Decision Making in Manufacturing and Services
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ISSN 1896-8325
e-ISSN: 2300-7087
Issue Date
2010
Volume
Vol. 4
Number
No. 1/2
Description
Journal Volume
Decision Making in Manufacturing and Services
Vol. 4 (2010)
Projects
Pages
Articles
Coordinating contracts in SCM review of methods and literature
(2010) Hezarkhani, Behzad; Kubiak, Wiesław
Supply chain coordination through contracts has been a burgeoning area of research in recent years. In spite of rapid development of research, there are only a few structured analyses of assumptions, methods, and applicability of insights in this field. The aim of this paper is to provide a systematic overview of coordinating contracts in supply chain through highlighting the main concepts, assumptions, methods, and present the state-of-theart research in this field.
Ant algorithm for AP-N aimed at optimization of complex systems
(2010) Mikulik, Jerzy; Zajdel, Mirosław
Assignment Problem (AP), which is well known combinatorial problem, has been studied extensively in the course of many operational and technical researches. It has been shown to be NP-hard for three or more dimensions and a few non-deterministic methods have been proposed to solve it. This paper pays attention on new heuristic search method for the n-dimensional assignment problem, based on swarm intelligence and comparing results with those obtained by other scientists. It indicates possible direction of solutions of problems and presents a way of behaviour using ant algorithm for multidimensional optimization complex systems. Results of researches in the form of computational simulations outcomes are presented.
A reference point method to triple-objective assignment of supporting services in a healthcare institution
(2010) Sawik, Bartosz
This paper presents an application of mixed integer programming model for optimal allocation of workers among supporting services in a hospital. The services include logistics, inventory management, financial management, operations management, medical analysis, etc. The optimality criterion of the problem is to minimize operational costs of supporting services subject to some specific constraints. The constraints represent specific conditions for resource allocation in a hospital. The overall problem is formulated as a triple-objective assignment model, where the decision variables represent the assignment of people to various jobs. A reference point approach with the Chebyshev metric is applied for the problem solution. The results of computational experiments modeled on a real data from a hospital in Lesser Poland are reported.
A bi-objective portfolio optimization with conditional value-at-risk
(2010) Sawik, Bartosz
This paper presents a bi-objective portfolio model with the expected return as a performance measure and the expected worst-case return as a risk measure. The problems are formulated as a bi-objective linear program. Numerical examples based on 1000, 3500 and 4020 historical daily input data from the Warsaw Stock Exchange are presented and selected computational results are provided. The computational experiments prove that the proposed linear programming approach provides the decision maker with a simple tool for evaluating the relationship between the expected and the worst-case portfolio return.
Analogous forecasting of products with a short life cycle
(2010) Szozda, Natalia
Managing a supply chain for products with a short life cycle, like fashion apparel, high-tech, personal computers, toys, CD's etc., is challenging for many companies (Fisher and Raman, 1999). Because the life cycles of these products are too short for standard time-series forecasting methods (not longer than one - two years), an important way of overcoming the challenges of managing supply chains for such products is to find appropriate forecasting methodologies. The standard forecasting methods require some historical data, which are often unavailable at the time when the forecasts are being performed for products with a short life cycle (Lin, 2005). The method described in this article allows forecasters to use life cycles of similar, analogous products to arrive at the initial forecasts for the product(s) at hand.