Scheduling with Job Dependent Learning Effect and Ergonomic Risk Deterioration

Şenyiğit, Ercan; Atıcı, Uğur

doi:10.1109/ismsit.2018.8567246

Cited by 8 publications

(11 citation statements)

References 22 publications

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“…According to the results of the current paper, the schedules had a weekly planning horizon (i.e. 7 days) while there are various studies which were produced on a 1‐day schedule (Nanthavanij et al, 2010; Sana et al, 2019; Senyigit & Atici, 2018; Tharmmaphornphilas et al, 2003; Yaoyuenyong & Nanthavanij, 2006).…”

Section: Discussionmentioning

confidence: 97%

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: 97%

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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“…Minimizing WMSD risks are important in terms of providing sustainable labor force and productivity. Furthermore WMSD risk assessments are mandatorily done within the scope of occupational health and safety legislation and national/international standards (TR, 2012;TSE, 2011;Şenyiğit & Atici, 2018). Risk assessment and management were established in scientific field 30-40 years ago and many developments were performed in theoretical field (Aven, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…OCRA (Occupational Repetitive Actions) index is one of the methods that is used for risk assessment of musculoskeletal disorders regarding repetitive technical activities (Occhipinti, 1998). OCRA index provides valid index value based on observation associated with pathologic case percentage expected among all working population (Micheli & Marzorati, 2018;Şenyiğit & Atici, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, it was reported that these studies need to be benefited from different disciplines like manufacturing, engineering, ergonomics, psychology, information and management science. A framework that aims to guide studies examining human in scheduling and manufacturing industry was developed (MacCarthy, Wilson, & Crawford, 2001;Şenyiğit & Atici, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Single machine scheduling problem under ergonomic risk factors was studied. OCRA index was used as risk assessment method and included to scheduling equations as a constant value (Şenyiğit & Atici, 2017b;Şenyiğit & Atici, 2018). It was presented that decision makers can not exactly determine the due-date and processing time due to insufficiencies in experience, judgment and knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Parallel Machine Scheduling with WMSD Risk Considerations

Şenyiğit¹,

Atıcı²

2019

European Journal of Science and Technology

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This paper introduces the parallel machine scheduling problems with work related musculoskeletal disorder (WMSD) risk considerations. By the WMSD consideration, we mean that job processing times are an increasing function of occupational repetitive technical actions (OCRA) risk factor. The OCRA index was recruited for risk assessment of occupational repetitive technical actions. WMSD risks were modeled with cumulative mean value of OCRA index. Due to NP-Hard structure of parallel machine scheduling problems with WMSD considerations and learning rate, the solution cannot be found always. However, problem can be solved by transforming assignment problem. In spite of the fact that the computational effort remains O (n 4), problem is solved within more efficient time. In this study, a model that includes learning effect and WMSD risk was proposed. WMSD risk was considered as cumulative mean of risk value throughout shift. In order to the balance between productivity and WMSD risk, jobs' foreseeable cycle time (FCT) value was changed. It is aimed to decrease mean of risk along schedule without increasing total basic process time. The value of sacrifice from the FCT was compensating from job which have optimal, acceptable, borderline or slight risk level. Process time and risk values were recalculated by using new FCT value. Thus, balanced process times and risk values obtained. Proposed model was solved with Lingo software and sequence of jobs was obtained. Total flow time and mean of risk were compared for balanced and none balanced schedules. Total flow time and mean of risk belong to balanced schedule is smaller than none balanced schedule. It was shown that handled problem is solvable at the polynomial time and total flow time can be improved by bringing balance between WMSD risks and productivity.

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Mathematical Model for Ergonomic Job Rotation Scheduling to Balance the Workload of Employees in Assembly Lines

Dinler

Işık

2020

Advances in Manufacturing, Production Management and Process Control

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Scheduling with Job Dependent Learning Effect and Ergonomic Risk Deterioration

Cited by 8 publications

References 22 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

Parallel Machine Scheduling with WMSD Risk Considerations

Mathematical Model for Ergonomic Job Rotation Scheduling to Balance the Workload of Employees in Assembly Lines

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