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Process planning for assembly requires a computerized representation and analysis of assembled products. In order to recommend a good sequence of assembly operations, the process planner needs to generate all such feasible sequences. This paper presents a methodology to consistently generate all feasible asssembly sequences with consideration for the various combinations of subassembly operations. The methodology is demonstrated on a real product. A practical method to reduce the number of feasible combinations generated is also demonstrated.

SUMMARY The part-period balancing lot-sizing algorithm is modified to use fuzzy data for the single-stage lot-sizing problem. Triangular fuzzy numbers are used to represent uncertainty in the master production schedule. This paper shows that uncertain demand can be easily incorporated into the part-period balancing lot-sizing algorithm and that a fuzzy master production schedule can be used to determine production lot sizes. A detailed example is presented to illustrate the technique.