Supply chains and supply networks: distinctions and overlaps

2013 ◽  
Vol 18 (6) ◽  
pp. 644-652 ◽  
Author(s):  
Christos Braziotis ◽  
Michael Bourlakis ◽  
Helen Rogers ◽  
James Tannock
2017 ◽  
Vol 114 (38) ◽  
pp. E7891-E7899 ◽  
Author(s):  
Timothy M. Smith ◽  
Andrew L. Goodkind ◽  
Taegon Kim ◽  
Rylie E. O. Pelton ◽  
Kyo Suh ◽  
...  

Corn production, and its associated inputs, is a relatively large source of greenhouse gas emissions and uses significant amounts of water and land, thus contributing to climate change, fossil fuel depletion, local air pollutants, and local water scarcity. As large consumers of this corn, corporations in the ethanol and animal protein industries are increasingly assessing and reporting sustainability impacts across their supply chains to identify, prioritize, and communicate sustainability risks and opportunities material to their operations. In doing so, many have discovered that the direct impacts of their owned operations are dwarfed by those upstream in the supply chain, requiring transparency and knowledge about environmental impacts along the supply chains. Life cycle assessments (LCAs) have been used to identify hotspots of environmental impacts at national levels, yet these provide little subnational information necessary for guiding firms’ specific supply networks. In this paper, our Food System Supply-Chain Sustainability (FoodS3) model connects spatial, firm-specific demand of corn purchasers with upstream corn production in the United States through a cost minimization transport model. This provides a means to link county-level corn production in the United States to firm-specific demand locations associated with downstream processing facilities. Our model substantially improves current LCA assessment efforts that are confined to broad national or state level impacts. In drilling down to subnational levels of environmental impacts that occur over heterogeneous areas and aggregating these landscape impacts by specific supply networks, targeted opportunities for improvements to the sustainability performance of supply chains are identified.


Author(s):  
Martin Hingley ◽  
Eliseo L. Vilalta-Perdomo

This theoretical chapter discusses the role that intermediaries may play in direct distribution, supply chains and supply networks. The first approach does not recognize benefits from striving for collaboration and avoids intermediaries' participation as much as possible. Conversely, the latter two emphasize the creation of economic and efficiency values, through the alignment of goals and resources directed by a stronger channel lead body. However, in the case of micro-producers, increasing these values is not the only motivation; lifestyle or esteem factors may be, for example, more potent drivers. The research extends multi-actor supply arrangements beyond chains and networks, by introducing the concept of supply communities. This is illustrated through a vignette of a regional food marketing umbrella group that plays an organizing role. Findings suggest intermediaries to act as triggers for collaboration. The complementary nature of the community approach suggests a framework for micro-businesses to strengthen their operations with existing traditional supply arrangements.


2010 ◽  
pp. 763-781 ◽  
Author(s):  
Kwok Hung Lau ◽  
Wun Leong Ma

As a result of globalization, supply chains of many large business organizations nowadays tend to cover wider geographic areas spanning across different countries and continents. The growth in length and complexity gradually replaces the traditional linear supply chains with extended supply networks comprising not only suppliers, manufacturers, distributors, and end customers, but also service providers. With the increasing use of third-party logistics (3PL) providers by international firms seeking integrated logistics services, many global 3PL providers are forming partnerships with large corporations to take care of the latter’s logistics operations in different regions. The selection of the right 3PL provider for alliance is therefore paramount to the success of global supply chain management. This article investigates the significance of this subject and proposes a supplementary framework for evaluation of 3PL providers as global logistics partners for international firms. The framework focuses on the core competencies of 3PL providers and their abilities to attain economies of scale helping users achieve their outsourcing objectives.


2009 ◽  
pp. 152-153
Author(s):  
Rana Tassabehji ◽  
James Wallace ◽  
Anastasios Tsoularis

The Internet has reached a stage of maturity where its innovative adoption and implementation can be a source of competitive advantage. Supply chains are one of the areas that has reportedly benefited greatly, achieving optimisation through low cost, high efficiency use of the Internet, almost seamlessly linking global supply chains into e-supply networks. This field is still in its academic and practical infancy, and there is a need for more empirical research to build a robust theoretical foundation, which advances our knowledge and understanding. Here, the main aims and objectives are to highlight the importance of information flows in e-supply chains/networks, and the need for their standardisation to facilitate integration, legality, security, and efficiency of operations. This chapter contributes to the field by recommending a three-stage framework enabling this process through the development of standardised Internet technology platforms (e-platforms), integration requirements and classification of information flows.


Author(s):  
Adam Dachowicz ◽  
Mikhail Atallah ◽  
Jitesh H. Panchal

Abstract We propose a method for ensuring traceability of metal goods in an efficient and secure manner that leverages data obtained from micrographs of a part’s surface that is instance specific (i.e., different for another instance of that same part). All stakeholders in modern supply chains face a growing need to ensure quality and trust in the goods they produce. Complex supply chains open many opportunities for counterfeiters, saboteurs, or other attackers to infiltrate supply networks, and existing methods for preventing such attacks can be costly, invasive, and ineffective. The proposed method extracts discriminatory-yet-robust intrinsic strings using features extracted from the two-point autocorrelation data of surface microstructures, as well as from local volume fraction data. By using a synthetic dataset of three-phase micrographs similar to those obtained from metal alloy systems using low-cost optical microscopy techniques, we discuss tailoring the method with respect to cost and security and discuss the performance of the method in the context of anticounterfeiting and how similar methods may be evaluated for performance. Cryptographic extensions of this methodology are also discussed.


Author(s):  
Adam Dachowicz ◽  
Mikhail Atallah ◽  
Jitesh H. Panchal

Abstract We propose a method for ensuring traceability of metal goods in an efficient and secure manner that leverages data obtained from micrographs of a part’s surface that is instance-specific (i.e., different for another instance of that same part). All stakeholders in modern supply chains face a growing need to ensure quality and trust in the goods they produce. Complex supply chains open many opportunities for counterfeiters, saboteurs, or other attackers to infiltrate supply networks, and existing methods for preventing such attacks can be costly, invasive, and ineffective. The proposed method extracts discriminatory-yet-robust intrinsic strings using features extracted from two-point autocorrelation data of surface microstructures. Using a synthetic dataset of three-phase micrographs similar to those obtained from metal alloy systems using low-cost optical microscopy techniques, we discuss the optimization of the method with respect to cost and security, and discuss the performance of the method in the context of anti-counterfeiting. Cryptographic extensions of this methodology are also discussed.


2021 ◽  
Vol 11 (9) ◽  
pp. 4103
Author(s):  
Kostas Kalaboukas ◽  
Joze Rožanec ◽  
Aljaž Košmerlj ◽  
Dimitris Kiritsis ◽  
George Arampatzis

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. The circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e., able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of cognitive digital twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. More emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.


Author(s):  
Kostas Kalaboukas ◽  
Jože Rožanec ◽  
Aljaž Košmerlj ◽  
Dimitrios Kyritsis ◽  
Georgios Arampatzis

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. Circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e. able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital Twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of Cognitive Digital Twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. Emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.


Author(s):  
Rana Tassabehji ◽  
James Wallace ◽  
Anastasios Tsoularis

The Internet has reached a stage of maturity where its innovative adoption and implementation can be a source of competitive advantage. Supply chains are one of the areas that has reportedly benefited greatly, achieving optimisation through low cost, high efficiency use of the Internet, almost seamlessly linking global supply chains into e-supply networks. This field is still in its academic and practical infancy, and there is a need for more empirical research to build a robust theoretical foundation, which advances our knowledge and understanding. Here, the main aims and objectives are to highlight the importance of information flows in e-supply chains/networks, and the need for their standardisation to facilitate integration, legality, security, and efficiency of operations. This chapter contributes to the field by recommending a three-stage framework enabling this process through the development of standardised Internet technology platforms (e-platforms), integration requirements and classification of information flows.


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