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Title: Operator scheduling at the Advanced Light Source

Abstract

Scheduling Operations staff at the Advanced Light Source (ALS) has evolved from 5 shifts/week for commissioning operations in 1992 to the present 24 hour/day, 21 shift coverage as the ALS went to full operation for users. A number of schedules were developed and implemented in an effort to accommodate changing ALS shift coverage requirements. The present work schedule and the lessons learned, address a number of issues that are useful to any facility that is operating 24 hours/day, 7 days/week.

Authors:
Publication Date:
Research Org.:
Lawrence Berkeley National Lab.,, Advanced Light Source Div., Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Research, Washington, DC (United States)
OSTI Identifier:
291153
Report Number(s):
LBNL-41927
ON: DE98058258; TRN: AHC29901%%360
DOE Contract Number:
AC03-76SF00098
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: Jun 1998
Country of Publication:
United States
Language:
English
Subject:
99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; ADVANCED LIGHT SOURCE; PERSONNEL MANAGEMENT; SCHEDULES; WORKING DAYS; COMMUNICATIONS

Citation Formats

Miller, B. Operator scheduling at the Advanced Light Source. United States: N. p., 1998. Web. doi:10.2172/291153.
Miller, B. Operator scheduling at the Advanced Light Source. United States. doi:10.2172/291153.
Miller, B. Mon . "Operator scheduling at the Advanced Light Source". United States. doi:10.2172/291153. https://www.osti.gov/servlets/purl/291153.
@article{osti_291153,
title = {Operator scheduling at the Advanced Light Source},
author = {Miller, B.},
abstractNote = {Scheduling Operations staff at the Advanced Light Source (ALS) has evolved from 5 shifts/week for commissioning operations in 1992 to the present 24 hour/day, 21 shift coverage as the ALS went to full operation for users. A number of schedules were developed and implemented in an effort to accommodate changing ALS shift coverage requirements. The present work schedule and the lessons learned, address a number of issues that are useful to any facility that is operating 24 hours/day, 7 days/week.},
doi = {10.2172/291153},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 1998},
month = {Mon Jun 01 00:00:00 EDT 1998}
}

Technical Report:

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  • No abstract prepared.
  • America`s brightest light comes from the Advanced Light Source (ALS), a national facility for scientific research, product development, and manufacturing. Completed in 1993, the ALS produces light in the ultraviolet and x-ray regions of the spectrum. Its extreme brightness provides opportunities for scientific and technical progress not possible anywhere else. Technology is poised on the brink of a major revolution - one in which vital machine components and industrial processes will be drastically miniaturized. Industrialized nations are vying for leadership in this revolution - and the huge economic rewards the leaders will reap.
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  • A discounted-cost, continuous-time, infinite-horizon version of a flexible manufacturing and operator scheduling model is solved. The solution procedure is to convexify the discrete operator-assignment constraints to obtain a linear program, and then to regain the discreteness and obtain an approximate manufacturing schedule by deconvexification of the solution of the linear program over time. The strong features of the model are the accommodation of linear inequality relations among the manufacturing activities and the discrete manufacturing scheduling, whereas the weak features are intra-period relaxation of inventory availability constraints, and the absence of inventory costs, setup times, and setup charges.
  • A flexible manufacturing and operator scheduling problem is introduced and solved. The principle concern is with scheduling operators over time to various activities of a manufacturing system with the purpose of optimizing some steady state criterion. In mathematical terms the problems is modeled as a deterministic, mixed integer, infinite horizon dynamic program. Our solution procedure is first to convexify the problem, then to apply linear programming, and finally to deconvexify the solution over time to arrive at an optimal solution. Apparent loss in object value due to the deconvexifications is circumvented with buffer inventories. The procedure can be reduced tomore » solving a sequence of linear programs and the complexity is stated in these terms.« less