Revisiting the warehouse research through an evolutionary lens: a review from 1990 to 2019

PurposeIn the last decade, the Industry 4.0 paradigm had started to rapidly expand to the logistics domain. However, Logistics 4.0 is still in an early adoption stage: some areas such as warehousing are still exploring its applicability, and the technological implementation of this paradigm can become fuzzy. This paper addresses this gap by examining the relationship among influencing factors, barriers, and benefits of Logistics 4.0 technologies in warehousing contexts.Design/methodology/approachStarting from a Systematic Literature Review (SLR) approach with 56 examined documents published in scientific journals or conference proceedings, a conceptual framework for Logistics 4.0 in warehousing is proposed. The framework encompasses multiple aspects related to the potential adopter’s decision-making process.FindingsInfluencing factors toward adoption, achievable benefits, and possible hurdles or criticalities have been extensively analyzed and structured into a consistent picture. Company’s digital awareness and readiness result in a major influencing factor, whereas barriers and criticalities are mostly technological, safety and security, and economic in nature. Warehousing process optimization is the key benefit identified.Originality/valueThis paper addresses a major gap since most of the research has focused on specific facets, or adopted the technology providers’ perspective, whereas little has been explored in warehousing from the adopters’ view. The main novelty and value lie in providing both academics and practitioners with a thorough view of multiple facets to be considered when approaching Logistics 4.0 in logistics facilities.

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“…Following a similar methodology as some documents found in the literature (Golpîra et al. , 2021; Kumar et al. , 2021; Winkelhaus et al.…”

Section: Review Resultsmentioning

confidence: 99%

“…Warehouses play a key role in the Logistics 4.0 transition (Valchkov and Valchkova, 2018). Kumar et al. (2021) highlight relevant gaps related to Logistics 4.0 in warehouses and, more specifically, the need for frameworks to identify and address the challenges of its technological adoption.…”

Section: Introductionmentioning

confidence: 99%

Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers

Perotti

Santacruz

Bremer

et al. 2022

IJLM

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“…The findings showed that PDF might be improved using industrial intelligence, which supports product creation by bridging customer and design needs. The AI–IoT qualities of accurate and fast information, data analysis capabilities, and predictability may aid in introducing new products and modifying existing ones to meet consumer needs (Kumar, Narkhede, & Jain, 2021). The finding is also in line with Jin et al (2014) who show the positive relationship between IT‐enabled sharing capability and PDF.…”

Section: Discussionmentioning

confidence: 99%

Supply chain firm performance in circular economy and digital era to achieve sustainable development goals

et al. 2021

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Digitalization of the supply chain (SC) has received plenty of attention from practitioners and researchers in recent years to address the challenges of the business environment and assist firms in achieving a circular SC. Implementing circularity in business operations is a practice of achieving sustainability which is of utmost significance for achieving sustainable development goals established by the United Nations. This study empirically examines the relation among flexibility, AI-IoT adoption, and SC firm performance under the circular economy (CE) environment based on resource orchestration theory (ROT), an integrated version of the extendedresource-based view, and dynamic capability theory (DCT). Data were collected from Indian manufacturing firms through a questionnaire-based survey and examined using "structural equation modeling (SEM)." The study results show that information flexibility and organizational flexibility have the highest impact on AI-IoT adoption.Organizational flexibility shows full mediation with AI-IoT, which would influence the SC firm performance directly. The analysis also indicates that CE will affect the relation between organizational flexibility and AI-IoT adoption. These findings pave the way for cross-country analysis, formation of practical strategies, and policies related to AI-IoT and CE implementations.

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“…Recently, Kumar et al (2021) provided a comprehensive literature review on warehouse management systems through a systematic evolutionary method that considered peer-reviewed articles published between 1990 and 2019. They identified three clusters based on warehouse management themes, sub-themes, and topics.…”

Section: To Onwardsmentioning

confidence: 99%

“…At the same time, COVID-19 has shown the need for an advanced warehousing system that is self-sustainable and operational (Kumar et al, 2021).…”

Section: To Onwardsmentioning

confidence: 99%

Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

et al. 2021

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Micro, Small, and Medium Enterprises (MSMEs) operating in the food retailing sector encounter two main concerns with respect to their perishable inventory management system, i.e., the product's shelf life and investment in warehouse monitoring systems. New technologies like the Internet of Things (IoT), automated inventory control platforms, and automatic storage and retrieval systems offer effective solutions to these issues. However, MSMEs are reluctant to adopt these technologies due to their prior perception of higher implementation costs and the expected benefits. The present study aims to optimize IoT implementation in MSMEs' inventory management systems and to provide tangible proof of its feasibility and usefulness. In so doing, we propose a mathematical model and analyze the impact of IoT through two case studies. The model provides a cost-benefit analysis of IoT investments that aim to increase products' shelf life. We adopted the fractional program method, solved by particle swarm optimization on MATLAB software. The findings demonstrate the positive correlation between adopting IoT and reduced inventory costs supporting IoT deployment for improved perishability performance in MSMEs. The study offers several insights and practical guidelines in considering IoT deployment in MSMEs. KeywordsMSME • Inventory management • Internet of Things • Perishable • Warehousing B Sachin Kamble

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Revisiting the warehouse research through an evolutionary lens: a review from 1990 to 2019

Cited by 59 publications

References 96 publications

Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers

Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers

Supply chain firm performance in circular economy and digital era to achieve sustainable development goals

Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

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