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tion Supply Chain and of the Construction Site and

their digital representations in companies’ informa-

tion systems. Last decade was the time for RFID

(Radio-Frequency IDentification) tags, which have

found multiple applications in CSCM, as in Ja-

selskis and El-Misalami (2003), Wang et al. (2007),

El-Omari and Moselhi (2009) and Ren et al. (2011).

Despite their great potential, and several interesting

applications, RFId has not become a standard in

this industry, due to limitations in reading capabi-

lities and difficulties related to benefits sharing, as

happened in other industries.

Nowadays, the Internet of Things (IoT) paradigm               Fig. 5 - Tank truck sensors for fleet management, safety
                                                              and payload protection
(from wireless sensors to smart and connected
                                                              interrogated to feed the Vendors Rating system,
objects) is spreading in the business scenario to             as well as to update MRP (Materials Requirements
                                                              Planning) parameters, or to feed an application,
empower the connection capabilities between                   which optimises the supply line given a target
                                                              risk level (Cagno and Micheli, 2011). Secondly,
physical and digital worlds. IoT appears to fit ex-           products in the construction industry fall very of-
                                                              ten in what Porter and Heppelmann (2014) called
tremely well the Construction industry thanks to a            “Product Systems” or “System of Systems” (e.g.,
                                                              a renewable energy plant connected with local in-
more favourable cost ratio, with respect to mass              frastructures, weather forecasting and energy mar-
                                                              kets). In these situations, the source of competitive
markets, and to the higher value of the collected             advantage will be reinforced by the pivotal role in
                                                              the value chain, thanks to the Extended Enterprise
information in a product lifecycle management per-            view, enabled by a smart-connected product.

spective.                                                     Conclusions

For instance, the Refining and Marketing division             In the present paper, we discussed how manage-
                                                              ment practices and tools coming from traditional
                          of Eni started a few years ago a    manufacturing and service industries could be suc-
                                                              cessfully applied to an ETO context. Issues such as
                          project for advanced data col-      integrated Design and Sourcing, simulation-aided
                                                              project Design, lean adoption for the Build/Run
Nowadays, the Internet    lection concerning its fleet of     phases and IT enabled Supply Chain, are impor-
of Things (IoT) paradigm  tank trucks (about 700 trucks       tant areas in which ETO companies should look for
(from wireless sensors    operating in Italy). Each truck     a competitive advantage.
                          has been equipped with multi-       In this regard, there is somehow a peculiar symme-
to smart and connected ple sensors (engine on/off, GPS        try with the mass-market industry. Fisher (1997) fo-
objects) is spreading in  position and speed, fluid pumps     stered the adoption of a more “engineered to pur-
the business scenario to                                      pose” supply chain for mass-market companies:
empower the connection    on/off, suspension elongation       he suggests to just define the type of your products
                          to estimate actual payload, fi-     (in terms of e.g., product life cycle, product varie-
  capabilities between    gure 5), and a GPRS connec-         ty and contribution margin) and adapt the supply
physical and digital      tivity was added so as to have      chain accordingly. The ETO industry, conversely, is
                                                              pretty accustomed with a “engineered to purpo-
                          a 5-min data update toward the      se” supply chain, but we think that in nowadays
                                                              scenario there might be the room for more “mass-
worlds                    control tower. In this way, alarms  market” oriented management models.
                          and warnings about driving be-      In this paper we discussed how some manage-
                                                              ment approaches and models, which are almost
                          haviour (e.g. excessive driving     commodities in traditional manufacturing compa-
                                                              nies so far, could be adopted in ETO contexts, with
                          time), travel schedule (e.g.,       excellent results. These models (figure 6) can co-
                                                              ver all the phases of Project design and delivery
unexpected stoppages) and load management                     and may represent a powerful cross-fertilisation

(e.g. unscheduled fluid download, or manual fluid

download) can be gathered and managed in real

time. Moreover, collected data can be stored in a

database, which is useful for truck capacity plan-

ning and day-by-day scheduling.

Construction companies pushing this vision to the

state-of-the-art will find more competitive advan-

tages at their reach. First, extended enterprise

technologies, to be fully exploited, require state-of-

the-art IT architectures, such as pervasive Cloud

computing and Service Oriented Architectures.

When embracing such architectures and thanks to

the improved connection with the physical world,

many management techniques and tools which are

now seen as isolated applications within isolated

departments will be naturally re-engineered, from

shared data to shared services, pushing toward a

genuine supply chain oriented view of every pro-

cess. For example, a web service that manages

recorded data about components quality could be

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