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Page 172 glossing over them, or solving them Successful customer-based project firms have a capacity to continually surprise their partners by their willingness to go the extra mile to satisfy problems to the degree they are capable The customer satisfaction data we receive should point to some obvious gaps in our performance or miscues that we have to work to correct We suggest that as part of the commitment to customer satisfaction, the project firm work in partnership with its clients at this stage of the process to show them the results of the surveys, and what the project firm is prepared to do to resolve the problems This step gives the client the opportunity to offer their own input, suggest alternative solutions to the perceived problems, and work in partnership to develop a strategy for moving through the rough spots We have been constantly gratified in our own work experiences by the amazement that is usually shown by client firms at this stage when we make our findings of their dissatisfaction available to them and show a willingness to work in collaboration with the customers to solve the problems Our experiences suggest that for the vast majority of project client firms, this approach is by far the exception, not the rule As the reader might imagine, it leaves a lasting impression and establishes a level of trust in the business relationship that usually leads to long-term relationships 8 Implementing and monitoring the changes The final step in the process for creating customerbased project organizations is to use the project team created in the beginning as the spearhead for implementing this program throughout the organization One of the points of resistance we sometimes hear within a firm is the argument from some departments that they are shielded from the customers Customer satisfaction is the responsibility of marketing, field engineering, top management, anyone but themselves The reality is that there are few groups within project-based firms that have no contact with customers Further, when we start making artificial distinctions between those departments that interact with.

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This is exactly the fractional modal decomposition of order one half of the impulse response h(t); it has the impulse response structure of a fractional differential equation, with the difference that nite sums become series in the case of our equation with fractional partial derivatives (strictly speaking, it is advisable to examine in which way the series of functions (753) converges, so as to give a precise analytical meaning to our formal expression) 754 Free problem In addition, to completely analyze the model suggested, we considered the free problem, ie, with zero order (u 0), but with non-zero initial conditions, ie: t2

2 X x X = 0 for t > 0 and x ]0, 1[

X(t = 0, x) = g(x)

X(t = 0, x) = 0

hop count hop count)

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and homogenous (745) absorbing boundary conditions (u 0) In [MAT 96a], we carried out an extension to the in nite dimension of the results established on the fractional differential equations; we obtained the following half-integer modal decomposition of the solution:

X(t, x) =

n=

Page 173 clients and those who do not, we send the implicit message that customer satisfaction is not everyone s concern Either way, this attitude is dangerous and antithetical to establishing a corporatewide philosophy of customer-based project success

where ( n )n constitutes the half-integer temporal spectrum and where n are the spatial modes worth, as for the equation without loss (ie, with = 0), n (x) = r0 exp( s0 x) exp(s0 x) In other words, the solution of the problem is a n n sum of space time products, but contrarily to the case of the integer temporal order, the time evolution of each spatial vibration mode is not exponential, but monogenic in nature and of half-order

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Lastly, with regard to the temporal decrease of the waves energy, it is, once again, by using the equivalent diffusive formulations that we can answer positively to this question (see [MAT 98b]) We would like to give some more insight on the use of diffusive representations for this type of FPDE: in the case of a varying cross-section, that is, when curvature is present, the above model becomes a bit more complex; it is sometimes called the Webster-Lokshin model (see [H L 06a] for the model itself and its resolution in the Laplace domain in the case of piecewise-constant coef cients); using the Hille-Yosida theory, the well-posedness of this system has rst been proved in [HAD 03], with full technical details in 2 of [HAD 08b]; numerical schemes taking advantage of this equivalent reformulation have been proposed and analyzed in [HAD 08a], with full technical details in 3 of [HAD 08b]; using the Arendt-Batty stability theorem, the asymptotic stability of this system has rst been proved in [MAT 06] 76 Conclusion This chapter is only an introduction to fractional calculus and its multiple applications Through the meticulous examination of the connections which exist between two de nitions of fractional derivatives, detailed asymptotic analysis of the fundamental solutions of these operators (the decrease at in nity in t 1 of stable solutions is the analytical expression of the physical phenomenon of long memory), we have shown the unquestionable contribution of a complex analytical approach, which always establishes the link between the temporal and frequential domains We also hope to have illustrated the simplicity and the elegance of the diffusive representations which present, in our eyes, promising, if not decisive advantages in the elds of modeling, analysis, approximation and identi cation, without being restricted to the fractional case 77 Bibliography

[AUD 00] AUDOUNET J, M ATIGNON D, M ONTSENY G, Diffusive representations of fractional and pseudo-differential operators , in Research Trends in Science and Technology (Beirut, Lebanon), Lebanese American University, p 171 180, March 2000 [BAG 83a] BAGLEY RL, T ORVIK PJ, Fractional calculus A different approach to the analysis of viscoelastically damped structures , AIAA J, vol 21, no 5, p 741 748, 1983

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