scholarly journals Contract-Boundary-Spanning Governance Initiatives in the International Defense Supply Chain of the F-35 Program

2021 ◽  
pp. 219-242
Author(s):  
Tom De Schryver ◽  
Gert Demmink

AbstractInternational cooperation in the American-led F-35 program inherently triggers national security concerns. Consequently, the multiple exports in the supply chain are subject to intricate licensing and export controls. Drawing on insights from governance and contract theory we introduce a theoretical lens that highlights some important trade compliance challenges in supply chain networks. In this chapter, contract-boundary-spanning governance mechanisms are defined as increasingly sophisticated hard or soft governance mechanisms in the private law sphere that can be deployed by any public or private stakeholder to govern international supply chains. We find contract-boundary-spanning governance initiatives by state and private stakeholders in the defense supply chain of the F-35 program. At the same time, we argue that while serious efforts have been made by various state actors and legislators to reduce the burden in trade compliance requirements in the F-35 program, the industry is still facing a considerable number of compliance challenges. We argue that more contract-boundary-spanning initiatives by the private parties in defense supply chain network are needed if these challenges are to be successfully overcome.

2018 ◽  
Vol 2018 ◽  
pp. 1-18
Author(s):  
Tirazheh Zare-Garizy ◽  
Gilbert Fridgen ◽  
Lars Wederhake

Globalization and outsourcing are two main factors which are leading to higher complexity of supply chain networks. Due to the strategic importance of having a sustainable network, it is necessary to have an enhanced supply chain network risk management. In a supply chain network many firms depend directly or indirectly on a specific supplier. In this regard, unknown risks of network’s structure can endanger the whole supply chain network’s robustness. In spite of the importance of risk identification of supply chain network, firms are not willing to exchange the structural information of their network. Firms are concerned about risking their strategic positioning or established connections in the network. The paper proposes to combine secure multiparty computation cryptography methods with risk identification algorithms from social network analysis to address this challenge. The combination enables structural risk identification of supply chain networks without endangering firms’ competitive advantage.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amir Rahimzadeh Dehaghani ◽  
Muhammad Nawaz ◽  
Rohullah Sultanie ◽  
Tawiah Kwatekwei Quartey-Papafio

PurposeThis research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.Design/methodology/approachSince the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.FindingsA novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.Originality/valueBy building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.


2019 ◽  
Vol 15 (2) ◽  
pp. 54-68 ◽  
Author(s):  
Jian Tan ◽  
Guoqiang Jiang ◽  
Zuogong Wang

In the supply chain network, information sharing between enterprises can produce synergistic effect and improve the benefits. In this article, evolutionary game theory is used to analyse the evolution process of the information sharing behaviour between supply chain network enterprises with different penalties and information sharing risk costs. Analysis and agent-based simulation results show that when the amount of information between enterprises in supply chain networks is very large, it is difficult to form a sharing of cooperation; increase penalties, control cost sharing risk can increase the probability of supply chain information sharing network and shorten the time for information sharing.


2013 ◽  
Vol 27 (1) ◽  
pp. 0-0
Author(s):  
Piotr Stawiński

For the past few decades SCM has been one of the main objectives in research and practice. Since that time researchers have developed a lot of methods and procedures which optimized this process. To create an efficient supply chain network the resources and factories must be tightly integrated. The most supply chain network designs have multiple layers, members, periods, products, and comparative resources constraints exist between different layers. Supply chain networks design is related to the problems which are very popular in literature. The subject of this paper is to present the variants, configurations and parameters of genetic algorithm (GA) for solving supply chain network design problems. We focus on references from 2000 to 2011. Furthermore, current trends are introduced and discussed.


Author(s):  
Fang Yu ◽  
Chun Zhang ◽  
Yongsheng Yang

This research aims to prompt agents to improve their strategies initiatively in order to decrease carbon dioxide emissions and enhance green factors during production and consumption processes. An incentive negotiation mechanism is proposed for agents in supply chains to improve their strategies. Multiple items, multiple attributes, and multiple echelons are involved in the proposed model. In addition, this research takes both the commerce and the environmental attributes into account. The environmental attributes were transformed into rewards or penalty by setting reward factors or penalty factors, and were taken into account during the calculation of the profits. The simulation results show that the proposed model was feasible to solve the complex negotiation problems, and had a good performance. The green factors of agents in the green supply chain network are increased when the agents have low initial green factors. Moreover, the proposed model can effectively reduce the carbon dioxide emissions as well. The proposed model can be seen as a “win–win” solution from the perspective of both business and environmental protection. The total profit of the green supply chain network is improved, and the harm to the environment is decreased as well.


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 13 (19) ◽  
pp. 10925
Author(s):  
Luis Francisco López-Castro ◽  
Elyn L. Solano-Charris

Nowadays, Supply Chain Networks (SCNs) must respond to economic, environmental, social, and uncertain considerations. Thus, sustainable and resilience criteria need to be incorporated as key criteria into the Supply Chain Network Design (SCND). This paper, as part of an emerging subject, reviews the literature between 2010 and 2021 that integrates sustainability and resilience on the SCND. The article classifies the literature according to the levels of the SCND, levels of the decision-making (i.e., strategic, tactical, and operational), resilience and sustainability criteria, solving approach, objective criteria, contributions to the Sustainable Development Goals (SDGs), and real-world applications. The main findings allow us to conclude that the decisions regarding the supply chain network design with sustainability and resilience criteria are mainly strategic, focusing on the forward flow. Most works address resilience through the evaluation of scenarios (risk assessment perspective), and in terms of the sustainability perspective, authors mainly focus on the economic dimension through the evaluation of income and costs along the chain. Based on the review and the proposed taxonomy, the paper proposes ideas for future research.


Author(s):  
Rajni Goel

Cloud computing has become a force multiplier for organizations as they realize the benefit from the shared computing platforms and services offered by cloud computing. Providers market shared computing platforms and services because of their convenience, dynamism, elasticity, and scalability to meet the growing demands of organizations, specifically in widespread supply chain networks. Yet, the issuance of trust has become a concern in the cloud web as cloud computing service technologies advance faster than measures to secure it. This research presents a framework to determine which specific supply chain functions can derive the most value from cloud capabilities and to understand how to leverage these technologies strategically to develop a competitive advantage. It proposes a strategic integration of cloud functionalities to create profitable supply chain network partnerships and to improve the processes, quality and innovation potential in the overall Supply Chain Management (SCM), while maintaining a trusted cloud environment.


2011 ◽  
Vol 2011 ◽  
pp. 1-27 ◽  
Author(s):  
Ashkan Hafezalkotob ◽  
Ahmad Makui ◽  
Seyed Jafar Sadjadi

An integrated equilibrium model for tactical decisions in network design is developed. We consider a decentralized supply chain network operating in markets under uncertain demands when there is a rival decentralized chain. The primary assumption is that two chains provide partial substitutable products to the markets, and markets' demands are affected by tactical decisions such as price, service level, and advertising expenditure. Each chain consists of one risk-averse manufacturer and a set of risk-averse retailers. The strategic decisions are frequently taking precedence over tactical ones. Therefore, we first find equilibrium of tactical decisions for each possible scenario of supply chain network. Afterwards, we find optimal distribution network of the new supply chain by the scenario evaluation method. Numerical example, including sensitivity analysis will illustrate how the conservative behaviors of chains' members affect expected demand, profit, and utility of each distribution scenario.


2013 ◽  
Vol 13 (1) ◽  
pp. 47-70 ◽  
Author(s):  
T. Gagalyuk ◽  
J.H. Hanf ◽  
M. Hingley

This article develops the theoretical foundations of supply chain network management in order to investigate the constructs surrounding whole chain success rather than just success at firm level. It is argued that the ‘network success’ link has been under-studied, with most empirical studies focusing on the achievement of goals by an individual firm in a network context. A model of the whole network's success in the context of supply chain networks in food industry supply chain relationships is used. The results identify that network-level goals must be considered alongside firm-level goals in supply chain networks. Furthermore, network-level goals are subject to the impacts of chain management and have to be of particular interest for focal firms that are responsible for the development and implementation of collective strategies.


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