Doctoral Dissertations
Abstract
"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.
Advisor(s)
Grasman, Scott E. (Scott Erwin)
Committee Member(s)
Liu, Zhen
Cudney, Elizabeth A.
Landers, Robert G.
Singler, John
Keng, Naiping
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Sponsor(s)
Intel Corporation
Publisher
Missouri University of Science and Technology
Publication Date
Summer 2011
Pagination
xi, 105 pages
Note about bibliography
Includes bibliographical references (pages 100-104).
Rights
© 2011 Shrikant Jarugumilli, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Management science -- Computer simulationSemiconductor production equipment industryManagement science -- Mathematical modelsManufacturing processes -- Computer simulation
Thesis Number
T 10266
Print OCLC #
862972902
Electronic OCLC #
908695099
Recommended Citation
Jarugumilli, Shrikant, "Workforce planning models for semiconductor manufacturing: assembly-test operations" (2011). Doctoral Dissertations. 89.
https://scholarsmine.mst.edu/doctoral_dissertations/89
Comments
This work was completely funded by Intel Research Council and Intel Corporation.