6533b838fe1ef96bd12a3a9d

RESEARCH PRODUCT

Stochastic Scheduling of Production Orders Under Uncertainty

Iwona LapunkaIwona PiszPiotr Wittbrodt

subject

Mathematical optimization021103 operations researchJob shop schedulingComputer science0211 other engineering and technologiesScheduling (production processes)0102 computer and information sciences02 engineering and technology01 natural sciences010201 computation theory & mathematicsCost curveProduction orderCompletion timeBatch productionNetwork model

description

This paper attempts to solve the problem of searching minimum production order completion time variants by means of stochastic logical structures with all cost curve descent points and corresponding minimum-cost schedules. The analysis presented in this paper considers scheduling of unique and small batch production, predominantly to order, which accounts for changing requirements of the customer, the complexity and long production process makespan including its technical preparation. Scheduling of production order was performed by means of GAN networks and employed the concept of soft relations. The cost/time relation analysis is based on two-node network models using the cost curve. A new approach to scheduling under uncertainty is proposed and discussed. The problem is illustrated with an example.

yearjournalcountryeditionlanguage
2017-08-23
https://doi.org/10.1007/978-3-319-67180-2_34