Production planning for biomaterial manufacturing systems
Abstract
This dissertation focuses on production/operation control and planning in biomaterial manufacturing systems (BMS). This research studies the characterisctics of BMS, and develops a dynamic production planning system to reduce its operation cost. BMS is a multi-stage, multi-line and multi-product system, which has uncertainty in market demands and uncertain raw material supplies. First, a hybrid push/pull production framework is developed, which will combine the advantages of vertical hybrid push/pull and horizontal hybrid push/pull production systems. In the framework, the push and the pull production stage is connected by a junction point. A hierarchical production planning model is proposed to determine the production quantity for the push stage. At the higher level planning, a two-stage stochastic linear programming model is formulated to determine the production quantity by capturing the uncertainty in market demand in order to minimize the expected operation costs and the solutions for both discrete and continuous cases are discussed. At the lower level planning, a linear programming model is adapted to handle the uncertainty of raw material supplies and provide detailed planning. Two raw material input models are developed based on deterministic and stochastic cases. Experimental results are presented to illustrate the feasibility and effectiveness of the proposed production planning method.
Degree
Ph.D.
Advisors
Yih, Purdue University.
Subject Area
Industrial engineering
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