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The relationship between MAUT and AHP for three-level hierarchic structures is demonstrated based on a common framework interpreting multiattribute decision making techniques. A theorem showing the conditions under which two multiattribute decision making techniques result in a consistent preference structure is proved. It can be justified based on this theorem that the rank reversal problem in...
In many developed countries, today's socioeconomic environment has expanded the role of the technical manager. Organizations capable of recruiting technical managers with adequate management education and interpersonal skills, in addition to technical expertise, are more likely to be successful in managing their limited resources. A technical manager's success is also dependent on the manager's...
In this paper we present a real-world case study involving the re-location of a combined manufacturing and distribution (warehousing) facility. The relocation decision was called to adapt to dynamic changes in business environments surrounding the firm's supply chain operations. Such changes include changes in supplier and customer bases, distribution networks, corporate re-engineering, business climate...
A methodology is developed for ranking entry mode alternatives encountered by individual firms considering foreign direct investment (FDI). The methodology deals with the risks and uncertainties related to FDI. The analytic hierarchy process (AHP) is used to solve the multiple criteria decision-making problem using input from a firm's management. A simulation approach is incorporated into the AHP...
In the search for a unifying theory in the field of multicriteria decision making, we establish a relationship in the discrete case between two of the most extended multicriteria decision making approaches, namely the Analytic Hierarchy Process (AHP) and the Compromise Programming (CP) Models. In order to link them, we consider a hierarchical modelling of the CP where the order of the norm equals...
The main objective of this paper is to present a new fuzzy approach to partnership selection in the formation of virtual enterprises. The phases of the virtual enterprise life cycle are briefly described and it is shown that the partnership selection is a key factor in the formation of such complex organisations. It is justified that the partnership selection process should be formulated as a multiple...
In the literature, decision support systems (DSSs) have typically been evaluated on only a single criterion such as the outcome from decision making. However, it is clear that DSSs simultaneously have a critical impact on the process-oriented aspects of decision making, suggesting that a combination of both outcome and process criteria are highly relevant for DSS evaluation. Indeed, process characteristics...
This paper develops a hybrid genetic algorithm for production and distribution problems in multi-factory supply chain models. Supply chain problems usually may involve multi-criterion decision-making, for example operating cost, service level, resources utilization, etc. These criteria are numerous and interrelated. To organize them, analytic hierarchy process (AHP) will be utilized. It provides a...
Global supplier development is a multi-criterion decision problem which includes both qualitative and quantitative factors. The global supplier selection problem is more complex than domestic one and it needs more critical analysis. The aim of this paper is to identify and discuss some of the important and critical decision criteria including risk factors for the development of an efficient system...
A probability assessment framework is outlined for an organizational decision involving a conditioning event (CE). The decision may, for example, involve a new-product launch (strategic decision) dependent on the outcome of market research (CE). The framework illustrates how Bayesian revision could be employed as related “news” arrives intermittently to revise current probabilities prior to decision...
Competition and demand volatility often cause modern enterprises to be confronted by uncertain environments. When a firm manages revenue in such competitive and risky environments, the optimization of pricing and capacity allocation, subject to a fixed time and capacity, becomes a complicated problem. Many previous papers concerning revenue management (RM) and pricing require that the firm possesses...
The nature of competition in the high-technology manufacturing industry has changed dramatically over the last two decades, and any of the traditional indicators of business performance are insufficient today. We have identified a new set of financial and non-financial performance indicators that can be used by high-tech manufacturing companies and have developed a business performance evaluation...
Deriving weights from pairwise comparison matrices (PCM) is a highly researched topic. The analytic hierarchy process (AHP) traditionally uses the eigenvector method for the purpose. Numerous other methods have also been suggested. A distinctive feature of all these methods is that they associate a quantitative meaning to the judgemental information given by the decision-maker. In contrast, the verbal...
Formal models that support multi-criteria decision making represent a strongly growing area in sustainable supply chain management research. However, uncertainties and risks are seldom considered in quantitative models for green supply chain (SC) design. The paper at hand suggests a hybrid approach to configure an eco-efficient SC for a new product under consideration of economic and environmental...
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