Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms

The selection of resource systems is still a difficult matter to solve in distributed / Agile / Virtual enterprises ( D/A/V Es ) integration. Attempts to solve the resources selection problem, has originated several models and consequently different algorithms have been applied to obtain solutions. The exact algorithms have good performance (in terms of computational time) for low dimension problems. However, become ineffective as the complexity increases. Genetic algorithms are considered robust and versatile. These have been applied to complex problems in several application areas and gained popularity in innumerable research works. To improve the computational time in solving the resources selection problem, we pretend to apply a genetic algorithm. Due to the characteristics of the model, the application of this algorithm forced adjustments in the initial model. In this work, we present the adaptations performed in the study model in order to use genetic algorithms.info:eu-repo/semantics/publishedVersio

An analysis about the resources selection process in agile/virtual enterprises

We intend in the context of this work, to do an analysis on studies, literary revisions and mainly on existent models, in the universe of virtual enterprises resources selection, in order to allow us to put on perspective, in a sustainable way, new slopes to be incorporated that contributes to an improvement of the whole global process. This analysis for the A/VE was focused in several areas and basic slopes for the whole global process of the problem in question, namely in terms of the pre-selection phases and requisites; selection phases, requisites and methods; mathematical models, used tools and other important areas. There were incorporated the decision process of create an A/VE project and the requisites of the process principal phases. We approach the essential aspects for the work that is intended to develop, such as the integration of the existent models with the tasks plan (PT) of the product, namely if there are contemplated the eformulation and evaluation of the PT, and other important characteristics such as the weighting of resources and the incorporation of the value concept in the existent models, being that in our opinion an integration of a methodology of the type of Value Analysis will be able to incorporate surplus values in all this process. Conclusions were withdrawn on the whole global process, pointing to gaps and limitations and trying to do an approach which allows to sinthetize and put in perspective an efficient analysis of the whole extent of the problem in question.info:eu-repo/semantics/publishedVersio

Domain of applicability of Value Analysis approach in the pre-selection of resources

For the project of an Agile/Virtual Enterprise (A/V E) the resources selection is a key factor. The output of the selection process should be prepared to guarantee quality, efficiency and cost-attractiveness, in order to ensure the agility and integrability of the A/V E. Despite the potential of Value Analysis (VA), none of the resources selection models found in the literature incorporates the VA integration. The main objective is to quantify the selection process performance with VA integrated into the pre-selection of resources in accordance with the developed model. The paper presents through the simulation results analysis, some of the benefits of VA application: greater applicability domain for candidate resources and number of tasks; and reduction of the selection time.info:eu-repo/semantics/publishedVersio

Partner selection in virtual enterprises

Tese de doutoramento. Engenharia Industrial e Gestão. Faculdade de Engenharia. Universidade do Porto. 200

Innovation incentives and the design of value networks

Participation in value networks is vital for companies as competition has moved increasingly to the level of company networks. Consequently, the growing complexity of the globally networked business environment necessitates the use of supportive tools in the management of network relations. This Dissertation studies the value networks from two perspectives. First, as companies expect a return on their contributions to the network, the Dissertation constructs profit-sharing rules that serve as innovation incentives for the network partners. Second, the Dissertation builds models for the identification of network synergies in partner selection. The developments rest on game theory, transaction cost theory, and multi-criteria decision analysis. The results are normative in that the developed models give insight to decision-makers at three levels: (i) the company decision-maker wants to optimise the company's participation in various networks, (ii) the network decision-maker needs to incentivate the network partners to contribute to the network, and (iii) the policy-maker aims to construct socially optimal instruments for the innovation system. Overall, the use of jointly agreed profit-sharing rules and synergetic partnerships supports the attempts to reduce transaction costs, offering benefits to the firms who participate in value networks

PREdictive model for DISaster response configuration (PREDIS decision platform)

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThe extraordinary conditions of a disaster, require the mobilisation of all available resources, inducing the rush of humanitarian partners into the affected area. This phenomenon called the proliferation of actors, causes serious problems during the disaster response phase including the oversupply, duplicated efforts, lack of planning. The aim of this research is to provide a solution to reduce the partner proliferation problem. To that end the main research question is put forward as “How to reduce the proliferation of partners in a disaster response”? Panel analysis of the historic record of 4,252 natural onset disasters between 1980 to 2013 via regression analysis, MA and AHP gives rise to the formation of a predictive decision-making platform called PREDIS. It is capable of predicting the human impact of the disaster (fatality, injured, homeless) of up to 3% of errors and enables the decision makers to estimate the required needs for each disaster and prioritises them based on the disaster type and socio-economics of the affected country. It further renders it possible to rank and optimise the desired partners based on the decision maker’s preferences. Verification of the PREDIS through a simulation game design using a sample group of decision makers, show that this technique enables the user to decide within one hour after the disaster strike using the widely available data at the time of the disaster. It also enables non-experts to decide almost identically to experts in terms of the similarity of the choices and the speed of the decision.The lack of an extensive database for the potential humanitarian partners from which to choose, is the limitation of this research in addition to the lack of standardised set of minimum requirements for the suitable partners.The model is also as strong as its data feed which is inconsistent in various humanitarian sources

Partner Selection and Job Shop Scheduling for Virtual Enterprises

Ph.DDOCTOR OF PHILOSOPH