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On the optimal safe allocation and scheduling of a work force in a toxic substance environment

An approach using linear programming to model and to solve the problem of safe allocation and scheduling of a manufacturing work force in a toxic substance environment is presented. The firm's objective is to maximize utilization of the work force, without violating any OSHA (US Occupational Sa...

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Published in:IEEE transactions on engineering management 1990-05, Vol.37 (2), p.95-101
Main Authors: Villeda, R., Dean, B.V.
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Language:English
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cited_by cdi_FETCH-LOGICAL-c348t-c89e25353ce1c9d4e50ae192f16a40ef322bb21b651a8c0d02a0afc9dffbaec53
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description An approach using linear programming to model and to solve the problem of safe allocation and scheduling of a manufacturing work force in a toxic substance environment is presented. The firm's objective is to maximize utilization of the work force, without violating any OSHA (US Occupational Safety and Health Administration) standards. The basic assumption is that engineering controls are either not practical or too costly, and that only managerial controls, in this case the reduction of minimization of exposure time, is possible. A variety of operational situation are analyzed to illustrate the use of the modeling approach, the use of a standard user-friendly package, and sample results. The illustrative examples demonstrate the feasibility of modifying standard work scheduling models to include toxic substance control constraints so as to yield optimal safe policies for the given case.< >
doi_str_mv 10.1109/17.53711
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identifier ISSN: 0018-9391
ispartof IEEE transactions on engineering management, 1990-05, Vol.37 (2), p.95-101
issn 0018-9391
1558-0040
language eng
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source IEEE Electronic Library (IEL) Journals
subjects Allocations
Applied sciences
Atmospheric pollution
Business
Costs
Employment
Environmental management
Exact sciences and technology
Hazardous materials
Indoor pollution and occupational exposure
Job shop scheduling
Linear programming
Manufacturing
Manufacturing industries
Manufacturing processes
Mathematical models
Occupational safety
Operations research
Pollution
Production
Risk management
Safety management
Scheduling
Work environment
Workforce
title On the optimal safe allocation and scheduling of a work force in a toxic substance environment
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