Blockchains for Value Creation and Supply Chain Optimization

2019 ◽  
pp. 28-44
Author(s):  
Arun N. Nambiar
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Value Creation ◽  
Large Scale ◽  
Market Information ◽  
Supply Chain Optimization ◽  
Point Of Sale ◽  
Planning Software ◽  
Highly Dispersed ◽  
Data Transparency

Managing today's highly dispersed and intertwined supply chain in order to maximize the overall organizational benefit by leveraging partner competencies is a herculean task and one that is of ever-growing importance in a highly competitive and truly globalized market. Information technology in the form of point-of-sale data, materials requirement planning software, and enterprise-wide systems have often been leveraged to assist with this. However, with the proliferation of data, storing, managing, and analyzing data on a large scale is a challenge. Blockchains provide numerous benefits such as data transparency, immutability, and traceability that are so critical in building a cohesive cyberinfrastructure that facilitates cooperation and collaboration among supply chain partners. This chapter examines the characteristics of blockchain that make it suitable for supply chains and explore how the benefits afforded by blockchain can be leveraged to enhance value creation while optimizing the supply chain.

Blockchains for Value Creation and Supply Chain Optimization

2021 ◽  
pp. 993-1009
Author(s):  
Arun N. Nambiar
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Value Creation ◽  
Large Scale ◽  
Market Information ◽  
Supply Chain Optimization ◽  
Point Of Sale ◽  
Planning Software ◽  
Highly Dispersed ◽  
Data Transparency

Managing today's highly dispersed and intertwined supply chain in order to maximize the overall organizational benefit by leveraging partner competencies is a herculean task and one that is of ever-growing importance in a highly competitive and truly globalized market. Information technology in the form of point-of-sale data, materials requirement planning software, and enterprise-wide systems have often been leveraged to assist with this. However, with the proliferation of data, storing, managing, and analyzing data on a large scale is a challenge. Blockchains provide numerous benefits such as data transparency, immutability, and traceability that are so critical in building a cohesive cyberinfrastructure that facilitates cooperation and collaboration among supply chain partners. This chapter examines the characteristics of blockchain that make it suitable for supply chains and explore how the benefits afforded by blockchain can be leveraged to enhance value creation while optimizing the supply chain.

Supply chain optimization of large-scale continuous processes

2005 ◽  
Vol 29 (6) ◽  
pp. 1305-1316 ◽  
Author(s):  
E.P. Schulz ◽  
M.S. Diaz ◽  
J.A. Bandoni
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Supply Chain Optimization ◽  
Continuous Processes

scholarly journals Supply chain optimization with variable demand by considering financial criteria and scenarios

2017 ◽  
Vol 26 (44) ◽  
pp. 21 ◽  
Author(s):  
John Willmer Escobar
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Net Present Value ◽  
Programming Model ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Supply Network ◽  
Distribution Centers ◽  
Supply Chain Optimization ◽  
Starting Point

This paper contemplates the supply chain design problem of a large-scale company by considering the maximization of the Net Present Value. In particular, the variability of the demand for each type of product at each customer zone has been estimated. As starting point, this paper considers an established supply chain for which the main problem is to determine the decisions regarding expansion of distribution centers. The problem is solved by using a mixed-integer linear programming model, which optimizes the different demand scenarios. The proposed methodology uses a scheme of optimization based on the generation of multiple demand scenarios of the supply network. The model is based on a real case taken from a multinational food company, which supplies to the Colombian and some international markets. The obtained results were compared with the equivalent present costs minimization scheme of the supply network, and showed the importance and efficiency of the proposed approach as an alternative for the supply chain design with stochastic parameters.

scholarly journals Supply chain optimization framework for CO2 capture, utilization, and storage in Germany

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Tuan B. H. Nguyen ◽  
Grazia Leonzio ◽  
Edwin Zondervan
Keyword(s):  
Supply Chain ◽  
Carbon Capture ◽  
Large Scale ◽  
Investment Strategies ◽  
The Novel ◽  
Supply Chain Optimization ◽  
Sources And Sinks ◽  
Transportation Modes ◽  
First Time ◽  
And Storage

Abstract In this study, the carbon capture, utilization, and sequestration (CCUS) supply chain network with real geographic locations of sources and sinks, and different CO2-based products for Germany is proposed here for the first time, because not yet investigated in the literature. The CCUS network is a large-scale comprehensive model which is used to meet the mandated target of CO2 emission reduction at different levels with a maximum profit. The novel CCUS infrastructure includes various stationary sources, capture processes, transportation modes, and sequestration and utilization sites. The results suggest that it is possible to reduce current CO2 emissions by 40–80% in Germany with the total annual costs ranging from 519.34 to 1372.03 billion euro while generating 681.55 to 1880.98 billion euro of revenue annually as a result of producing CO2-based chemical products including methanol, dimethyl ether, formic acid, acetic acid, urea, and polypropylene carbonate. Overall, the optimal CCUS systems achieve economic profits of 999.62–1568.17 euro per ton of CO2 captured and utilized. The CCUS model may be critical in aiding decision-makers to ascertain investment strategies for designing CCUS infrastructures.

Biofuel Supply Chain Optimization Using Lévy-Enhanced Swarm Intelligence

2020 ◽  
pp. 169-197
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Optimization Techniques ◽  
Optimal Decision ◽  
Supply Chain Optimization ◽  
Industrial Systems ◽  
Planning Optimization ◽  
Biofuel Supply Chain ◽  
Solution Methods ◽  
Optimal Decision Making

Supply chain planning/optimization presents various challenges to decision makers globally due to its highly complicated nature as well as its large-scale structure. Over the years various state-of-the-art methods have been employed to model supply chains. Optimization techniques are then applied to such models to help with optimal decision making. However, with highly complex industrial systems such as these, conventional metaheuristics are still plagued by various drawbacks. Strategies such as hybridization and algorithmic modifications have been the focus of previous efforts to improve the performance of conventional metaheuristics. In light of these developments, this chapter presents two solution methods for tackling the biofuel supply chain problem.

Supply chain integration, information technology, market orientation and firm performance in container shipping firms

2015 ◽  
Vol 26 (1) ◽  
pp. 82-106 ◽  
Author(s):  
Po-Hsing Tseng ◽  
Chun-Hsiung Liao
Keyword(s):  
Information Technology ◽  
Factor Analysis ◽  
Supply Chain ◽  
Firm Performance ◽  
Market Orientation ◽  
Supply Chain Integration ◽  
Container Shipping ◽  
Market Information ◽  
Content Type ◽  
It Application

Purpose – The purpose of this paper is to use a theoretical framework (i.e. resource-based view) to investigate causal relationships between the supply chain integration, market orientation, information technology (IT) application and firm performance of container shipping firms in Taiwan. Design/methodology/approach – The data are collected from 124 container shipping firms in Taiwan. The methodologies used in the paper are exploratory factor analysis, confirmatory factor analysis and structural equation modeling. Findings – The findings indicated that IT application and market orientation positively influence supply chain integration. It revealed that IT-based and market-oriented firms more easily integrate market information related to partners, departments and customers. Further, supply chain integration and market orientation have a positive effect on firm performance. Research limitations/implications – Such a result indicated a market-oriented firm quickly responds to market information and competitors’ strategies; and thus, it would make effort to offer satisfactory customer services in dynamically fluctuating markets, and obtain better firm performance. Also, the integration provides higher operation efficiency and obtains an enhanced performance improvement. Practical implications – The results also indicated that firms are able to develop their market-oriented strategies through electronic information transmission and exchange platform. Based on the study’s findings, managerial strategies are proposed to improve firm performance. Originality/value – This paper clarifies the concept of supply chain integration, market orientation and IT application in the context of container shipping, and investigates the inter-relationship between supply chain integration, market orientation, IT application and firm performance and develop a conceptual model in the context of container shipping.

Biofuel Supply Chain Optimization Using Random Matrix Generators

2020 ◽  
pp. 198-215
Keyword(s):  
Supply Chain ◽  
Random Matrix ◽  
Large Scale ◽  
Supply Chain Optimization ◽  
Heavy Atoms ◽  
Large Scale Problems ◽  
Biofuel Supply Chain

Supply chain problems are large-scale problems with complex interlinked variables. This sort of characteristic closely resembles structures often encountered in the nuclei of heavy atoms (e.g., platinum, gold or rhodium). Such structures are said to have the property of universality.

Change of Attitude, Technology and Practice: Identifying the Change for Increased Value Creation with Customer Co-creation

2017 ◽  
Vol 5 (1) ◽  
pp. 70-82
Author(s):  
Soumi Paul ◽  
Paola Peretti ◽  
Saroj Kumar Datta
Keyword(s):  
Social Media ◽  
New Product Development ◽  
Value Creation ◽  
Large Scale ◽  
Customer Orientation ◽  
Customer Relationships ◽  
Future Research ◽  
Management Competencies ◽  
Business Decisions ◽  
Prime Concern

Building customer relationships and customer equity is the prime concern in today’s business decisions. The emergence of internet, especially social media like Facebook and Twitter, changed traditional marketing thought to a great extent. The importance of customer orientation is reflected in the axiom, “The customer is the king”. A good number of organizations are engaging customers in their new product development activities via social media platforms. Co-creation, a new perspective in which customers are active co-creators of the products they buy and use, is currently challenging the traditional paradigm. The concept of co-creation involving the customer’s knowledge, creativity and judgment to generate value is considered not only an upcoming trend that introduces new products or services but also fitting their need and increasing value for money. Knowledge and innovation are inseparable. Knowledge management competencies and capacities are essential to any organization that aspires to be distinguished and innovative. The present work is an attempt to identify the change in value creation procedure along with one area of business, where co-creation can return significant dividends. It is on extending the brand or brand category through brand extension or line extension. This article, through an in depth literature review analysis, identifies the changes in every perspective of this paradigm shift and it presents a conceptual model of company-customer-brand-based co-creation activity via social media. The main objective is offering an agenda for future research of this emerging trend and ensuring the way to move from theory to practice. The paper acts as a proposal; it allows the organization to go for this change in a large scale and obtain early feedback on the idea presented. 

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