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M Maryam SteadieSeifi

Bio: M Maryam SteadieSeifi is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Facility location problem & Strategic financial management. The author has an hindex of 4, co-authored 6 publications receiving 970 citations.

Papers
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Journal ArticleDOI
TL;DR: A review on recent efforts and development in multi-criteria location problems in three categories including bi-objective, multiobjective and multi-attribute problems and their solution methods is provided in this article.

551 citations

Journal ArticleDOI
TL;DR: This paper presents a structured overview of the multimodal transportation literature from 2005 onward, where it focuses on the traditional strategic, tactical, and operational levels of planning, where the relevant models and their developed solution techniques are presented.

531 citations

Journal ArticleDOI
TL;DR: A Mixed Integer Programming (MIP) optimization model which is an extension of the Fixed-charge Capacitated Multicommodity Network Flow Problem (FCMNFP) and an Adaptive Large Neighborhood Search (ALNS) algorithm with new neighborhoods, and intensification and diversification strategies are proposed.
Abstract: We study a transportation planning problem with multiple transportation modes, perishable products, and management of Reusable Transport Items (RTIs). This problem is inspired by the European horticultural chain. We present a Mixed Integer Programming (MIP) optimization model which is an extension of the Fixed-charge Capacitated Multicommodity Network Flow Problem (FCMNFP). The MIP integrates dynamic allocation, flow, and repositioning of the RTIs in order to find the trade-off between product freshness requirements, and operational circumstances and costs. We furthermore propose an Adaptive Large Neighborhood Search (ALNS) algorithm with new neighborhoods, and intensification and diversification strategies. We then provide detailed computational analysis on its properties, compare its results with a state-of-the-art MIP solver, and provide practical insights.

13 citations

Book ChapterDOI
01 Jan 2009
TL;DR: The multi-criteria decision-making (MCDM) will be faced with the challenge of selecting a possible subset of decisions from all the available alternatives (feasible space) in this situation.
Abstract: Decision-making is the process of selecting a possible subset of decisions from all the available alternatives (feasible space). We introduced many decision-making models including one objective function, so far. Almost there are many criteria for judging the optimality of decision. In this situation, we will be faced with the multi-criteria decision-making (MCDM).

6 citations

Book ChapterDOI
01 Jan 2011
TL;DR: In this article, the authors take a look at different kinds of logistics decisions, especially investigate the strategic ones, and introduce important tools of strategic decision making, including customer service, network design, and outsourcing versus vertical integration.
Abstract: Logistics has an important economic role because it swallows the biggest part of capital and supports the flow and movement of many economic transactions. Therefore, designing the best logistics strategies is vital. In this chapter, we take a look at different kinds of logistics decisions, especially investigate the strategic ones. First, we define strategy and its levels, and then we explain strategic planning in a business. There are three levels for logistics decision: strategic, tactical, and operational. Each one is defined in this chapter. Because the focus of this chapter is on logistics strategic decisions, we introduce their main categories: customer service, logistics network design, and, last but not least, outsourcing versus vertical integration. An entire book can be devoted to each category, but here we offer a brief description for each one. In addition, we introduce important tools of strategic decision making. Moroever, at the end of this chapter, we describe the term flexibility in logistics decision making. We indicate that future logistics systems and platforms are not optimized to minimize cost minimization but to maximize strategic flexibility.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: A review on recent efforts and development in multi-criteria location problems in three categories including bi-objective, multiobjective and multi-attribute problems and their solution methods is provided in this article.

551 citations

Journal ArticleDOI
TL;DR: This survey tries to review all aspects of the covering problems by stressing the works after Schilling, Jayaraman, and Barkhi (1993).

540 citations

Journal ArticleDOI
TL;DR: In this article, the authors propose a method for solving the p-center problem on trees and demonstrate the duality of covering and constraining p-Center problems on trees.
Abstract: Ingredients of Locational Analysis (J. Krarup & P. Pruzan). The p-Median Problem and Generalizations (P. Mirchandani). The Uncapacitated Facility Location Problem (G. Cornuejols, et al.). Multiperiod Capacitated Location Models (S. Jacobsen). Decomposition Methods for Facility Location Problems (T. Magnanti & R. Wong). Covering Problems (A. Kolen & A. Tamir). p-Center Problems (G. Handler). Duality: Covering and Constraining p-Center Problems on Trees (B. Tansel, et al.). Locations with Spatial Interactions: The Quadratic Assignment Problem (R. Burkard). Locations with Spatial Interactions: Competitive Locations and Games (S. Hakimi). Equilibrium Analysis for Voting and Competitive Location Problems (P. Hansen, et al.). Location of Mobile Units in a Stochastic Environment (O. Berman, et al.). Index.

451 citations

Journal ArticleDOI
TL;DR: The aim is to investigate how ELECTRE and ELECTRE-based methods have been considered in various areas, including area of applications, modifications to the methods, comparisons with other methods, and general studies of the ELECTRE methods.

419 citations

Journal ArticleDOI
01 Jun 2012-Energy
TL;DR: In this paper, an STEEP-fuzzy AHP-TOPSIS based framework for evaluation and selection of optimal locations for thermal power plant (TPPs) is proposed, where potential feasible locations are identified based on social, technical, economical, environmental, and political (STEEP) considerations.

340 citations