Scheduling ocean transportation of crude oil

Article Abstract:

An elastic set partitioning model is used to solve a crude oil tanker scheduling problem being handled by a major oil firm. All fleet cost components are considered in application of the model, including ship time opportunity expense, canal and port fees, and demurrage and bunker legs. Which cargos to loan on controlled vessels and which to spot charter are also evaluated. All feasible schedules are created, their costs calculated, and the best schedule set is selected. Less than a minute is required to obtain optimal integer solutions to set partitioning problems with thousands of binary variables.

Models, Planning, Transportation, Petroleum, Shipping industry, Set theory, Petroleum transportation

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Scheduling the General Job-Shop

Article Abstract:

A family of algorithms is described for finding optimum schedules for job-shops. The algorithms are of a branch and bound type but have a complete schedule associated with each node of the search tree. Branching from nodes is based on important conflicts in the schedule. Some results are provided. (Reprinted by Permission of Publisher.)

Algorithms, Manufacturing, Algorithm, Production, Optimization, Scheduling

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