Developing staff schedules for a bilingual telecommunication call center with flexible workers (original) (raw)

Scheduling of agents in inbound multilingual call centers

Brazilian Journal of Operations & Production Management, 2017

This paper presents an Integer Linear Programming model, which enables the scheduling of agents in call centers according to segmentation by skills, as well as the inclusion of labor law restrictions. The results from the experimental application of this method to situations involving real-time problems are presented, wherein the necessary shifts to meet forecasted demand are provided, in addition to an economically optimum combination of agents and skills, generating a solution, which is sufficient to maintain the desired level of service at the lowest cost possible. The approach proposed in this study presents an alternative worthy of consideration, since it is able to successfully incorporate the flexibility of call centers with skills-based routing in an easy-to-implement model that has proven to be effective in experiments conducted in on-the-job settings. Advances in information technology and telecommunications in recent years have increasingly heightened the presence of call...

Staff Scheduling for Inbound Call Centers and Customer Contact Centers

The staff scheduling problem is a critical problem in the call center (or more generally, customer contact center) industry. This paper describes Director, a staff scheduling system for contact centers, Director is a constraint-based system that uses AI search techniques to generate schedules that satisfy and optimize a wide range of constraints and service quality metrics. Director has been successfully deployed at over 800 contact centers, with significant measurable benefits, some of which are documented in case studies included in this paper.

Stabilizing work schedules in a call centre: Expected and unexpected results

OR Insight, 2006

At call centres, work schedules change frequently and are often announced at the last minute, which causes absenteeism and turnover. We analyzed the call centre of a major Spanish electricity company. This centre requires a long initial training period and therefore turnover is especially damaging. New scheduling methods were adopted that limited the variability of individual timetables. Lower turnover and absenteeism were expected to compensate for the disadvantages of limitations to changes in timetables.

Staff scheduling for inbound call and customer contact centers

2002

The staff scheduling problem is a critical problem in the call center (or more generally, customer contact center) industry. This paper describes Director, a staff scheduling system for contact centers. Director is a constraint-based system that uses AI search techniques to generate schedules that satisfy and optimize a wide range of constraints and service quality metrics. Director has been successfully deployed at over 800 contact centers, with significant measurable benefits, some of which are documented in case studies included in this paper.

Optimization of Multi-skill Call Centers Contracts and Work-shifts

Service Science, 2011

all centers are complex systems in which it is essential to optimize the trade-off between the service level provided to the customers and the cost for the personnel. In this paper we describe a quantitative approach to choose the most suitable contracts to hire the call center operators. The aim is to organize their work-shifts and their rest periods, including lunch-breaks, in such a way that the mix of skills obtained in each time slot is as close as possible to a desired level, estimated according to demand forecasts. The approach here proposed is based on a heuristic method which exploits a general purpose linear programming solver.

An Integrated Approach for Shift Scheduling and Rostering Problems with Break Times for Inbound Call Centers

Mathematical Problems in Engineering

It may be very difficult to achieve the optimal shift schedule in call centers which have highly uncertain and peaked demand during short time periods. Overlapping shift systems are usually designed for such cases. This paper studies shift scheduling and rostering problems for inbound call centers where overlapping shift systems are used. An integer programming model that determines which shifts to be opened and how many operators to be assigned to these shifts is proposed for the shift scheduling problem. For the rostering problem both integer programming and constraint programming models are developed to determine assignments of operators to all shifts, weekly days-off, and meal and relief break times of the operators. The proposed models are tested on real data supplied by an outsource call center and optimal results are found in an acceptable computation time. An improvement of 15% in the objective function compared to the current situation is observed with the proposed model fo...

WP227 Woydack 2017. Language management and language work in a multilingual call center: An ethnographic case study

Drawing on long-term ethnography and interviews, this paper investigates language work and language management in the context of a multilingual call center. It looks at how language issues are managed on a day-today basis, specifically in three areas that have been previously overlooked: i) the recruitment process for multilingual agents, ii) how agents are trained in language management, and iii) how their performance on the phone in multiple languages is evaluated and monitored. The paper reexamines the value of scripts, particularly in relation to knowledge management, challenging the idea that working language fluency on the phone is the principal skill required. Rather, the paper demonstrates that successful agents utilize a variety of skills which are learned with the help of scripts, concluding that 'interactive professional' rather than 'language worker' better describes the skill set required by agents for this work.

Managing trade-offs in call center agent scheduling: methodology and case study

Summer Computer Simulation Conference, 2007

This paper develops a flexible and tractable scheduling methodology that produces near-optimal call center agent schedules while taking into account the costs associated with customer waiting time, customer abandonment, and call center agents. Our methodology combines integer programming (to find a desirable staffing plan for a given total number of agents) and simulation modeling (to evaluate the weekly costs of a given staffing plan). We describe the advantages of this approach over the traditional scheduling method, and test both methods by building schedules based on actual demand and shift data from an actual call center operated by Expedia.com under a variety of cost scenarios. The new scheduling approach not only out-performs the traditional staffing approach in all scenarios examined, it reduces total weekly costs of the call center's existing agent schedule by 8-25%, depending on the scenario.

Scheduling Breaks in Shift Plans for Call Centers

In this paper we consider a real-life break scheduling problem for call center agents involving a large number of breaks and constraints. Obtaining good solutions for this problem increases the well-being of call center employees and guarantees a certain quality of service for calling customers. To solve this problem we present two local search approaches, a min-conflicts based search algorithm and a tabu search algorithm and consider a hybridization of both techniques. Our computational experiments reveal that the presented techniques generate high-quality solutions to our problems in reasonable time. These solutions are able to satisfy the needs of customers, call center agents, and employers at the same time.