• Steel and Composite Structures
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• v.51 no.1
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• pp.43-51
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• 2024

In the current study, we aim to evaluate both microstructural characteristics and economic benefits of composite structures from supply chain utilizing AI-based method. In this regard, the various aspects of microstructure of composite materials along with the features of supply chain are discussed and quantified. In addition, the final economic aspects of the composite materials and are also presented. Based on available data, a designed artificial neural network is utilized for prediction of both microstructure and economical feature of the composite material. The results indicate that the supply chain could affect the microstructure of final composite materials which in turn make changes in the mechanical properties and durability of composite materials.

• Agribusiness and Information Management
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• v.5 no.1
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• pp.1-10
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• 2013

Competition in supply chain has moved from between being organizations to between supply chain. To enhance competitiveness in supply chain, there is a need for organisations to establish and manage collaborative relationships among supply chain partners and share operational and strategic information timely and accurately. As a result, food supply chain partners have adopted of inter organisational information systems (IOIS) such as EDI, IEDI, RFID, internet, and extranets to facilitate exchange of information, streamline production and to effectively manage inventory processes so as to deliver value to the customer. Together with IOIS, cybermediaries also plays a key role in facilitating agriculture and food supply chain. This paper investigates the role and significance of IOIS and cybermediaries in facilitating agriculture and food supply chain. Convergent interviewing was conducted with agriculture producers, food processors and retailers. The study identified logistics, supply chain and customer services benefits perceived from implementing IOIS and utilising cybermediaries services in the food supply chain. To conclude the conceptual paper outlined managerial implications and areas for future research.

• The Journal of Information Systems
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• v.24 no.4
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• pp.43-60
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• 2015

Purpose This study intended to introduce new approaches to identify the intellectual structure of supply chain management(SCM) researches, which combines author co-citation analysis(ACA) and social network analysis(SNA). Design/methodology/approach We searched RISS(www.riss.kr) and NDSL(www.ndsl.or.kr) database and collected 292 academic papers on supply chain management between 2001 and 2011. Among 9,637 references of these papers, we analyzed 1,848 references that were published by domestic authors. We produced a correlation matrix of 32 author co-citation matrix and conducted multi-variate statistical analysis such as factor analysis. We also performed social network analysis to identify the main researchers in SCM. Findings We found four main sub-areas of supply chain management research: SCM adoption factors, logistics, SCM performance, and SCM structure. We could present the authors who played important roles within the network by using SNA indicators. The finding of this research also suggests more collaborations among domestic researchers are required to overcome the low co-citation rates among domestic authors.

• Journal of Information Technology Applications and Management
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• v.30 no.6
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• pp.1-15
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• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.139-150
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• 1997

• The Journal of Information Systems
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• v.19 no.1
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• pp.79-96
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• 2010

The organizations in the competitive business environment are under pressure of handling internal management processes as well as external supply chain issues. In addition, the paradigm of supply chain management (SCM) has been shifted from static to dynamic problems. For the efficient SCM, organizations should be a RTE (Real Time Enterprises) that views entire supply chains as a single entity. In this paper, the agent system that makes RTE and dynamic supply chains possible is developed. Then, the developed agent system is verified in the TAC SCM(Trading Agent Competition Supply Chain Management) experimental environment and a dashboard is also developed for monitoring management activities of supply chains. The contributions of this paper are as followings. First, unlike the previous agent systems, the suggested agent system in this paper provides autonomy and scalability using SOA. Second, this suggested model for dynamic environment can be applied for the development of software supporting a SCM.

• Korean Management Science Review
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• v.29 no.2
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• pp.35-52
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• 2012

Although many prior studies have investigated the relationship between supply chain and new product development (NPD), the causal relationship between them has not been clearly established. Therefore, this study investigated systematically over the entire process of supply chain management (SCM) from trust to NPD capability, including not only the associations between trust, commitment, collaboration, supply chain quality, and NPD capability, but also the impact of organizational culture in the context of supply chain. In particular, this study examined the mediating effect of commitment on the relationship between trust and collaboration of channel members. In addition, it studies the moderating effect of organizational culture on the relationship between collaboration, supply chain quality, and NPD capability. Using a questionnaire survey, 112 usable responses are obtained. PLS (partial least square) is employed to assess the relationships among related constructs. The results of the data analysis show that (1) commitment mediates the link between trust and collaboration (2) supply chain quality is positively associated with NPD capability, and (3) organizational culture significantly moderates the association between collaboration and supply chain quality, yet it does not the relationship SC quality and NPD capability. Finally, the implications of the results are discussed, and directions for future research are suggested.

• The Journal of Information Technology
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• v.1 no.1
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• pp.1-11
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• 1998

Today's firms face task of achieving competencies in two somewhat mutually exclusive areas. That is, due to fierce competition in the market, firms need to provide better products and services without losing cost advantage. In this respect, effective logistics management is one of the process that can yield a foundation of competitive advantage. Many firms are already using integrative supply chain management to achieve mutual goals of each firms within the supply chain. However, it is highly likely that inefficiency will occur because of different operations systems and organizational characters of each firms. Information system is receiving attentions as to reduce inefficiencies and gain competitive advantage. This study analyzes the effects of information integration on logistics performance to search the role of information system in supply chain management.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.1
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• pp.69-84
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• 2011

In this study, based on the principal-agent paradigm, we investigate a joint cost reduction activity in a buyer-supplier supply chain where a buyer motivates its operations department and a supplier to reduce the supply chain's production cost. We construct a benefit-sharing model based on the target cost scheme, a basic philosophy in practice which has not been explored in previous studies. The model also incorporates various supply chain issues such as the cooperation of multiple agents, the opportunity loss, and the degree of strategic relationship between the buyer and the supplier. Based on the analysis of the principal-agent model, we investigate the benefit-sharing rule to control agents' actions, and we also provide important managerial implications into supply chain practices via extensive comparative static analyses.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.1
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• pp.25-36
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• 2006

Consider a supply chain in which a vendor supplies a product to a buyer. We assume that the buyer's and vendor's inventory cost structures are different, resulting in differences in inventory order/delivery cycle times. Here, if one party insists on its individually optimal order/delivery quantity, the other party will suffer from mismatches in cycle times. Under this scenario, coordination contracts that make use of either a Net Term/Two parts Term Trade Credit or a Quantity Discount are designed to align individually optimal order Quantities. We compare and analyze the perform ances of these contracts. The focus of the comparison is the ability of contracts to generate a lower cost for the supply chain. We show that a Trade Credit policy can be effectively used to coordinate a supply chain. In many cases it will result in a lower supply chain cost compared to that achieved by using a Quantitative Discount policy.