Smart Logistics – Conceptualization and Empirical Evidence

Woschank, Manuel; Zsifkovits, Helmut

doi:10.12982/cmujns.2021.030

Cited by 8 publications

(6 citation statements)

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“…The possibility to improve process performance through the implementation of Logistics 4.0 technologies in warehouses is a widely addressed topic, especially from a conceptual perspective (Barreto et al, 2017;Correa et al, 2020;Issaoui et al, 2021;Kuczy nska-Chałada et al, 2018;Nantee and Sureeyatanapas, 2021;Ole sk ow-Szłapka and Stachowiak, 2019;Song et al, 2021;Wen et al, 2018;Winkelhaus and Grosse, 2020;Woschank and Zsifkovits, 2021).…”

Section: Benefits (Rq2)mentioning

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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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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Section: Benefits (Rq2)mentioning

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 fourth industrial revolution incorporates the implementation and integration of information technology and networking from the third industrial revolution to develop intelligent production and services [30] to support customer satisfaction, improve operations, and connect production and logistics processes smoothly along the entire supply chain [31]. These technologies have been adopted in various applications, including logistics activities, advancing traditional logistics to become "Smart Logistics (Logistics 4.0)" [32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Logistics Service Provider Lifecycle Model in Industry 4.0: A Review

Tiwong,

Woschank,

Ramingwong

et al. 2024

Applied Sciences

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Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and future developments of LSPs and the underlying (smart) logistics operations connected to the concept of lifecycle management. An SLR review was conducted to identify relevant research papers in the areas of LSPs and logistics lifecycle management. Out of 288 papers analyzed, 81 were identified as highly appropriate for in-depth analysis. The LSP Lifecycle Model (LSLM) was then developed by combining logistics service characteristics and the lifecycle management concept, including Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), and Product Service System (PSS). The LSLM consists of three phases: The Beginning of Life (BOL), the Middle of Life (MOL), and the End of Life (EOL). The LSLM is characterized by three phases, eight criteria, and seventeen sub-criteria. This paper aims to fulfil customer requirements through a product or service in the whole lifecycle of the logistics service provider. The findings further present an adaptable LSLM by focusing on various logistics services and integrating sustainability factors to meet market trends. Logistics cost factors can also be used to evaluate logistics services in the MOL stage. The EOL shows the trend of risk management, evaluation, and decomposition, which is determined by new or re-designed logistics products and services.

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“…During the last decade, Industry 4.0 initiatives developed a multitude of technologies and technological concepts which can be used to strengthen the competitiveness of manufacturing enterprises based on the principles of digitalization, interconnectivity, and autonomization [1,2]. Thereby, recent empirical studies outline the importance of training the human factors within the environment of Industry 4.0-based production and logistics processes as one of the main prerequisites toward the transition to a smart factory [3,4].…”

Section: Introductionmentioning

confidence: 99%

The Usage of Challenge-Based Learning in Industrial Engineering Education

Woschank

Pacher

Miklautsch

et al. 2022

Mobility for Smart Cities and Regional Development - Challenges for Higher Education

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The successful implementation of Industry 4.0 technologies is dependent on a variety of complex endogenous and/or exogenous influencing factors. In this context, the realignment of contemporary teaching and learning methods is seen as a major prerequisite for the systematic development of human factors in modern and hyper-dynamic working environments. This paper focuses on the investigation of challenge-based learning as one of the most promising interactive methods for industrial engineering education. After reviewing current research on challenge-based learning, two exemplary challenges are presented in the form of a case study to serve as a foundation for the systematic development of transdisciplinary competences for the engineers and entrepreneurs of tomorrow.

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Smart Logistics – Conceptualization and Empirical Evidence

Cited by 8 publications

References 0 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

Logistics Service Provider Lifecycle Model in Industry 4.0: A Review

The Usage of Challenge-Based Learning in Industrial Engineering Education

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