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

The Design and Analysis of Experiments

Hawaii International Conference on System Sciences

Purpose




The European Journal of Marketing was created in 1967. In 2017, the journal celebrates its 50th anniversary. Therefore, the purpose of this study is to present a bibliometric overview of the leading trends of the journal during this period.




Design/methodology/approach




This work uses the Scopus database to analyse the most productive authors, institutions and countries, as well as the most cited papers and the citing articles. The investigation uses bibliometric indicators to represent the bibliographic data, including the total number of publications and citations between 1967 and 2017. Additionally, the article also develops a graphical visualization of the bibliographic material by using the visualization of similarities viewer software to map journals, keywords and institutions with bibliographic coupling and co-citation analysis.




Findings




British authors and institutions are the most productive in the journal, although Australians’ are growing significantly the number of papers published. Continental European institutions are also increasing the number of publications, but they are still far from reaching the British contribution so far. In the mid-term, however, these zone’s authors and institutions, especially those from big European countries like France, Germany, Italy and Spain, should reach a closer performance to British ones; more as less long, historic, but more recent periods of analysis are considered.




Practical implications




This article is useful for any reader of this journal to understand questions such as papers’ European Journal of Marketing-related scientific productivity in terms of, for instance, contributors/authors, institutions and countries, or the main sources used to back them.




Originality/value




This is the first comprehensive article offering a general overview of the leading trends and researchers of the journal over its history.

Fifty years of the European Journal of Marketing: a bibliometric analysis

Owing to its inherent modeling flexibility, simulation is often regarded as the proper means for supporting decision making on supply chain design. The ultimate success of supply chain simulation, however, is determined by a combination of the analyst's skills, the chain members' involvement, and the modeling capabilities of the simulation tool. This combination should provide the basis for a realistic simulation model, which is both transparent and complete. The need for transparency is especially strong for supply chains as they involve (semi)autonomous parties each having their own objectives. Mutual trust and model effectiveness are strongly influenced by the degree of completeness of each party's insight into the key decision variables. Ideally, visual interactive simulation models present an important communicative means for realizing the required overview and insight. Unfortunately, most models strongly focus on physical transactions, leaving key decision variables implicit for some or all of the parties involved. This especially applies to control structures, that is, the managers or systems responsible for control, their activities and their mutual attuning of these activities. Control elements are, for example, dispersed over the model, are not visualized, or form part of the time-indexed scheduling of events. In this article, we propose an alternative approach that explicitly addresses the modeling of control structures. First, we will conduct a literature survey with the aim of listing simulation model qualities essential for supporting successful decision making on supply chain design. Next, we use this insight to define an object-oriented modeling framework that facilitates supply chain simulation in a more realistic manner. This framework is meant to contribute to improved decision making in terms of recognizing and understanding opportunities for improved supply chain design. Finally, the use of the framework is illustrated by a case example concerning a supply chain for chilled salads.

A modeling framework for supply chain simulation: opportunities for improved decision-making

Knowledge management: A global examination based on bibliometric analysis

Forty years of Computers & Industrial Engineering: A bibliometric analysis

Multi-AGV scheduling for conflict-free path planning in automated container terminals

An integrated scheduling method for AGV routing in automated container terminals

With an immense increase in research, development, and application of object- oriented simulation (OOS) over the past decade, there is evidence that this technology is becoming the choice for model...

Yasser Dessouky

Papers

Forty years of Computers & Industrial Engineering: A bibliometric analysis

Multi-AGV scheduling for conflict-free path planning in automated container terminals

An integrated scheduling method for AGV routing in automated container terminals

An Overview of Object-Oriented Simulation:

A simulation and design of experiments modeling approach to minimize building maintenance costs