Analysis of smart warehouse in the context of India’s National Logistics Policy and digital-push: an ISM-MICMAC technique

IF 3.6 Q2 MANAGEMENT

International Journal of Productivity and Performance Management Pub Date : 2024-08-16 DOI:10.1108/ijppm-10-2023-0533

Shalini Singh, Ram Singh

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引用次数: 0

Abstract

Purpose

India’s rapid economic growth has triggered a significant transformation in its logistics sector, fueled by comprehensive reforms and digital initiatives outlined in the National Logistics Policy. Smart warehouses, equipped with cutting-edge technologies such as IoT, AI and automation, have taken center stage in this evolution. They play a pivotal role in India’s digital journey, revolutionizing supply chains, reducing costs and boosting productivity. This AI-driven transformation, in alignment with the “Digital India” campaign, positions India as a global logistics leader poised for success in the industry 4.0 era. In this context, this study highlights the significance of smart warehouses and their enablers in the broader context of supply chain and logistics.

Design/methodology/approach

This paper utilized the ISM technique to suggest a multi-tiered model for smart warehouse ecosystem enablers in India. Enablers are also graphically categorized by their influence and dependence via MICMAC analysis.

Findings

The study not only identifies the 17 key enablers fostering a viable ecosystem for smart warehouses in India but also categorizes them as linkage, autonomous, dependent and independent enablers.

Research limitations/implications

This research provides valuable insights for practitioners aiming to enhance technological infrastructure, reduce costs, minimize wastage and enhance productivity. Moreover, it addresses critical academic and research gaps contributing to the advancement of knowledge in this domain, thus paving the way forward for more research and learning in the field of smart warehouses.

Originality/value

The qualitative modeling is done by collecting experts' opinions using the ISM technique solicits substantial value to this research.

查看原文本刊更多论文

印度国家物流政策和数字推动背景下的智能仓库分析：ISM-MICMAC 技术

目的印度经济的快速增长引发了物流业的重大变革，国家物流政策中概述的全面改革和数字化举措更是起到了推波助澜的作用。智能仓库配备了物联网、人工智能和自动化等尖端技术，在这一变革中占据了中心位置。它们在印度的数字化进程中发挥着关键作用，彻底改变了供应链，降低了成本，提高了生产率。这种人工智能驱动的转型与 "数字印度 "运动相一致，使印度成为全球物流业的领导者，为工业 4.0 时代的成功做好了准备。在此背景下，本研究强调了智能仓库及其推动因素在更广泛的供应链和物流背景下的重要意义。本文利用 ISM 技术，提出了印度智能仓库生态系统推动因素的多层模型。研究限制/影响本研究为旨在加强技术基础设施、降低成本、减少浪费和提高生产率的从业人员提供了有价值的见解。此外，它还填补了学术和研究方面的重要空白，促进了该领域知识的发展，从而为智能仓库领域的更多研究和学习铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Productivity and Performance Management MANAGEMENT-

CiteScore

7.90

自引率

9.70%

发文量

期刊介绍： ■Organisational design and methods ■Performance management ■Performance measurement tools and techniques ■Process analysis, engineering and re-engineering ■Quality and business excellence management Articles can address these topics theoretically or empirically through either a descriptive or critical approach. The co-Editors support articles that significantly bring new knowledge to the area both for academics and practitioners. The material for publication in IJPPM should be written in a manner which makes it accessible to its entire wide-ranging readership. Submissions of highly technical or mathematically-oriented papers are discouraged.