Energy consumption monitoring for the order fulfilment in a ubiquitous manufacturing environment

The objective of this study is to monitor manufacturing energy consumption (MEC) in a discrete manufacturing enterprise, where energy is consumed everywhere and anytime with creating ubiquitous MEC data. The ubiquitous manufacturing (UbiM) technology, including radio frequency identification (RFID) technique, is employed to automate real-time data acquisition and processing for an order fulfilment. An MEC model for the order fulfilment is constructed according to the bill of materials (BOM). In this model, the computation is triggered by an RFID read event (RRE) enabling a digital energy metre to acquire energy consumption value of a workstation for processing a certain material, and then the acquired value is assigned to an energy consumption event (ECE). To reflect the effect of an ECE on energy consumption of a production task, a station-material energy consumption matrix (smECM) is constructed to store the relevant event data, which plays a key role in alleviating MEC monitoring restrictions caused by big energy data. By operating the matrix, the MEC monitoring information can be effectively extracted. To assist manufacturing enterprises to better employ it, the proposed method was demonstrated by monitoring MEC of an order in an auto-part manufacturer.

[1]  Eric W.T. Ngai,et al.  Implementing an RFID-based manufacturing process management system: Lessons learned and success factors , 2012 .

[2]  Ray Y. Zhong,et al.  RFID-enabled real-time manufacturing execution system for mass-customization production , 2013 .

[3]  Renzhong Tang,et al.  Estimating machining-related energy consumption of parts at the design phase based on feature technology , 2015 .

[4]  Bo Wu,et al.  Energy information integration based on EMS in paper mill , 2012 .

[5]  Rajiv Padhye,et al.  RFID in textile and clothing manufacturing: technology and challenges , 2015, Fashion and Textiles.

[6]  Athulan Vijayaraghavan,et al.  Automated energy monitoring of machine tools , 2010 .

[7]  Yi Huang,et al.  Reactive, model-based monitoring in RFID-enabled manufacturing , 2011, Comput. Ind..

[8]  Tang Ren-zhon Logistics status analysis of work-in-process in the workshop based on RFID technology , 2014 .

[9]  Alojzij Sluga,et al.  A conceptual framework for a ubiquitous autonomous work system in the Engineer-To-Order environment , 2015 .

[10]  Sangkee Min,et al.  Development of an energy consumption monitoring procedure for machine tools , 2012 .

[11]  Garret E. O’Donnell,et al.  Implementation of Energy Metering Systems in Complex Manufacturing Facilities–A Case Study in a Biomedical Facility , 2012 .

[12]  Shun Jia,et al.  Evaluation on models of calculating energy consumption in metal cutting processes: a case of external turning process , 2016 .

[13]  Angappa Gunasekaran,et al.  The impact of big data on world-class sustainable manufacturing , 2015, The International Journal of Advanced Manufacturing Technology.

[14]  Fei Tao,et al.  CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System , 2014, IEEE Transactions on Industrial Informatics.

[15]  Fei Tao,et al.  Big Data in product lifecycle management , 2015, The International Journal of Advanced Manufacturing Technology.

[16]  Aie,et al.  Tracking Industrial Energy Efficiency and CO2 Emissions , 2007 .

[17]  Sumeet Gupta,et al.  Intelligent Industrial Data Acquisition and Energy Monitoring using Wireless Sensor Networks , 2010, Int. J. Grid High Perform. Comput..

[18]  Giuliano Bissacco,et al.  Real time power consumption monitoring for energy efficiency analysis in micro EDM milling , 2015 .

[19]  Angappa Gunasekaran,et al.  Energy sustainability in operations: an optimization study , 2016 .

[20]  Hendrik Van Landeghem,et al.  Evaluating the performance of a discrete manufacturing process using RFID: A case study , 2013 .

[21]  Fei Tao,et al.  Internet of Things in product life-cycle energy management , 2016, J. Ind. Inf. Integr..

[22]  Fei Tao,et al.  Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products , 2014, IEEE Transactions on Industrial Informatics.

[23]  H. Stockman,et al.  Communication by Means of Reflected Power , 1948, Proceedings of the IRE.

[24]  Ali Vatankhah Barenji,et al.  A multi-agent RFID-enabled distributed control system for a flexible manufacturing shop , 2014 .

[25]  Andrew Y. C. Nee,et al.  A hybrid group leader algorithm for green material selection with energy consideration in product design , 2016 .

[26]  George Q. Huang,et al.  Wireless manufacturing: a literature review, recent developments, and case studies , 2009 .

[27]  Ruey-Shun Chen,et al.  An RFID-based enterprise application integration framework for real-time management of dynamic manufacturing processes , 2010 .

[28]  Yan He,et al.  An on-line approach for energy efficiency monitoring of machine tools , 2012 .

[29]  Mika Liukkonen,et al.  Toward decentralized intelligence in manufacturing: recent trends in automatic identification of things , 2016 .

[30]  Fei Tao,et al.  IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing , 2014, IEEE Transactions on Industrial Informatics.

[31]  Vytautas Jurenas,et al.  Self-powering wireless devices for cloud manufacturing applications , 2016 .