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Social Network Analysis for Logistics and Supply Chain Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (1 October 2021) | Viewed by 24754

Special Issue Editors


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Guest Editor
School of Industrial Engineering, Carlo Cattaneo University LIUC, 21053 Castellanza, VA, Italy
Interests: social network analysis; dynamical systems; sensitivity analysis; control systems; nonlinear time series analysis

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Guest Editor
School of Industrial Engineering, Carlo Cattaneo University LIUC, 21053 Castellanza, VA, Italy
Interests: supply chain network design; Eco-Resilience; healthcare logistics; Logistics 4.0 and Industry 4.0; circular economy

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Guest Editor
Department of Management, Economics and Industrial Engineering, Polytechnic University of Milan, 20156 Milan, Italy
Interests: supply chain sustainability; supply chain risk management; ecoresilience; industry 4.0 and logistics 4.0; citation network analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A supply chain is a set of all the organizations, individuals, resources, and activities involved in the creation and sale of a product, from the delivery of basic materials from the supplier to the manufacturer, up to the end user. Supply chain management (SCM) is the management of the three main flows of a supply chain: the product flow, the financial flow, and the information flow. A supply chain may be considered as a complex system in which, if properly managed, its value may be greater than the sum of its parts.

A network represents a complex system as a set of interrelated actors which may be persons, firms, countries, but even buyers and suppliers, and social network analysis (SNA) provides a set of tools to analyze their relationships and to measure both the static properties and dynamic development of the networks.

This Special Issue welcomes both conceptual and empirical contributions on the social network analysis tools applied to supply chains to provide novel perspectives on SCM and solve SCM problems. Authors from different disciplines such as business, management, economics, and other related disciplines are invited to submit their papers. Multidisciplinary research that embraces the diversity of supply chain perspectives is appreciated. Submissions could relate but are not limited to social network analysis applied to the following topics:

  • Procurement management;
  • Demand forecasting and stock management;
  • Collaboration and coordination in the supply chain;
  • Packaging of products, warehousing and materials handling;
  • Design and management of distribution networks;
  • Freight transport systems;
  • Reverse logistics;
  • Information systems for logistics;
  • Organisation and control of logistics systems;
  • Sustainability and green logistics;
  • Supply chain risk management and eco-resilience;
  • Health care supply chain

Prof. Dr. Fernanda Strozzi
Prof. Dr. Alessandro Creazza
Prof. Dr. Claudia Colicchia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Social network analysis
  • Supply chain management
  • Logistics and transport
  • Sustainability

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Published Papers (2 papers)

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Research

16 pages, 3310 KiB  
Article
Example of Warehouse System Design Based on the Principle of Logistics
by Janka Saderova, Andrea Rosova, Marian Sofranko and Peter Kacmary
Sustainability 2021, 13(8), 4492; https://doi.org/10.3390/su13084492 - 17 Apr 2021
Cited by 19 | Viewed by 16500
Abstract
The warehouse process, as one of many logistics processes, currently holds an irreplaceable position in logistics systems in companies and in the supply chain. The proper function of warehouse operations depends on, among other things, the type of the used technology and their [...] Read more.
The warehouse process, as one of many logistics processes, currently holds an irreplaceable position in logistics systems in companies and in the supply chain. The proper function of warehouse operations depends on, among other things, the type of the used technology and their utilization. The research in this article is focused on the design of a warehouse system. The selection of a suitable warehouse system is a current research topic as the warehouse system has an impact on warehouse capacity and utilization and on the speed of storage activities. The paper presents warehouse system design methodology that was designed applying the logistics principle-systematic (system) approach. The starting point for designing a warehouse system represents of the process of design logistics systems. The design process consists of several phases: project identification, design process paradigm selection, system analysis, synthesis, and project evaluation. This article’s contribution is the proposed methodology and design of the warehouse system for the specified conditions. The methodology was implemented for the design of a warehouse system in a cold box, which is a part of a distribution warehouse. The technology of pallet racking was chosen in the warehouse to store pallets. Pallets will be stored and removed by forklifts. For the specified conditions, the warehouse system was designed for two alternatives of racking assemblies, which are served by forklifts. Alternative 1—Standard pallet rack with wide aisles and Alternative 2—Pallet dynamic flow rack. The proposed systems were compared on the basis of selected indicators: Capacity—the number of pallet places in the system, Percentage ratio of storage area from the box area, Percentage ratio of handling aisles from the box area, Access to individual pallets by forklift, Investment costs for 1 pallet space in EUR. Based on the multicriteria evaluation, the Alternative 2 was chosen as the acceptable design of the warehouse system with storage capacity 720 pallet units. The system needs only two handling aisles. Loading and unloading processes are separate from each other, which means that there are no collisions with forklifts. The pallets with the goods are operated on the principle of FIFO (first in, first out), which will facilitate the control of the shelf life of batches or series of products. The methodology is a suitable tool for decision-making in selecting and designing a warehouse system. Full article
(This article belongs to the Special Issue Social Network Analysis for Logistics and Supply Chain Management)
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15 pages, 2318 KiB  
Article
A Study on Sustainable Usage Intention of Blockchain in the Big Data Era: Logistics and Supply Chain Management Companies
by Kwang O. Park
Sustainability 2020, 12(24), 10670; https://doi.org/10.3390/su122410670 - 21 Dec 2020
Cited by 39 | Viewed by 6831
Abstract
The adoption of blockchain technology (BT) is becoming increasingly important to the logistics industry. It is expected to make the entire supply chain process more efficient and competitive by providing visibility, reliability, and economic viability. This study aims to explore factors influencing the [...] Read more.
The adoption of blockchain technology (BT) is becoming increasingly important to the logistics industry. It is expected to make the entire supply chain process more efficient and competitive by providing visibility, reliability, and economic viability. This study aims to explore factors influencing the adoption of blockchain in the logistics industry and examine the effects of the reciprocal causal relationship between the identified factors. Empirical research aimed at understanding the functional characteristics of BT and bolstering its application is considerably lacking. This study, therefore, aims to examine the concepts and the types of BT based on a literature review related to blockchain. Factors affecting blockchain adoption are identified using a model, which was developed using the unified theory of acceptance and use of technology (UTAUT) and the technology-organization-environment (TOE) frameworks as well as a literature review. The results provide fundamental insights into the adoption of BT in the logistics industry by increasing the understanding of associated factors and underscoring the functional characteristics of this emerging technology. Full article
(This article belongs to the Special Issue Social Network Analysis for Logistics and Supply Chain Management)
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