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In the present competitive business environment, a more customer driven approach to production
scheduling is required. The criteria considered for production scheduling objectives are generally derived
from some desired production performance factors of a manufacturing system. Generally, the customers’
orders are categorized as either normal or prioritized based on the delivery requirements. The production
is planned against customers’ orders, keeping in mind the customers’ priorities. The problem of scheduling
a given set of machines in a single-stage, multi-item compatible environment, with the objective of
maximizing capacity utilization has been formulated (Bokkasam, 2016) as a maximal flow problem in a
Multiple Arc Network (MAN). The model provides optimal production schedule with an objective of
maximizing capacity utilization, so that the customer-wise delivery schedules are fulfilled, keeping in view
the priorities of the customers. The results of a working implementation of the MAN model using excel
solver are presented in this paper. The same has been validated with results obtained using two examples.
In future the managers will be able to use the worksheet for obtaining the results immediately, for scaledup scenarios.
Dr. IBRAHIM ABDULLAH ALJASSER, Dr. BOKKASAM SASIDHAR. (2018) Scheduling in A Single-Stage, Multi-Item Compatible Process Using Multiple ARC Network Model and Excel Solver, International Review of Management and Business Research, Volume 7, Issue 1.
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