Leveraging the potential of process technology through workflow scheduling

Emerald - Tập 13 Số 1 - Trang 7-28 - 2002
Paulo J.Gomes1, Larry C.Meile2
1Boston University, Boston, Massachusetts USA
2Boston College, Boston, Massachusetts, USA

Tóm tắt

The paper proposes that improvements in the productivity of process technology can be achieved by analyzing and instituting changes in the rules and methods through which work is organized. The implementation of information‐based process technology in a bank’s check processing system provides the context for the study. A simulation approach is used to assess the benefits of introducing alternative workflow scheduling rules after implementation of the new technology. Results from a hypothetical setting, using data from an actual check processing center, demonstrate the cost advantages of introducing a priority‐based scheduling rule. The implications and problems associated with practical implementation are discussed.

Từ khóa


Tài liệu tham khảo

Adler, P.S. (1989), “When knowledge is the critical resource, knowledge management is the critical task”, IEEE Transactions on Engineering Management, Vol. 36 No. 2, pp. 87‐94.

(The) Advisory Board Company (1995), Served Before its Time? The Unrealized Promise of Check Image Processing, Operations and Technology Council Publication.

American Bankers Association (ABA) (1996), Check Processing Survey Report, ABA Publications, Washington, DC.

Banks, J., Carson, J.S. and Nelson, B.L. (1996), Discrete‐event Simulation, 2nd ed., Prentice‐Hall, Upper Saddle River, NJ.

Banks, J., Carson, J.S. and Sy, J.N. (1995), Getting Started with GPSS/H, 2nd ed., Wolverine Software Corporation, Alexandria, VA.

Baybars, I. (1986), “A survey of exact algorithms for the simple assembly line balancing problem”, Management Science, Vol. 32, pp. 909‐32.

Berman, O., Larson, R.C. and Pinker, E. (1997), “Scheduling workforce and workflow in a high volume factory”, Management Science, Vol. 43, pp. 158‐72.

Boyd, S. and Mabert, V.A. (1977), “A two stage forecasting approach at the chemical bank of New York for check processing”, Journal of Bank Research, Summer, pp. 101‐7.

Brynjolfsson, E. and Hitt, L. (1996), “Paradox lost? Firm‐level evidence on the returns of information systems spending”, Management Science, Vol. 42, pp. 541‐58.

Carlson, R.C., Hershey, J.C. and Kropp, D.H. (1979), “Use of optimization and simulation models to analyze outpatient health care settings”, Decision Sciences, Vol. 10, pp. 412‐33.

Davenport, T.H. and Short, J.E. (1990), “The new industrial engineering: information technology and business process redesign”, Sloan Management Review, Summer, pp. 11‐27.

Davis, S.G. and Reutzel, E.T. (1981), “Joint determination of machine requirements and shift scheduling in banking operations”, Interfaces, Vol. 11 No. 1, pp. 41‐2.

Davis, S.G. and Swanson, L.A. (1978), “A computerized operations scheduling model for the reduction of commercial bank float”, Journal of the Operational Research Society, Vol. 29 No. 6, pp. 558‐64.

Davis, S.G., Ceto, N. and Rabb, J. (1982), “A comprehensive check processing simulation model”, Journal of Bank Research, Autumn, pp. 185‐94.

Davis, S.G., Kleindorfer, G.B., Kochenberger, G.A., Reutzel, E.T. and Brown, E.W. (1986), “Strategic planning for bank operations with multiple check processing locations”, Interfaces, Vol. 16 No. 6, pp. 1‐12.

Dewan, S. and Min, C. (1997), “The substitution of information technology for other factors of production: a firm level analysis”, Management Science, Vol. 43, pp. 1660‐75.

Dosi, G. (1982), “Technological paradigms and technological trajectories: a suggested interpretation of the determinants and directions of technical change”, Research Policy, Vol. 11, pp. 147‐62.

Ettlie, J.E. (1988), Taking Charge of Manufacturing: How Companies Are Combining Technological and Organizational Innovations to Compete Successfully, Jossey‐Bass, San Francisco, CA.

Gerwin, D. (1988), “A theory of innovation processes for computer‐aided manufacturing technology”, IEEE Transactions on Engineering Management, Vol. 35 No. 2, pp. 90‐100.

Hackett, G.P. (1990), “Investment in technology: the service sector sinkhole?”, Sloan Management Review, Vol. 31 No. 2, pp. 97‐103.

Hammer, M. and Champy, J. (1993), Reengineering the Corporation – A Manifesto for Business Revolution, HarperCollins Publisher, New York, NY.

Harker, P.T. (1995), “Services and technology: reengineering the railroads”, Interfaces, Vol. 25 No. 3, pp. 72‐80.

Hill, A.V. and Whybark, D.C. (1982), “Chexpedite: a computer‐based approach to the bank courier problem”, Decision Sciences, Vol. 13, pp. 251‐65.

Jaikumar, R. and Bohn, R. (1992), “A dynamic approach to operations management: an alternative to static optimization”, International Journal of Production Economics, Vol. 27, pp. 265‐82.

Kelley, M.R. (1994), “Productivity and information technology – the elusive connection”, Management Science, Vol. 40, pp. 1406‐25.

Krajewski, L., Ritzman, L. and McKenzie, P. (1980), “Shift scheduling in banking operations: a case application”, Interfaces, Vol. 10 No. 2, pp. 1‐8.

McAfee, A. and Upton, D.M. (1997), “A path‐based approach to information technology in manufacturing”, Harvard Business School Working Paper, No. 97‐094, Harvard Business School, Boston, MA.

Mabert, V.A. (1979), “A case study of encoder shift scheduling under uncertainty”, Management Science, Vol. 25, pp. 623‐31.

Mabert, V.A. and McKenzie, P. (1980), “Improving bank operations: a case study at BancOhio/Ohio National Bank”, Omega, Vol. 8 No. 3, pp. 345‐54.

Mabert, V.A. and Showalter, M.J. (1980), “Priority rules for check processing in multiple branch banking: an experimental analysis”, Journal of Operations Management, Vol. 1 No. 1, pp. 15‐24.

Mabert, V.A. and Watts, C.A. (1982), “A simulation analysis of tour‐shift construction procedures”, Management Science, Vol. 28, pp. 520‐32.

Mabert, V.A., Fairhurst and Kilpatrick (1979), “Chemical bank’s encoder daily shift scheduling system”, Journal of Bank Research, Autumn, pp. 173‐80.

Markland, R.E. and Nauss, R.M. (1983), “Improving transit check clearing operations at Maryland National Bank”, Interfaces, Vol. 13 No. 1, pp. 1‐9.

Markland, R.E. and Nauss, R.M. (1985), “Optimization of bank transit check clearing operations”, Management Science, Vol. 31, pp. 1072‐83.

Mukhopadhyay, T., Rajiv S. and Srinivasan K. (1997), “Information technology impact on process output and quality”, Management Science, Vol. 43, pp. 1645‐59.

Roach, S.S. (1991), “Services under siege – the restructuring imperative”, Harvard Business Review, Vol. 69 No. 5, pp. 82‐91.

Schmenner, R. (1986), “How can service businesses survive and prosper?”, Sloan Management Review, Vol. 27 No. 3, pp. 21‐32.

White, G.R. and Graham, M.B.W. (1978), “How to spot a technological winner”, Harvard Business Review, Vol. 52 No. 2, pp. 146‐52.

Willcocks, L.P. and Lester S. (1997), “In search of information technology productivity: assessment issues”, Journal of the Operational Research Society, Vol. 48, pp. 1082‐94.

Wilson, D. (1993), “Assessing the impact of information technology on organizational performance”, in Banker, R., Kauffman, R. and Mahmood, M. (Eds), Strategic Information Technology Management, Idea Group, Harrisburg, PA.

Thông tin
Thông tin xuất bản

Emerald

Tập 13 Số 1

7-28

Thông tin tác giả