"We present a framework that integrates strategic and operational workforce planning models. Since these models provide decisions for planning horizons with different lengths, the formulation and solution strategy should ensure that the flow of information between these models is both appropriate and consistent.
The single-shift workforce planning problem is formulated as a two-phase goal program. In the first phase, the model allocates the workers to machine groups and identifies the shortage of workers (referred to as gap) followed by the second phase, in which certain constraints are relaxed and the workers are reallocated to the machine groups in order to minimize the gap. For multi-shift planning, we first present a monolithic integer programming formulation that assigns regular and overtime workers to multiple shifts considering the factory overtime policies along with other business rules. Next, based on the problem structure, we present a decomposition strategy so that it can seamlessly be integrated with the single-shift model, providing flexibility for real-world implementations. The formulation of these models makes them both scalable and adaptable to general manufacturing scenarios. Lastly, we present a control theoretic formulation and solution strategy for the strategic models. We provide the structural analysis and sufficiency conditions for optimality for these models.
These models been developed considering the real-world business rules and data provided by a leading semiconductor manufacturer. We provide sample numerical results for the single-shift and multi-shift models based on initial testing and validation in their factories. The benefits of the proposed framework include: increased operational efficiencies due to optimal worker-machine group allocation, effective design and implementation of cross-training programs leading to accurate estimation of the workforce requirements, and reduction in the overall manufacturing costs"--Abstract, page iv.
Grasman, Scott E. (Scott Erwin)
Cudney, Elizabeth A.
Landers, Robert G.
Engineering Management and Systems Engineering
Ph. D. in Engineering Management
Missouri University of Science and Technology
xi, 105 pages
© 2011 Shrikant Jarugumilli, All rights reserved.
Dissertation - Restricted Access
Management science -- Computer simulation
Semiconductor production equipment industry
Management science -- Mathematical models
Manufacturing processes -- Computer simulation
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu:80/record=b10158015~S5
Jarugumilli, Shrikant, "Workforce planning models for semiconductor manufacturing: assembly-test operations" (2011). Doctoral Dissertations. 89.
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