Center for Additive Manufacturing and Logistics

Works Published in 2000

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Displaying all 17 works

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2000 speech

Trends and Issues in Extended Enterprise Systems

Uzsoy, R. (2000, October). Presented at the CETYS University, Mexicali, Mexico.

By: R. Uzsoy

Event: CETYS University at Mexicali, Mexico

Source: NC State University Libraries
Added: May 1, 2022

2000 conference paper

Supply Chain Design for Firms with Product Recovery

Proceedings of the NSF Design and Manufacturing Conference. Presented at the NSF Design and Manufacturing Conference, Vancouver, BC, Canada.

By: E. Eskigun, P. Preckel & R. Uzsoy

Event: NSF Design and Manufacturing Conference at Vancouver, BC, Canada

Source: NC State University Libraries
Added: May 1, 2022

2000 conference paper

Integrating Machine Learning and Decomposition Heuristics for Complex Factory Scheduling Problems

Proceedings of the NSF Design and Manufacturing Conference. Presented at the NSF Design and Manufacturing Conference, Vancouver, BC, Canada.

By: H. Aytug, K. Kempf & R. Uzsoy

Event: NSF Design and Manufacturing Conference at Vancouver, BC, Canada

Source: NC State University Libraries
Added: May 1, 2022

2000 conference paper

A Sequential Solution Methodology for Capacity Allocation and Lot Scheduling Problems at Photolithography

Proceedings of the 26th International Electronics Manufacturing Technology Symposium. Presented at the 26th International Electronics Manufacturing Technology Symposium, Santa Clara, CA.

By: E. Akcali & R. Uzsoy

Event: 26th International Electronics Manufacturing Technology Symposium at Santa Clara, CA

Source: NC State University Libraries
Added: May 1, 2022

2000 journal article

Evaluation and comparison of production schedules

Computers in Industry, 42(2-3), 203–220.

By: K. Kempf*, R. Uzsoy*, S. Smith* & K. Gary*

author keywords: production schedule; real-world factories; design and implementation
TL;DR: A number of different considerations that must be taken into account when assessing the quality of a schedule are described, and their implications for the design and implementation of scheduling systems are discussed. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: March 6, 2022

2000 journal article

Integrating Interval Estimates of Global Optima and Local Search Methods for Combinatorial Optimization Problems

Journal of Heuristics, 6(4), 481–500.

By: I. Ovacik*, S. Rajagopalan* & R. Uzsoy*

author keywords: programming; heuristic; analysis of algorithms; suboptimal algorithms; sequencing; deterministic; single machine
TL;DR: This paper presents a method for combining statistical optimum prediction techniques with local search methods such as simulated annealing and tabu search and illustrates the approach on a single machine scheduling problem. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: March 6, 2022

2000 journal article

Quantifying the benefits of cycle time reduction in semiconductor wafer fabrication

IEEE Transactions on Electronics Packaging Manufacturing, 23(1), 39–47.

By: K. Nemoto*, E. Akcali* & R. Uzsoy*

author keywords: cycle time; economics; simulation; wafer fabrication
Sources: Crossref, ORCID
Added: March 6, 2022

2000 journal article

Decomposition methods for reentrant flow shops with sequence-dependent setup times

Journal of Scheduling, 3(3), 155–177.

By: E. Demirkol* & R. Uzsoy*

TL;DR: This work considers the problem of scheduling a reentrant flow shop with sequence-dependent setup times to minimize maximum lateness and proposes an enhanced DM which gives promising results for these difficult scheduling problems. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: March 5, 2022

2000 journal article

Performance of decomposition procedures for job shop scheduling problems with bottleneck machines

International Journal of Production Research, 38(6), 1271–1286.

By: R. Uzsoy* & C. Wang

TL;DR: This paper examines the performance of several variants of SB, some of which can be interpreted as naive implementations of the TOC approach to scheduling and shows that both the solution time and quality of SB methods improve markedly when bottleneck workcentres are present. (via Semantic Scholar)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth (OpenAlex)
Sources: Crossref, ORCID
Added: March 5, 2022

2000 book review

A review of: “Operations scheduling with applications in manufacturing and services”M. Pinedo and X. Chao McGraw-Hill, New York 1999, 310 pages, ISBN 0-07-289779-1

[Review of Operations scheduling with applications in manufacturing and services, by M. Pinedo & X. Chao]. IIE Transactions, 32(8), 768–770.

By: R. Uzsoy*

Sources: Crossref, ORCID
Added: March 5, 2022

2000 book review

A review of: “Deterministic scheduling theory” R. Gary Parker Chapman and Hall, London 1995, Hardback, 290 pages, ISBN (HB) 0-412-99681-2

[Review of Deterministic scheduling theory, by R. G. Parker]. IIE Transactions, 32(8), 767–768.

Sources: Crossref, ORCID
Added: March 5, 2022

2000 journal article

Moving beyond the parts incidence matrix: Alternative routings and operations for the cell formation problem

Journal of Engineering Valuation and Cost Analysis, 2, 327–348.

By: J. Joines, R. King & C. Culbreth

Source: NC State University Libraries
Added: November 24, 2021

2000 conference paper

Packaging Factors for Next Generation High Voltage, High Temperature Power Electrons Modules

Bowers, J. S., Hopkins, D. C., & Sarjeant, W. J. (2000, July). Presented at the High Temperature Electronics Conference, Albuquerque, New Mexico.

By: J. Bowers, D. Hopkins & W. Sarjeant

Event: High Temperature Electronics Conference at Albuquerque, New Mexico

Source: NC State University Libraries
Added: October 28, 2021

2000 journal article

Characterizing search spaces for tabu search and including adaptive memory into a genetic algorithm

Journal of the Chinese Institute of Industrial Engineers, 17(5), 527–536.

By: J. Joines n, C. Houck n & M. Kay n

Contributors: J. Joines n, C. Houck n & M. Kay n

TL;DR: By examining two problems, the location-allocation problem and the quadratic assignment problem, characteristics of successfil tabu search are illustrated and a combination of both tabuSearch and genetic algorithms is presented, where regions around genetically determined sample points are marked as tabu. (via Semantic Scholar)
Source: ORCID
Added: April 29, 2020

2000 journal article

A hybrid genetic algorithm for manufacturing cell design

Journal of the Chinese Institute of Industrial Engineers, 17(5), 549–564.

By: J. Joines n, M. Kay n, R. King n & C. Thomas Culbreth n

Contributors: J. Joines n, M. Kay n, R. King n & C. Thomas Culbreth n

UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: February 24, 2020

2000 journal article

Simulation Modeling of the textile supply chain - Part II: Results and research directions

JOURNAL OF THE TEXTILE INSTITUTE, 91(1), 51–64.

By: H. Nuttle n, R. King n, S. Fang n, . Wilson n & N. Hunter n

TL;DR: The results obtained by exercising a set of computer-simulation models of the various components of the apparel-supply complex are summarized, with the main emphasis placed on whether or not the upstream operations of spinning, fabric production, and dyeing and finishing were capable of meeting Quick Response requirements for response time and service levels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2000 journal article

Simulation Modeling of the textile supply chain - Part 1: The textile-plant models

JOURNAL OF THE TEXTILE INSTITUTE, 91(1), 35–50.

By: H. Nuttle n, R. King n, N. Hunter n, . Wilson n & S. Fang n

TL;DR: Stochastic computer models that simulate operations in the spinning, knitting, weaving, dyeing and finishing, and cut/sew sectors of the textile industry and ongoing efforts in technology transfer and in using ‘fuzzy’ mathematics to model the vagueness and uncertainty inherent in the supply- chain decision-making environment are described. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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