INNOVATIVE FRAMEWORK FOR SKILL SPECIFIC WORKLOAD VARIANCE REDUCTION FOR SRI LANKAN AIRLINES TECHNICAL WORKFORCE CAPACITY PLANNING

Thusitha Rodrigo
School of Management, Huazhong University of
Science and Technology, Wuhan, P.R. China
This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Employee workload variance is a significant issue in skill specific airline ground opera-tions. This study presents a dual objective capacity assignment model with interdependent objectives of operational cost minimization and workload variance minimization. An inno-vative metaheuristic Tabu Search algorithm is used for solution where equilibrium of the objectives are derived from a feasibility frontier. A numerical experiment is conducted with real time data of Sri Lankan airlines technical workforce segment and the results indicates a significant 70.13% variance minimization compared to manual assignment with a simulta-neous cost saving of 2.58% at a substantially lesser planning time. An inverse relationship is observed between job distribution and the workload variance which explains the ineffi-ciencies in manual capacity assignment. The proposed framework enhances the operational planning flexibility as well in terms of interconnected adjustment feasibility of workload variance and workforce cost.

Keywords: Airline ground operations, workforce variance, cost minimization, planning flexibility, heuristics

Attachments:
Download this file (0919 Final.pdf)0919 Final.pdf[ ]258 kB
Go to Top
Template by JoomlaShine