Connecting Engineering Technology with Enterprise Systems for Sustainable Supply Chain Management

被引:5
作者
Ethirajan, Manavalan [1 ]
Kandasamy, Jayakrishna [1 ]
Kumaraguru, Senthilkumaran [2 ]
机构
[1] Vellore Inst Technol Univ, Sch Mech Engn, Vellore 632014, Tamil Nadu, India
[2] Indian Inst Informat Technol Design & Mfg Kanchee, Dept Mech Engn, Vandalur Kelambakkam Rd, Chennai 632014, Tamil Nadu, India
来源
SMART AND SUSTAINABLE MANUFACTURING SYSTEMS | 2020年 / 4卷 / 01期
关键词
enterprise systems; digital manufacturing; adaptive intelligence; internet of things; industry; 4.0; INDUSTRY; 4.0; PERFORMANCE-MEASUREMENT; INTERNET; FRAMEWORK; THINGS; CLASSIFICATION; ANALYTICS; LOGISTICS;
D O I
10.1520/SSMS20190037
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Organizations have been facing quite a few challenges, including a growing global competitive market, shorter time to market, rising product variants, and adjustments in production because of fluctuation in demand. To handle these challenges, industries need to connect engineering technology with enterprise systems to transform their practices toward industry 4.0 requirements. The supply chain sector is targeting stakeholders to enhance their product competitiveness by leveraging innovative digital technologies such as artificial intelligence, the internet of things (IoT), and blockchain to make effective decisions instantaneously. This article will help in contextualizing emerging adaptive intelligence technology to drive connected intelligence and achieve supply chain operational excellence. A real-time case study in the manufacturing industry will be discussed. Subsequently, how adaptive intelligence can help quality management in real-time will be explored to manage the production quality, which is measured by rejections, scraps, and cost savings. Additionally, this article discusses how technology-embedded enterprise systems help the organization to manage the daily production, which is measured by production rate, quality, and yield. For the case organization, the IoT architecture is proposed and the performance metric framework for the supply chain is described. Furthermore, the article discusses how materials can be reused to extract economic benefits with collaborated diverse industries. This influences the eco-friendly environment across the supply chain with the focus on reducing the carbon footage.
引用
收藏
页码:33 / 48
页数:16
相关论文
共 74 条
[1]  
Abreu M.F., 2019, Lean Engineering for Global Development, P259, DOI [DOI 10.1007/978-3-030-13515-7, DOI 10.1007/978-3-030-13515-79]
[2]  
[Anonymous], 2000, Int. J. Phy. Distrib. Logistics Manage., DOI DOI 10.1108/09600030010326064
[3]  
Asprion PM, 2018, STUD SYST DECIS CONT, V141, P15, DOI 10.1007/978-3-319-74322-6_2
[4]   Industry 4.0 implications in logistics: an overview [J].
Barreto, L. ;
Amaral, A. ;
Pereira, T. .
MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE 2017 (MESIC 2017), 2017, 13 :1245-1252
[5]  
Bauer Martin., 2013, Enabling Things to Talk: Designing IoT solutions with the IoT Architectural Reference Model, P113, DOI [10.1007/978-3-642-40403-0_7, DOI 10.1007/978-3-642-40403-0_7]
[6]   State of art perspectives of lean and sustainable manufacturing [J].
Ben Ruben, R. ;
Vinodh, S. ;
Asokan, P. .
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2019, 10 (01) :234-256
[7]   Internet of things and supply chain management: a literature review [J].
Ben-Daya, Mohamed ;
Hassini, Elkafi ;
Bahroun, Zied .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (15-16) :4719-4742
[8]  
Bortolini M., 2016, INT J SOCIAL BEHAV E, V10, P859
[9]  
Castellani Angelo P., 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), P678, DOI 10.1109/PERCOMW.2010.5470520
[10]   Investigating green supply chain management practices and performance The moderating roles of supply chain ecocentricity and traceability [J].
Cousins, Paul D. ;
Lawson, Benn ;
Petersen, Kenneth J. ;
Fugate, Brian .
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2019, 39 (05) :767-786