Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

    Ali Kimiagari

    ... In WSEAS 8th international conference on fuzzy system (Periodical style—Accepted for publication),” Vancouver, CANADA: WSEAS. [5] G.Montazer , HG Saremi and M.Ramezani (2009). ... Shahram Pejmannia was born in Tehran-Iran on 30th May... more
    ... In WSEAS 8th international conference on fuzzy system (Periodical style—Accepted for publication),” Vancouver, CANADA: WSEAS. [5] G.Montazer , HG Saremi and M.Ramezani (2009). ... Shahram Pejmannia was born in Tehran-Iran on 30th May 1974. ...
    ABSTRACT The more common approaches used in the SCM consider only the physical logistic operations and ignore the financial aspects of the chain. This paper presents a financial approach to model a closed-loop supply chain design in which... more
    ABSTRACT The more common approaches used in the SCM consider only the physical logistic operations and ignore the financial aspects of the chain. This paper presents a financial approach to model a closed-loop supply chain design in which financial aspects are explicitly considered as exogenous variables. The model decides to determine the strategic decisions as well as the tactical decisions. The main contribution of this paper is to incorporate the financial aspects (i.e. current and fixed assets and liabilities) and a set of budgetary constraints representing balances of cash, debt, securities, payment delays, and discounts in the supply chain planning. Moreover, the financial approach applies the change in equity (instead of the measure of profit/cost in traditional approaches) as the objective function to be optimized in the presented model. To show the advantages of the presented approach, the results attributed to the financial approach and the traditional approach are compared, where the latter firstly decides on operations and fits finances afterwards. The results indicate that the traditional approach leads to lower change in equity compared to the financial approach. This fact illustrates the inadequacy of treating process operations and finances in isolated environments and pursuing as objective myopic performance indicators such as profit or cost. Moreover, a sensitivity analysis of the parameters using ANOVA for different levels of the parameters under different customer order patterns is performed to enhance the managerial insights of the study. The results clearly reveal the better improvement of using the financial approach over the traditional approach, and convince the decision makers to take advantage of the proposed approach.
    G-1 Queries Mixing Positive and Negative Associations and their Weakening Patrick Bosc and Olivier Pivert G-2 The Fuzzy Reliable Hub Location Problem Soheil Davari, Mohammad Hossein Fazel Zarandi and I. Burhan Turksen G-3 On the Division... more
    G-1 Queries Mixing Positive and Negative Associations and their Weakening Patrick Bosc and Olivier Pivert G-2 The Fuzzy Reliable Hub Location Problem Soheil Davari, Mohammad Hossein Fazel Zarandi and I. Burhan Turksen G-3 On the Division of Bipolar Fuzzy Relations Patrick Bosc and Olivier Pivert G-4 A Data-Driven Genetic Neuro-Fuzzy System to PVT Properties Prediction Amar Khoukhi and Saeed Alboukhitan G-6 Aspects of object merging Antoon Bronselaer and Guy De Tre G-8 Genetic algorithms for fuzzy multi-objective approach to portfolio ...
    ABSTRACT Designing a logistic network is a strategic and critical problem that provides an optimal platform for the effective and efficient supply chain management. In this research, we address the application of fuzzy sets to design a... more
    ABSTRACT Designing a logistic network is a strategic and critical problem that provides an optimal platform for the effective and efficient supply chain management. In this research, we address the application of fuzzy sets to design a multi-product, multi-period, closed-loop supply chain network. The presented supply chain includes three objective functions: maximization of profit, minimization of delivery time, and maximization of quality. In the context of fuzzy mathematical programming, the paper jointly considers fuzzy/flexible constraints for fuzziness, fuzzy coefficients for lack of knowledge, and fuzzy goal of decision maker(s). According to fuzzy components considered, a fuzzy optimization approach is adopted to convert the proposed fuzzy multi-objective mixed-integer linear program into an equivalent auxiliary crisp model to obtain the relevant solutions. Finally, the numerical experiments are given to demonstrate the significance of the proposed model as well as the solution approach.