Object unified identifier method in logistics resource integration

Zhu, Huiqi; Hou, Hanping Article Object unified identifier method in logistics resource integration Journal of Industrial Engineering and Management (JIEM) Provided in Cooperation with: The School of Industrial, Aerospace and Audiovisual Engineering of Terrassa (ESEIAAT), Universitat Politècnica de Catalunya (UPC) Suggested Citation: Zhu, Huiqi; Hou, Hanping (2015) : Object unified identifier method in logistics resource integration, Journal of Industrial Engineering and Management (JIEM), ISSN 2013-0953, OmniaScience, Barcelona, Vol. 8, Iss. 1, pp. 184-202, https://doi.org/10.3926/jiem.1357 This Version is available at: https://hdl.handle.net/10419/188677 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. 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If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by-nc/3.0/ Journal of Industrial Engineering and Management JIEM, 2015 – 8(1): 184-202 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423 http://dx.doi.org/10.3926/jiem.1357 Object Unified Identifier Method in Logistics Resource Integration Huiqi Zhu, Hanping Hou Beijing Jiaotong University (China) zhuhuiqi0505 @ 126 .com, houhanping @ 126.com Received: December 2014 Accepted: February 2015 Abstract: Purpose: The status which many programs for the object identifier are not incompatible with each other has become a bottleneck for integrating logistics resources. Scholars have done some relevant studies in terms of coding and conversion mechanisms, but the problem still has not got a better solution. The purpose of this study is to research how to make the object identifier programs compatible. Design/methodology/approach: Author proposed an object unified identifier (OUID) method based on OID and introduced the standard identification code in it, according to the problems of the object identifier in logistics resource integration. And the paper further designed the acquisition process of the resource basic information and location information, and analyzed the application environment of object unified identifier based on OID. Findings: OUID made up for the lack of location information in conversion mechanism, and avoided to promote new unified identifier standards at the same time. The supplement of the application environment provided an important support to solve the problems of poor communication caused by non-unified object identifier in the process of logistics resource integration. Originality/value: Using this method, each identification system not only can keep its own territory, but also can compatible with other object identifiers. Keywords: logistics resource integration; object identifier; object unified identifier -184- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 1. Introduction In recent years, Internet of things (IoT) and other IT technologies enable logistics resources to connect with the Internet through information devices, which let the logistics resources have the connectivity, visibility and virtuality and give the resources ideas. It is helpful to realize intelligent identification and management and provides a new way of thinking for the logistics resource integration. But the inconsistent resource identifier, the equipment that access information relied on belonging to different organizations, greatly reduced the effectiveness and accuracy of the logistics resource search (Yu &Yu, 2013), and restricted the improvement of logistics resource integration. Especially the heterogeneity and high dispersion of data sources under the Internet of things (Hribernik, Kramer, Hans & Thoben, 2010), made uniquely identifying and positioning logistics resource more difficult. When enterprises intended to complete cross-domain integration of logistics resources, they felt that it was difficult to manage and operate information in a unified way in network. Such as manufacturing enterprises used the bar-code to identify the products or pallets, but when the products or pallets got into the logistics field, logistics enterprises didn’t use the identifier continuously, and adopt their own identifiers and the rules. This phenomenon led to the same resource having different identifiers in different logistics information systems, caused the inconsistency of object identifiers, and made resource information scattered and logistics resources operating uncoordinated. Thus, an object unified identifier (OUID) becomes the key issue in integrating logistics resources. Pålsson and Johansson (2009) found that the unified identifier of goods had positive impact on supply chain integration through researching Swedish manufacturing companies. This study made people realized important role of the unique identifier for integration. If all the logistics resources have the unified identifiers, it will easy to ensure the reliability, security, interoperability of the resource information in the logistics process (Ilie-Zudor, Kemény, van Blommestein, Monostori & van der Meulen, 2011), and to support the dynamic integration and seamless links of logistics resources (Prajogo & Olhager, 2012; Romano, 2003). There are several different programs for the object identifier according to the applications, CASAGRAS report (2010) analyzed the world’s major object identifier systems in detail, but it had not yet been expounded how to form a unified identifier program. Due to the existence of a large number of heterogeneous history data, promoting the application of unified identifier standard was impractical. Therefore, the research emphasis of the object identifier should be placed in the global unified compatible identifier system (CERP-IoT, 2009). Current unified identifier schemes are mainly focus on the information coding and addressing. In terms of coding, the researchers placed extra emphasis on compiling new code (Yang, 2013). Some of them (Yang, 2013; Sun, Zhang, Qin, Tu, Wang & Wu, 2013) added the location information into the new code to meet the IoT demand for it. However, it was not benefit to achieve unification, because new code would aggravate the heterogeneous status of identifiers. In the IoT addressing, research mainly focused on the new IoT networking architecture (Karakostas, 2013; Liu, Yan, -185- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 Tian, Kong, Li & Yan, 2014) or conversion mechanism (Kong, 2008; Pang, 2012; Jung, Choi, Lee & Kim, 2012) in order to find the existing information in network. Some scholars discussed the problem from the perspective of computer languages. For example, Martinez-Julia and Skarmeta (2013) believed that the future Internet was a mobile, host-free node model with the possibility of multiple attachment points to the network, and needed flexible naming and integrated discovery mechanisms. They tried to decouple the identification and location (Spleiß & Kunzmann, 2011) to adapt to the trend of dynamic networks. But scholars in the field of USN thought IP addresses were too long to fit on small embedded devices. These studies provided the new perspective for the unified object identifier, but it was difficult to be realized because of lower operability. Therefore, according to the standardized method, firstly, this study applied conversion thought to research how to make the existing object identifier unified using the OID standard, and at the same time ensured that no new coding standard was generated. Secondly, relying on the Internet discovery mechanism, compatible and operable network architecture was proposed which can achieve the unifying of the object identifier. 2. Object Identifier Basic Philosophy in Logistics Resource Integration The identifier mentioned in this article referred to the sign or symbol that showed the properties of an object in the form of a physical or electronic data. If the resources have the identifiers, logistics bodies can identify them, and then unique find the related information in network. This was also the main task of the object identifiers undertook in the process of logistics resource integration. Logistics resources mainly referred to the infrastructure and ancillary equipment that scattered in various functional resources for completing the logistics missions, for instance, shelves, trays, transport vehicles, positioning equipment, goods, etc. 2.1. Object Identifier Operation Conceptual Model The operating process of the object identifier was described by a conceptual model in this section, as shown in Figure 1. It contained four parts, such as coding, labeling, identifying, and decoding. Figure 1. Object Identifier Operation Conceptual Model (Zhang, 2012) -186- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 When the logistics resource information needed to be collected automatically, first of all, it should be coded and then formed codes that could be identified by a computer. Encoding process of the codes needed to follow certain standards, and requiring the code could indicate only one object. After generating the code, it must be combined with the resource, otherwise, it was a meaningless symbol. The purpose of the labeling was to link the resources with the codes that had been written, and formed the resources unified identifiers. When logistics resources participated in the social and economic activities, people could only clear the state of the logistics resources by identifying the identifiers in order to provide assistance for controlling, managing and making integrated decision. To improve the utilization rate of resources, enterprises needed to timely understand itself and resources state in society. For this reason, they required identified the resources. There were lots of technologies to identify the identifiers, and all of them were to obtain the loaded codes in the identifiers to receive the resource information. Decoding was the process of restoring the resource information that included the encapsulation, unpacking, resolving, etc., which was mainly completed by computers. It should be noted that decoding might not be completed in the network because of the non-unified object identifier of the logistics resources. This was also the core problem that was solved in this study. 2.2. Problems of the Object Identifier From the object identifier operation conceptual model, you can see that the main role of the object identifier is to let the logistics resources be connected with network so that logistics bodies can control and manage the resources through the internet. But the status of the numerous objects identification technologies led that identifier could only be identified within the scope of its corresponding system. This made realizing the above function having difficulties, and some problems had been reflected as follows, 1. There was large difference of coding standards, so the expression of the same information faced the problem of choosing different standards. For example, Ucode and mRFID Code both have a 128-bit long code, but they have different structures. EPC has various classes of codes, such as EPC-64, EPC-256, and so on. And each category can be further subdivided. Therefore, coding standards difference caused the coding inconsistent phenomenon in the expression of resource information. 2. Each standard was applicable to a limited extent. As in the application of RFID technology, ISO 17363 and ISO 17364 were the coding standards of logistics containers, and ISO 15961 was for objects that were identified by RFID. In addition, in the EPCglobal standards system belonged to GS1 also had standards for objects or logistics units. Thus, the standards were only applicable to a limited extent. -187- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 3. The same resource information obtained through different collection means, and stored in databases of different bodies. Some information could be traced and inquired in local area by technologies such as EPC, but most information was also still in the vertical closed-loop applications system and couldn’t communicate with each other. Lead to resource information was scattered and not manageable. 2.3. The Demand for OUID The problems existing in the object identifier mentioned above was manifested mainly in field of logistics. Especially, when the enterprise needed a lot of accurate and timely cross-domain resource information (including resources basic information and location information) to integrate the logistics resources, low search success rate and accuracy problems of logistics resources became more prominent brought with non-unified object identifier. Logistics section of supply chain operation reference model (SCOR) reflected the application status of the objects identification technology in the logistics resources. Analyzing the SCOR 10.0 can also get the logistics resource information that need collected in the logistics process (as shown in Table 1). This information was the basis of integrating logistics resources. From the Table 1, we saw that a lot of identification technologies could be adopted by logistics resource information. Some resource information, such as transportation route, vehicle information, temporary location, didn’t need be labeled on the resource, but they need be found by the identifiers. When the process of integration need them, they could not be received because the different identifiers used by different nodal enterprises. The phenomenon that the information was scattered in different database of the nodal enterprises was very obvious. So, in order to improve the efficiency of the logistics resources integration, the unified object identifiers was an essential ring. Moreover, non-unified identifiers issue had caused the attention of society. The national development and reform commission set up the national IoT based standard working group (NBSWG) in November 2010, National IoT coding identification project team (NCIPT) was one of the three groups which made up of the NBSWG. NCIPT’s the key mission was to solved the problems of logistics resource information expression caused by chaotic application environment of object identifiers. To reduce the impact on logistics resource integration, this paper will perfect the object identifier from the following aspects. -188- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 Logistics links Process code Process name Resource Information to be collected The main identification technology Source (sS1.2/sS2.2/sS3.4)/ (sS1.3/sS2.3/sS3.5)/ (sS1.4/sS2.4/sS3.6) Receive, verify, transfer product Product information (name, specification, quality, quantity) Enterprise information (vendor name) Transportation Information (vehicle information) Storage Information (the shelves number information) Bar-code, RFID, Enterprise independent coding techniques Make sM1.3/sM2.3/sM3.4 Produce and Test Product information (machining process, quality, package, test) Storage Information (temporary location) Bar-code, RFID, Enterprise independent coding techniques sM1.4/sM2.4/sM3.5 Package sM1.5/sM2.5/sM3.6 Stage Product sM1.6/sM2.6/sM3.7 Release Finished Product to Deliver Deliver sD1.8/sD2.8/sD3.8 Receive Product from Source or Make Product information (name, specification, quantity) Enterprise information (enterprise name and address) Transportation Information (logistics service providers, vehicle information, container information, transportation route) Storage Information (inflow record and outflow record, the shelves number information) Bar-code, RFID, GPS, Enterprise independent coding techniques, Sensor technology sD1.9/sD2.9/sD3.9 Pick Product sD1.10/sD2.10/sD3.10 Pack Product sD1.11/sD2.11/sD3.11 Load Vehicle & Generate Shipping Docs sD1.12/sD2.12/sD3.12 Ship Product sD1.13/sD2.13/sD3.13 Receive and Verify Product by Customer Return sDR1.3/sDR1.4/sSR1.5 Receive/transfer/r eturn Defective Product (includes verify) Product information (name, specification, quantity) Transportation Information (Logistics service providers, vehicle information, return and exchange goods transportation route) Bar-code, RFID, GPS, Enterprise independent coding techniques sDR2.3/sDR2.4/sSR2.5 Receive/Transfer / return MRO Product (includes verify) sDR3.3/sDR3.4/sSR3.5 Receive/Transfer / return Excess Product Table 1. Sub-processes of Using Identification Technology in SCOR10.0 Model (1) Unique. The object identifier must be unique in the world, and it can be the temporary identifier of resource (Spleiß & Kunzmann, 2011). (2) Compatibility. Under the premise of unchanging existed identifier standard, it can achieve finding and transforming among the various object identifier information. (3) Scalability. When new requirements or new coding scheme emerged, object identifier can add fields to express meaning accordingly. (4) Manageability. Allow administrators to control data administrator, to realize the traceability of logistics information, classifying information, monitoring and management information, dynamic routing forwarding, etc. -189- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 3. Method of Logistics Resource Integration OUID Almost all standardization organization declared its standardization structure can be compatible with other standards, but different standard compatible problems remain existed. Analyzing the reasons that the heterogeneity problems of object identifier weren’t solved nicely, we can find the following arguments. Firstly, a large number of heterogeneous and valuable historical data existed in network and enterprise database with the development of identification technologies. Secondly, internet information addressing mechanism did not adapt to the development of the IoT. Lastly, organizational interests hindered the unified of identifier. So promoting and applying the unified identifier standards was unrealistic, we needed to discuss the OUID method on the basis of unchanging the existed standards. 3.1. Problem Description Logistics resource integration can achieve intelligent identification of resource, and knowing the location of logistics resources through the object identification technology under the IoT environment. But the current logistics system was designed based on internet host information discovery mechanism, so logistics resource unified identifier shouldn’t be separated from internet application condition. Therefore, Logistics resources OUID should meet the requirements of the internet, and at the same time adapt to the rapid development of IoT. Then there would be considered the internet reality condition and physical location information. The following assumptions have been proposed. (1) OUID mainly used the existing severs, and relied on internet information discovery mechanism. (2) Logistics resources integration required the identification information included the resource basic information and location information. Resource basic information referred to the information that could reflect the nature of resources mostly and had the characteristics of shared demands across business systems. Location information referred to the physical location of logistics resources. (3) Have designed specialized hardware devices which could input the entity encoding information into tags and computers. (4) Logistics bodies generally accepted and applied the scheme of unified identifier. Under the above assumptions, there will be help to realize the integration of logistics resources through perfecting the unified identifiers. -190- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 3.2. The Selection of the OUID Method Compared coding structures of EPC, UID, MCODE, and CPC, which have been widely applied (as shown in Table 2), we can find that existing standard coding structure generally was consisted of organization or enterprise code information, coding structure information, and object categories information. Although some of the resource information has already been contained in object identifier, more detailed information which will be available by further addressing, such as product quality, logistics service providers, inflow and outflow record, the shelves number information, still stored in the relevant enterprises databases or organizations databases. In terms of location information, the physical location information of resources was commonly out of the coding structure scope. Although location codes can be accomplished by the EPC and UID (as shown in Table 2), these location codes cannot be directly associated with encoded resources. Analysis also found that almost all of the identifier codes had the hierarchical structure, but it could not be directly identified from the codes. When the different identifier codes appeared, people had no way to know the expressed information of the codes, and that which identification standard system the codes belonged to. Therefore, EPC, UID, MCODE, CPC were all not suitable as a unified method. Compared with the above four kinds of coding structure, Ecode achieved compatibility among the codes mainly by the way of distributing header on the basis of keeping the original coding structure. It was much more to provide compatible coding solutions. This study did not choose Ecode as the method of unified identifiers, because it was developed by our own country and its universality in the international arena was lower, furthermore, its coding structure was fixed that was not conducive to extend the resource information. Identification standards program Country, Organization or company code Coding structure Object category Object description Whether having the location code or not Identifier standards code EPC a    UID     CPC     MCODE    ECODE       a  represents the information contained Table 2. Comparison Table of Objects Code and Structure The OID was an identification system defined by ISO/IEC 8824 and ISO/IEC 9834 series standards. Using the OID code as prefix for all kinds of object identifier code, which will ease incompatible problem of identifier codes, can realize be compatible with object identifiers supported by any standard and the resolving of object identifier coding structure. Especially -191- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 2. Acquisition of dynamic location information. The resolving process of OUID based on OID remained the same as the process of resource basic information, and then OID resolution server sent OUID to the specific information server. When specific information server had the resource position record, it returned IP of new location to OID resolution server. OID resolution server sent OUID to new location server, and then got new location information. OID resolution sever didn’t send OUID to new location servers until there were not position record that hasn’t been accessed. Finally, the OID resolution server returned logistics resource location information to the local server, and completed the task of location information query. From query process of the resource basic information and location information, OUID and IRL can realize the compatible query of logistics resource information on the base of without changing the existing object identifier rules. 4.3. Application Scenarios (1) The application of two-dimensional bar-code When company needed to know the delivery information, it can scan the two dimensional barcode to get goods order information, vendor information, product information, etc. However, because of many different kinds of two dimensional bar-code, when mobile phone read twodimensional bar-code, some two-dimensional bar-code information can be obtained only through installing enterprise designated APP on mobile phone. Otherwise, the phone just gets a string of unrecognizable characters. OUID application environment based on OID can be a good solution to this problem. Figure 7. Process of Two Dimensional Bar-code Information Query Using Mobile Phone When mobile phone read 2-d bar-code, OUID within the bar-code was sent to IRL. Servers of IRL identified the corresponding standard of two dimensional bar-code according to the OID standard identification code. Following that, IRL found the information in accordance with -198- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 information flow mentioned above. At last, using the result of resolution found corresponding logistics resource information database to get the logistics resource information required. (2) The application of RFID Figure 8. Process of RFID Information Query When an enterprise wanted to collect the information about the pallets, such as location information of the pallet, vendor information, storage information, etc., it can use the RFID tags on pallets. Firstly, RFID read-write devices collected OUID within the target scope. Then, they sent OUID to IRL. Because of the strong liquidity of pallets, many servers may have their location information records. So IRL got pallet location information from many specific information servers, besides the pallet basic information. After IRL servers returned the whole pallet information to query terminal, the query task was completed. From the analysis of application scenarios as you can see, the main function of OUID was to make logistics resource identification information be identified easily by IRL. IRL mainly provided the path for searching information of different object identifier. -199- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 5. Conclusion To ease the influence of non-unified object identifier on logistics resource integration, this study designed the OUID method, and analyzed the OUID application environment by using the computer technologies and standardized method. Specific measures were as follows. (1) Introduce the standard identification code. In order not to change the existing identifier standards, the standard identification code was introduced in object identifier with the help of OID standard. Let object identifier have the OUID structure based on OID. The structure can guarantee object identifier unique in the world, realize compatible query and transformation among multiple object identifiers, and both adapt to the current technology development environment and meet the needs of the logistics resources integration. (2) Construct identifier resolution layer (IRL). The current network structure can't resolve the OUID based on OID, so IRL formed by DNS, OID resolution servers and other servers of standards organizations used to finish resolving OID so as to help address information. This network structure allowed administrators to control data administrator, to realize the traceability of logistics information, classifying information, monitoring and management information, dynamic routing forwarding, etc. On the basis of OUID and IRL, object identifier can confirm logistics resource type, quantity, function, capability and feasible mode of transportation among the various facilities in a certain space through resource static and dynamic location information, except for resource basic information. Moreover, application scenarios of two dimensional bar-code and RFID were list to illustrate the application of OUID method, in order to guide the promotion of OUID. Overall, OUID proposed both reflected the conversion thought and considered the reality of the Internet information discovery mechanisms. It made up for the lack of location information in conversion mechanism, and avoided to promote new unified identifier standards at the same time. The supplement of the application environment provided an important support to solve the problems of poor communication caused by non-unified object identifier in the process of logistics resource integration. In addition, this paper also had some shortage. For instance, the demand for logistics resource integration OUID was still insufficient in the aspect of data. Therefore, the future research will focus on the above aspect, in order to improve this study. Acknowledgements This study was financially supported by the State Key Program of National Natural Science Foundation of China (Grant No. 71132008). -200- Journal of Industrial Engineering and Management – http://dx.doi.org/10.3926/jiem.1357 References CASAGRS. (2010). RFID and the inclusive model for the internet of things. Available at: http://www.grifs-project.eu/data/File/CASAGRAS%20FinalReport%20(2).pdf CERP-IoT. (2009). Internet of things strategic research roadmap. 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Intelligent Computer and Applications, 3(2), 25-31. Zhang, D. (2012). Internet of things and Object identification system. Internet of things technologies, 2(3), 1-4. Journal of Industrial Engineering and Management, 2015 (www.jiem.org) Article's contents are provided on a Attribution-Non Commercial 3.0 Creative commons license. Readers are allowed to copy, distribute and communicate article's contents, provided the author's and Journal of Industrial Engineering and Management's names are included. It must not be used for commercial purposes. To see the complete license contents, please visit http://creativecommons.org/licenses/by-nc/3.0/. -202-