of the consistence between the employee and bench, height, age, experience and capability.…”

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confidence: 99%

Ergo-Scheduling

Şenyiğit

2017

PROSOC

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In this paper we consider scheduling problem under ergonomic risk factors. We recruit OCRA index to control musculoskeletal disorder along schedule. Modern manufacturing systems competition power depends on cost, time and flexibility level. Despite of high level automation in manufacturing system, flexibility depends on human workforce. From this perspective, for gaining high rate production, workforces have to endure high frequency manual job. This case causes musculoskeletal disorder. Musculoskeletal disorder which had to be control is one of the most important ergonomic risks in work environment. We used OCRA index mean value for ergonomic risk assessment. We also named this new type of scheduling as Ergo-Scheduling.

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Reducing production cycle time by ergonomic workforce scheduling

Cited by 15 publications

References 13 publications

A job rotation‐scheduling model for blue‐collar employees' hand–arm vibration levels in manufacturing firms

A job rotation‐scheduling model for blue‐collar employees' hand–arm vibration levels in manufacturing firms

A Mathematical Model for Determining Job Rotation Strategy Considering Mental and Physical Fatique

Ergo-Scheduling

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