An empirical analysis of warehouse measurement systems in the context of supply chain implementation

被引:0
|
作者
Kiefer, AW [1 ]
Novack, RA [1 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
关键词
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Supply Chain Management (SCM) is one of the most popular management concepts to impact business and the logistics concept in the 1990s. Problems facing the concept of SCM include (1) the lack of research on what it means to practice SCM, (2) how to implement a SCM program, and (3) how to measure the performance of a supply chain. A major contributing factor to these problems is defining which processes are managed in a supply chain and which firms, or intermediaries, are included in a supply chain. This research will focus on the warehousing component of the supply chain process and, in particular, on how firms measure the performance of their warehouse (intermediary) operations. Two types of firms will be used for the analysis: those implementing a supply chain orientation and those that are not. The empirical analysis will offer a comparison between common warehouse performance measurements for SCM-oriented firms and non-SCM-oriented firms and provide insight into the relationship between managers' perceptions of warehouse measurement effectiveness and the degree of SCM sophistication.
引用
收藏
页码:18 / 27
页数:10
相关论文
共 50 条
  • [21] Supply chain coordination in Confirming Warehouse Financing
    Lin, Qiang
    Su, Xuemei
    Peng, Ying
    COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 118 : 104 - 111
  • [22] Exploring blockchain implementation challenges in the context of healthcare supply chain (HCSC)
    Bak, Ozlem
    Braganza, Ashley
    Chen, Weifeng
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2025, 63 (02) : 687 - 702
  • [23] Exploring the Antecedents of Supply Chain Viability in a Pandemic Context: An Empirical Study on the Commercial Flower Supply Chain of an Emerging Economy
    Misbauddin, S. M.
    Alam, Mohammad Jahangir
    Karmaker, Chitra Lekha
    Nabi, Md. Noor Un
    Hasan, Md. Mahedi
    SUSTAINABILITY, 2023, 15 (03)
  • [24] An empirical supply chain measurement model for a national egg producer based on the supply chain operations reference model
    Pretorius, Christian
    Ruthven, George A.
    von Leipzig, Konrad
    JOURNAL OF TRANSPORT AND SUPPLY CHAIN MANAGEMENT, 2013, 7 (01)
  • [25] Supply chain resilience: model development and empirical analysis
    Jain, Vipul
    Kumar, Sameer
    Soni, Umang
    Chandra, Charu
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (22) : 6779 - 6800
  • [26] An Empirical Analysis of Supply Chain Competitiveness and Cleaner Production
    Arshed, Noman
    Hameed, Kamran
    Saher, Asma
    SAGE OPEN, 2022, 12 (04):
  • [27] Blockchain Technology in the Food Supply Chain: Empirical Analysis
    David, Arokiaraj
    Kumar, C. Ganesh
    Paul, P. Victer
    INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT, 2022, 15 (03)
  • [28] An empirical analysis of the effect of supply Chain risk management
    Graduate School of Engineering, Fukuoka 811-0295, Japan
    不详
    1600, ICIC Express Letters Office, Tokai University, Kumamoto Campus, 9-1-1, Toroku, Kumamoto, 862-8652, Japan (08):
  • [29] Analysis of Kanban Supply Chain Systems
    Shi Baojin
    Cao Yonghui
    Wang Ru
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A-C, 2008, : 832 - 835
  • [30] Analysis of Warehouse Location in Low-Carbon Supply Chain Based on the Cost
    Liu, Zongxu
    Lan, Hongjie
    LTLGB 2012: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON LOW-CARBON TRANSPORTATION AND LOGISTICS, AND GREEN BUILDINGS. VOL 1, 2013, : 727 - 733