Applying lean manufacturing, corporate social responsibility and the Hungarian method for supply chain project management

业务 企业社会责任 供应链 供应链管理 过程管理 精益制造 背景(考古学) 精益项目管理 社会责任 生产力 知识管理 营销 公共关系 计算机科学 经济 古生物学 宏观经济学 生物 政治学
作者
Malika-Sofi Akhmatova,Antonina Deniskina,Dzhennet-Mari Akhmatova,С. А. Сергеева,Alexandr K. Orlov
出处
期刊:E3S web of conferences [EDP Sciences]
卷期号:376: 01097-01097 被引量:2
标识
DOI:10.1051/e3sconf/202337601097
摘要

Supply chain project management is a comprehensive process allowing managers to coordinate resources, functions and actions to achieve a specific goal within a set time frame, scope and budget. One of the problems in the context of improving the quality of the Supply Chain Project Management is the creation of a favorable social environment for employees who are a crucial part of the supply chain management (SCM) system. In this article, this issue is considered from the perspective of the assignment problem. First, this article proposes the Corporate Social Responsibility (CSR) as a platform for introducing Lean practices within the supply chain. It strongly contributes to filling the research gap in the field of the CSR and Lean philosophy coordination. The ultimate goal is to promote the culture of continuous improvements, human resources (HR) development and satisfaction of workers’ social needs for the sustainability of the Supply Chain Project Management. Second, the Hungarian method is implemented in the context of the coordination of CSR and Lean management for right decisions in assignment problem concerning the issues of supply chain employees’ engagement and development. The results reveal the possibility of achieving positive effects in creating an employee-friendly supply chain environment and unlocking untapped human potential while maintaining long-term benefits. The research findings would assist the scientific community and practitioners in applying proposed ways to enhance labor productivity and ensure the development of employee-friendly social environment.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
薄荷喵发布了新的文献求助10
刚刚
刚刚
nininic发布了新的文献求助10
1秒前
无限孤云发布了新的文献求助10
1秒前
sci_fp发布了新的文献求助10
3秒前
dery发布了新的文献求助10
3秒前
华仔应助dtmdg采纳,获得10
4秒前
5秒前
5秒前
5秒前
5秒前
任性的乘风完成签到 ,获得积分10
6秒前
6秒前
lgc完成签到,获得积分10
6秒前
lxw完成签到,获得积分10
7秒前
7秒前
香蕉觅云应助sci_fp采纳,获得10
8秒前
9秒前
10秒前
啧啧完成签到,获得积分10
10秒前
Beansprout发布了新的文献求助10
11秒前
11秒前
lxw发布了新的文献求助10
11秒前
儒雅的斑马完成签到,获得积分10
11秒前
minmin完成签到 ,获得积分10
12秒前
cdercder应助文艺的菀采纳,获得10
12秒前
123完成签到,获得积分10
13秒前
14秒前
puzhongjiMiQ发布了新的文献求助10
14秒前
14秒前
Yubler发布了新的文献求助10
16秒前
ning完成签到,获得积分10
16秒前
高宫璇发布了新的文献求助10
17秒前
17秒前
典雅绮兰发布了新的文献求助10
18秒前
烟花应助饱满服饰采纳,获得10
18秒前
科目三应助puzhongjiMiQ采纳,获得10
18秒前
彭于晏应助puzhongjiMiQ采纳,获得10
18秒前
chen发布了新的文献求助10
18秒前
郭小白发布了新的文献求助10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7242286
求助须知:如何正确求助?哪些是违规求助? 8866911
关于积分的说明 18704590
捐赠科研通 6915607
什么是DOI,文献DOI怎么找? 3196203
关于科研通互助平台的介绍 2369320
邀请新用户注册赠送积分活动 2170824