Decision Sciences Journal 30(3) Index


Decision Sciences Journal
Volume 30, Number 3
Summer 1999

 

Replanning the Master Production Schedule for a Capacity-Constrained Job Shop

Kum Khiong Yang
Department of Decision Sciences, Faculty of Business Administration, National
University of Singapore, Kent Ridge, Singapore 119260, email: fbaykk@nus.edu.sg

F. Robert Jacobs
Operations and Decision Technology, Kelley School of Business, Indiana University, Bloomington, IN 47405, email: jacobs@indiana.edu

ABSTRACT. This research examines the use of both frozen and replanning intervals for planning the master production schedule (MPS) for a capacity-constrained job shop. The results show that forecast error, demand lumpiness, setup time, planned lead time, and order size have a greater impact on the mean total backlog, total inventory, and number of setups than the frozen and replanning intervals. The study also shows that a repetitive lot dispatching rule reduces the importance of lot sizing, and a combination of repetitive lot dispatching rule and single-period order size consistently produces the lowest mean total backlog and total inventory. The results also indicate that rescheduling the open orders every period produces a lower mean total backlog and total inventory when the forecast errors are large relative to the order sizes. This result suggests that the due date of an open order should be updated only when a significant portion of the order is actually needed on the new due date.

Subject Areas: Job Shop Scheduling, Master Production Scheduling, Repetitive Manufacturing, and Simulation.

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