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Masaru Nakano

Researcher at Keio University

Publications -  101
Citations -  1163

Masaru Nakano is an academic researcher from Keio University. The author has contributed to research in topics: Supply chain & Bottleneck. The author has an hindex of 17, co-authored 97 publications receiving 1062 citations. Previous affiliations of Masaru Nakano include Hitachi & Toyota.

Papers
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Proceedings ArticleDOI

Shifting bottleneck detection

TL;DR: In this article, the authors proposed a method for detecting bottlenecks in manufacturing systems and the shifting of these bottlenecked machines. But, finding the bottleneck is no trivial task, and the system may change over time or due to random events, and subsequently the bottleneck may shift from one machine to another machine.
Proceedings ArticleDOI

A practical bottleneck detection method

TL;DR: A novel method for detecting the bottleneck in a discrete event system by examining the average duration of a machine being active for all machines, distinguishing between bottleneck machines and non-bottleneck machines with a high level of confidence.
Journal ArticleDOI

Towards a Circular Economy for End-of-Life Vehicles: A Comparative Study UK – Japan☆

TL;DR: In this paper, a comparative analysis between the United Kingdom and Japan is undertaken, in which the two countries' contextual background is described along with their RRR performance from a lifecycle perspective.
Patent

Apparatus for detecting the collision of moving objects

TL;DR: In this article, a hierarchical sphere model generator for modeling the surfaces of each object by hierarchically covering the surfaces with spheres having various radii on the basis of the face information is presented.
Patent

Apparatus for visual recognition

TL;DR: In this paper, a basic image of objects is extracted from a two-dimensional image and geometrical elements of the objects are extracted from the extracted basic image, and the objects to be recognized are identified by searching a combination of the geometric elements which match a geometric model.