Nowadays companies should respond and satisfy the customer needs effectively and quickly to establish a position in the competitive market. One of the ways of achieving these goals is the outsourcing their some manufacturing operations to contract manufacturers. Outsourcing manufacturing operation to contract manufacturers decreases the operational cost, increases the profit and provides the flexibility of production capability. So the selecting a contract manufacturer for a company is an important problem that must be dealt very carefully. This selection is influenced by quantitative and qualitative criteria and it is handled as Multi Criteria Decision Making (MCDM) problem. In this paper, CRITIC (CRiteria Importance Through Intercriteria Correlation) and MAUT (Multi Attribute Utility Theory) methods are applied to the contract manufacturer selection problem. The weights of the contract manufacturer selection criteria are derived from CRITIC method whereas the complete ranking of the contract manufacturer alternatives are obtained by using MAUT. Finally the results are discussed.

The aim of this study was to measure the direct and indirect costs and factors influencing these costs in patients presenting following traumatic hand injury. We assessed patients aged 18-65 years who were in work. Hand injury severity and functional status were assessed. Direct costs, including medical care expenses, and indirect costs, including lost productivity, were calculated. Seventy-nine patients of a mean age of 32 years were included. The mean direct cost for each patient was $1772 (47% of total cost), and the indirect cost was $1891 (53% of total cost). Injury severity, time to return to work, and hospitalization time were the main parameters of increased total cost in a linear regression analysis.

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A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multiobjective optimization on the basis of simple ratio analysis (MOOSRA) which are relatively new multi-objective optimization methods. The novelty of this paper is solving this problem with the MULTIMOORA and MOOSRA methods for the first time.