Concurrently part-machine groups formation with important production data

Abstract

This work presents an algorithm for design of cellular manufacturing system. It considers sequence of operation for every component as ordinal level data. The ratio level data includes operation time per unit, production volume and machine capacity. A matrix model is developed to incorporate ordinal level data and ratio level data. Model is then standardized. From this, Part -Part correlation model is formed. This is undergone through principle component analysis. Now, Feature-Vector and New Standardized Sequence Part Load matrices are formed. These are used for grouping purpose. Part-machine orthographic view is used for concurrent part-machine family formation. Performance of algorithm is comparable and of good quality with existing methods in its class. To facilitate industrial application, it can be implemented by using free software, Scilab and/or commercial softwares.

A model and optimisation approach for reconfigurable manufacturing system configuration design

“…Zuming et al (2008) presented a review on the reconfigurable manufacturing system. Lokesh and Jain (2009, 2010b and Lee (1997) advocated the need for reconfigurability consideration in the design of products and manufacturing systems. In the special issue on reconfigurable manufacturing system, Defersha and Chen (2009) presented a model of reconfigurable cellular manufacturing system design.…”

“…MFBS (p, t, s 1 , s 2 ) ¼ 1, if MFBS (p, t, s 1 ) must be performed before MFBS (p, t, s 2 ) and will be assigned to the same or preceding stage s 2 . (c) Proximity and separation constraints (Lokesh and Jain 2010a, 2010b, Sana et al 2006 (I) Separation constraints separates a pair of SFBs due to inability to activate some tools in the same stage.…”

Customizing Products through Application of Group Technology: A Case Study of Furniture Manufacturing

“…• web enabled product configuration tool, so that customers can configure its products in the meaning of choosing the material, customizing design and choosing special features, • implementation of ERP and PDM/PLM systems for an easier understanding of customer needs, product and process data management, information sharing and collaboration, analyses and corrective measures [27], • the development of software solution for part groups creation and scheduling in a customized production environment, • RFID part tagging, so that every part can be tracked throughout its "life" in a shop floor, and in the warehouse, • different manufacturing process execution scenarios simulation [29] and [30], for the prediction of possible problems and the evaluation of solutions, • integration of previously mentioned tools and systems through heavy use of XML data representation, a similar solution can be found in the work of Šormaz et al [28].…”

Cell Formation Heuristic Procedure Considering Production Data

“…Work by Yin and Yasuda, (2005), Chu and Tsai, (1990), Shafer and Meredith, (1990), and Miltenburg and Zhang, (1991) may be referred for the comparative study of various CF techniques. The thrust of most CF techniques is to arrange binary part machine incidence (PMI) matrix in such a fashion that maximum possible 1s and minimum possible 0s are arranged inside diagonal blocks (Lokesh and Jain, 2010). Table 1 presents the literature studies related to cell formation.…”