As in any professional field, communication plays a profound role in the practice of engineering. Unlike many other areas of occupation, however, communication’s place in engineering lies largely among massive amounts of data. Engineering firms, amassing data from any number of sources, must take an approach to communication based largely on practicality and repeatability, rather than on rhetoric and inflection.
The difference between engineering and other professions is the nature of the data being collected and distributed, as well as the receiver of the data. For instance, while a doctor may need to translate a diagnosis into layman’s terms for a patient, an engineering firm simply tries to process and record a given data set in a manner that is simply efficient and accurate, as a doctor may communicate with another doctor.
Imagine, however, that two doctors conferring on a diagnosis do not speak the same language. While each is independently competent and fluent in terminology, the lack of uniform communication hinders their effectiveness, rendering the pair ineffective. This, in short, is just part the struggle faced by the engineering community.
Despite the furious pace of technological advance taking place in the US and elsewhere, data sharing in engineering is still an issue. The problem is not lack of available technology, but rather lack of uniform data processing. The cost of inefficient communication ultimately adds up to time, money, and sub-standard quality.
The first step of an engineering project is the design process. Coinciding with globalization and an increased number of developed areas around the world, the field of engineering has seen increasing international collaboration. In the case of design, technology possesses a potential for enhanced collaboration that has yet to be realized. To address this issue, an initial application to establish a means of international cooperative engineering was proposed by design engineers Jiansheng Li and Daizhongd Su. According to Li and Su (2008), the intention of their proposal is to assist “geographically dispersed users to communicate and collaborate over the Internet.” Their system, or what they refer to as a Web Enabled Environment (WEE), would be adaptable to diverse design programs as well as languages, ultimately creating a universal design platform.
In order for the designers’ work to see the light of day, the second step of the engineering process is manufacturing or construction (depending on the nature of the design). In order for this step to take place, however, the builder has to have supplies. As with the design process, the supply process requires detailed, real time data sharing in order to achieve maximum efficiency. Babin et al. (2007) proposes an electronic system of product monitoring using sensors and “Radio-Frequency Identification (RFID) Systems” that would allow buyers and suppliers to receive instant product status updates. This “on-demand information exchange” (Babin et al. 2007) would enable more intuitive decision making on the part of both parties. Essentially, this system would create an instant, ongoing electronic conversation between the buyer and seller.
Within the study of supply and demand, though, technology is not the only solution to the problem of inefficiency. According to Chan et al. (2008), the importance of a healthy work relationship between a buyer and seller far surpasses that of instant data exchange. The proposal not only opts for human relationship as apposed to technological solutions, but questions whether information technologies (IT) have any positive effect at all within supply chain management. The only consolation the study offers on behalf of information technologies is the suggestion that they may “generate sustainable competitive advantage by facilitating collaborative communication and fostering relational capabilities.”
The alternative offered by the proposal is the suggestions that cultivating professional relationships is the most effective means of gaining a competitive advantage in today’s marketplace. According to the proposal, “Effective and efficient communication between supply chain partners reduces product and performance-related errors, thereby enhancing quality, time, and customer responsiveness.” Additionally, a warning is offered regarding short sighted and monetarily focused buyer-seller relationships; the paper suggests such practices “can inhibit the development of relational competencies, frustrate collaborative communication, and heighten opportunism, which ultimately dissipates relational rents” (Chan et al. 2008).
After successfully negotiating the realm of supply and demand, the next step of the engineering process is construction. While construction sites are a common site in today’s ever developing world, communication issues on the site are most likely unapparent to the common onlooker. It is easy to see, however, that monitoring a large construction site would be difficult to accomplish from one location. The result of the sometimes immense sprawl is multiple centers of data, or what Bernold and Lee (2008) refer to as “islands of information.” The end result of the “islands” is a disjointed information system that is neither centralized nor consistent. In order to address the issue, Bernold and Lee (2008) suggest a Local Area Network (LAN) based system of cameras placed strategically around a site. Working similarly to a WiFi network, the cameras would allow wireless monitoring of an entire site from a central location, resulting in consistent, consolidated information gathering and processing, cutting out the process of data transfer entirely, and thereby solving the communication issue.
The last step of the engineering process is long term condition monitoring. The practice of condition assessment is very common in the field of transportation, where miles of roads keep agencies busy assessing, reporting, and processing road conditions. In addition to the immense amount of data inherent in such an extensive undertaking, the process is further muddled by inconsistent data gathering and processing. Each transportation agency uses a set of standards and measurements to assess road conditions, known as an Infrastructure Management System (IMS) (Capuruco and Tighe, 2006). According to Capuruco and Tighe (2006), agencies within the US alone are using “8 different categories of devices from 10 different vendors to conduct pavement data collection and condition assessment only.” The data collected by these agencies, intended to provide information that would lead to better future road construction, ends up lost in translation due to the numerous data collection and processing standards. Their proposal calls for a unification or regulation of road monitoring standards, which would ultimately result in improved road quality and cost efficiency due to less need for repair.
Ultimately, the majority of proposals regarding information sharing within the field of engineering call for automated, instant transfer which, ironically, effectively eliminates actual communication from the process. The lone study pushing for more established relationships within a business community is an exception to the common school of thought. Within this paper, the proportion of human based solutions to technologically based solutions roughly matches the proportion produced by academic writers in the field of engineering; technology is undeniably the future of business and engineering. While I would not presume to assign a “correct” time and place for professional relational improvement, I would venture that human contact has, and always will have, its place in each field, and should not be forgotten as the foundation of both.
Works Cited
1.) Capuruco R, Tighe S. A Web-Centric Information Model for Managing Road Infrastructure Data. Computer-Aided Civil and Infrastructure Engineering [Internet]. [cited 2008 April 5]; 21: 357-368. Available from EBSCO Host: http://web.ebscohost.com.proxy.lib.utk.edu:90/ehost/detail?vid=3&hid=120&sid=58c59aa5-89bd-4034-98ec-ae3b8c0a2f56%40sessionmgr109.
2.) Chen I, Lado A, Paulraj A. Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer-supplier relationships. Journal of Operations management [Internet]. [cited 2008 April 5]; 26: 45-64. Available from ScienceDirect: http://www. Sciencedirect .com.
3.) Li J, Su D. Support modules and system structure of web-enabled collaborative environment for design and manufacture. International Journal of Production Research [Internet]. [cited 2008 April 5]. 46: 2397-2412. Available from Informaworld: http://www.informaworld.com.
4.) Bernold L, Lee J. Ubiquitous Agent-Based Communication in Construction. Journal of Computing in Civil Engineering [Internet]. [cited 2008 April 5]. 22(1): 31-39. Available from ASCE Research Library: http://scitation.aip.org.
5.) Babin G, Carothers C, Hsu C, Levermore D. Enterprise Collaboration: On-Demand Information Exchange Using Enterprise Databases, Wireless Sensor Networks, and RFID Systems. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans. [cited 2008 April 5]. 37(4) 519-532. Available from IEEE Explore: http://ieeexplore.ieee.org.