Behrooz Karimi

Bio: Behrooz Karimi is an academic researcher from Amirkabir University of Technology. The author has contributed to research in topics: Supply chain & Job shop scheduling. The author has an hindex of 36, co-authored 154 publications receiving 4227 citations. Previous affiliations of Behrooz Karimi include Arak University of Medical Sciences & Shahed University.

The capacitated lot sizing problem: a review of models and algorithms

Abstract: Lot sizing is one of the most important and also one of the most difficult problems in production planning. This subject has been studied extensively in the literature. In this article, we consider single-level lot sizing problems, their variants and solution approaches. After introducing factors affecting formulation and the complexity of production planning problems, and introducing different variants of lot sizing and scheduling problems, we discuss single-level lot sizing problems, together with exact and heuristic approaches for their solution. We conclude with some suggestions for future research.

Reverse logistics network design using simulated annealing

Abstract: Reverse logistics is becoming more important in overall industry area because of the environmental and business factors. Planning and implementing a suitable reverse logistics network could bring more profit, customer satisfaction, and a nice social picture for companies. But, most of logistics networks are not equipped to handle the return products in reverse channels. This paper proposes a mixed integer linear programming model to minimize the transportation and fixed opening costs in a multistage reverse logistics network. Since such network design problems belong to the class of NP-hard problems, we apply a simulated annealing (SA) algorithm with special neighborhood search mechanisms to find the near optimal solution. We also compare the associated numerical results through exact solutions in a set of problems to present the high-quality performance of the applied SA algorithm.

Long-term open pit mine production planning: a review of models and algorithms

Abstract: Long-term production planning (LTPP) is a large-scale optimization problem that aims to find the block extraction sequence that produces the maximum possible net present value (NPV) whilst satisfying a variety of physical and economical constraints. The economic feasibility of a mine is highly dependent upon careful LTPP. As the mining industries extract deeper and lower grade ores, LTPP is becoming a key item that can result in ceasing operations or continuing the project. Mathematical programming models are well suited to optimizing LTPP of open pit mines. These mathematical models have been studied extensively in the literature since the 1960s. The result of this study shows that there are two approaches for dealing with LTPP problems: (1) deterministic and (2) uncertainty-based approaches. This paper first discusses the deterministic algorithms and then, after an introduction to uncertainty associated with mining projects, reviews uncertainty-based algorithms. The advantages and disadvantages of these...

Deriving preference order of open pit mines equipment through MADM methods: Application of modified VIKOR method

Abstract: In multiple attribute decision making (MADM) problem, a decision maker (DM) has to choose the best alternative that satisfies the evaluation criteria among a set of candidate solutions. It is generally hard to find an alternative that meets all the criteria simultaneously, so a good compromise solution is preferred. The VIKOR method was developed for multi-criteria optimization of complex systems. This method focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. It introduces the multi-criteria ranking index based on the particular measure of ''closeness'' to the ''ideal'' solution. To deal with the uncertainty and vagueness from humans' subjective perception and experience in decision process, this paper presents an evaluation model based on deterministic data, fuzzy numbers, interval numbers and linguistic terms. Combination of analytic hierarchy process (AHP) and entropy method was applied for attribute weighting in this proposed MADM method. To demonstrate the potential of the methodology, the proposed method is used for surface mine equipment selection problems.

The Design and Analysis of Experiments

Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON