Abstract
Managing back-office operations for financial services is a challenging task because of highly volatile and dynamic demand requirements. Lack of service inventories, the inability to backlog demand and significant shortage and overage costs complicate the problem. In such situations, outsourcing all or part of the demand to third-party vendors provides a viable and cost effective option for the firm. Motivated by the remittance processing operations of a Fortune 100 company we examine the usefulness of complementing in-house staffing with different outsourcing arrangements. We study capacity-based and volume-based contracts between a financial services firm and an outsourcing vendor. We examine the impact of demand characteristics on the parameters of contract choice. Through extensive numerical analysis, we ascertain that neither contract is universally preferred, but cost and revenue structures along with demand characteristics determine contract choice.
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Aksin OZ, Armony M and Mehrotra V (2007). The modern call center: A multi-disciplinary perspective on operations management research. Production and Operations Management 16 (6): 665–688.
Aksin OZ, de Vericourt F and Karaesmen F (2008). Call center outsourcing contract analysis and choice. Management Science 54 (2): 354–368.
Atamtürk A and Hochbaum D (2001). Capacity acquisition, subcontracting, and lot sizing. Management Science 47 (8): 1081–1100.
Azaiez MN and Al Sharif SS (2005). A 0-1 goal programming model for nurse scheduling. Computers and Operations Research 32: 491–507.
Bailey J (1985). Integrated days off and shift personnel scheduling. Computers and Industrial Engineering 9 (4): 395–404.
Bajari P and Tadelis S (2001). Incentives versus transaction costs: A theory of procurement contracts. RAND Journal of Economics 32 (3): 387–407.
Baker K (1976). Workforce allocation in cyclical scheduling problems: A survey. Operational Research Quarterly 27 (1): 155–167.
Basel Committee on Banking Supervision (2005). Outsourcing in financial services. Available at: http://www.bis.org/publ/joint12.pdf, accessed 25 February 2008.
Brusco MJ and Johns TR (1995). Improving the dispersion of surplus labor in personnel scheduling solutions. Computers and Industrial Engineering 28 (4): 745–754.
Cachon G (2003). Supply chain coordination with contracts. In: Graves S and de Kok AG (eds). Handbooks in Operations Research and Management Science: Supply Chain Management, Chapter 11. North-Holland: Amsterdam, pp 229–340.
Chu SCK (2007). Generating, scheduling and rostering of shift crew-duties: Applications at the Hong Kong international airport. European Journal of Operational Research 177: 1764–1778.
Easton F and Rossin D (1996). A stochastic goal program for employee scheduling. Decision Science 27 (3): 541–568.
Federal Reserve Bank of New York (1999). Outsourcing Financial Services Activities: Industry Practices to Mitigate Risks. Federal Reserve Bank of New York: New York.
Fry MJ, Magazine MJ and Rao US (2006). Firefighter staffing including temporary absences and wastage. Operations Research 54 (2): 353–365.
Gans N, Koole G and Mandelbaum A (2003). Telephone call centers: Tutorial, review, and research prospects. Manufacturing Service Operations Management 5 (2): 79–141.
Goodman DA (1974). A goal programming approach to aggregate planning of production and work force. Management Science 20 (12): 1569–1575.
Green LV, Kolesar PJ and Whitt W (2007). Coping with time-varying demand when setting staffing requirements for a service system. Production and Operations Management 12 (1): 13–39.
Gursel O, Joseph J and Krishna M (2002). More outsourcing for banks. McKinsey Quarterly 2: 10.
Hur D, Mabert VA and Bretthauer KM (2004). Real-time work schedule adjustment decisions: An investigation and evaluation. Production and Operations Management 13 (4): 322–339.
Krajewski L, Ritzman L and McKensie P (1980). Shift scheduling in banking operations: A case application. Interfaces 10 (2): 1–8.
Larson RC and Pinker EJ (2000). Call centers in financial services: Strategies, technologies and operations. In: Melnick EL, Nayyar PR, Pinedo ML and Seshadri S (eds). Creating Value in Financial Services, Chapter 17. Kluwer Academic Publishers: Norwell, MA, pp 327–356.
Mabert V (1979). A case study of encoder shift scheduling under uncertainty. Management Science 25 (7): 623–631.
Mabert V and Watts C (1982). A simulation analysis of tour-shift construction procedures. Management Science 28: 520–532.
Moondra S (1976). An L.P. model for work force scheduling for banks. Journal of Bank Research 6: 299–301.
Morgan TP (2008). Gartner predicts strong outsourcing, weakening business intelligence markets. Available at: http://www.itjungle.com/tfh/tfh012108-story10.html, accessed 01 March 2008.
Morris J and Showalter M (1983). Simple approaches to shift, days-off, and tour scheduling problems. Management Science 29: 942–950.
Pinedo ML, Seshadri S and Shanthikumar JG (2000). Call centers in financial services: Strategies, technologies and operations. In: Melnick EL, Nayyar PR, Pinedo ML and Seshadri S (eds). Creating Value in Financial Services, Chapter 18. Kluwer Academic Publishers: Norwell, MA, pp 357–388.
Ren ZJ and Zho Y-P (2008). Call center outsourcing: Coordinating staffing level and service quality. Management Science 54 (2): 369–383.
Van Mieghem JA (1999). Coordinating investment, production, and subcontracting. Management Science 45 (7): 954–972.
Whitt W (2006). Staffing a call center with uncertain arrival rate and absenteeism. Production and Operations Management 15 (1): 88–102.
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Appendix
Appendix
Proof of Lemma 1:
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Since we are proving the analytical results for the single period formulation, we drop the subscript t form our notations. To prove the above result, we first represent the positive and negative deviations, S k + and S k −, that satisfy the overtime constraint as follows:
and
Then, the firm's cost minimization objective can be written as:
We will show that at p o=c f , the firm incurs lower cost if it outsources zero volume and covers the demand requirements with only in-house operations rather than outsourcing V o with U number of full-time employees.
Without any loss of generality, we pick, U+V o=M(<K).
We denote, the firm's cost when it outsources zero volume and uses M number of full-time employees as Ω1 o and when it outsources V o with U number of full-time employees as Ω2 o. We need to show that Ω1 o<Ω2 o.
Since, c e ⩾0 and V o−k⩾0 for 0⩽k⩽V o, we can conclude from (A.1) and (A.2): Ω1 o<Ω2 o. Therefore, at p o=c f , the firm will never outsource any volume. Hence, the optimal price charged by the vendor has to be less than c f otherwise the vendor will earn zero revenue. When c e =0, it follows that the optimal price charged by the vendor has to be ⩽c f , that is, p o⩽c f . □
Proof of Lemma 2:
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As we had done in the proof for Proposition 1, we first represent the positive and negative deviations, S k + and S k −, that satisfy the overtime constraint as follows:
and
Then the firm's cost minimization objective can be written as follows:
To prove that p i⩾c f we first show that for p i=c f the firm outsources all the workload. Let Ω1 i be the firm's total cost if all the workload is outsourced and Ω2 i be the firm's total cost if volume equal to d jk i is kept in-house with U number of full-time employees at p i=c f . We will show that Ω1 i<Ω2 i. d jk i and U are picked without any loss of generality.
Since, c d >c f , we denote c d =c f +c̃. Then
Clearly, Ω1 i<Ω2 i.
Therefore, at p i=c f , the firm incurs lower costs if it outsources all the workload. Using similar arguments as above we can easily show that for p i<c f it is optimal for the firm to outsource the entire workload. Hence, we prove that for p i⩽c f , the vendor gets the entire volume of workload. For p i⩽c f , vendor's profit would be maximum if he charges p i=c f . So the vendor would never charge a price less than c f . Therefore, c f gives the lower bound for p i. □
Proof of Lemma 3:
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Suppose the optimal price charged by the vendor is p o and the optimal volume outsourced by the firm is V o and the number of full-time employees is U. Let Δ be the difference in cost for the firm if the firm outsources an unit less than V o and covers that by an additional full-time employee and if the firm outsources V o with U full-time employees at outsourcing price p o.
We will show that Δ is non-decreasing in demand. Let Ω1 o be the cost incurred by the firm if it outsources V o and employs U full-time employees and Ω2 o be the cost incurred by the firm if it outsources V o−1 and employs U+1 full-time employees at outsourcing price p o.
Therefore,
As demand increases decreases by stochastic dominance.
Hence, Δ is non-decreasing in demand. That is if demand increases it is not cost efficient for the firm to decrease volume outsourced and increase the number of full-time employees by even an unit volume. Hence, it is not beneficial for the firm to increase the number of full-time employees and decrease volume outsourced under identical prices when demand increases. □
Proof of Theorem 2:
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From Lemma 3 we know that at the same outsourcing price p o, the outsourcing volume of the firm is non-decreasing in demand. Hence, at the same price the vendor earns more revenue as demand increases. Therefore, the profit earned by the vendor at the optimal price has to be higher or at least equal to the profit earned under identical pricing. □
Proof of Theorem 3:
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We know from Lemma 2 that at p i=c f the firm outsources all the volume and that p i⩾c f . Suppose the optimal price charged at a certain demand volume is p i=c f . Then as demand increases at p i the firm still outsources all the volume. Therefore, the revenue and in turn the profits for the vendor increases even if he continues to charge p i=c f . However, if the optimal price charged is more then the increment in profit is also higher.
From the firm's perspective the vendor either charges p i=c f or a price >c f as demand increases. Therefore, the firm cost has to increase because the firm now has to cover for more jobs and the outsourcing price is also non-decreasing. □
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Basu, P., Nair, S. Analysis of back-office outsourcing contracts for financial services operations. J Oper Res Soc 63, 1679–1692 (2012). https://doi.org/10.1057/jors.2012.5
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DOI: https://doi.org/10.1057/jors.2012.5