Abstract:The order picking process has been considered as the most time‐consuming and costly activity in warehouse management. Efficient location management, including product location management and storage location assignment management, serves as the key to reducing product searching time and traveling time during the process. This research is motivated by a real‐life industrial case, which is from a forklift manufacturer that encountered the underperformance in warehouse management. Excessive time was consumed in s… Show more
“…The economic sustainability of warehousing also receives the contribution from Industry 4.0 technologies such as cloud technology and big data analytics. For instance, Zhao et al. (2017) note that equipment visibility is significantly improved based on real-time data collection and communication through the cloud service, thus enhancing warehouse picking efficiency and effectiveness, as well as reducing inventory level and waste of resources on paper-based tasks.…”
Section: Discussion On Industry 40 Technologies and Sustainable Wareh...mentioning
confidence: 99%
“…, 2021a, b). For example, automated systems help reduce laborious paper-based tasks (Zhao et al. , 2017), thereby providing a huge boost to employees' morality and work efficiency (Periša et al.…”
Section: Discussion On Industry 40 Technologies and Sustainable Wareh...mentioning
confidence: 99%
“…, 2011; Xiao et al. , 2017), removing laborious paper-based tasks (Zhao et al. , 2017) and boosting employees' morality and work efficiency (Periša et al.…”
Section: Knowledge Gaps and Avenues For Future Researchmentioning
PurposeRobust and efficient warehouse management is pivotal to the success of contemporary logistics and business productivity. Given the recent technological revolutions and the rising pressure for sustainable warehouse activities, the recent literature continues to grow on Industry 4.0 technologies and sustainable warehousing. Following this, the review aims to explore current state-of-the-art, knowledge development, the focus of research, methodological development and knowledge gaps for more impactful future research on this important yet underexplored topic.Design/methodology/approachA widely accepted systematic literature review (SLR) methodology was employed on a sample of 46 articles retrieved from multiple search queries in the three large databases: Scopus, Web of Science and Google Scholar.FindingsThe authors’ analysis unveils several interesting findings: the positive linkage between various Industry 4.0 technologies and the three main pillars (economic, social, environmental) of sustainable warehousing; the paucity of large scale empirical research, specifically in the context of COVID-19; imbalance amid studies on three main aspects of warehouse sustainability; partial application of Industry 4.0 technologies; and disproportion in scholarly focus between numerous warehouse activities and Industry 4.0 technologies.Practical implicationsThe authors integrate research findings from a pool of studies, thereby improving the understanding of practitioners on how different Industry 4.0 technologies relate to sustainable warehousing.Originality/valueTo the best of the authors’ knowledge, this is the first SLR at the intersection of Industry 4.0 technologies and sustainable warehousing. Our review expands the existing knowledge base, devises a conceptual framework and suggests avenues for fruitful future research on this emerging area.
“…The economic sustainability of warehousing also receives the contribution from Industry 4.0 technologies such as cloud technology and big data analytics. For instance, Zhao et al. (2017) note that equipment visibility is significantly improved based on real-time data collection and communication through the cloud service, thus enhancing warehouse picking efficiency and effectiveness, as well as reducing inventory level and waste of resources on paper-based tasks.…”
Section: Discussion On Industry 40 Technologies and Sustainable Wareh...mentioning
confidence: 99%
“…, 2021a, b). For example, automated systems help reduce laborious paper-based tasks (Zhao et al. , 2017), thereby providing a huge boost to employees' morality and work efficiency (Periša et al.…”
Section: Discussion On Industry 40 Technologies and Sustainable Wareh...mentioning
confidence: 99%
“…, 2011; Xiao et al. , 2017), removing laborious paper-based tasks (Zhao et al. , 2017) and boosting employees' morality and work efficiency (Periša et al.…”
Section: Knowledge Gaps and Avenues For Future Researchmentioning
PurposeRobust and efficient warehouse management is pivotal to the success of contemporary logistics and business productivity. Given the recent technological revolutions and the rising pressure for sustainable warehouse activities, the recent literature continues to grow on Industry 4.0 technologies and sustainable warehousing. Following this, the review aims to explore current state-of-the-art, knowledge development, the focus of research, methodological development and knowledge gaps for more impactful future research on this important yet underexplored topic.Design/methodology/approachA widely accepted systematic literature review (SLR) methodology was employed on a sample of 46 articles retrieved from multiple search queries in the three large databases: Scopus, Web of Science and Google Scholar.FindingsThe authors’ analysis unveils several interesting findings: the positive linkage between various Industry 4.0 technologies and the three main pillars (economic, social, environmental) of sustainable warehousing; the paucity of large scale empirical research, specifically in the context of COVID-19; imbalance amid studies on three main aspects of warehouse sustainability; partial application of Industry 4.0 technologies; and disproportion in scholarly focus between numerous warehouse activities and Industry 4.0 technologies.Practical implicationsThe authors integrate research findings from a pool of studies, thereby improving the understanding of practitioners on how different Industry 4.0 technologies relate to sustainable warehousing.Originality/valueTo the best of the authors’ knowledge, this is the first SLR at the intersection of Industry 4.0 technologies and sustainable warehousing. Our review expands the existing knowledge base, devises a conceptual framework and suggests avenues for fruitful future research on this emerging area.
“…The steady introduction of digital content into a large variety of products and services has made available a larger pool of opportunities for entrepreneurs (Davidson and Vaast, 2010;Porter and Heppelmann, 2014;Nambisan, 2017;Srinivasan and Venkatraman, 2018;von Briel et al, 2018b). Since information technology (IT) processes are conducted using a combination of technologies (Zhao et al, 2017) they enable an organization to record, process and exchange data effectively (Gupta and Misra, 2016). Organizations can use this data to extract information for multiple purposes, including faster and higher-quality decision making (Coreynen et al, 2017).…”
Section: Moderating Role Of Digital Technology Adoptionmentioning
The purpose of this research is to investigate the associations of internal and external support mechanisms with entrepreneurial success, in the context of China's entrepreneurial sector from network theory perspective. The role of digital technology, as a moderator, has also been analyzed. Data has been obtained from 500 entrepreneurs in Jiangsu, a province in China. All hypotheses were tested using structural equation modeling. It has been found that family support, business partner support, community support and external stakeholder relationships have positive effects on entrepreneurial success. It has also been discovered that digital technology adoption strengthens the positive relationship between business partner support and entrepreneurial success. Theoretical and practical implications have been highlighted and future research suggestions have been provided.
“…goods). A recent survey of warehouses implied that more than 70% of the time was spent picking up orders [2]. To reduce the distance required for order picking, researchers proposed optimization methods from the following four ideas: carefully planned instruction picking path, batch orders, warehouse area division, and product allocation to the appropriate storage location [3].…”
With the hot rise and increasing popularity of e-commerce and online shopping, exponentially growing orders require to be picked up timely. In the order-based warehouse picking process, more intelligent optimization methods are urgently demanded to meet the maturity of robot technology. Due to the wide variety of SKUs (stock-keeping units) in warehouses, direct analysis based on orders can hardly get strong correlations among SKUs. Since orders and SKUs usually are presented in text form files, this paper proposes a clustering optimization algorithm based on text information granules which makes full use of context information and semantics. Storage assignment is determined by clustering SKUs first and then performing correlation analysis on the clustering results according to orders. The algorithm can give the semantic description of each cluster so that the clustering process is interpretable and transparent. Extensive experiments on a distribution center of a clothing production enterprise indicate 40.5 to 57.9% improvement in the average order picking distance compared with the ABC classification.
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