As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The assignment of the right fixtures to their corresponding workpieces and the determination of their stable flows is one of the important challenges for manufacturing systems. This problem has not been well addressed in the past publications. This paper aims to address this problem using an on-demand fixture assignment and control method. A decision support system (DSS) is presented so as to address this problem. This DSS integrates the case-based reasoning (CBR), rule-based reasoning (RBR) and fuzzy set theory components of an artificial intelligence (AI). Cases are represented with an object-oriented (OO) approach in order to characterize them by their feature vectors. A fuzzy weighted Euclidean distance measure is applied for case retrieval. Numerical example is also illustrated to show the applicability of the proposed DSS.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.