The problem of scheduling operations in a manufacturing facility that
produces large assemblies is considered. Given the due dates of the en
d items, the objective is to determine a schedule that minimizes the c
umulative production lead time. The lot sizes of the end items are con
sidered known and 'just-in-time' (JIT) production is assumed. The sche
duling problem within such an environment has been formulated and is N
P-hard. Its similarities to and differences from the well studied reso
urce-constrained project scheduling problem have been established. An
efficient heuristic is developed that uses the precedence network of o
perations to prioritize execution of those operations that belong to a
dynamically computed critical path. The effectiveness of the proposed
heuristic is assessed in terms of cumulative lead-time and work-in-pr
ocess inventory (WIP) costs.