Economic Control of Quality of Manufactured Product.

Polyphasic taxonomy, a consensus approach to bacterial systematics.

Brucellosis remains a major zoonosis worldwide Although many countries have eradicated Brucella abortus from cattle, in some areas Brucella melitensis has emerged as a cause of infection in this species as well as in sheep and goats Despite vaccination campaigns with the Rev 1 strain, B melitensis remains the principal cause of human brucellosis Brucella suis is also emerging as an agent of infection in cattle, thus extending its opportunities to infect humans The recent isolation of distinctive strains of Brucella from marine mammals has extended its ecologic range Molecular genetic studies have demonstrated phylogenetic affiliation to Agrobacterium, Phyllobacterium, Ochrobactrum, and Rhizobium Polymerase chain reaction and gene probe development may provide more effective typing methods Pathogenicity is related to production of lipopolysaccharides containing a poly N-formyl perosamine O chain, CuZn superoxide dismutase, erythrlose phosphate dehydrogenase, stress-induced proteins related to intracellular survival, and adenine and guanine monophosphate inhibitors of phagocyte functions Protective immunity is conferred by antibody to lipopolysaccharide and T-cell-mediated macrophage activation triggered by protein antigens Diagnosis still centers on isolation of the organism and serologic test results, especially enzyme immunoassay, which is replacing other methods Polymerase chain reaction is also under evaluation Therapy is based on tetracyclines with or without rifampicin, aminoglycosides, or quinolones No satisfactory vaccines against human brucellosis are available, although attenuated purE mutants appear promising

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Brucellosis: an overview.

Project scheduling under uncertainty: survey and research potentials

http://web.nchu.edu.tw/pweb/users/arborfish/lesson/8682.pdf

A survey of variants and extensions of the resource-constrained project scheduling problem

The book gives an introduction to the world of mathematical programming and data analytics and is mainly written for M.Sc. and MBA students at Ghent University, Vlerick Business School and UCL School of Management of University College London. On top of that, the book also contains an overview of research studies and company applications of data-driven modelling technique developed by the Operations Research & Scheduling group, which makes the book potentially relevant for researchers and professionals interested in the new data-driven management approach. The book is free for download via the OR-AS site and will be updated on a regular basis upon requests and comments of the readers.

Taking sound business decisions: From rich data to better solutions

Baseline scheduling and risk analysis go hand in hand and are crucial preparatory dimensions to provide information for the project control phase. One of the central lessons in training sessions to project managers is that scheduling without any form of risk management makes no sense since it then boils down to an academic and deterministic optimization exercise without much real life value. A project schedule is a dynamic instrument that needs to be adapted when necessary. Project managers have to deal with a continuous stream of unexpected events and need to take corrective actions to bring projects back on track or to update the initial estimates and expectations to a more realistic scenario. In that respect, a dynamic project schedule is the ideal tool to provide information and to support the corrective actions, and hence, the project baseline schedule acts as a point-of-reference to support these actions, rather than a forecast of the future that needs to be followed at all times.

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Integrated project controls: using operations research methods to improve the efficiency of project control

In this study, an Invasive Weed Optimization (IWO) algorithm for the resource availability cost problem is presented, in which the total cost of the (unlimited) renewable resources required to complete the project by a pre-specified project deadline should be minimized. The IWO algorithm is a new search strategy, which makes use of mechanisms inspired by the natural behavior of weeds in colonizing and finding a suitable place for growth and reproduction. All algorithmic components are explained in detail and computational results for the RACP are presented.

/pdf/an-invasive-weed-optimization-algorithm-for-the-resource-40qoy8izwr.pdf

Mario Vanhoucke

Papers

Taking sound business decisions: From rich data to better solutions

Integrated project controls: using operations research methods to improve the efficiency of project control

An invasive weed optimization algorithm for the resource availability cost problem

Population based meta-heuristic approaches for the resource-constrained project scheduling problem

An electromagnetism meta-heuristic for project scheduling