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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 |
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container_title | IEEE transactions on engineering management |
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creator | Villeda, R. Dean, B.V. |
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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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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