A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry
Abstract
:1. Introduction
2. Related Works
2.1. Coordinated Supply-Chain Management in the LNG Industry
2.2. Tracking Technologies
3. Research Methods
3.1. First Focus Group Study
3.2. Second Focus Group Study
4. Framework of a Coordinated Approach for Supply-Chain Tracking in LNG Construction
4.1. Supply-Chain Tracking for the Management of General Materials
4.2. Supply-Chain Tracking for the Management of Project-Specific Materials
4.3. Supply-Chain Control Platform
5. Experiments and Results
5.1. Experiment One: Offsite Fabrication Tracking
5.1.1. Experiment Design
5.1.2. Barcoding Technology Implementation
5.1.3. Location Tracking
5.1.4. Results for Experiment One
5.1.5. Discussions for Experiment One Compared with more Conventional Methods (Periodic Reports Driven and Weekly Basis), Three Benefits of the Proposed Barcoding System were Identified and Quantified
- Cost avoidance of lost/missing piece-mark reconciliation: According to the historical data of Fremantle Steel Group, 1% of piece-marks were lost/misplaced during the whole fabrication process. For this pilot project, there were nearly 28,000 pieces, which means 280 pieces of them would have been lost without barcoding. Considering each piece would cost $150 to reconcile/find, a total of $42,000 would be saved. This did not include the emergency fabrication costs of lost pieces, which would cost a minimum of $1000 per piece. If considering the technology adoption cost, such as: Barcode printing cost ($0.01 × 28,000 = $280), mobile readers ($200 × 6 = 1200), software cost ($11.95/month/user × 6 × 6 = $430), and training cost ($100/h × 8 = $800), the total net saving could be $39,290.
- Time and cost savings for checking fabrication progress: A clerk position could be eliminated that previously input progress data from weekly field reports into a planning system (a conventional approach). It could save about $60,000 annually. To quantify the time savings, the research team selected a welding process as an example and calculated the time of generating a progress report, which indicated the number of welds produced per welder by type and X-ray percentage. The time spent compiling this information was reduced from 3 h to an average of 20 min.
- More detailed progress data for decision-making. The frequency of progress tracking with barcoding was nearly in real-time, which enabled the shop manager to identify progress delays and bottlenecks faster. Therefore, with the help of the proposed barcoding system, it was easy to answer questions, like: Which piece-marks need to be pre-assembled together? Where is each individual piece-mark? Which one is behind schedule, and when will that one arrive? They require more time to be solved through reviewing periodic reports.
- Barcode scanners need a direct line of sight to the barcode. Scanners can easily find the right barcodes to be scanned before the pre-assembly stage. However, during the stages of pre-assembly and delivering to site, the efficiency of scanning actions declines because scanners need to spend most of the time identifying the target barcode from massive intrusive options. One of the site managers in Fremantle Steel Group suggested that the barcodes could be designed in different colors or sizes so that workers could recognize them quickly and easily;
- barcodes are more easily damaged because they are exposed on the outside of the steel product. If a barcode is ripped or damaged, there is no way to scan and update the statuses of the product. To minimize this complication, the longstanding barcodes, such as SBs and PBs, it is suggested that they are printed with a plastic protective layer; and
- barcode management is a challenging process. Five different types of barcodes were developed for this experiment based on the requirement of fabrication tracking. It was effortless to design and print these barcodes with the help of a computer. However, it was difficult to ensure the actions of attaching and removing barcodes were correct because of human errors. In order to eliminate the error-prone tasks, basic training for site workers is necessary. In addition, a guideline for barcode management is also needed. For example, for each type of steel components (i.e., column, beam and pipe spool), the best positions for barcodes’ attachment should be defined.
5.2. Experiment Two: Site Logistics Tracking
5.2.1. Experiment Design
5.2.2. RFID Technology Implementation
5.2.3. Location Tracking
5.2.4. Results for Experiment Two
5.2.5. Discussions for Experiment Two
- The GPS and passive RFID system are conventional yet reliable approaches for tracking long-range transportation and assisting field personnel in searching and identifying objects of interest during the entire site logistics processes. The experiment showed promising results in tracing the goods flow and speeding up the materials search times. However, the performance of the tracking varied depending on different human involvement and familiarity of the technologies adopted;
- The active RFID system can be implemented as an efficient tracking approach for certain non-line-of-sight activities at the site, such as having a global view of whether the demanded certain resources or personnel are in position at the correct place and correct time. Considering the scale of the LNG plant construction, the error tolerance in acquiring such positioning information is acceptable for the discontinuous positions’ checking and management purposes. The positioning accuracy can even be improved by the reference tag approach and controlled within 3 m. However, for the detailed movements’ monitoring of resources and helping search for the demanded resource at the site, the tracking approaches still need further investigations, as long as the further efforts in improving tracking results of the dynamic objects can be engaged to control the localization errors within reasonable ranges. Further studies regarding accuracy improvement of the active RFID system in the simulated LNG construction site can be referenced in [52];
- these results conducted in the material search test may present a certain degree of bias attributable to a number of reasons. Firstly, the scale of the laydown area in practice is much higher than the tested one, which could amplify the uncertainties of searching target items. Secondly, there are biases among participants’ skills in searching materials. Although participants were randomly selected, there is a chance of uneven prior knowledge or learning ability. Finally, the accuracy of the paper-based instructions, as the conventional approach, has also a significant impact on the material search. Poor-quality instructions will result in a longer time. In general, the authors argue that some biases may be presented, however, the results still can validate the benefits of the proposed approach in the comparison with the conventional one. The generality of the tests exists given that the simulated site is exactly “a real process plant” following all the operation and intrinsically-safe regulations for training purposes. The arrangements and layouts of all components follow the designs in practice, however, they would be more complex when the plant construction is in processing with more dynamic interference taking place; and
- the integration of the proposed tracking approaches is feasible to establish a total site logistics management mechanism of a technical perspective. However, supply-chain experts also raised concerns as to whether there are further demands in identifying the adoptions impacts, working processes’ changes, human error influences, or cost-effective integrations. Essentially, the cultural changes and standardization in the LNG industry need further engagement as well to provide an appropriate opportunity for its adoption.
6. Conclusions
- The proposed coordinated approach has been validated as a feasible solution and suggestion for decision makers in tracking various tasks in LNG modular construction. It further helps to increase the visibility of the total supply chain for complicated and large-scale projects, allowing transparency to be gained for government and community supervisions as well;
- the two field experiments demonstrated the feasibility of the combination of the barcode, RFID, and GPS for total supply chain tracking in the LNG industry. Despite the increase of the cost to purchase and install the tracking infrastructure, it is relativity insensitive in affecting overall cost, but saving more wastes according to the feedback from industrial partners;
- the experiment conducted in the off-site factory suggests several tangible benefits: $42,000 would be saved for lost/missing piece-mark reconciliation in the pilot project; $60,000 would be saved annually due to the reduction of a clerk position; and time spent in welding progress tracking could be reduced from 3 h to an average of 20 min. Further benefits are expected for a wide range of adoptions in different off-site factory scenarios; and
- based on the observations of the site logistic experiment, the search range of material has been narrowed down through active RFID used in cooperation with scanners through to passive RFID. Compared with conventional approaches in material searching, the proposed tracking solution was two times faster than those using passive RFID with paper-based instructions, and four times faster than those using instructions only. The benefit can be amplified with the increasing scale of the material searching area in practical LNG projects.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Stages | Detailed Processes | Factors | Feasibility of the Alternative Tracking Solutions | Suggested Tracking Solutions * | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
No. | Name | (1) Types of the Objects to be Tracked * | (2) Indoor or Outdoor | (3) Line of Sight Required | (4) Location Required | (5) Tags Removal * | (a) Barcode | (b) Passive RFID | (c) Active RFID | (d) GPS | ||
Offsite fabrication | 1 | Shop Detailing | Drawings | Indoor | Yes | No | No | √ | √ | × | × | (a) |
2 | Programming & Processing | Drawings * | Indoor | Yes | No | No | √ | √ | × | × | (a) | |
3 | Cutting & Drilling | Drawings * | Indoor | Yes | Yes | No | √ | √ | × | × | (a) | |
4 | Welding | Drawings * | Indoor | Yes | Yes | No | √ | √ | × | × | (a) | |
5 | Surface Treatment | Components after welding | Indoor | Yes | Yes | Yes/No * | √ | √ | √ | × | (a) or (b) | |
6 | Pre-assembly | Components after treatment | Indoor | Yes | Yes | Yes/No * | √ | √ | √ | × | (a) or (b) | |
7 | Ready for Delivery | Final goods | Outdoor | No | Yes | No | √ | √ | √ | √ | (b), (c) or (d) | |
Shipping & delivery | 8 | Alongside Ship | Trucks | Outdoor | No | Yes | No | × | × | × | √ | (d) |
9 | On Board | Ships | Outdoor | No | Yes | No | × | × | × | √ | (d) | |
10 | Ship’s Arrive | Ships | Outdoor | No | Yes | Yes/No * | × | × | × | √ | (d) | |
11 | Goods Unloaded | Trucks | Outdoor | No | Yes | No | × | × | × | √ | (d) | |
12 | Arrival Onsite | Trucks | Outdoor | No | Yes | No | × | × | × | √ | (d) | |
Construction site logistics | 13 | Warehouse | Goods | Indoor | No | Yes | No | √ | √ | √ | × | (a), (b) or (c) |
14 | Laydown Yard | Goods | Outdoor | No | Yes | No | √ | √ | √ | √ | (c) or (d) | |
15 | Installation | Goods | Outdoor | No | Yes | Yes/No * | √ | √ | √ | √ | (c) or (d) |
Barcode | Passive RFID | Active RFID | GPS | |
---|---|---|---|---|
Ruggedness | low | medium | high | high |
Reliability | Wrinkled or smeared labels will not be read | Nearly flawless read rate | flawless read rate | flawless read rate |
Tag size | Small | Medium | Medium (varies depending on application) | Large |
Tag battery | No | No | Yes | Yes |
Orientation dependence | Yes | No | No | No |
Communication range | Very short, must be line of sight | Short (3 m or less) | Long (100 m or more) | Very long |
Data collection | Manually scan | Passive (via portals and smart shelves to request the data from passive tags) # | Active (via portals to receive the data signals emitted from active tags) # | Active (via cellular or satellite) |
Read speed | Slow | Medium | Fast | Fast |
Data storage | <20 characters with linear | Small read/write data (e.g., 128 bytes) | Medium read/write data (e.g., 128 KB) with sophisticated data search and access capabilities | Large read/write data with either a memory card slot, or internal flash memory card and a USB port. |
Updateable | No | Yes | Yes | Yes |
Simultaneous scanning of multiple codes/tags | No | Yes | Yes | Yes |
Cost per tag ($) | 0.01 | 0.05–1.00 | 5–30 | 100 or more |
Fixed infrastructure cost | No | low | high | No |
Tag/sensor capability | Ability to read and transfer tag values only when tag is scanned by reader; no date/time stamp | Ability to read and transfer sensor values only when tag is “powered” by reader #; no date/time stamp | Ability to continuously monitor and record sensor input #; date/time stamp for sensor events | Ability to continuously monitor and record sensor input; date/time stamp for sensor events |
Best area of use | Tracking small objects and low value assets | Tracking within a building or a facility | Tracking within a large area (i.e., construction site) | Tracking within a geographical area or tracking transoceanic shipments and very high value assets |
Activities | Locations | Progress |
---|---|---|
Cutting and Drilling | Zone 1 | 20% |
Assembly | Zone 2 | 24% |
Welding | Zone 2 | 24% |
Surface Treatment | Zone 3 | 15% |
Pre-assembly | Zone 4 | 15% |
Ready for Delivery | Zone 5 | 2% |
9 Nov | 10 Nov | 11 Nov | 12 Nov | 13 Nov | 14 Nov | 15 Nov | 16 Nov | |
---|---|---|---|---|---|---|---|---|
Column 1 | Zone 1 | Zone 2 | Zone 2 | Zone 3 | Zone 3 | Zone 4 | Zone 4 | Zone 5 |
Column 2 | Zone 1 | Zone 1 | Zone 2 | Zone 2 | Zone 3 | Zone 3 | Zone 4 | Zone 5 |
Beam 1 | Zone 1 | Zone 2 | Zone 3 | Zone 3 | Zone 4 | Zone 4 | Zone 4 | Zone 5 |
Material Localization (Static Case) | Material Tracking (Dynamic Case) | Material Search | |
---|---|---|---|
Technology | Active RFID | Active RFID | Paper instruction, Passive and Active RFID |
Subject | 7x RFID tags on the module | 1x RFID tag on the trolley | 50+ plant components in the lay down area |
Frequency | 3–8 s/record (sampling rate) | 3–8 s/record (sampling rate) | 30 search cases/search methods |
Area | Dehydration module | Area around dehydration module | 6 m × 36 m lay down area |
Time duration | 40 min | Around 13 min (800 s) | Around 1.5 h |
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Share and Cite
Wang, J.; Chi, H.-L.; Shou, W.; Chong, H.-Y.; Wang, X. A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry. Sustainability 2018, 10, 4822. https://doi.org/10.3390/su10124822
Wang J, Chi H-L, Shou W, Chong H-Y, Wang X. A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry. Sustainability. 2018; 10(12):4822. https://doi.org/10.3390/su10124822
Chicago/Turabian StyleWang, Jun, Hung-Lin Chi, Wenchi Shou, Heap-Yih Chong, and Xiangyu Wang. 2018. "A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry" Sustainability 10, no. 12: 4822. https://doi.org/10.3390/su10124822