Seyyed Meysami Mousavi; Reza Tavakkoli-Moghaddam; Monir Minaee; behnam vahdani; Zainab Ghorbani
Volume 18, Issue 2 , July 2014, , Pages 195-214
Abstract
The need for flexibility in manufacturing, increased competition, and quick response to meet customer demands in the right time are the necessary subject of discussion in a manufacturing area. There are a number of reasons that affect on a flexible manufacturing system. Scheduling is one significant ...
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The need for flexibility in manufacturing, increased competition, and quick response to meet customer demands in the right time are the necessary subject of discussion in a manufacturing area. There are a number of reasons that affect on a flexible manufacturing system. Scheduling is one significant reason, and affects on a policy that has a direct connection with the dispatching rules. The selection of a rule can be based on several criteria, in which each criterion influences the interactions between them. Thus, a model for the analytical network process (ANP) is needed to find an appropriate dispatching rule. Also, due to the problem nature and uncertainty in the process of pairwise comparison and interactions between the criteria, as well as the selection of dispatching rules, there is no single exact method to be used for solving the presented model. Therefore, considering the existing characteristics in multi-criteria decision making (MCDM) under uncertainty, the ANP model with the interval-valued intuitionistic fuzzy set is used. Then selection of the dispatching rules considering the view of industry experts is done. Finally, the appropriate ranking for this selection is proposed.
Mojtaba Omidi-Rekavandi; Reza Tavakkoli-Moghaddam; Ali Ghodratnama
Volume 17, Issue 4 , January 2014, , Pages 43-63
Abstract
Nowadays, reverse logistics is one of the major activities of supply chain management that are included all of physical activities related to returned products (e.g., collection, recovery and recycle). So that, designing and implementing of appropriate reverse logistics, not only lead to increase customer ...
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Nowadays, reverse logistics is one of the major activities of supply chain management that are included all of physical activities related to returned products (e.g., collection, recovery and recycle). So that, designing and implementing of appropriate reverse logistics, not only lead to increase customer loyalty, but also it will be reduce the inventory and transportation costs. This paper presents a mixed-integer linear programming (MILP) model for the network design of forward and reverse logistics, which minimizes the costs consisting of the fixed cost, material cost and construction of the potential center cost. To validate this model, a number of test problems are generated, and then its parameters are determined. The presented model is solved by the Lingo software and the associated computational results along with the sensitivity analysis are illustrated. Additionally, the returned products with different demands for one and two products are illustrated. Finally, the remarkable conclusion is presented.
Mehdi Yazdani; Reza Tavakkoli-Moghaddam; Esmaeil Najafi
Volume 16, Issue 4 , January 2013, , Pages 19-44
Abstract
The project excellence model (PEM) evaluates projects by a comprehensive approach and measures the success and excellence of a project based on a set of pre-defined criteria. This model includes nine evaluation criteria that one of them is the “leadership” criterion. The execution responsibility ...
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The project excellence model (PEM) evaluates projects by a comprehensive approach and measures the success and excellence of a project based on a set of pre-defined criteria. This model includes nine evaluation criteria that one of them is the “leadership” criterion. The execution responsibility of leadership in projects is undertaken by project managers. In this paper, a comprehensive conceptual competency model is presented by focusing on the PEM's leadership criterion. This model suggests three general dimensions as necessary criteria for evaluating project managers, which are knowledge competency, performance competency and behavioral competency. Moreover, in this research, to achieve optimum evaluation process, a new multi-attribute decision making (MADM) method is designed integrating the Delphi and VIKOR techniques in a fuzzy environment. The proposed competency model and fuzzy hybrid evaluation method can be considered as a decision support system (DSS) that not only helps development of the project excellence level but is a move towards systematic planning and scientific decision making in the successful project management process.
