@article{eef92859b60949f48575d54104040631,
title = "Performance opportunity for workforce agility in collaborative and noncollaborative work systems",
abstract = "To gain insight into the potential logistical benefits of worker cross-training and agile workforce policies, we study simple models of flexible workers in serial production systems. The primary control issue is how to assign workers to jobs/stations over time. Under assumptions of complete worker flexibility and collaborative work, we prove that a simple expedite policy minimizes along each sample path the cycle time (delay) for each job. Therefore, the expedite policy also minimizes work in process and maximizes throughput along every sample path. We also compute the performance improvement opportunity achievable using flexible workers as opposed to the optimal static allocation of workers. This enables us to examine the factors that make workforce agility a potentially attractive strategy. We also consider the intuitive analog of the expedite policy for the noncollaborative work environment, which we call the pick-and-run policy; however, we demonstrate by counterexample that it is not always optimal. Finally, we extend some of our insights from the demand-constrained environment to a capacity-constrained environment operating under a CONstant WIP (CONWIP) protocol.",
author = "{Van Oyen}, {Mark P.} and Gel, {E. G.} and Hopp, {W. J.}",
note = "Funding Information: This material is based upon work supported by the National Science Foundation under Grants NO. DMI-9322930, DMI-9522795, and DMI-9732868 to Northwestern University. It was performed as part of the second author's dissertation under the direction of the first and third authors. The authors would like to thank John Bartholdi, John McClain, Michael Veatch, and anonymous referees for helpful comments that have improved this paper. Funding Information: Dr. Mark P. Van Oyen is presently Assistant Research Professor of Industrial Engineering and Management Sciences at Northwestern University and Visiting Associate Professor of Information Systems and Operations Management in the Graduate School of Business at Loyola University Chicago. His research interests focus on the stochastic control of queues and discrete event systems and applied probability. He has received funding from the National Science Foundation, ALCOA (naming him an ALCOA Manufacturing Systems Faculty Fellow), and General Motors for the development of stochastic scheduling methods for queueing systems as well as the development of a classification and modeling system for agile workforces. From 1992 to 1993 he worked as a member of the research staff of GE Corporate R&D of Schenectady, New York, in the area of performance analysis and system design for communication networks. In 1989 and 1992 respectively, Dr. Van Oyen earned M.S.E. and Ph.D. degrees from the University of Michigan in Ann Arbor from the System Division of the Electrical Engineering and Computer Science Department, through whom he received a University of Michigan Regents Fellowship. His interests in systems theory resulted from his experience in the analysis of integrated avionics systems at Lear Siegler Instrument Div. (now Smith's Industries). Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",
year = "2001",
month = sep,
doi = "10.1023/A:1010997816249",
language = "English (US)",
volume = "33",
pages = "761--777",
journal = "IIE Transactions (Institute of Industrial Engineers)",
issn = "0740-817X",
publisher = "Taylor and Francis Ltd.",
number = "9",
}