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Engineering and manufacturing industries

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Abstracts » Engineering and manufacturing industries

Industrial job-shop scheduling with random operations and different priorities

Article Abstract:

Two heuristic methods are used to solve a classical job-shop scheduling problem involving a specific number of jobs and machines. The first heuristic uses delivery performance values and priority indices while the second heuristic examines confidence possibilities and does not consider priority indices. Both methods are applied to the solution of an example problem. Results indicate that the first heuristic is more reliable than the second one.

Author: Golenko-Ginzburg, Dimitri, Kesler, Shmuel, Landsman, Zinoviy
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1995
Usage, Heuristic programming

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A heuristic for network project scheduling with random activity durations depending on the resource allocation

Article Abstract:

A heuristic was formulated to address a problem related to resource-constrained network project scheduling. The heuristic takes into consideration a PERT-type project in which activities need various type of activities with varying capacities. It entails the use of a lookover algorithm to accurately addressed a resource project scheduling model which is classified as an NP-complete knapsack resource reallocation problem.

Author: Golenko-Ginzburg, Dimitri, Gonik, Aharon
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1998
Research and Development in the Physical, Engineering, and Life Sciences, Mathematics, Research, Analysis, Resource allocation, Heuristic, Heuristics (Psychology)

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Designing customer oriented production planning system (COPPS)

Article Abstract:

A new production planning and scheduling system called COPPS (customer oriented production planning system) is presented. The model describes an initial production schedule which features forecasted demand and related variables in production capacity. The system can easily respond to customer inquiries due to an on-line production schedule that is easily accessible to both sales and production departments.

Author: Tamura, Takayoshi, Fujita, Seiichi
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1995
Production planning

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Subjects list: Models, Scheduling (Management)
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