A community of agents as a tool to optimize industrial districts logistics

The aim of this paper is to find an optimal solution to operational planning of freight transportation in an industrial district. We propose a system architecture that drives agents – the industrial district firms - to cooperate in logistic field, to minimize transport and environmental costs. The idea is to achieve logistics optimization setting up a community made of district enterprises, preserving a satisfactory level of system efficiency and fairness. We address the situation in which a virtual coordinator helps the agents to reach an agreement. The objectives are: maximizing customers satisfaction, and minimizing the number of trucks needed. A fuzzy clustering (FCM), two Fuzzy Inference System (FIS) combined with a Genetic Algorithm (GA), and a greedy algorithm are thus proposed to achieve these objectives, and eventually an algorithm to solve the Travelling Salesman Problem is also used. The proposed framework can be used to provide real time solutions to logistics management problems, and negative environmental impacts

From geographical innovation clusters towards virtual innovation clusters: The innovation virtual system

The opportunities of the new economic landscape have determined radical changes in the organizational structures of the firms, till the creation of new virtual clusterization forms, that is distinct systems of suppliers, distributors, service providers and clients that use the 'internetworking technologies' as a principal way for co-operating and competing. These 'virtual clusterization forms' that have been also defined as 'e-business communities' or 'b-web communities' (Tapscott, Lowy & Ticoll, 2000), are here defined as 'virtual clusters'. In a virtual cluster (VC), each enterprise adds one or more distinct aspects of product/service value to the value of the network, by exchanging digital knowledge with other members. Recent studies, focused on VCs, highlight that the VC enabling factors may be identified in ICTs ubiquity (increasingly wireless) and bandwidth robustness, that allow firms to access real-time what they need and to co-ordinate their intra and inter-firm activities, creating value both by offering innovative and personalized products, services and by cutting transaction costs. (Davin and Botkin, 1994) (Rayport and Sviokla, 1995). This paper focuses on these VCs innovation processes, in order to make some comparisons between the traditional geographical innovation clusters and the emerging virtual innovation clusters. To this end, the paper is organized in two logical patterns: Some empirical evidence for describing ad discussing the more important features of the emerging VCs. Specifically, the paper focuses on the following issues: - Some first results on VCs characteristics, regarding four distinctive features of their new world of business: i. Agents: radical increase in the number of agents that form a cluster. ii. Connections: virtually unlimited increase in the number of connections and therefore in the potential size of the cluster. iii. Space: delocalization of transactions which become space independent. iv. Time: information transmission takes place at the speed of electronic communication. - The analysis of the VC basic unit, the Internetworked Enterprise (IE), and of its learning process with customers and trough strategic alliances. A model of the VCs global virtual learning environment, here conceived as a system of innovation, defined as 'Innovation Virtual System' (IVS). IVS is here interpreted as a new way of projecting the traditional systems of innovation into a global scale.

Is Industrial Districts Logistics suitable for Industrial Parks?

The paper discusses the role of logistics for industrial districts, highlighting the current status and defining a logistics model supporting the relationships between providers and users of logistic services within the local context of an industrial district. A comparison with industrial parks, with reference to Romanian ones, allows identifying the potential of adaptation for industrial district logistic models to industrial parks

Industrial Districts and the City: Relationships in the Knowledge Age. Evidence from the Italian Case

The spatial implications of fordist and district-based patterns of development have had a profound effect on the debate about the role of the city. While the city is reputed to be the crucial provider of basic public goods within the fordist model, its role seems more nuanced, if not disputable, when the district model prevails. This disregard for the city is probably due (a) to the fact that the revival of the debate on marshallian districts has placed strong emphasis on the agglomeration economies internal to the districts themselves, while relatively omitting the urban ones, when not emphasising the burden of urban diseconomies; (b) to the countryside roots of most district pioneers. The quarrel was further fuelled with the advent of ICTs, the fragmentation of the productive processes and the possibility of displacing phases at a global level. The paper argues that this is only the early part of the history. The advent of ICTs has had not only functional although important consequences on the internal organisation of firms and industry and on economic geography as a whole; it has also, however, made innovation and knowledge ? rather than cost-saving policies ? the crucial drivers of the competitiveness of firms and local economic systems. The notion of knowledge has profoundly changed too, and the main change consists in the shift that is occurring from Learning I to Learning II, that is from the “production and accumulation†of knowledge according to pre-established codes, to its “generation and articulation†thanks to an endless reshaping of cognitive codes. On this prospect, while firms, places and regions are increasingly conceptualised as Learning II milieus, cities are proving to be a crucial and irreplaceable milieu for knowledge generation. As a consequence, it is becoming necessary to reassess the relationships between industry and the city. Within this new situation, industrial districts may suffer a severe condition of marginality from the central driver of knowledge generation, owing to their lack of internal competences in dialoguing with the city, and/or the lack of suitable mediators.

Standard-Setting and Knowledge Dynamics in Innovation Clusters

Extensive research has been conducted on how firms and regions take advantage of spatially concentrated assets, and also why history matters to regional specialisation patterns. In brief, it seems that innovation clusters as a distinctive regional entity in international business and the geography of innovation are of increasing importance in STI policy, innovation systems and competitiveness studies. Recently, more and more research has contributed to an evolutionary perspective on collaboration in clusters. Nonetheless, the field of cluster or regional innovation systems remains a multidisciplinary field where the state of the art is determined by the individual perspective (key concepts could, for example, be industrial districts, innovative clusters with reference to OECD, regional knowledge production, milieus & sticky knowledge, regional lock-ins & path dependencies, learning regions or sectoral innovation systems). According to our analysis, the research gap lies in both quantitative, comparative surveys and in-depth concepts of knowledge dynamics and cluster evolution. Therefore this paper emphasises the unchallenged in-depth characteristics of knowledge utilisation within a cluster's collaborative innovation activities. More precisely, it deals with knowledge dynamics in terms of matching different agents´ knowledge stocks via knowledge flows, common technology specification (standard-setting), and knowledge spillovers. The means of open innovation and system boundaries for spatially concentrated agents in terms of knowledge opportunities and the capabilities of each agent await clarification. Therefore, our study conceptualises the interplay between firm- and cluster-level activities and externalities for knowledge accumulation but also for the specification of technology. It remains particularly unclear how, why and by whom knowledge is aligned and ascribed to a specific sectoral innovation system. Empirically, this study contributes with several descriptive calculations of indices, e.g. knowledge stocks, GINI coefficients, Herfindahl indices, and Revealed Patent Advantage (RPA), which clearly underline a high spatial concentration of both mechanical engineering and biotechnology within a European NUTS2 sample for the last two decades. Conceptually, our paper matches the geography of innovation literature, innovation system theory, and new ideas related to the economics of standards. Therefore, it sheds light on the interplay between knowledge flows and externalities of cluster-specific populations and the agents' use of such knowledge, which is concentrated in space. We find that knowledge creation and standard-setting are cross-fertilising each other: although the spatial concentration of assets and high-skilled labour provides new opportunities to the firm, each firm's knowledge stocks need to be contextualised. The context in terms of 'use case' and 'knowledge biography' makes technologies (as represented in knowledge stocks) available for collaboration, but also clarifies relevance and ownership, in particular intellectual property concerns. Owing to this approach we propose a conceptualisation which contains both areas with inter- and intra-cluster focus. This proposal additionally concludes that spatial and technological proximity benefits standard-setting in high-tech and low-tech industries in very different ways. More precisely, the versatile tension between knowledge stocks, their evolution, and technical specification & implementation requires the conceptualisation and analysis of a non-linear process of standard-setting. Particularly, the use case of technologies is essential. Related to this approach, clusters strongly support the establishment of technology use cases in embryonic high-tech industries. Low-tech industries in contrast rather depend on approved knowledge stocks, whose dynamics provide better and fast accessible knowledge inputs within low-tech clusters.innovation clusters, standard-setting, knowledge externalities and flows, knowledge alignment, mechanical engineering, biotechnology

Individual Contacts, Collective Patterns. Prato 1975-97, a story of interactions.

This article presents an agent-based model (ABM) of an Italian textile district where thousands of small firms specialize in particular phases of fabrics production. It is an empirical model because it reconstructs the communications between firms when they arrange production chains. In their turn, production chains reflect into the pattern of road traffic in the geographical areas where the district extends. It is a methodological model because it aims to show that ABMs can be used to reconstruct a web of movements in geographical space. ABMs are proposed as a tool for Hägerstrand’s “time-geography”.Industrial districts, Industrial clusters, Agent-based models, Prato

The evolution toward vagueness of industrial district concept and its impact on regional innovation policy

Ingenio Working Paper SeriesThe paper discusses the development of the industrial district policy in Italy and the different roles of regions in its implementation, and provides an initial assessment of the relationship between regional districts and innovation policies. First, we provide an overview of Italian national legislation on industrial districts since 1991 and the changes that have resulted. Next, we examine the evolution of industrial district policy in Veneto, in the context of the Italian framework. The regional government implemented its industrial district policy in the late 1990s and it has yielded some results which deserve attention. Second, we look at the benefits and limitations of district policy governance in Veneto region and focus on the links between regional district and innovation policies. To achieve a first assessment of district preferences in terms of policy, the paper discusses the specific arrangements in five industrial districts in different sectors, and the support provided by regional government. Our findings show that innovation projects are of limited relevance in strategies of industrial districts. A recommendation for policy is that cluster initiatives should be aligned to the specific economic features of the territory. Problems arise when national governments and international organizations assume that ‘one size fits all’.N

Lake Victoria Fisheries Management Plan

The purpose of this Fisheries Management Plan (FMP) within the Lake Victoria Fisheries Research Project was to sustain the livelihoods of the communities who depend on the fishery resources of the lake and to reduce poverty, food insecurity and unemployment. To achieve this goals, a better management of the resources, which would mobilize and include stakeholders at local, regional, national and international level was believed to be the right strategy for success. (PDF contains 79 pages

Foreign Direct Investment in Ireland: Policy Implications for Emerging Economies

The increasingly important role of multinational enterprises (MNEs) in the global economy is linked to questions of how the foreign direct investment (FDI) they control impacts on overall economic activity in the recipient countries. Of specific interest is the policy context in which such FDI flows into the developing country and how a government can influence the impact of those flows. This paper reviews some of the literature in two key contextual areas, namely, when the host country policy regime promotes FDI selectively, and secondly, where it promotes the creation of industrial clusters. It explores the insights of this literature for the development of the strong MNE sector in the Irish economy and draws lessons from the Irish experience for emerging economies.Note: Length: