• The Journal of Information Systems
• /
• v.17 no.4
• /
• pp.321-340
• /
• 2008

Collaborative planning, forecasting and replenishment (CPFR) is the most recent successful management initiative that provides supply chain collaboration. By adopting CPFR, companies can dramatically improve the effectiveness of supply chain. The CPFR process has three major sub-processes; planning, forecasting and replenishment, which are formed by a number of steps. Despite the existence of a detailed and comprehensive process model, which is published by the Voluntary Interindustry Commerce Standards Association, in practice CPFR can take a number of different forms. Therefore, this research suggests that business process management system (BPMS) can be utilized as a base system on which a CPFR is consistently constructed and implemented, regardless of a number of its possible forms. We illustrate how a CPFR protype is implemented by using a BPMS and then describe how the prototype is agilely extended to adopt a variety of changes of CPFR collaboration process.

• Journal of Korea Society of Industrial Information Systems
• /
• v.24 no.4
• /
• pp.37-52
• /
• 2019

This study examines the effects of supplier dependence on supply chain relationships, communication practices, and relationship performance in manufacturing-part companies. The structural equation modeling technique with AMOS 23.0 was used to test hypotheses using data collected in the research model. The results show that supplier dependence positively affects supply chain relationships and communication practices. In addition, the results confirm the effect of supply chain relationships and communication practices on relationship performance. It is also demonstrated that supply chain relationships and communication practices through supplier dependence play a key role in improving relationship performance for supply chain management. Furthermore, it contributes to the practice of supply chain management as well as to efficiency through collaborative activities of supplier-buyer in the supply chain processes.

• IE interfaces
• /
• v.25 no.1
• /
• pp.79-86
• /
• 2012

Traditional business process management systems provide verification tools of process models to deploy and automate the models. However, there are not so many studies on how to maintain systematically collaborative process models such as supply chain processes when companies are willing to change and update the collaborative process models. In this paper, we analyze change patterns of collaborative processes and declare 19 change patterns. In addition, we apply the change patterns to the process interoperability patterns in order to identify the change problems in case of independent process changes of collaborative processes. As a result, we devise an independency checking algorithm of process changes in collaborative processes.

• Journal of Information Technology Applications and Management
• /
• v.11 no.1
• /
• pp.175-187
• /
• 2004

Many companies have integrated their internal processes with the aid of information technology. Now the focus is on interconnecting trading partners. Collaborative commerce (also known as c-Commerce) has a key role. It is not just about making it easier for business to communicate. It is about by breaking down barriers along the entire length of the supply chain. Some c-Commerce links are permanent, others get established when and where they are needed. c-Commerce is helping business in electronic supply chains to improve product delivery while cutting costs, to strengthen relationships and to reduce lead time. In this paper, we propose the concept of collaborative commerce, and design and implement Collaborative Commerce Portal (CCP) system of small and medium enterprise for marketing support. The technical definition of CCP is set of all technical elements can do collaborative commerce between small and medium enterprises with Internet or Internet. The target information of CCP includes usual and unusual information and all other information of companies used as process events. Through this, it enhances efficiency of business processes, core information sharing and marketing activation.

• Korean Management Science Review
• /
• v.18 no.2
• /
• pp.39-60
• /
• 2001

This Paper deals with a collaborative decision making procedure of web-based DSS for supply chain management (SCM). The seemingly autonomous DSS dedicated to each of mutually exclusive prob1em domains forms a communication network and cooperates each other for better SCM decision making. We a1so propose a hub-spoke information sharing model for the DSS network. In the hub-spoke model, an information hub at the center facilitates information exchange between DSS\\`s and controls the conversations defined by the series of XML messages between agents of DSS. A product ordering scenario where supply decision is triggered upon customer order is used to demonstrate the SCM decision procedure through a collaboration of the web-based DSS.

• Proceedings of the Safety Management and Science Conference
• /
• 2003.11a
• /
• pp.151-160
• /
• 2003

The company was focusing on production which was partial mission rather than acquiring the information of customer in intensive process industry. The company accepted loss which is from over-production, losing of opportunity. After changing to Web environment, supply chain is more complicated and need of customer is more various. As a result the company hard works on controlling production rates, production quantities in production area and gathering exact information which is about available resource and available quantities. Cooperated demand planning have to get decreasing of inventory, improving of customer service in supply chain management. Specially demand planning that considers allocation of capacity is executed in Iron-Industry. Demand planning must be classified by customer, region and supply position level.

• Journal of Korea Trade
• /
• v.27 no.1
• /
• pp.19-41
• /
• 2023

Purpose - Conventional supply chains (SCs) must identify facilitating roles, such as port or terminal operators, shipping companies, and freight forwarders in executing the various logistical activities that support the organizational strategies of shippers. Meanwhile, supply chain collaborative practices can engender a willingness to share relevant and mutually helpful information. To this end, this study seeks to identify the impact of supply chain integration (SCI) on information sharing (IS) and the operational performance (OP) of Korea's container-shipping industry from the perspective of social capital. Design/methodology - We established the research model for this study based on previous studies. In administering the survey, we obtained 149 valid responses from employees working in liner-shipping companies and freight forwarders in Korea. With the collected questionnaires, the study's hypotheses were tested using SPSS 26.0 and AMOS 26.0 Findings - The results indicate the existence of a mediated relationship where the impact of SCI on OP is mediated by IS. The effect of external integration (EI) on OP is fully mediated by information quality (IQ) and information-sharing content (ISC). Furthermore, EI, IQ and ISC partially mediate the relationship between internal integration (II) and OP. Originality/value - This study expands SCI contexts, where ISC and IQ respectively serve as bridges between EI and OP which has crucial implications for container-shipping companies in terms of improving their performance.

• Journal of Distribution Science
• /
• v.17 no.9
• /
• pp.5-13
• /
• 2019

Purpose - This study investigates the key features of Quick Response as the fundamental form of supply chain collaboration by reviewing the selected past studies. Based on the findings from the literature review, this study provides the guideline for future researchers and business practitioners who search for more advanced collaboration programs. Research design, data, and methodology - This study conducts the literature review on the past studies that had researched Quick Response. The selected studies are analyzed in terms of how to represent Quick Response in the models and which issue to address. Results - This study finds that the past studies lack a unified concept of Quick Response, and they fail to provide the consistent guideline on how to run this program in practices. The literature review also shows that only a small number of research issues has been addressed by most researchers. Conclusions - On the purpose of figuring out the real value of Quick Response, this study suggests that future studies apply its extensive application to the entire supply chain system. This study also shed light on the potential of Quick Response to be a more advanced supply chain collaboration program with additional collaborative functions other than information sharing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.155-156
• /
• 2021

The development history of China's big data is relatively short, and it has only been ten years so far. Although the application level of big data in real life is not high, some achievements have been made in the supply chain. Various kinds of data will be generated in the actual operation of the supply chain. If these data can be effectively classified and used, the "bullwhip effect" of the operation of the supply chain can be also effectively improved. Thus this paper proposes the development of a supply chain collaborative inventory management model and application framework using big data.

• Journal of Distribution Science
• /
• v.16 no.2
• /
• pp.19-24
• /
• 2018

Purpose - Drone delivery is expected to revolutionize the supply chain industry. This paper aims to introduce a collaborative parcel delivery problem by truck and drone (hereinafter called "TDRP") and propose a novel heuristic method to solve the problem. Research design, data, and methodology - To show the effectiveness of collaborative delivery by truck and drone, we generate a toy problem composed of 9 customers and the speed of drone is assumed to be two times faster than truck. We compared the delivery completion times by 'truck only' case and 'truck and drone' case by solving the optimization problem respectively. Results - We provide literature reviews for truck and drone routing problem for collaborative delivery and propose a novel and original heuristic method to solve the problem with numerical example. By numerical example, collaborative delivery is expected to reduce delivery completion time by 12~33% than 'truck only' case. Conclusions - In this paper, we introduce the TDRP in order for collaborative delivery to be effective and propose a novel and original heuristic method to solve the problem. The results of research will be help to develop effective heuristic solution and optimize the parcel delivery by using drone.