Papers by maysam ashrafzadeh
Warehouse location selection is a multi-criteria decision problem including both quantitative and... more Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional methods for warehouse location selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, fuzzy multi-criteria decision-making methods are proposed. In this paper, we present a multi-criteria decision making approach for selecting warehouse location under partial or incomplete information (uncertainty). The proposed approach comprises of two steps. In step 1, we identify the criteria and sub-criteria for warehouse location selection to design the fuzzy analytical hierarchy process tree structure. In step 2, fuzzy analytic hierarchy process (FAHP) is used in determining of the weights of the main criteria, sub-criteria and alternatives by decision makers and then selection of the best alternative. This paper shows a successful application of fuzzy analytic hierarchy process to a real warehouse location selection problem of a big company in Iran.
Warehouse location selection is a multi-criteria decision problem including both quantitative and... more Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional approaches to warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. Under many situations, the values of the qualitative criteria are often imprecisely defined for the decision-makers. To overcome this difficulty, fuzzy multi-criteria decision-making methods are proposed. In this paper, we present a multi-criteria decision making approach for selecting warehouse location under partial or incomplete information (uncertainty). The proposed approach comprises of two steps. In step 1, we identify the criteria for warehouse location selection. In step 2, experts provide linguistic ratings to the potential alternatives against the selected criteria. Fuzzy TOPSIS is used to generate aggregate scores selection of best alternative. This paper shows a successful application of fuzzy TOPSIS to a real warehouse location selection problem of a big company in Iran.
Preemption in multi-mode Resource-constrained project scheduling problem Zahra Zare* Department o... more Preemption in multi-mode Resource-constrained project scheduling problem Zahra Zare* Department of Industrial Engineering Najafabad Branch, Islamic Azad University, Isfahan, Iran Postal Code: 71767-13763, Unit 3, No 142, 6 Alley, South Bahonar St., Shiraz, Iran Abdulreza Naddaf Department of Management Shiraz University, Shiraz, Iran Maysam Ashrafzadeh Department of Industrial Engineering Najafabad Branch, Islamic Azad University, Isfahan, Iran Mohammad Reza Salehi Department of Industrial Engineering Najafabad Branch, Islamic Azad University, Isfahan, Iran Abstract In this paper we present a new mathematical model for the preemptive multi-mode resource-constrained project scheduling problem (P.MRCPSP), in which multiple execution modes are available for each of the activities of the project. We also introduce the preemptive extension of the problem which allows activity splitting. The objective is minimization the makespan.
Warehouse location selection is a multi-criteria decision problem including both quantitative and... more Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional approaches to warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. Under many situations, the values of the qualitative criteria are often imprecisely defined for the decision-makers. To overcome this difficulty, fuzzy multi-criteria decision-making methods are proposed. In this paper, we present a multi-criteria decision making approach for selecting warehouse location under partial or incomplete information (uncertainty). The proposed approach comprises of two steps. In step 1, we identify the criteria for warehouse location selection. In step 2, experts provide linguistic ratings to the potential alternatives against the selected criteria. Fuzzy TOPSIS is used to generate aggregate scores selection of best alternative. This paper shows a successful application of fuzzy TOPSIS to a real warehouse location selection problem of a big company in Iran.
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Papers by maysam ashrafzadeh