Digital Transformation

Author(s):  
Likhit Verma ◽  
Mohit Lalwani

Supply chain industry is undergoing massive digital transformation. However, the pace of transformation has been rather slow. One of the challenges in the transformation is that there is so much dependency among various digital technologies that if one is implemented without the other, it might lead to no value creation at all. Furthermore, some of these technologies are dependent on other technologies that are still in its early phase of adoption. The existing technologies (namely artificial intelligence, machine learning, augmented reality, internet of things, virtual reality, big data) are critical enablers for the digital supply chain network; however, to unleash the full potential of these technologies, an extensive data sharing and analysis is required. This will only be possible if there is a robust telecom network. 5G with its features of low latency, high bandwidth, higher speeds, and low power requirements is expected to fill the void and hence expedite the digital supply chain transformation.

Author(s):  
Ehap Sabri

In response to the dramatic changes in the business landscape over the last few years, many companies are launching business transformations leveraging digital technologies to drive sweeping changes in their supply chain processes. The digital supply chain transformation can be evident establishing collaborative forecasting processes, optimizing networks and inventories, etc. Digital supply chain transformation is not a new buzz word. It is the application of digital capabilities to processes, products, and assets to improve supply chain efficiency, enhance customer value, manage risk, and achieve competitive advantage. However, organizations are still facing numerous challenges to transform and perform. Perhaps the most common misunderstanding is that digital transformation is all about the implementation and use of cutting-edge technologies. This chapter will dive deep to understand major challenges to digital supply chain transformations, identify the key drivers and enablers of digital opportunity, and provide a change management framework for digital supply chain transformation.


Author(s):  
Ehap Sabri

In response to the dramatic changes in the business landscape over the last few years, many companies are launching business transformations leveraging digital technologies to drive sweeping changes in their supply chain processes. The digital supply chain transformation can be evident establishing collaborative forecasting processes, optimizing networks and inventories, etc. Digital supply chain transformation is not a new buzz word. It is the application of digital capabilities to processes, products, and assets to improve supply chain efficiency, enhance customer value, manage risk, and achieve competitive advantage. However, organizations are still facing numerous challenges to transform and perform. Perhaps the most common misunderstanding is that digital transformation is all about the implementation and use of cutting-edge technologies. This chapter will dive deep to understand major challenges to digital supply chain transformations, identify the key drivers and enablers of digital opportunity, and provide a change management framework for digital supply chain transformation.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Heidari ◽  
Din Mohammad Imani ◽  
Mohammad Khalilzadeh

Purpose This paper aims to study the hub transportation system in supply chain networks which would contribute to reducing costs and environmental pollution, as well as to economic development and social responsibility. As not all customers tend to buy green products, several customer groups should be considered in terms of need type. Design/methodology/approach In this paper, a multi-objective hub location problem is developed for designing a sustainable supply chain network based on customer segmentation. It deals with the aspects of economic (cost reduction), environment (minimizing greenhouse gas emissions by the transport sector) and social responsibility (creating employment and community development). The epsilon-constraint method and augmented epsilon-constraint (AEC) method are used to solve the small-sized instances of this multi-objective problem. Due to the non-deterministic polynomial-time hardness of this problem, two non-dominated sorting genetic algorithm-II (NSGA-II) and multi-objective grey wolf optimizer (MOGWO) metaheuristic algorithms are also applied to tackle the large-sized instances of this problem. Findings As expected, the AEC method is able to provide better Pareto solutions according to the goals of the decision-makers. The Taguchi method was used for setting the parameters of the two metaheuristic algorithms. Considering the meaningful difference, the MOGWO algorithm outperforms the NSGA-II algorithm according to the rate of achievement to two objectives simultaneously and the spread of non-dominance solutions indexes. Regarding the other indexes, there was no meaningful difference between the performance of the two algorithms. Practical implications The model of this research provides a comprehensive solution for supply chain companies that want to achieve a rational balance between the three aspects of sustainability. Originality/value The importance of considering customer diversity on the one hand and saving on hub transportation costs, on the other hand, triggered us to propose a hub location model for designing a sustainable supply chain network based on customer segmentation.


2021 ◽  
Vol 9 (4) ◽  
pp. 1366-1379
Author(s):  
Kevser Arman ◽  
Arzu Organ

In today's world where the importance of digitalization is increasing day by day, companies to increase their competitiveness have focused on digital supply chain instead of traditional supply chain. In a world where resources are constantly decreasing, the concept of sustainability has become very crucial in every part of life. Digital technologies, on the other hand, have a direct relationship with sustainability. Sustainability has three main dimensions: economic, environmental, and social. Therefore, the aim of this study is to evaluate digital supply chain on 3 basic dimensions of sustainability. For this purpose, Fuzzy Best Worst Method (F-BWM) was used to define the importance level of criteria. Findings reveal that the concept of sustainability in textile firms in Turkey is generally perceived within an economic and environmental area, rather than within a social dimension. This study is very important in putting forward digital technologies which utilizing in supply chain and the impact of the digital supply chain on sustainability.


Author(s):  
Dazhong Wu ◽  
Joe Teng ◽  
Sergey Ivanov ◽  
Julius Anyu

Previous empirical studies on bullwhip effects treat each industry or firm as isolated from its supply chain network. In this paper, the authors are interested in the role played by supply chain relational connection in moderating how demand variability signal is transmitted upstream. The paper conducts an empirical study based on a panel data of 55 manufacturing industries and 9 wholesale industries. The regression analysis shows that demand variability is propagated through supply chain upward and the transmission is influenced by the structural relationship between suppliers and customers, which is measured by customer-base concentration and customer interconnectedness. On the other hand, customer demand variability has a greater impact on industries with less concentrated customer base or with less interconnected customers.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hui Xia

In current large-scale supply chain networks, unexpected disruptions degrade the supply availability and network connectivity for modern enterprises. How to improve the robustness of supply chain networks is very important for modern enterprises. In this paper, we explore how to improve the robustness of supply chain networks from a topological perspective. Firstly, through the empirical data-driven study, we show that the directed betweenness metric is more suitable than the other topological metrics in evaluating the robustness of supply chain networks. Then, we propose a rewiring algorithm based on directed betweenness to improve network robustness under the impact of disruptions. The experimental results in the large-scale supply chain network show that the rewiring algorithm based on directed betweenness effectively improves the network robustness.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullah Fahad AlMulhim

PurposeThis study aims to explore the impact of digital transformation on firm performance with the help of smart technologies.Design/methodology/approachThis study used a valid and well-structured survey to collect data from 460 respondents from 150 Small and medium-sized enterprises (SMEs) in Saudi Arabia. In order to analyze this data, SmartPLS software was used.FindingsThe empirical results of this study found that the digital transformation has no significant direct impact on firm performance. Therefore, in this situation, smart technologies play an important role in developing the link between digital transformation and firm performance.Originality/valueThis study contributes to the digital supply chain from SMEs' perspective by investigating the mediating role of smart technologies between digital transformation and firm performance.


2020 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Katarzyna Nowicka

Supply chain managers constantly look for the resources that are able to enhance and improve supply chain competitiveness. This competitiveness is analysed mainly in the light of cost, time and quality of the customers’ service delivered by the supply chain management. Today one of the most important resource impacting on driving business in the competitive way are the digital technologies. This is mainly due to the fact that digital technologies are strongly changing the innovation level of the company and its performance. Therefore it is worth to analyse the influence of digital technologies on supply chain competitiveness in terms of cost, time and quality. The aim of this paper is to present the most important areas that are impacted by the digital technologies in improving of supply chain competitiveness. The results of the empirical research, conducted among 120 supply chain managers in 2018, show that the aspect of quality is the weakest point in terms of digital innovation impacting on supply chain competitiveness. Thus in the second part of the paper the analyses of the role of the customers experience have been done to understand the new approach to the role of digital technologies. The digital innovation is impacting the whole customers’ journey during their relation not only with the company, but with the supply chain – that is actually the organization of several independent companies. In this way digital technologies starting to be a central point of supply chain configuration for improving its competitiveness.


Author(s):  
Birsen Koldemir

Firms must deal with the factors that increase performance, which support the delivery of the produced goods at minimal cost and time. In this respect, the advantages of digitization have been studied. The path to international trade in its quest to reduce logistics and supply chain costs cross with Blockchain technology. Blockchain technology isn't only an inter-user money transfer technology, but it also includes all the trade supply chain actors. Thus, a visible “supply chain network” that's directed by blockchain, which holds the record in real time and doesn't change pursuant to the sequence occurs. All actors on the network can access and track the flow and distribution of the transaction across borders. How does blockchain technology improve yield and reduce costs? To find the answer, the application areas of digital technology in trade have been investigated. In international trade, a transaction draft was created and the advantages and disadvantages of blockchain were exposed.


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