Part logistics in the automotive industry: Decision problems, literature review and research agenda

被引：156

作者：

Boysen, Nils ^{[1
]}

Emde, Simon ^{[1
]}

Hoeck, Michael ^{[2
]}

Kauderer, Markus ^{[3
]}

机构：

[1] Univ Jena, Lehrstuhl Operat, D-07743 Jena, Germany

[2] Tech Univ Bergakad Freiberg, Lehrstuhl Ind Betriebslehre Prod Wirtschaft, D-09596 Freiberg, Germany

[3] BMW Grp, D-80788 Munich, Germany

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2015年 / 242卷 / 01期

关键词：

Automotive industry; Just-in-time; Part logistics; Survey; INVENTORY RELEASING JOBS; VEHICLE-ROUTING PROBLEM; ASSEMBLY LINES SURVEY; CROSS-DOCKING; AUTOMATED STORAGE; GENETIC ALGORITHM; ALLOCATING SPACE; FACILITY LAYOUT; OUTBOUND TRUCKS; PRODUCT VARIETY;

D O I：

10.1016/j.ejor.2014.09.065

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

With the ongoing trend of mass-customization and an increasing product variety, just-in-time part logistics more and more becomes one of the greatest challenges in today's automobile production. Thousands of parts and suppliers, a multitude of different equipments, and hundreds of logistics workers need to be coordinated, so that the final assembly lines never run out of parts. This paper describes the elementary process steps of part logistics in the automotive industry starting with the initial call order to the return of empty part containers. In addition to a detailed process description, important decision problems are specified, existing literature is surveyed, and open research challenges are identified. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：107 / 120

页数：14

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