Event-driven graphical representative schema for job-shop-type material flows and data computing usingautomatic identification of radio frequency identification tags

Abstract

In order to track material flow in job shops more accurately and effectively, this paper presents an ‘event-triggering time-state’ graphical schema-based operation model for describing and formalizing material flow. At the same time, the operation model is associated with valid radio frequency identification (RFID) tags. Then judgement rules are proposed for identifying and picking out valid ones from all found RFID tags. In this way, material flow can be tracked effectively and in real time through use of the multi-view technique. Finally, a case is studied for demonstrating the feasibility and availability of the proposed model and method.

Keywords

radio frequency identification automatic identification operation model material flow

References

Günther

Kletti

Kubach

RFID in manufacturing, 2008 (Springer, Berlin).

Zuehlke

SmartFactory – towards a factory-of-things. Annu. Rev. Contr., 2010, 34(1), 129–138.

Qiu

R.-G.

RFID-enabled automation in support of factory integration. Robot. Comput. Integrated Mfg, 2007, 23(6), 677–683.

Heese

H. S.

Inventory record inaccuracy, double marginalization, and RFID adoption. Prod. Oper. Mgmt, 2007, 16(5), 542–553.

Angeles

Rfid technologies: supply-chain applications and implementation issues. Inform. Syst. Mgmt, 2005, 22(1), 51–65.

Jansen

M. B.

Eradus

Future developments on devices for animal radiofrequency identification. Comput. Electron. Agric, 1999, 24(1–2), 109–117.

Tsuji

Kouno

Noguchi

Iguchi

Misu

Kawamura

Asset management solution based on RFID. NEC J. Adv. Technol., 2004, 1(3), 188–193.

Huang

G. Q.

Wright

P. K.

Newman

S. T.

Wireless manufacturing: a literature review, recent developments, and case studies. Int. J. Comput. Integrated Mfg, 2009, 22(7), 1–16.

Udoka

S. J.

Automated data capture techniques – a prerequisite for effective integrated manufacturing systems. Comput. Ind. Engng, 1991, 21(1–4), 217–221.

10.

Udoka

S. J.

The role of automatic identification (Auto ID) in the computer integrated manufacturing (CIM) architecture. Comput. Ind. Engng, 1992, 23(1–4), 1–5.

11.

Brewer

Sloan

Landers

T. L.

Intelligent tracking in manufacturing. J. Intell. Mfg, 1999, 10(3–4), 245–250.

12.

Johnson

RFID tags improve tracking, quality on Ford line in Mexico. Contr. Engng, 2002, 49(11), 16

13.

Z. K.

Gadh

Prabhu

B. S.

Applications of RFID technology and smart parts in manufacturing. In Proceedings of DETC'04: ASME 2004 Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 28 September–2 October 2004, Salt Lake City, Utah, USA, pp. 123–129.

14.

Huang

G. Q.

Zhang

Y. F.

Jiang

P. Y.

RFID-based wireless manufacturing for real-time management of job shop WIP inventories. Int. J. Adv. Mfg Technol., 2008, 36(7–8), 752–764.

15.

Huang

G. Q.

Zhang

Y. F.

Jiang

P. Y.

RFID-based wireless manufacturing for walking-worker assembly islands with fixed-position layouts. Robot. Comput. Integrated Mfg, 2007, 23(4), 469–477.

16.

Huang

G. Q.

Zhang

Y. F.

Chen

Newman

S. T.

RFID-enabled real-time wireless manufacturing for adaptive assembly planning and controls. J. Intell. Mfg, 2008, 19(6), 701–713.

17.

Brusey

McFarlane

D. C.

Effective RFID-based object tracking for manufacturing. Int. J. Comput. Integrated Mfg, 2009, 22(7), 638–647.

18.

B. H.

Bateman

R. J.

Cheng

RFID enabled manufacturing: fundamentals, methodology and applications. Int. J. Agile Syst. Mgmt, 2006, 1(1), 73–92.

19.

Jun

H. B.

Shin

J. H.

Kim

Y. S.

Kiritsis

Xirouchakis

A framework for RFID applications in product lifecycle management. Int. J. Comput. Integrated Mfg, 2009, 22(7), 595–615.

20.

Brintrup

Ranasinghe

McFarlane

D. C.

RFID opportunity analysis for leaner manufacturing. Int. J. Prod. Res., 2010, 48(9), 2745–2764.

21.

J. P. T.

Lee

J.-S.

Liu

C.-J.

Simic

Directional discrimination in radio frequency identification system for materials flow control in manufacturing and supply chain. Proc. IMechE, Part B: J. Engineering Manufacture, 2009, 223(7), 875–883.

22.

Chang

S.-Y.

D.-C.

Chen

D.-C.

Using an electronic product code network to improve monitoring systems for continuous operating equipment – a thermal power plant example. Proc. IMechE Part B: J. Engineering Manufacture, 2010, 224(9), 1437–1445.

23.

Jamshidi

Kayani

Iravani

Maropoulos

P. G.

Summers

M. D.

Manufacturing and assembly automation by integrated metrology systems for aircraft wing fabrication. Proc. IMechE, Part B: J. Engineering Manufacture, 2010, 224(1), 25–36.

24.

Shahanaghi

Yolmeh

A. M.

Bahalke

Scheduling and balancing assembly lines with the task deterioration effect. Proc. IMechE, Part B: J. Engineering Manufacture, 2010, 224(7), 1145–1153.

25.

Jeang

Tsai

C.-C.

Chung

C.-P.

Scheme for real-time process planning under process deterioration. Proc. IMechE, Part B: J. Engineering Manufacture, 2009, 223(9), 1181–1192.

26.

Zhou

M.-C.

Venkatesh

Modeling, simulation, and control of flexible manufacturing systems: A Petri net approach, 1999 (World Scientific Publishing Co. Pte. Ltd, Singapore).

27.

Zhou

M.-C.

DiCesare

Desrochers

A. A.

A hybrid methodology for synthesis of Petri net models for manufacturing systems. IEEE Trans. Robot. Autom., 1992, 8(3), 350–361.

28.

Rosell

Assembly and task planning using Petri nets: a survey. Proc. IMechE, Part B: J. Engineering Manufacture, 2004, 218(8), 987–994.

29.

Tornberg

Jämsen

Paranko

Activity-based costing and process modeling for cost-conscious product design: a case study in a manufacturing company. Int. J. Prod. Econ., 2002, 79(1), 75–82.

30.

Bastos

Dubugras

Ruiz

Extending UML activity diagram for workflow modeling in production systems. In Proceedings of the 35th Annual Hawaii International Conference on System sciences (HICSS’02), 07–10 January 2002, vol. 9, pp. 291–300, Big Island, Hawaii, USA.

31.

Chan

F.-T.-S.

Zhang

Modelling of integrated, distributed and cooperative process planning system using an agent-based approach. Proc. IMechE Part B: J. Engineering Manufacture, 2001, 215(10), 1437–1451.

32.

Shen

Hao

Yoon

H. J.

Norrie

D. H.

Applications of agent-based systems in intelligent manufacturing: an updated review. Adv. Engng Informat., 2006, 20(4), 415–431.

33.

Chen

R.-S.

Development of an agent-based system for manufacturing control and coordination with ontology and RFID technology. Expert Syst. Applic., 2009, 36(4), 7581–7593.

34.

Masciari

RFID data management for effective objects tracking. Proceedings of the 2007 ACM Symposium on Applied Computing, 11–15 March 2007, pp. 457–461, New York, USA.

35.

Kim

Geographical location based RFID tracking system. Proceedings of the International Symposium on a World of Wireless, 23–26 June 2008, pp. 1–3, Newport Beach, Canada.

36.

Hahnel

Burgard

Fox

Fishkin

Philipose

Mapping and localization with RFID technology. Proceedings of the IEEE International Conference on Robotics and Automation, 26 April–1 May 2004, pp. 1015–1020, Barcelona, Spain.

37.

Pupunwiwat

Stantic

Location filtering and duplication elimination for RFID data streams. Int. J. Princ. Applic. Inform. Sci. Technol., 2007, 1(1), 29–43.

38.

Y.-J.

Piramuthu

Reducing false reads in RFID-embedded supply chains. J. Theor. Appl. Electron. Comm. Res., 2008, 3(2), 60–70.

39.

Bai

Y.-J.

Wang

F.-S.

Liu

P.-Y.

Efficiently filtering RFID data streams. In Proceedings of International VLDB Workshop on Clean Databases, June 2006, Seoul, Korea.

40.

Chen

Establishing the optimal and efficient capacity re-allocation plans for enhancing the long-term competitiveness of a semiconductor product – a long-term trend viewpoint. Proc. IMechE, Part B: J. Engineering Manufacture, 2010, 224(8), 1295–1303.

41.

Kim

S.-I.

Choi

H.-S.

Lee

D.-H.

Scheduling algorithms for parallel machines with sequence-dependent set-up and distinct ready times: minimizing total tardiness. Proc. IMechE, Part B: J. Engineering Manufacture, 2007, 221(6), 1087–1096.