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Growing Science » International Journal of Industrial Engineering Computations » Planning Annuaulised hours when spike in demand exists

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International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 3 Issue 3 pp. 313-320, 2012

Planning Annuaulised hours when spike in demand exists Pages 313-320 Right click to download the paper Download PDF

Authors: MR Sureshkumar, V Madhusudanan Pillai

📋 Author Affiliations:
M.R. Sureshkumar (Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut 673 601, Kerala, NIT Campus (P.O), India)
V. Madhusudanan Pillai (Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut 673 601, Kerala, NIT Campus (P.O), India)
doi 10.5267/j.ijiec.2012.02.004
Crossmark
5 Source: Scopus
Crossref 1 Source: CrossRef

🔑 Keywords: Annualised hours, Manpower planning, Mixed integer linear programming Holiday weeks

Abstract: Manpower planning using annualised hours is an effective tool where seasonal demand for staff in industry exists. In annualised hours (AH) workers are contracted to work for a certain number of hours per year. The workers are associated with relative efficiency for different types of tasks. This paper proposes a Mixed Integer linear Programming (MILP) model to solve an annualised working hours planning problem when spike in demand exists. The holiday weeks for the workers are considered as partially individualised. If a worker has been assigned with more than one type of working week in a week, this will be compensated with one or more holiday week. The performance of the model is demonstrated with an example. It can be seen that this type of modelling helps to meet the spikes in demand with less capacity shortage compared with one working week in a week.

How to cite this paper
APA: Sureshkumar, M & Pillai, V. (2012). Planning Annuaulised hours when spike in demand exists. International Journal of Industrial Engineering Computations, 3(3), 313-320.
Chicago/Turabian: Sureshkumar, M & Pillai, V. 2012. "Planning Annuaulised hours when spike in demand exists." International Journal of Industrial Engineering Computations 3, no. 3 (2012): 313-320.
AMA: Sureshkumar, M & Pillai, V. Planning Annuaulised hours when spike in demand exists. International Journal of Industrial Engineering Computations. 2012;3(3):313-320.

References
Workforce logistics, Annual hours case study-Rhodia. Available online at: www.workforce-logistics.com/Case_study_Annual_Hours_at_Rhodia.htm. (accessed on 11-09-2007).

MacMeeking, J. ( 1995). Why Tesco’s new composite distribution needed annual hours. International Journal Retail Distribution Management, 23, 36–38.

Corominas, A., Lusa, A., & Pastor, R. (2007a). Planning annualised hours with a finite set of weekly working hours and cross trained workers. European Journal of Operational Research, 176, 230–239.

Hung, R. (1999a). Scheduling a workforce under annualised hours. International Journal of Production Research, 37(11), 2419–2427.

Hung, R. (1999b). A multiple-shift workforce scheduling model under annualised hours. Naval Research Logistic, 46, 726–736.

Corominas, A., Lusa, A., & Pastor, R. (2007b). Using a MILP model to establish a framework for an annualised hours agreement. European Journal of Operational Research, 177, 1495–1506.

Corominas, A., Lusa, A., & Pastor, R. (2004). Planning annualised hours with a finite set of weekly working hours and joint holidays. Annals of Operations Research, 128, 217–233.

Azmat, C.S., & Widmer, M. (2004).A case study of single shift planning and scheduling under annualised hours: A simple three step approach. European Journal of Operational Research. 153 (1), 148–175.

Grabot, B., & Letouzey, A. (2000). Short-term manpower management in manufacturing systems: New requirements and DSS prototyping. Computers in Industries, 3(1), 11–29.

Suresh Kumar, M.R, & Pillai V. M, (2009). Planning Annualised Hours with Partially Individualised Holiday Weeks. International Journal of Operations and Quantitative Management, 15, 173-188.

Corominas, A., Lusa, A., & Pastor, R. (2002) Using MILP to plan annualised working hours. Journal of Operational Research Society, 53, 1101-1108.
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Journal: International Journal of Industrial Engineering Computations | Year: 2012 | Volume: 3 | Issue: 3 | Views: 2082 | Reviews: 0

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