Decision-making of feature operation chain considering processing requirements and manufacturing stability

Abstract

Existing decision-making methods for selection of feature operation chains normally only consider the processing requirements and neglect the impacts of the selected feature operation chain on the production line of the enterprise. As a result, the newly inserted manufacturing task may lead to a decrease in the manufacturing stability, which increases the malfunction probability of some machines and reduces production efficiency simultaneously. To solve this problem, a decision-making method for feature operation chain selection considering processing requirements and manufacturing stability is presented. The proposed method explores the factors affecting selection of a feature operation chain and develops a fuzzy comprehensive evaluation model of feature operation chain selection using hole feature as an example, thus realizing the selection of possible feature operation chains based on processing requirements. The method further applies a complex network theory to build an enterprise manufacturing network model, analyzes the manufacturing network stability, and then evaluates potential feature operation chains using a network stability index. Experimental results show that the proposed method is feasible and effective.

Model and Resilience Analysis for Handling Chain Systems in Container Ports

“…Gabbar (2008) [17] proposed a model-based control mechanism and intelligent control layer to control the operation of chained production enterprises. Li et al (2016) [18] developed a fuzzy comprehensive evaluation model of feature operation chain selection to realize the selection of possible feature operation chains based on processing requirements. Virginia Spiegler and Mohamed Naim (2017) [19] utilized a nonlinear production and inventory control model to provide insight into the impact of system constraints and therefore facilitated a more effective system design.…”