• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.338-341
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• 2003

CPFR (Collaborative Planning, Forecasting and Replenishment)은 기존의 공급망 개선에 관한 어플리케이션이 갖는 문제점인 정보의 부정확성, 시스템의 단절, 관련 기업 간 협력의 부족 등과 같은 여러 장해요소들을 극복하기 위한 목적으로 설계된 최신 비즈니스 모델로서, 이는 공급망의 총재고를 최소화하기 위해서 공급망의 모든 구성원들이 최종소비자의 실제 수요정보에 근거하여 계획(Planning), 예측(Forecasting), 그리고 보충(Replenishment)을 시스템 상에서 협력적으로 결정하는 것이다. 본 연구에서는 구성원들 간에 발생할 수 있는 예외적인 사항들을 CPFR시스템의 예측단계에서 판별하고, 그러한 예외 사항들을 역동적으로 다루기 위한 지식기반 협업 에이전트 시스템(Knowledge-Based Collaboration Agent System)을 제시한다. 또한 지능적 추론(Reasoning)과 학습(Learning)을 통해 구성원들에게 예외 사항에 대한 최적의 해결안을 제시함으로써 협업 시스템의 자동화를 구현한다.

• The Journal of Information Systems
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• v.17 no.4
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• pp.321-340
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• 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 Korean Elementary Science Education
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• v.18 no.2
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• pp.35-46
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• 1999

The most of elementary school science textbook contents are composed of observation and experiment activities. When students study natural phenomena, observation and experiment are st rongly emphasized to improve understanding of scientific concepts and inquiry abilities. The purpose of this study is deep understanding about experimental science classes. This ethnographic study is conducted by observations of experimental science classes in natural setting and interviews of teachers, students of the 5th grade. The conclusions of this study are as follows: First, the general process of the elementary science experimental classes is 'identifying learning purposes -1 planning experiments -1 predicting the results -1 experimenting-t summarizing the results.' The experiments are conducted by group activities and the teachers conceived that the me st difficult step considered by students is 'planning experiments'. Second, students like hands-on activities, but they feel difficulty on less guided experiments. Students perform results oriented-activities. Third, in group activities, students prefer to work with the same gender or collaborative peers.

• Korean Journal of Computational Design and Engineering
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• v.15 no.6
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• pp.425-439
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• 2010

The current challenge with which most shipyards are forced is to reduce the design time and the time-to-delivery because of explosive order of shipbuilding. Collaborative design and product data management have become important to reduce the lead time. Furthermore, enterprise information technologies such as ERP (Enterprise Resource Planning), SCM (Supply Chain management), and APS (Advanced Planning System) requires the collaborative environment. Also, manufacturing environment has been considered as a topic of strategic interest to get shorter product lifecycles in shipyards. Most shipyards have chosen an environment of ETO (Engineering To Order) strategy which designs and produces new products in response to various requirements of customer, rules and regulations. In the ATO (Assemble 10 Order) environment, most component parts have been designed to be procured or produced on the order requirement. The basic distinction between the ETO and ATO is the timing of the design. Thus in the ATO environment, it is more flexible in reducing the lead time to meet the specified requirements of customers. However, the ETO strategy requires new ship design process and ship product structures that are linked with the implementation of PLM. And, the function and architecture of current PLM solution has been designed based upon ATO environment properly. This paper presents the PLM architecture which effectively reflects the characteristics of shipbuilding. 4-layer architecture model is suggested to implement the PLM system. Also, implemented functions of ship PLM is explained in order to make a practical guidance for ship PLM implementation.

• Korean Journal of Computational Design and Engineering
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• v.9 no.4
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• pp.406-415
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• 2004

The industrial environment for shipbuilding in 21st century requires increase in few type of ships and marine structures, international cooperation and globalization, while virtual enterprise environment is rapidly establishing. On the other hand, more and more efforts will be spent on internet based distributed and collaborative environment rather than being spent on unit level automations such as CAD, CAM and CAE, and the link between them. Recent internet technology and information technology in heterogeneous environment are being applied in shipbuilding industry as well as in other industries. While these technology are rapidly adopted in major shipyards, many small and medium-sized shipyards does not have enough resources to introduce system designed for large enterprise. In this paper, a prototype of Internet technology based basic planning system is implemented for the small and medium sized shipyards based on the internet technology and concurrent engineering concept. First, the system is designed from the user requirements. Then standardized development environment and tools are selected. These tools are used for defining and evaluating core application technologies for the system development. This can guarantee the survival of small and medium-sized shipyards in 21st century industrial environment.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.170-176
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• 2011

When the process of planning and production of Pororo is to be analyzed, scientific and meticulous contents planning which considered even cultural discount, and collaborative business partnership which maximized the strength of each participants are found to be the main success factors. Owing to them, Pororo has resulted in continuous profit making through various outlets, the production of series up to 4 seasons, and successful sales in foreign markets. However, OSMU strategy as the key business strategy was not intended from the stage of planning, but was resulted as the business process after good contents were created. In order to have more successful cases like Pororo, and to build a good animation industry ecosystem, efforts by the industry and effective supporting system by the governments should be met.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.159-185
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• 2016

Planning a multi-day trip is a complex, yet time-consuming task. It usually starts with selecting a list of points of interest (POIs) worth visiting and then arranging them into an itinerary, taking into consideration various constraints and preferences. When choosing POIs to visit, one might ask friends to suggest them, search for information on the Web, or seek advice from travel agents; however, those options have their limitations. First, the knowledge of friends is limited to the places they have visited. Second, the tourism information on the internet may be vast, but at the same time, might cause one to invest a lot of time reading and filtering the information. Lastly, travel agents might be biased towards providers of certain travel products when suggesting itineraries. In recent years, many researchers have tried to deal with the huge amount of tourism information available on the internet. They explored the wisdom of the crowd through overwhelming images shared by people on social media sites. Furthermore, trip planning problems are usually formulated as 'Tourist Trip Design Problems', and are solved using various search algorithms with heuristics. Various recommendation systems with various techniques have been set up to cope with the overwhelming tourism information available on the internet. Prediction models of recommendation systems are typically built using a large dataset. However, sometimes such a dataset is not always available. For other models, especially those that require input from people, human computation has emerged as a powerful and inexpensive approach. This study proposes CYTRIP (Crowdsource Your TRIP), a multi-day trip itinerary planning system that draws on the collective intelligence of contributors in recommending POIs. In order to enable the crowd to collaboratively recommend POIs to users, CYTRIP provides a shared workspace. In the shared workspace, the crowd can recommend as many POIs to as many requesters as they can, and they can also vote on the POIs recommended by other people when they find them interesting. In CYTRIP, anyone can make a contribution by recommending POIs to requesters based on requesters' specified preferences. CYTRIP takes input on the recommended POIs to build a multi-day trip itinerary taking into account the user's preferences, the various time constraints, and the locations. The input then becomes a multi-day trip planning problem that is formulated in Planning Domain Definition Language 3 (PDDL3). A sequence of actions formulated in a domain file is used to achieve the goals in the planning problem, which are the recommended POIs to be visited. The multi-day trip planning problem is a highly constrained problem. Sometimes, it is not feasible to visit all the recommended POIs with the limited resources available, such as the time the user can spend. In order to cope with an unachievable goal that can result in no solution for the other goals, CYTRIP selects a set of feasible POIs prior to the planning process. The planning problem is created for the selected POIs and fed into the planner. The solution returned by the planner is then parsed into a multi-day trip itinerary and displayed to the user on a map. The proposed system is implemented as a web-based application built using PHP on a CodeIgniter Web Framework. In order to evaluate the proposed system, an online experiment was conducted. From the online experiment, results show that with the help of the contributors, CYTRIP can plan and generate a multi-day trip itinerary that is tailored to the users' preferences and bound by their constraints, such as location or time constraints. The contributors also find that CYTRIP is a useful tool for collecting POIs from the crowd and planning a multi-day trip.

• Journal of Construction Engineering and Project Management
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• v.5 no.2
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• pp.11-15
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• 2015

The Last PlannerSystem (LPS) has been implemented on construction projects to increase work flow reliability, a precondition for project performance againstproductivity and progress targets. The LPS encompasses four tiers of planning processes:master scheduling, phase scheduling, lookahead planning, and commitment / weeklywork planning. This research highlights deficiencies in the current implementation of LPS including poor lookahead planning which results in poor linkage between weeklywork plans and the master schedule. This poor linkage undetermines the ability of theweekly work planning process to select for execution tasks that are critical to projectsuccess. As a result, percent plan complete (PPC) becomes a weak indicator of project progress. The purpose of this research is to improve lookahead planning (the bridgebetween weekly work planning and master scheduling), improve PPC, and improve theselection of tasks that are critical to project success by increasing the link betweenShould, Can, Will, and Did (components of the LPS), thereby rendering PPC a betterindicator of project progress. The research employs the case study research method to describe deficiencies inthe current implementation of the LPS and suggest guidelines for a better application ofLPS in general and lookahead planning in particular. It then introduces an analyticalsimulation model to analyze the lookahead planning process. This is done by examining the impact on PPC of increasing two lookahead planning performance metrics: tasksanticipated (TA) and tasks made ready (TMR). Finally, the research investigates theimportance of the lookahead planning functions: identification and removal ofconstraints, task breakdown, and operations design.The research findings confirm the positive impact of improving lookaheadplanning (i.e., TA and TMR) on PPC. It also recognizes the need to perform lookaheadplanning differently for three types of work involving different levels of uncertainty:stable work, medium uncertainty work, and highly emergent work.The research confirms the LPS rules for practice and specifically the need to planin greater detail as time gets closer to performing the work. It highlights the role of LPSas a production system that incorporates deliberate planning (predetermined andoptimized) and situated planning (flexible and adaptive). Finally, the research presents recommendations for production planningimprovements in three areas: process related, (suggesting guidelines for practice),technical, (highlighting issues with current software programs and advocating theinclusion of collaborative planning capability), and organizational improvements(suggesting transitional steps when applying the LPS).

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.344-354
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• 2022

Ombudsmanship is the framework to provide the speedy administrative justice to poor man which is originated in Sweden in the 19^th Century and the modus operandi with modernized arrangement of public grievance redressal. Pakistan has thirteen different Ombudsman Institutions at both Federal and Provincial level with limited public accessibility. This paper presents a collaboration framework for extending the outreach of Ombudsmanship at proverbial doorstep of complainants. This framework has three main components as collaborative arrangements, Proceedings and Resolution of the complaints that increased the public trust. A pilot project titles Swift Complaint Resolution (SCR) was constructed and executed by Federal Ombudsman Secretariat to materialize the concept of speedy redressal of complaints. The SCR project first affirmed the strength of the components of the framework. The concept of SCR was first presented in the Federal Advisory committee for Administrative Justice, which comprised of highest level of the Parliamentarians, Public Officials, NGOs and Civil Society where presented guidelines to be adopted for the free and speedy redressal of grievances at proverbial doorsteps in tehsils and district headquarters ultimately to the extended to the union councils. In SCR, the complaints were decided within 25 days even though the Law permitted 60 days that is itself a record in any judicial /quasi-judicial forum.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9529-9534
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• 2014

Background: Cancer staging enables planning for the best treatments, evaluation of prognosis, and predictions for survival. The Collaborative Stage (CS) system makes it possible to significantly reduce the proportion of patients labeled at an "unknown" stage as well as discrepancies among different staging systems. This study aims to analyze the factors that influence the accuracy and validity of CS data. Materials and Methods: Data were randomly selected (233 cases) from stomach cancer cases enrolled for CS survey at the Korea Central Cancer Registry. Two questionnaires were used to assess CS values for each case and to review the cancer registration environment for each hospital. Data were analyzed in terms of the relationships between the time spent for acquisition and registration of CS information, environments relating to cancer registration in the hospitals, and document sources of CS information for each item. Results: The time for extracting and registering data was found to be shorter when the hospitals had prior experience gained from participating in a CS pilot study and when they were equipped with full-time cancer registrars. Evaluation of the CS information according to medical record sources found that the percentage of items missing for Site Specific Factor (SSF) was 30% higher than for other CS variables. Errors in CS coding were found in variables such as "CS Extension," "CS Lymph Nodes," "CS Metastasis at Diagnosis," and "SSF25 Involvement of Cardia and Distance from Esophagogastric Junction (EGJ)." Conclusions: To build CS system data that are reliable for cancer registration and clinical research, the following components are required: 1) training programs for medical records administrators; 2) supporting materials to promote active participation; and 3) format development to improve registration validity.