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Ajith Kumar, J.
- Staff Scheduling in a Product Support Centre
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1 XLRI Xavier School of Management, Jamshedpur, Jharkhand, IN
1 XLRI Xavier School of Management, Jamshedpur, Jharkhand, IN
Source
International Journal of Business Analytics and Intelligence, Vol 4, No 2 (2016), Pagination: 9-20Abstract
The present study addresses the problem of staff scheduling in the product support centre of a large multinational technology company in India. Essentially, the problem was to develop rosters that minimise the cost of staffing, while ensuring that service level constraints are satisfied. Broadly speaking, previous research on call centre scheduling has taken two approaches to address the problem, the split approach and the integrated approach. The former handles the full problem by sequentially solving two separate sub-problems - staffing and scheduling - taking the solution to the staffing problem as an input to the scheduling problem. In contrast, the integrated approach proceeds iteratively by solving both parts repeatedly and converging to an optimal solution. We describe the split approach that we took to solve the problem. Our contributions include the modification of a heuristic used earlier to schedule staff in an airport's immigration centre and applying the modified version in conjunction with discrete-event simulation to solve the staffing sub-problem in the product support centre. Using realistic data, we also demonstrate how the heuristic fits into the larger procedure of solving the full staff scheduling problem.Keywords
Product Support Centre, Staff Scheduling, Discrete-Event Simulation, Heuristic.
- Replenishment Policy in a Two-Echelon Supply Chain:An Analysis Using Discrete-Event Simulation
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Authors
Affiliations
1 XLRI Xavier School of Management, Jamshedpur, Jharkhand, IN
1 XLRI Xavier School of Management, Jamshedpur, Jharkhand, IN
Source
International Journal of Business Analytics and Intelligence, Vol 5, No 2 (2017), Pagination: 37-48Abstract
The present study identifies optimal inventory policies for two-echelon systems under the effects of supply disruptions and stochastic demand. Previous research has incorporated and addressed stochastic demand quite extensively but the study of supply disruptions is relatively new. Presently, supply disruptions are studied heuristically and through theoretical analysis to identify optimum inventory levels. The current study uses discrete event simulation to arrive at optimal policies under varied levels of supply disruptions and stochastic demand. It uses a designed experiment to vary disruption length and disruption frequency. We find that under conditions of supply disruption, a decentralised policy is more likely to yield lower costs than a centralised policy when disruption levels are high but a centralised policy is better otherwise.Keywords
Supply Disruptions, Discrete-Event Simulation, Two-Echelon System, Experimental Design.References
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