キイロショウジョウバエノコンセキシケイシツニカンスルイデンガクテキケンキュウ

京都大学0048新制・論文博士理学博士乙第922号論理博第196号新制||理||82(附属図書館)1636UT51-51-L195(主査)教授 中村 健児, 教授 市川 衞, 教授 池田 次郎学位規則第5条第2項該当Kyoto UniversityDA

Management of a Disassembly Line using Two Types of Kanbans

The continuous growth in consumer waste has seriously threatened the environment. For this reason, environment conscious manufacturing has emerged to be an important attribute that has been embraced by companies to support the environmental laws, social responsibilities as well as profitability resulting in increased awareness of product recovery. One of the first operations in product recovery is disassembly which involves the separation of the desired components, subassemblies, and materials from end-of-life or returned products. A disassembly line is perhaps the most suitable setting for disassembly of products in large quantities. In this paper, a multi-kanban mechanism using two types of kanbans, viz., a component kanban and a subassembly kanban, is used to control the disassembly line. We consider an example from the automobile industry to illustrate the methodology and investigate the fluctuations in components and subassemblies inventories, average waiting times and backorder rates using simulation. The results demonstrate the effectiveness of utilizing the multi-kanban mechanism in a disassembly line

Eigenvalue Distributions of Wigner and Wishart Ensembles of Sparse Vinberg Models

ISM Online Open House, 2021.6.18統計数理研究所オープンハウス（オンライン開催）、R3.6.18ポスター発