1. Introduction
The contract machining sector in Italy — encompassing turning, milling, grinding, and CNC machining centre operations — is structurally fragmented. According to ISTAT data (2022), over 85% of Italian manufacturing firms have fewer than 10 employees, and within the mechanical machining subsector this proportion is even higher. These micro-enterprises find themselves caught between two opposing dynamics: demand peaks they frequently cannot meet due to capacity constraints, and periods of underutilisation in which machinery sits idle while continuing to generate fixed costs.
At the same time, energy costs in Italy are structurally higher than the European average. According to Eurostat (2023), electricity costs for Italian industrial users rank among the highest in the European Union, particularly penalising energy-intensive processes such as chip-removal machining, which requires machine tools to operate continuously.
Against this backdrop, the recourse to trade associations and consortia — while widespread — has proven insufficient to address the structural problems of commercial visibility and price competitiveness. Business networks (reti d'impresa), introduced by Decree-Law 5/2009 and subsequent amendments, have often remained formal arrangements that never translate into genuinely operational structures.
This article proposes an alternative model: a digital capacity sharing platform that enables metalworking micro-enterprises to make their productive availability windows accessible, accumulate a valued pool of hour-credits, and redeem them at other firms in the network — a mutually beneficial arrangement that reduces dependence on cash as the sole medium of exchange.
2. Context: The Productive Fragmentation of Italian Metalworking
2.1 The District Structure as a Starting Point
Italian economic literature has devoted considerable attention to the nature of industrial districts — territorial agglomerations of small firms specialising in different stages of the same production chain. The foundational work of Becattini (1990) showed how these local systems generate external economies through geographical proximity, the sharing of tacit knowledge, and relational trust among entrepreneurs. Brusco (1982) had already described the so-called "Emilian model" as a system of productive decentralisation capable of combining flexibility and quality through the circulation of labour and competences among complementary firms.
These studies suggest that collaboration among micro-enterprises is not alien to Italian manufacturing culture: on the contrary, it has historically been one of its defining characteristics. What has been lacking, until now, is a digital infrastructure capable of formalising, scaling, and making more efficient this informal collaboration.
2.2 Current Structural Weaknesses
Despite these favourable historical roots, metalworking micro-enterprises today face challenges that traditional district logic can no longer resolve. Pyke and Sengenberger (1992) had already noted how growing global competitive pressure was calling into question the sustainability of district models based solely on geographical proximity, in the absence of more structured coordination mechanisms.
The main structural weaknesses are:
Intermittent machinery underutilisation: a CNC machining centre that sits idle even for 20–30% of its available time generates a significant opportunity cost, given the high initial investment — often exceeding €150,000–400,000 per machine.
Inability to take on large orders: without the capacity to subcontract to trusted partners quickly and in an organised way, micro-enterprises are forced to turn down orders exceeding their instantaneous capacity.
Absence of collective certifications: many high-level clients in automotive, aerospace, and medical sectors require certifications such as ISO 9001, IATF 16949, or AS9100, which individual micro-enterprises cannot afford to obtain or maintain on their own.
Information asymmetry: there is no transparent market in which a firm can quickly identify who has availability for a specific machining operation on a given material.
3. The Sharing Economy and Collaborative Consumption Models
3.1 From Collaborative Consumption to Collaborative Production
The concept of the sharing economy — or collaborative economy — was systematised by Botsman and Rogers (2010), who identified digital technology as the catalyst capable of reducing transaction and trust costs between strangers, thereby making it possible to share underutilised resources at scale. The underlying principle is straightforward: any resource that remains unused for part of the time carries an opportunity cost; the platform allows those who have availability and those who need it to find one another.
Sundararajan (2016) extended this analysis to show how peer-to-peer platforms do not merely replace traditional markets but create new forms of economic organisation — what he terms crowd-based capitalism — in which production and consumption are distributed and trust is algorithmically mediated through reputation systems.
Almost all canonical examples of the sharing economy concern consumption (Airbnb for accommodation, BlaBlaCar for car-sharing, Uber for transport). Transposing these principles to industrial production is more recent and less explored, but it constitutes the most theoretically significant node for the present article.
3.2 Manufacturing as a Service and Manufacturing Platforms
In the field of digital manufacturing, Manufacturing as a Service (MaaS) and cloud manufacturing models have begun to explore the platform-based sharing of productive capacity. Tao et al. (2011) proposed a theoretical model of cloud manufacturing in which productive resources — machines, skills, software — are virtualised and made accessible as on-demand services, analogously to cloud computing.
At the applied level, platforms such as Xometry (USA, subsequently expanded into Europe) and Fictiv operate as marketplaces between buyers and manufacturers: the client uploads a CAD file, and the platform routes the request to the most suitable verified producers in its network. However, these models remain predominantly asymmetric (one side sells, the other buys) and do not incorporate a mechanism for reciprocal, peer-to-peer exchange among producers.
The model proposed in this article is structurally different: rather than a vertical marketplace, it is a horizontal and mutualistic platform in which all participants are simultaneously providers and potential consumers of capacity.
4. Time Banking as an Exchange Mechanism
4.1 Origins and Principles of Time Banking
Time banking is a reciprocal exchange system in which the unit of exchange is time, not money. Every hour of service provided is credited as a token, redeemable for services from other participants in the network. The model was theoretically formalised by Edgar Cahn (2004), who developed its modern version as an instrument of social cohesion and recognition of unpaid labour.
The core idea is that monetary exchange is not the only possible form of economic transaction, and that systems based on deferred reciprocity — you give now, you receive in the future from someone else in the network — can be efficient and sustainable when there is sufficient trust and clear governance rules.
Seyfang (2004) documented how time banks operate successfully in diverse community contexts, highlighting the importance of transparency in credit accounting systems and clarity in the rules governing conversion between hours of different perceived value.
4.2 From Services to Production: Valuing Machine Time
Transposing time banking to industrial production introduces a complexity absent from traditional time banks: not all hours are equal. An hour on a mid-range CNC lathe is not worth the same as an hour on a state-of-the-art 5-axis machining centre; an operator with thirty years of experience on stainless steel is not interchangeable with a recent hire.
This problem is not insurmountable: it is possible to define a hour valuation system that accounts for variables such as:
Type and year of purchase of the machinery
Hourly cost declared by the firm (operator + depreciation + energy)
Available certifications
Reliability rating accumulated on the platform
The result is a non-homogeneous but weighted unit of exchange — which we might call an HourCredit — in which an hour on a more expensive machine is worth more HourCredits than an hour on a lower-range one. This logic is analogous to that of frequent flyer programmes, in which points carry differential value depending on the route or class of travel.
5. The Proposed Model: Platform Architecture
5.1 General Structure
The platform is structured around two primary functions:
A) Availability calendar (supply side): each member firm creates a profile for each piece of machinery, specifying its type, year of manufacture, technical capabilities (travel, spindle speed, achievable tolerances, machinable materials) and total hourly cost. On a weekly calendar, the firm indicates its available slots — the time windows in which it can accept external machining work. These slots can be blocked, modified, or cancelled at any time with a minimum notice period defined by the platform's rules.
B) Machining request (demand side): when a firm needs to outsource a job — due to order overflow, the absence of a specific machine, or to optimise its own scheduling — it accesses the platform, enters the job parameters (drawing or specifications, material, tolerances, quantity, delivery date) and receives a list of compatible firms with confirmed availability. Assignment can take place via direct acceptance or a reverse auction in HourCredits.
5.2 The HourCredit System and the Annual Pool
Every completed job is validated by both parties and generates a HourCredit balance for the firm that made the machinery available. These credits are:
Transferable within the network: they can be spent at any member firm (or, in a geographically restricted version, at firms within the same area)
Non-convertible into cash during the year (to prevent the platform from becoming a monetary market subject to financial regulation)
Subject to partial expiry at year-end, through a redemption pool mechanism
The annual pool works as follows: a proportion of unused credits at 31 December (for instance, 50%) is contributed to a collective fund. Firms with excess HourCredits can choose to redeem that share against shared network services (collective maintenance, aggregated purchasing of energy or cutting tools, training), or receive a partial cash reimbursement calculated on the residual value of the pool. The remaining proportion lapses, incentivising the active use of credits throughout the year.
This mechanism addresses the problem of passive credit accumulation by highly productive but low-consuming firms, which would otherwise depreciate the internal currency and render the system asymmetric.
5.3 Governance and Trust
The issue of trust is central to any peer-to-peer exchange system. Rochet and Tirole (2003) demonstrated how two-sided platforms must carefully balance the incentives of both sides to achieve a stable critical mass. In the case of the capacity sharing platform, trust is built through:
Two-way rating system: both the firm assigning the job and the firm executing it rate each other. Ratings cover punctuality, quality, adherence to specifications, and reliability of communication.
Access threshold: new firms enter with an observation period during which they may offer capacity but not yet request it, thereby building a reliability profile before accessing credit.
Standard machining contract: the platform provides a simplified contract template governing liability for scrap, rework, delays, and damage — reducing legal uncertainty.
Camarinha-Matos and Afsarmanesh (2005) showed that in collaborative manufacturing networks, trust-building requires time and formal structures: geographical proximity alone is insufficient. Digital reputation systems accelerate this process by making each participant's transaction history visible.
6. Why Geographical Localisation Matters (At Least Initially)
A critical design element is geographical proximity in the initial phase. Contract machining is heavily conditioned by logistics: a workpiece that must travel 400 km to be milled and then returned carries transport costs that can entirely negate any price advantage. Semi-finished parts — often steel or aluminium with substantial weight — involve non-negligible shipping costs.
For this reason, in its initial version, the platform should be organised by territorial basins — roughly corresponding to provinces or industrial clusters — within which logistics can be managed using the firms' own vans or local courier services. Only in a later phase, for high-value-added operations where transport costs represent a small proportion of total value, would it make sense to extend the geographical scope.
This basin-based structure is consistent with the district logic documented by Becattini and Brusco: trust and collaboration arise more readily among entrepreneurs who know each other, attend the same local trade fairs, and belong to the same craft associations.
7. Implementation Challenges
7.1 Critical Mass
Möhlmann (2015) highlighted how user satisfaction in collaborative economy platforms depends heavily on the availability of choice — that is, on the critical mass of participants. A platform with few members is useless: there is insufficient supply to meet demand, and insufficient demand to motivate supply. This is the classic cold start problem of two-sided platforms.
The launch strategy must include a preliminary aggregation phase — potentially through agreements with trade associations (Confartigianato, CNA, API) — to reach a minimum threshold of 15–20 firms per territorial basin before the operational launch.
7.2 Skills Standardisation
Contract machining is a sector in which quality depends heavily on the operator's experience as well as the machine. A technical drawing alone does not guarantee that the part will emerge with the required tolerances. The platform must incorporate a system of verifiable declared competences: held certifications, materials processed, guaranteed tolerances, and examples of previous work.
7.3 Legal and Regulatory Framework
The exchange of services between firms without immediate monetary consideration raises fiscal and regulatory questions that must be carefully addressed. In Italy, the contratto di rete (Business Network Contract, L. 33/2009) and the broader rete di imprese framework offer a legal structure within which service exchanges between member firms can be organised in a tax-compliant manner. An alternative is to constitute the platform as a service cooperative among member firms, with internal rules governing exchanges as offsetting transactions between members.
7.4 Cultural Resistance
The historical reluctance of small artisan entrepreneurs to share information about their machinery, clients, and availability should not be underestimated. The artisan entrepreneur typically views productive capacity as a reserved asset, the visibility of which could be exploited by competitors. The platform must incorporate partial anonymisation mechanisms during the matching phase and a code of conduct governing opportunistic behaviour.
8. Analogies with Existing Models
The proposed model is not entirely without precedent. Several instructive analogies exist:
BlaBlaCar demonstrated that it is possible to build trust between strangers for the sharing of a physical asset (a car) through a system of verified profiles, ratings, and clear rules. The difference is that BlaBlaCar mediates a monetary exchange, whereas the proposed platform mediates an exchange in HourCredits — which reduces friction but requires a more sophisticated internal accounting system.
Timerepublik and hOurworld are time banking platforms already operating globally, demonstrating the technical feasibility of a system of non-monetary hour-credits. The difference is that they operate in the personal services sector, where quality standardisation is far less critical than in precision manufacturing.
Floow2 (Netherlands) is perhaps the closest existing example: a B2B platform for sharing business resources (machinery, spaces, personnel) between firms, active primarily in the Netherlands and Belgium. It demonstrates that a market for these models exists, even if it has not yet scaled broadly.
9. Opportunities and Development Prospects
Beyond its primary capacity sharing function, the platform can evolve towards complementary high-value-added services:
Aggregated purchasing: network firms can pool purchases of raw materials (steel, aluminium, alloys), cutting tools, and lubricoolants, achieving volume discounts currently inaccessible to individual micro-enterprises. Lacy and Rutqvist (2015) documented how circular economy models based on aggregated purchasing can reduce input costs by 15–25%.
Renewable Energy Community: firms connected through the platform, often concentrated in the same industrial zones, have the organisational basis to establish a Renewable Energy Community (REC) — a framework now supported under EU Directive 2018/2001 and its national transpositions — reducing energy costs through shared photovoltaic installations and associated incentives.
Collective certification: the network can collectively bear the costs of a shared ISO 9001 or IATF 16949 certification, opening access to automotive or aerospace clients that would otherwise remain out of reach for individual micro-enterprises.
Data and predictive analytics: over time, the platform accumulates valuable data on the supply and demand of capacity by machining type, geographic area, and period of year. This data can be returned to firms in anonymised form to help them plan investment and staffing decisions, or aggregated to produce sector-level reports.
10. Conclusions
A capacity sharing platform for metalworking micro-enterprises represents a systemic response to a structural problem that traditional solutions — paper-based consortia, nominal business networks, trade associations — have failed to solve. Its strength lies in combining three elements that, taken individually, already exist: the collaborative logic of Italian industrial districts, the technology of two-sided digital platforms, and the reciprocal exchange mechanism of time banking.
The challenge is not technological — building the platform is relatively straightforward. The challenge is organisational and cultural: aggregating an initial nucleus of entrepreneurs willing to experiment with a new model, building mutual trust, and demonstrating with concrete data that the system creates value for all participants.
Those who have insider knowledge of the sector — its culture, its fears, its real needs — hold an enormous comparative advantage in addressing this challenge. Not because it is easy, but because they know exactly which problem they are solving, and how to speak to the people who live with it every day.