Flexible hiring in a make to order system with parallel processing units

In this paper, we study a make-to-order production system with parallel, identical processing units. Each order needs to be satisfied on a single processing unit that is run by a crew. The inter-arrival time and the service time for each order are random variables. The system operates under a lead time performance constraint, which demands the completion of each order within a pre-determined lead time with a certain probability. The minimum number of processing units needed to satisfy this constraint is determined at the tactical level. Our research focuses on the cost savings that can be realized with the use of flexible crews via contractual hiring agreements with an External Labor Supply Agency (ELSA). The ELSA can periodically provide an agreed number of crews. The cost incurred for a flexible crew is higher than that for a permanent crew, and is decreasing in the period length. We model and analyze this system using the transient behavior analysis of multi-server queues and propose several empirically testable functions for the cost of flexible crews. In our computational study, we demonstrate possible cost savings of 2-level, threshold type hiring policies, relative to the fixed capacity system, under 9 scenarios with three demand-to-processing rate ratios and three lead time performance constraints, each of which reflects a different level of ambition. We observe that the maximum savings occur when the cost of a flexible crew is same as that of a permanent crew, and range from 29.38% to 50.56%. However, as the flexible crews become more expensive, the system may choose to employ permanent crews only. We observe that cost savings consist of two parts: savings due to the cancellation of the sclerosis of capacity discreteness, and savings due to the use of workload information in hiring actions. The latter part is higher for more ambitious lead time performance constraints, and for higher mean processing times. Finally, when there is an additional cost for transacting an agreement with the ELSA, we observe that the capacity flexibility option loses its charm, especially if the transaction cost is higher than the cost of a permanent crew.

[1]  J. Will M. Bertrand,et al.  A study of simple rules for subcontracting in make-to-order manufacturing , 2001, Eur. J. Oper. Res..

[2]  Micha Yadin,et al.  On queueing systems with variable service capacities , 1967 .

[3]  Edieal J. Pinker,et al.  Contingent Labor Contracting Under Demand and Supply Uncertainty , 2001, Manag. Sci..

[4]  Howard Kunreuther Production-Planning Algorithms for the Inventory-Overtime Tradeoff , 1971, Oper. Res..

[5]  Peter W. Glynn,et al.  Managing Capacity and Inventory Jointly in Manufacturing Systems , 2002, Manag. Sci..

[6]  R. Ballou Business Logistics Management , 1991 .

[7]  M. Yadin,et al.  Queueing Systems with a Removable Service Station , 1963 .

[8]  G. Reuter,et al.  Spectral theory for the differential equations of simple birth and death processes , 1954, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[9]  V. Kulkarni Modeling, Analysis, Design, and Control of Stochastic Systems , 2000 .

[10]  Osman Alp,et al.  Tactical capacity management under capacity flexibility , 2008 .

[11]  Joseph M. Milner,et al.  Supply chain capacity and outsourcing decisions: the dynamic interplay of demand and supply uncertainty , 2002 .

[12]  T. Stern Approximations of Queue Dynamics and Their Application to Adaptive Routing in Computer Communication Networks , 1979, IEEE Trans. Commun..

[13]  Sherwin Rosen,et al.  Chapter 12 The theory of equalizing differences , 1986 .

[14]  Edieal J. Pinker,et al.  Optimizing the use of contingent labor when demand is uncertain , 2003, Eur. J. Oper. Res..

[15]  Janice C. Eberly,et al.  Multi-Factor Dynamic Investment Under Uncertainty , 1996 .

[16]  Jayashankar M. Swaminathan,et al.  Demand and Production Management with Uniform Guaranteed Lead Time , 2005 .

[17]  A. S. Manne CAPACITY EXPANSION AND PROBABILISTIC GROWTH , 1961 .

[18]  H. Chenery Overcapacity and the Acceleration Principle , 1952 .

[19]  Jeremy Reynolds,et al.  Externalizing employment: Flexible staffing arrangements in US organizations , 2003 .

[20]  John A. Buzacott,et al.  Stochastic models of manufacturing systems , 1993 .

[21]  C. C. Holt,et al.  Planning Production, Inventories, and Work Force. , 1962 .

[22]  George Liberopoulos,et al.  Perturbation Analysis for the Design of Flexible Manufacturing System Flow Controllers , 1992, Oper. Res..

[23]  James P. Womack,et al.  Lean Thinking: Banish Waste and Create Wealth in Your Corporation , 1996 .

[24]  T. B. Crabill Optimal Control of a Service Facility with Variable Exponential Service Times and Constant Arrival Rate , 1972 .

[25]  Avishai Mandelbaum,et al.  Telephone Call Centers: Tutorial, Review, and Research Prospects , 2003, Manuf. Serv. Oper. Manag..

[26]  Stanley B. Gershwin,et al.  Production and Subcontracting Strategies for Manufacturers with Limited Capacity and Volatile Demand , 2004, Ann. Oper. Res..

[27]  林岡源,et al.  Ronald H. Ballou, Business Logistics Management New Jersey: Prentice-Hall Inc., 1973 , 1975 .

[28]  J. Will M. Bertrand,et al.  Periodic capacity management under a lead-time performance constraint , 2013, OR Spectr..

[29]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[30]  Colin E. Bell Technical Note - Turning Off a Server with Customers Present: Is This Any Way to Run an M/M/c Queue with Removable Servers? , 1975, Oper. Res..

[31]  Steven A. Lippman,et al.  Applying a New Device in the Optimization of Exponential Queuing Systems , 1975, Oper. Res..

[32]  J. MacGregor Smith,et al.  Please Scroll down for Article International Journal of Production Research Robustness of State-dependent Queues and Material Handling Systems Robustness of State-dependent Queues and Material Handling Systems , 2022 .

[33]  Michael C. Fu,et al.  Monotone Optimal Policies for a Transient Queueing Staffing Problem , 2000, Oper. Res..

[34]  Shaler Stidham,et al.  Analysis, Design, and Control of Queueing Systems , 2002, Oper. Res..

[35]  Michael J. Magazine,et al.  A Classified Bibliography of Research on Optimal Design and Control of Queues , 1977, Oper. Res..