Optimal End-of-Life Management in Closed-Loop Supply Chains Using RFID and Sensors

Wireless communication and monitoring devices, namely, radio frequency identification (RFID) tags and sensors, capture and store dynamic life-cycle information during the economic life of the products. RFID tags deliver this information to a computer system when the products are returned to disassembly centers in a closed loop supply chain (CLSC) system. By means of this technology, content of each product and component conditions are known without disassembly and inspection. Life cycle information also makes it possible to estimate the remaining life of the components and enables the fulfillment of remaining lifetime-based demands. This paper presents an Advanced Repair-to-Order and Disassembly-to-Order (ARTODTO) model. ARTODTO model deals with the products that are embedded with sensors and RFID tags. The goal of the proposed model is to determine how to process each and every end-of-life product (EOLP) on hand to meet used product and component demands as well as recycled material demand. The model considers disassembly, repair, and recycling options for each EOLP in order to satisfy material and remaining-life-time-based (sophisticated) component/product demands and minimize the total cost. Outside component procurement option is also assumed to be available.

[1]  Ki-Tae Kim,et al.  Remaining life prediction methods using operating data and knowledge on mechanisms , 1999 .

[2]  Eric W. T. Ngai,et al.  Managing RFID projects in organizations , 2009, Eur. J. Inf. Syst..

[3]  A.G. Kulkarni,et al.  Networked RFID systems in product recovery management , 2005, Proceedings of the 2005 IEEE International Symposium on Electronics and the Environment, 2005..

[4]  Stephen J. Engel,et al.  Prognostics, the real issues involved with predicting life remaining , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[5]  D. C. Twist,et al.  The impact of radio frequency identification on supply chain facilities , 2005 .

[6]  Rebecca Angeles,et al.  Rfid Technologies: Supply-Chain Applications and Implementation Issues , 2004, Inf. Syst. Manag..

[7]  László Monostori,et al.  A survey of applications and requirements of unique identification systems and RFID techniques , 2011, Comput. Ind..

[8]  Azad M. Madni,et al.  Guest Editorial RFID Technology: Opportunities and Challenges , 2007, IEEE Syst. J..

[9]  Alfred J.D. Lambert,et al.  Demand-driven disassembly optimization for electronic products , 2002 .

[10]  Ting Qu,et al.  RFID-enabled gateway product service system for collaborative manufacturing alliances , 2011 .

[11]  Surendra M. Gupta,et al.  Product Life Cycle Monitoring via Embedded Sensors , 2007 .

[12]  Conrad Luttropp,et al.  Improved recycling with life cycle information tagged to the product , 2010 .

[13]  Eric W.T. Ngai RFID technology and applications in production and supply chain management , 2010 .

[14]  Marc Salomon,et al.  Strategic Issues in Product Recovery Management , 1995 .

[15]  Dimitris Kiritsis,et al.  RFID Technology and Applications: Closing product information loops with product-embedded information devices: RFID technology and applications, models and metrics , 2008 .

[16]  M. Hagberg Editorial , 2004 .

[17]  Surendra M. Gupta,et al.  Using Neural Networks to Solve a Disassembly-to-Order Problem , 2009 .

[18]  Basheer M. Khumawala,et al.  Enhancing Product Recovery Value in Closed-Loop Supply Chains with RFID , 2007 .

[19]  Sami Kara,et al.  An integrated methodology for assessing physical and technological life of products for reuse , 2009 .

[20]  Jing Shi,et al.  Localisation of stationary objects using passive RFID technology , 2009, Int. J. Comput. Integr. Manuf..

[21]  Keith W. Hipel,et al.  Guest Editorial , 2003, IEEE Trans. Syst. Man Cybern. Part C.

[22]  Surendra M. Gupta,et al.  COST-BENEFIT ANALYSIS OF SENSOR-EMBEDDED PRODUCTS BASED DISASSEMBLY- TO- ORDER SYSTEM , 2009 .

[23]  E. Kongar,et al.  A multiple objective tabu search approach for end-of-life product disassembly , 2009, Int. J. Adv. Oper. Manag..

[24]  Ian M. Langella Heuristics for demand-driven disassembly planning , 2007, Comput. Oper. Res..

[25]  Stéphane Dauzère-Pérès,et al.  A literature review on the impact of RFID technologies on supply chain management , 2010 .

[26]  C.S. Byington,et al.  Data-driven neural network methodology to remaining life predictions for aircraft actuator components , 2004, 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).

[27]  R. Schiffer,et al.  INTRODUCTION , 1988, Neurology.

[28]  Surendra M. Gupta,et al.  End-of-Life Decisions Using Product Life Cycle Information , 2008 .

[29]  Markus Klausner,et al.  Sensor-based data recording for recycling: A low-cost technology for embedded product self-identification and status reporting , 2000 .

[30]  Surendra M. Gupta,et al.  PREEMPTIVE GOAL PROGRAMMING FOR SOLVING THE MULTI-CRITERIA DISASSEMBLY-TO-ORDER PROBLEM UNDER STOCHASTIC YIELDS, LIMITED SUPPLY, AND QUANTITY DISCOUNT , 2013 .

[31]  Eddy Bajic,et al.  RFID in operations and supply chain management: research and applications , 2008 .

[32]  Roy Want RFID Explained:A Primer on Radio Frequency Identification Technologies , 2006 .

[33]  H. Kaebernick,et al.  Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks , 2007 .

[34]  Surendra M. Gupta,et al.  Performance improvement potential of sensor embedded products in environmental supply chains , 2011 .

[35]  Surendra M. Gupta,et al.  Solving the disassembly-to-order problem using linear physical programming , 2009, Int. J. Math. Oper. Res..

[36]  Surendra M. Gupta,et al.  Comparison of economic benefits of sensor embedded products and conventional products in a multi-product disassembly line , 2010, Comput. Ind. Eng..

[37]  Branko Tadic,et al.  Machining fixture assembly/disassembly in RFID environment , 2011 .

[38]  Samir K. Srivastava,et al.  Green Supply-Chain Management: A State-of-the-Art Literature Review , 2007 .

[39]  Victor R. Prybutok,et al.  Consumer Acceptance of RFID Technology: An Exploratory Study , 2008, IEEE Transactions on Engineering Management.

[40]  Marlin H. Mickle,et al.  Guest Editorial Special Section on RFID , 2009, IEEE Trans Autom. Sci. Eng..

[41]  Jan Holmström,et al.  Intelligent Products: A survey , 2009, Comput. Ind..

[42]  Seng Kwong Chong,et al.  Intelligent products: From lifecycle data acquisition to enabling product-related services , 2009, Comput. Ind..

[43]  Mehmet Ali Ilgin,et al.  Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. , 2010, Journal of environmental management.

[44]  Surendra M. Gupta,et al.  Linear physical programming for solving the multi-criteria disassembly-to-order problem under stochastic yields, limited supply, and quantity discount , 2010 .

[45]  Ieee Xplore,et al.  IEEE Transactions on Industrial Informatics , 2005 .

[46]  Gq Huang,et al.  International Journal of Computer Integrated Manufacturing: Editorial , 2009 .

[47]  Duncan McFarlane,et al.  RFID-based product information in end-of-life decision making , 2007 .

[48]  M. Klausner,et al.  Sensor-based data recording of use conditions for product takeback , 1998, Proceedings of the 1998 IEEE International Symposium on Electronics and the Environment. ISEE - 1998 (Cat. No.98CH36145).

[49]  Askiner Gungor,et al.  Issues in environmentally conscious manufacturing and product recovery: a survey , 1999 .

[50]  Dimitris Kiritsis,et al.  Modelling for product information tracking and feedback via wireless technology in closed-loop supply chains , 2009, Int. J. Comput. Integr. Manuf..

[51]  Alexandre Dolgui,et al.  RFID TECHNOLOGY IN SUPPLY CHAIN MANAGEMENT: STATE OF THE ART AND PERSPECTIVES , 2008 .

[52]  Karen Ka-Leung Moon,et al.  RFID research: An academic literature review (1995–2005) and future research directions , 2008 .

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

[54]  Venkata Krishna Gonnuru Radio-frequency identification (RFID) integrated fuzzy based disassembly planning and sequencing for end-of-life products , 2010 .

[55]  W. Wang,et al.  An asset residual life prediction model based on expert judgments , 2008, Eur. J. Oper. Res..

[56]  Seungjin Whang,et al.  Radiofrequency Identification Applications in Private and Public Sector Operations: Introduction to the Special Issue , 2009 .

[57]  Eric W.T. Ngai,et al.  RFID: Technology, applications, and impact on business operations , 2008 .

[58]  Surendra M. Gupta,et al.  Disassembly to order system under uncertainty , 2006 .

[59]  Karl Inderfurth,et al.  Heuristics for solving disassemble-to-order problems with stochastic yields , 2006, OR Spectr..

[60]  Surendra M. Gupta,et al.  Strategic Planning Models for Reverse and Closed-Loop Supply Chains , 2008 .

[61]  Myounghoon Jeon,et al.  Guest Editors’ Introduction , 2014, PRESENCE: Teleoperators and Virtual Environments.

[62]  Akshay Mutha,et al.  Perspectives in reverse logistics : A review , 2009 .

[63]  Surendra M. Gupta,et al.  A MULTI-CRITERIA DECISION MAKING APPROACH FOR DISASSEMBLY-TO-ORDER SYSTEMS , 2002 .

[64]  H. Kaebernick,et al.  Determining the Reuse Potential of Components Based on Life Cycle Data , 2005 .

[65]  Paul Xirouchakis,et al.  Tracking and tracing product lifecycle data in a closed-loop PLM , 2007 .