PART-TIME WORKFORCES SCHEDULING WITH VARIABLE PRODUCTIVITY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AKBARI MOHAMMAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Management Research in Iran Year:2017 | Volume:21 | Issue:3 Page(s): 25-47

Download Full-Text

Persian Verion

View:

959

Download:

Cites:

Information Journal Paper

Title

PART-TIME WORKFORCES SCHEDULING WITH VARIABLE PRODUCTIVITY

Author(s)

AKBARI MOHAMMAD | Issue Writer Certificate

Keywords

STAFF SCHEDULINGQ2

WORKER FATIGUEQ1

PART-TIME EMPLOYEEQ1

GENETIC ALGORITHMQ2

Abstract

This research aims to incorporate human factors engineering into the scheduling theory in order to exploit optimized human performance. STAFF SCHEDULING issue in which PART-TIME EMPLOYEEs have variable performance was studied in this paper. Objective function of the mathematical model is to minimize staffing costs and provided model tries to determine best shifts duration and employees assignments. The unique characteristic and novelty of this study is consideration of ergonomic aspect (fatigue rate of employees) in STAFF SCHEDULING problem. We used GENETIC ALGORITHM to solve model. In order to examine effectiveness and efficiency of the model, a set of problems were solved. Also efficiency of GA algorithm results were compared against LINGO results. Comparison of results demonstrated that GA algorithm has good ability to find satisfying solution in reasonable computational running time. This study showed that we can model human fatigue in employee scheduling and planning and consider flexible working shifts to decrease labor cost and increase production efficiency. In order to study policies of decreasing labor fatigue and increasing his/her working capacity, applying provided model were suggested for comparing cost of policies (such as education, job rotation, automation and …) against economic benefits of them in scheduling and choosing the best.

Cites

No record.

References

No record.

Cite

Related Journal Papers