An Efficeint Operations Management Strategy using Fuzzy Logic Decision Making Based Shop Floor Control Technique

In any organization, shop floor control seems to be a vital and pivotal activity and effective shop floor control paves the way for cent percet production. Effective utilization of resources, proper production planning and successful maintainence would always pave the way for high productivity which in turn fulfils the commitment to meet out the delivery schedule for custoemers. Hence it is understood that continous and consistent shop floor management demands a serious focus that contributes for sound operations management. More developments have taken place in the recent decade in framing new methodologies and adopting new advanced techniques to control the shop floor acivities of an organization. The purposes of our paper is to bring out a new model for shop floor control using Fuzzy Logic Decision Taking technique to help the operations professionals to enable them for successful professional decision making in shop floor control. Multi Criteria Decision Making (MCDM) Techniques have witnessed tremendous application in operations management. Our paper has successfully attempted to apply Fuzzy Logic Decision Making Technique which is one among the various MCDM tools . The technique considers many factors like Production, Wastages, Breakdown or Idle Time etc and these factors are treated as criteria and upon using the tool, the Management Information System(MIS) resports generated after mathermatical manipulation using Fuzzy Logic seems to be much usedful for corporate decision making

An Internet of Things-Based Monitoring System for Shop-Floor Control

With the advent of the fourth industrial revolution (Industry 4.0), manufacturing systems are transformed into digital ecosystems. In this transformation, the internet of things (IoT) and other emerging technologies pose a major role. To shift manufacturing companies toward IoT, smart sensor systems are required to connect their resources into the digital world. To address this issue, the proposed work presents a monitoring system for shop-floor control following the IoT paradigm. The proposed monitoring system consists of a data acquisition device (DAQ) capable of capturing quickly and efficiently the data from the machine tools, and transmits these data to a cloud gateway via a wireless sensor topology. The monitored data are transferred to a cloud server for further processing and visualization. The data transmission is performed in two levels, i.e., locally in the shop-floor using a star wireless sensor network (WSN) topology with a microcomputer gateway and from the microcomputer to Cloud using Internet protocols. The developed system follows the loT paradigm in terms of connecting the physical with the cyber world and offering integration capabilities with existing industrial systems. In addition, the open platform communication—unified architecture (OPC-UA) standard is employed to support the connectivity of the proposed monitoring system with other IT tools in an enterprise. The proposed monitoring system is validated in a laboratory as well as in machining and mold-making small and medium-sized enterprises (SMEs).