scholarly journals Managing Capabilities for Supply Chain Resilience Through it Integration

2017 ◽  
Vol 31 (1) ◽  
pp. 30-43 ◽  
Author(s):  
Valentas Gružauskas ◽  
Mantas Vilkas
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Scientific Literature ◽  
Product Variety ◽  
Literature Analysis ◽  
Urbanization Level ◽  
Supply Chain Resilience ◽  
It Integration ◽  
Distribution Process ◽  
Concept Usage

Abstract The trend for e-commerce, estimated population size to 11 billion by 2050, and an increase in urbanization level to 70 % is requiring to re-think the current supply chain. These trends changed the distribution process: delivery distances are decreasing, the product variety is increasing, and more products are being sold in smaller quantities. Therefore, the concept of supply chain resilience has gained more recognition in recent years. The scientific literature analysis conducted by the authors indicate several capabilities that influence supply chain resilience. Collaboration, flexibility, redundancy and integration are the most influential capabilities to supply chain resilience. However, the authors identify that the combination of these capabilities to supply chain resilience is under researched. The authors indicate that by combining these capabilities with the upcoming technologies of industry 4.0, supply chain resilience can be achieved. In the future, the authors are planning to conduct further research to identify the influence of these capabilities to supply chain resilience, to quantify supply chain resilience, and to provide further practices of industry 4.0 concept usage for supply chain resilience.

How Industry 4.0 Changes the Value Co-Creation Process

2020 ◽  
pp. 21-36
Author(s):  
Rebecca Castagnoli ◽  
Giacomo Büchi ◽  
Monica Cugno
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Industry 4.0 ◽  
Customer Value ◽  
Web Of Science ◽  
Research Question ◽  
Literature Analysis ◽  
Creation Process ◽  
Enabling Technologies ◽  
The Creation

The chapter analyses the literature on Industry 4.0 to understand the effect that Industry 4.0 has on customer co-creation process. The chapter is conceptual and is based on a literature analysis—conducted through ISI-Thompson Web of Science—that answers two research question: (RQ1) if and (RQ2) how the Industry 4.0 changes the customer value co-creation process. The results are summarized into a conceptual framework that shows how Industry 4.0 transforms the creation of value for customers, of customers, and with customers. The implications encourage managers and policymakers to implement a wider range of enabling technologies along the various phases of the supply chain and to adopt a new way to manage the company itself and the relations with customers involving them in the co-creation of products.

scholarly journals Graph Database to Enhance Supply Chain Resilience for Industry 4.0

2022 ◽  
Vol 15 (1) ◽  
pp. 0-0
Keyword(s):  
Supply Chain ◽  
Data Analysis ◽  
Inventory Management ◽  
Industry 4.0 ◽  
Query Language ◽  
Graph Model ◽  
Modeling Framework ◽  
Supply Chain Resilience ◽  
Graph Data ◽  
Wide Range

Supply chain network in the automotive industry has complex, interconnected, multiple-depth relationships. Recently, the volume of supply chain data increases significantly with Industry 4.0. The complex relationships and massive volume of supply chain data can cause visibility and scalability issues in big data analysis and result in less responsive and fragile inventory management. The authors develop a graph data modeling framework to address the computational problem of big supply chain data analysis. In addition, this paper introduces Time-to-Stockout analysis for supply chain resilience and shows how to compute it through a labeled property graph model. The computational result shows that the proposed graph data model is efficient for recursive and variable-length data in supply chain, and relationship-centric graph query language has capable of handling a wide range of business questions with impressive query time.

How Industry 4.0 Changes the Value Co-Creation Process

2021 ◽  
pp. 97-112
Author(s):  
Rebecca Castagnoli ◽  
Giacomo Büchi ◽  
Monica Cugno
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Industry 4.0 ◽  
Customer Value ◽  
Web Of Science ◽  
Research Question ◽  
Literature Analysis ◽  
Creation Process ◽  
Enabling Technologies ◽  
The Creation

The chapter analyses the literature on Industry 4.0 to understand the effect that Industry 4.0 has on customer co-creation process. The chapter is conceptual and is based on a literature analysis—conducted through ISI-Thompson Web of Science—that answers two research question: (RQ1) if and (RQ2) how the Industry 4.0 changes the customer value co-creation process. The results are summarized into a conceptual framework that shows how Industry 4.0 transforms the creation of value for customers, of customers, and with customers. The implications encourage managers and policymakers to implement a wider range of enabling technologies along the various phases of the supply chain and to adopt a new way to manage the company itself and the relations with customers involving them in the co-creation of products.

Application of the Order-Picking and Self-Organizing Maps Models to Optimize the Supply Chain

2019 ◽  
pp. 227-248
Author(s):  
Irving López-Santos ◽  
Gilberto Rivera ◽  
Saúl González
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Scientific Literature ◽  
Management Systems ◽  
Scientific Journals ◽  
Self Organizing Maps ◽  
Production Environments ◽  
Different Types ◽  
Bibliographic Search ◽  
Secondary Support

At present, the management systems of companies and Industry 4.0 are closely linked. However, technologies that promise to drastically help the efficiency of operations are not implemented in production floors and specifically in warehouses. This chapter shows a methodology of bibliographic search that determines the most recent optimization algorithms and with greater occurrence within the scientific literature. Editorials and scientific journals are also taken into account. The information is analyzed and shown in the conclusion part of the work. The conclusions indicate the hybrid algorithms with greater publication, their characteristics, the different types of metrics used for the implementation of optimization systems in production environments, and the secondary support algorithms used to cover the performance weaknesses of the main algorithms.

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

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