Masoud Rahiminezhad Galankashi

Bio: Masoud Rahiminezhad Galankashi is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Supply chain & Lean manufacturing. The author has an hindex of 12, co-authored 38 publications receiving 544 citations. Previous affiliations of Masoud Rahiminezhad Galankashi include Buein Zahra Technical University & Tarbiat Modares University.

Supplier Selection: A Fuzzy-ANP Approach

Abstract: The main goal of this paper is to develop a framework to support the supplier selection process in an Iranian automotive industry. Although numerous criteria are being used for the selection of suitable supplier, selection of the critical factors in conformance to the specification of the automotive industries is less investigated. In order to fill this gap, this research was carried out to systematically propose a framework comprising of the most critical factors for the aim of supplier selection. A literature survey was conducted and measures for assessing the suppliers were extracted. Nominated Group Technique (NGT) was deployed to extract the most critical performance measures from the initial list. Seven measures were found to be proper for the supplier selection process. A Fuzzy Analytical Network Process (FANP) was then proposed to weight the extracted measures and determine their importance level. The model was then implemented to assist an automotive company for the aim of its supplier selection.

Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach

Abstract: This study proposed an integrated Balanced Scorecard–Fuzzy Analytic Hierarchical Process (BSC–FAHP) model to select suppliers in the automotive industry. In spite of the vast amount of studies on supplier selection, the evaluation and selection of suppliers using the specific measures of the automotive industry are less investigated. In order to fill this gap, this research proposed a new BSC for supplier selection of automobile industry. Measures were gathered using a literature survey and accredited using Nominal Group Technique (NGT). Finally, a fuzzy AHP was used to select the best supplier.

Portfolio selection: a fuzzy-ANP approach

Abstract: This study developed specific criteria and a fuzzy analytic network process (FANP) to assess and select portfolios on the Tehran Stock Exchange (TSE). Although the portfolio selection problem has been widely investigated, most studies have focused on income and risk as the main decision-making criteria. However, there are many other important criteria that have been neglected. To fill this gap, first, a literature review was conducted to determine the main criteria for portfolio selection, and a Likert-type questionnaire was then used to finalize a list of criteria. Second, the finalized criteria were applied in an FANP to rank 10 different TSE portfolios. The results indicated that profitability, growth, market, and risk are the most important criteria for portfolio selection. Additionally, portfolios 6, 7, 2, 4, 8, 1, 5, 3, 9, and 10 (A6, A7, A2, A4, A8, A1, A5, A3, A9, and A10) were found to be the best choices. Implications and directions for future research are discussed.

Assessment of hybrid Lean-Agile (Leagile) supply chain strategies

Abstract: Purpose – The purpose of this paper is to propose a new assessment tool for Leagility. Design/methodology/approach – This research was carried out to systematically propose the operational activities of Leagile supply chains (SCs) with regard to SC drivers. Particularly, SC logistic (facility, transportation and inventory) and cross-functional drivers (information, sourcing and pricing) were selected to classify all operational activities of Leagile SCs. Findings – This study proposed a new framework to evaluate the operational activities of Leagile SCs. Operational activities of Leagile supply chain strategy were determined and categorized with regard to SC drivers. These activities were ranked using an analytic hierarchy process and were then categorized using a cycle view of SC. Originality/value – This study contributed in proposing operational activities of Leagile SC based on its major drivers. The result of this study assist managers, scholars and practitioners to construct new Leagile SCs or asses...

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

Have individual stocks become more volatile : an empirical exploration of idiosyncratic risk

Abstract: This paper examines the volatility of common stocks of the Athens Stock Exchange at the market, industry and firm level. Over the period from 1988 to 2009 there has been a considerable increase in firm-level volatility relative to the market volatility, which implies that it takes increasingly more stocks to diversify away idiosyncratic risk. All volatility series move together and they are trended upwards. All three volatility measures show a countercyclical behaviour relative to GDP growth, and they all help to forecast GDP. Correlations among individual stocks have increased over the sample period, yet the explanatory power of the market model for a typical stock is still relatively low. All three volatility series rise during times of low returns. Factors that may be responsible for these findings are suggested.

Measuring Supply Chain Performance

Abstract: The purpose of this book is to measure and evaluate the supply chain performance of the Volta Aluminium Company and upon the results, make recommendations and suggestions to the management, which can assist also other companies in their decision-making. Once that actually, companies operate their business in an increasingly changeable and unpredictable enviroment, where competition assumes global scale, they need to look for new ideals, new tools and new methods. The proposed framework grounds on the Methodology of performance measuring systems, plying to the measurement of both tangible and intangible assets, and also measuring supply chain performance internally and externally. The framework developed enhance the use of a group of metrics across all organisations, this metrics are a fundamental part of a measuring system adapted to strategy, goals, key performance areas, process elements and activities, enabling evaluating defined goals, leading to decisions making and the implementation of improvement actions.