• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.53-60
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• 2018

Domestic public e-procurement has been recognized excellence at home and abroad. However, it is difficult for procurement companies to check the related announcements and to grasp the status of procurement announcements at a glance. In this paper, we propose an e-Procurement Announcement Analysis Support System using the HDFS, HDFS, Apache Spark, and Collaborative Filtering Technology for procurement announcement recommendation service and procurement announcement and contract trend analysis service for effective e-procurement system. Procurement announcement recommendation service can relieve the procurement company from searching for announcements according to the characteristics and characteristics of the procurement company. The procurement announcement/contract trend analysis service visualizes the procurement announcement/contract information and procures It is implemented so that the analysis information of electronic procurement can be seen at a glance to the company and the demand organization.

• The Journal of Information Systems
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• v.30 no.1
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• pp.151-177
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• 2021

Purpose This paper aims to improve management performance by effectively responding to production needs and reducing inventory through synchronizing production planning and procurement in the aviation industry. In this study, the differences in production planning and execution were first analyzed in terms of demand, supply, inventory, and process using the big data collected from a domestic aircraft manufacturers. This paper analyzed the problems in procurement and inventory management using legacy big data from ERP system in the company. Based on the analysis, we performed a simulation to derive an efficient procurement and inventory management plan. Through analysis and simulation of operational data, we were able to discover procurement and inventory policies to effectively respond to production needs. Design/methodology/approach This is an empirical study to analyze the cause of decrease in inventory turnover and increase in inventory cost due to dis-synchronize between production requirements and procurement. The actual operation data, a total of 21,306,611 transaction data which are 18 months data from January 2019 to June 2020, were extracted from the ERP system. All them are such as basic information on materials, material consumption and movement history, inventory/receipt/shipment status, and production orders. To perform data analysis, it went through three steps. At first, we identified the current states and problems of production process to grasp the situation of what happened, and secondly, analyzed the data to identify expected problems through cross-link analysis between transactions, and finally, defined what to do. Many analysis techniques such as correlation analysis, moving average analysis, and linear regression analysis were applied to predict the status of inventory. A simulation was performed to analyze the appropriate inventory level according to the control of fluctuations in the production planing. In the simulation, we tested four alternatives how to coordinate the synchronization between the procurement plan and the production plan. All the alternatives give us more plausible results than actual operation in the past. Findings Based on the big data extracted from the ERP system, the relationship between the level of delivery and the distribution of fluctuations was analyzed in terms of demand, supply, inventory, and process. As a result of analyzing the inventory turnover rate, the root cause of the inventory increase were identified. In addition, based on the data on delivery and receipt performance, it was possible to accurately analyze how much gap occurs between supply and demand, and to figure out how much this affects the inventory level. Moreover, we were able to obtain the more predictable and insightful results through simulation that organizational performance such as inventory cost and lead time can be improved by synchronizing the production planning and purchase procurement with supply and demand information. The results of big data analysis and simulation gave us more insights in production planning, procurement, and inventory management for smart manufacturing and performance improvement.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.567-570
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• 2006

Recently because of rising of international oil prices, plant industry market has been active and purchase orders of big project are tending upwards. For strengthening of overseas plant competitive power and successful project operating, it is essential the project management technology and method. but procurement management of plant industry has evaluated uncompetitive. In this study, we analyzed the process of procurement founded and main contents and information. we study flowing of procurement information. user and creation time though detailing procurement information, then, we suggest the Contents Classification System and Management Model of Procurement Information.

• Agribusiness and Information Management
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• v.5 no.1
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• pp.31-41
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• 2013

The research assesses the impact of a digital procurement (e-purjee) system for sugarcane growers in Bangladesh. The system itself is simple, transmitting purchase orders to local farmers via SMS text notification. It replaces a traditional paper-based system fraught with low reliability and delivery delays. Applying expected value theory, and using decision tree representations to depict growers' decision-making complexity in an information-asymmetric environment, we compute outcomes for the strategies and sub-strategies of ICT vs. traditional paper-based order management from the sugarcane growers' perspective. The study results show that the digital procurement system outperforms the paper-based system by tangibly reducing growers' economic losses. The digital system also appears to benefit growers non-monetarily, because of reduced uncertainty and a higher level of perceived fairness. Sugarcane growers appear to value the non-monetary benefits even higher than the economic advantages of the e-purjee system.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.4
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• pp.398-407
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• 2008

We consider a product recovery system that a single product is stocked in order to meet a demand from customers who may return products after usage. This paper addresses a problem of when to release a procurement process to replenish serviceable inventory and how many new products to procure. The structure of the optimal procurement policy is examined and numerically identified as a monotonic threshold curve. A numerical procedure is presented to jointly find the optimal procurement order size, optimal procurement policy, and optimal discounted profit. Sensitivity analysis also indicates that these optimal performance measurements have monotonic properties with respect to system parameters.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.1043-1054
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• 2002

This paper intends to suggest a XML-based secure E-Procurement system using Unified Modeling Language(UML), as an application system for domestic automobile industry. Applying UML methodology, which is Component-based Development (CBD), we analyzed the workflow on procurement operation of automobile industry and implemented a prototype of efficient E-Procurement system for automobile industry, by developing XML/EDI and XML signature. Also, on this paper, object-oriented CBD is employed to minimize the risk of life cycle and reuse software as mentioned to limitation of information engineering methodology. It enables the interoperability with ERP (Enterprise Resource Planning) as corporate legacy system. This system proposes a solution to apply analysis and design of workflow, component development, interoperability with corporate information system, and XML signature for integrity and authentication of electronic documents in other system so far.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.25-41
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• 2010

F&B(food and beverage) in accommodation industry is a key service that determine the satisfaction of customers in tourism industry. As the importance of the management of quality gets increasingly highlighted in service industry, the innovation in the management of service quality and satisfaction in tourism industry is gaining high attention. In this research, we focused on the improvement and innovation of the management of procurement process for F&B service based on the smart use of information technology. A case and scenario analysis of the improvements in the management of procurement process is performed focusing on a medium-size accommodation business. Future opportunities and potential of further IT-based innovation is discussed.

• Information Systems Review
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• v.5 no.2
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• pp.53-69
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• 2003

This paper tried to find how the characteristics of purchasing items would have influence on the relational e-procurement. The characteristics of purchasing items include the importance and the complexity of purchasing items. In order to define these characteristics, this paper reviewed various literatures about purchasing strategies. The empirical analysis through the multi-nominal logistic regression shows that the importance of items has influence on relational e-procurement, while the complexity of purchasing process has little influence. And also, the relational e-procurement through EDI as a long term buying relationship is being converted toward the exchange through purchasing sites.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.442-445
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• 2003

The purpose of this study is to present an improved lift-up & procurement work flow for effectiveness of resources increase in building construction. The current lift-up & procurement work flow has some waste factors; complicated information system, connection lack with process and decision-making delay. Therefore the study applied the value stream mapping methodology for improvement of current lift-up & procurement work flow. The main contents of the study are as follows; 1) A problem of current work flow were analyzed through current state mapping(CSM). 2) An improved work flow was suggested through future state mapping(FSM). 3) An improvement effect analysis of information system and lift-up planning The study recommends that continuous improvement of lift-up & procurement work flow and efficient management of information in building construction.

• Korean Journal of Construction Engineering and Management
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• v.5 no.1 s.17
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• pp.133-139
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• 2004

The purpose of this study is to present an improved lift-up &procurement work flow for effective resource utilization in building construction. The current lift-up &procurement work flow has some waste factors; complicated information system, connection lack with process and decision-making delay. Therefore the study applied the value stream mapping methodology for improvement of current lift-up &procurement work flow. The main contents of the study are as follows; 1) Problems of current work flow were analyzed through current state mapping(CSM). 2) An improved work flow was suggested through future state mapping(FSM). 3) An improvement effect analysis of information system and lift-up planning was investigated. The study recommends continuous improvement of lift-up &procurement work flow and efficient management of information in building construction as a future research.