V. K. Manupati

Cycle Time Reduction in Deck Roller Assembly Production Unit with Value Stream Mapping Analysis

Cycle time reduction is of paramount importance in a manufacturing industry as the customer not only emphasizes on the quality of the product but also takes into consideration the timely delivery of the product. The proposed framework and the advanced methodology in this paper are capable of dealing with each stage of the considered manufacturing unit by maximizing the value of the product through reduction of cycle times and minimization of waste. The time required for all the processes in the manufacturing of the deck rollers is identified and are classified into value added (VA) and non-value added (NVA). Finally, the cycle times were reduced by applying the lean tools and principles on some managerial relevances. Also, Arena software was used to simulate the current and future value stream maps and the change in the cycle times, waiting times, machine utilization, etc. was determined.

Investigation of reconfiguration effect on makespan with social network method for flexible job shop scheduling problem

Abstract This paper presents a novel social network analysis based method (SNAM) to evaluate the reconfiguration effect i.e., identification of key machines and their influence on the system performance in the context of Flexible job shop scheduling problem (FJSSP). This research formulates a mathematical model along with the constraints by incorporating the total completion time of jobs as an objective function. The proposed SNAM has been applied to generate the collaboration networks by transforming the input data and presenting them in the form of an affiliation matrix to the network analysis software. Thereafter, to analyze the collaboration networks various SNA measures that have been calculated and different functional properties are evaluated. Finally, to investigate the reconfiguration effect on makespan integration of process planning and scheduling (IPPS) has been implemented with adopted effective game theory based hybrid deoxyribonucleic acid (DNA) algorithm. The validation of the proposed approach and its effectiveness is conducted through comparisons with benchmark instances and results confirm the efficiency of the proposed approach.

Web-based decision system for effective process planning in network manufacturing environment

Recent advancements in Information technology and pervasive applications of Web-enabled services wield a profound influence on manufacturing systems and in particular on distributed networked manufacturing environment. In this paper, a modelling schema is proposed for integrating a distributed feature-based design system to organize concurrent engineering activities effectively. Later, with developed Web based decision support tool the activities of manufacturing system are integrated. The managerial insights listed in this report, obtained from the analysis suggest that the developed methodologies and tool for networked manufacturing environment offers with a number of benefits such as high interoperability, openness, cost-efficiency, and production scalability.

Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs

Recent happenings are surrounding the manufacturing sector leading to intense progress towards the development of effective distributed collaborative manufacturing environments. This evolving collaborative manufacturing not only focuses on digitalisation of this environment but also necessitates service-dependent manufacturing system that offers an uninterrupted approach to a number of diverse, complicated, dynamic manufacturing operations management systems at a common work place (hub). This research presents a novel telefacturing based distributed manufacturing environment for recommending the manufacturing services based on the user preferences. The first step in this direction is to deploy the most advanced tools and techniques, that is, Ontology-based Protege 5.0 software for transforming the huge stored knowledge/information into XML schema of Ontology Language (OWL) documents and Integration of Process Planning and Scheduling (IPPS) for multijobs in a collaborative manufacturing system. Thereafter, we also investigate the possibilities of allocation of skilled workers to the best feasible operations sequence. In this context, a mathematical model is formulated for the considered objectives, that is, minimization of makespan and total training cost of the workers. With an evolutionary algorithm and developed heuristic algorithm, the performance of the proposed manufacturing system has been improved. Finally, to manifest the capability of the proposed approach, an illustrative example from the real-time manufacturing industry is validated for optimal service recommendation.

A multi-perspective integrated framework of critical success factors for supporting on-line shopping

E-commerce promotes economic growth by enabling online shops to compete within a global market scenario. There are critical success factors that permit to distinguish a good business on the Internet and this knowledge may allow reaching an important competitive advantage for business sustainability. As many disciplines are involved, when determining critical success factors, e-commerce requires an effective coordination and integration in a collaborative way. In e-commerce, as well as in any other ecosystem, the breaking down of some integrating elements may provoke a collapse on the whole system. The various stakeholders involved in a given business should, therefore, be involved and work together to achieve a high quality product that fully satisfies the end customers needs and wishes. To meet the above requirement, this paper proposes a multi-perspective critical success factors (MPCSF) model for online shopping.

A Text Mining Based Supervised Learning Algorithm for Classification of Manufacturing Suppliers

With the expeditious growth of unstructured massive data on the World Wide Web (WWW), more advanced tools, techniques, methods, and approaches for information organization and retrieval are desired. Text mining is one such approach to achieve the above mentioned demand. One of the main text mining applications is how to classify data presented by different industries into groups. In this paper, the classification of data into various groups based on the choice of the users at any given point of time is proposed. Here, a support vector machine (SVM) based classification algorithm is established to classify the text data into two broad categories of Manufacturing and Non-Manufacturing suppliers. Later, the performance of the proposed classifier was tested experimentally using most commonly used accuracy measures such as precision, recall, and F-measure. Results proved the efficiency of the proposed approach for classification of the texts.

Workload Assessment for a Sustainable Manufacturing Paradigm Using Social Network Analysis Method

In this paper, focus is on the sustainable manufacturing systems functionalities, i.e., process planning and scheduling for effective and efficient performance of the system to achieve the desired objectives. The desired objectives for this research work have been considered according to the above-mentioned situation. Hence, makespan, throughput time, and energy consumption were identified as the most appropriate performance measures in line with the context of the problem. Mathematical model will be formulated for the performance measures by considering the realistic constraints. Unpredictable events such as machine breakdown or scheduled maintenance are most common in any manufacturing unit. Workload assignment with these disruptions is a challenge, and therefore, a new methodology has been developed for effective and efficient solutions. In this paper, a new social network analysis-based method is being proposed to identify the key machines that should not be disturbed due to its contribution toward achieving the best system’s performance. Moreover, an illustrative example along with three different configurations will be presented to demonstrate the feasibility of the proposed approach. For execution, a Flexsim-based simulation approach will be followed, and with different instances, the proposed methodology can be executed. The validation of the proposed approach and its effectiveness will be evaluated through comparison with different instances, and finally the efficiency of the proposed approach will be confirmed with the results.

Web-Based Decision System for Distributed Process Planning in a Networked Manufacturing Environment

Distributed manufacturing sector is increasingly enabling the Web-enabled services due to the advancements in Information technology and pervasive applications of recently advanced manufacturing systems. In this paper, world wide web (WWW) collaborative model is developed, and architecture with the web enabled service system for effective integration of distributed process planning and scheduling is proposed to assists the geographically distributed enterprises located in the context of networked manufacturing for effective coordination and collaboration. To validate the feasibility of the proposed approach, a case study has been presented and found that the proposed method and developed tool offers some benefits such as high interoperability, openness, cost-efficiency, and production scalability.

Investigation of Copper and Zinc Contamination on the Work Piece Surface with WEDM

This work presents an investigation on Wire Electric Discharge Machining (WEDM) of Pure Titanium (Grade-2). Pure Titanium and its alloys are the most suitable metallic materials for biomedical applications. In health care, they are used for implant devices like knee and hip implants, fixing materials for bones like nails and screws, and in the oral and maxillofacial surgery. Properties like good biocompatibility, high corrosion resistance, and high fracture strength make titanium parts the perfect solution for bio-implants. The more frequent use of the titanium necessitates an economical machining process. Conventional processes like milling, grinding or drilling have their limits because of the material’s mechanical properties which cause high tool wear. WEDM proves to be an alternative especially for manufacturing complex parts as there is no actual contact with tool and the work piece. Within this study, the capabilities of Wire-EDM for the manufacturing of clean surfaces with distinct Surface Roughness (SR) and Machining Speed (MS) are conducted through optimization of process parameters. Taguchi technique is used for optimization and the experiments are conducted according to Taguchi Design of Experiments (DOE). Different wire electrode materials have been used considering a possible copper and zinc contamination on the work piece surface.

Impact of UTAUT Predictors on the Intention and Usage of Electronic Health Records and Telemedicine from the Perspective of Clinical Staffs

Technology adoption play significant role for good healthcare services. It is very important to understand and identify the requirements and perceptions of hospital employees for the implementation of technology in their work place. This study determines the impact of performance expectancy, effort expectancy and social influence on behavioural intention as well as the impact of facilitating conditions on technical/clinical staff’s perspective. The structured questionnaire is administered to 770 clinical staffs on the usage of telemedicine and electronic health records in hospitals. A valid sample of 568 was returned back for further analysis. Regression analysis using AMOS 20 is performed to examine the effect of the constructs. Findings revealed that performance expectancy, effort expectancy, and social influence have a significant impact on behavioural intention and facilitating condition also significantly impacts behavioural intention which in turn impacts usage behaviour of electronic health records and telemedicine. The limitations and future research are suggested and delineated.