• 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.

• Journal of the Korean Society of Fashion and Beauty
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• v.4 no.3 s.9
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• pp.45-49
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• 2006

Silk Industry doesn't have enough strategic ability to plan the product for internal and external strong competition and global luxury trend in Jinju. To provide silk fashion planning information and planning method, this study investigated the fabric planning system, such as product system and problems, the method of seeking information, via questionnaires for 68 Jinju silk companies. The results were that the Korean traditional garment, Han-bok and lining of that were given more wight in Jinju Silk for domestic, and the next, neckties. These silk had produced by OEM and didn't have almost my planning ability, but nowadays buyers wanted to get some planning ideas from manufactures, not giving any planning guideline before production, more and more. For Jinju Silk Fabric Companies, planning direction of silk fabrics of vision were needed, that had to be adaptable to manufacture situation and applicable to market.

• IE interfaces
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• v.11 no.2
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• pp.1-11
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• 1998

In this paper, a case study is introduced on the development on a production planning system for the efficient control of work-in-process material flows. A special attention has been given to the prevention of the shortage of the automobile-components at the auto-assembly lines and the dynamic adaptation of the production plan to the continuously changing environment. The expertise of the production planner is analyzed and transformed into the logic of the software developed.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.56-56
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• 2002

The embodiment of working process fitting in characteristics of business each other in ERP system is indispensable factor. But, general ERP system is not so much profitable for the way of production management of footwear of domestic midge and small company that is dependant on most of the way of OEM production. Therefore, the development of ERP system fitted for present situation of the footwear manufacturing companies is necessary. For this, first, the business process for footwear production, for development of this system, have to be standardize and second, the model of Integrated system process based on standard business process have to be design for programming. In this paper, we proposed a method to build up standard business process and execute BPP in the point of the foundation for introduction and development of the resource planning systems only used by production of footwear and suited to the way of production management of the domestic companies manufacturing footwear. With this, we presented a process model of resource planning systems for footwear production. This study is focused on construction of integrated process model for production resource planning of ERP subsystems and the integrated process model consist of 13 modules.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.16 no.28
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• pp.9-19
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• 1993

We present a production planning and control system suitable for small to medium sized, order-based companies producing special gases of small-quantity. The proposed system uses cards each of which represents individual unit of order. The components and procedure of the system are described in detail. The proposed system is easy to implement because it visualizes the amount and distribution of the received orders; and requires minimum aid of computer.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.147-160
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• 2013

Today, the management environments of intelligence firm are changing the way of production planning and logistics management, and are changing the process of supply chain management system. This paper shows the development of information system software for intelligence enterprises is used in supply chain management for robot engineering industry. Specifically, supply chain management system in this paper has been developed to analyze the impact of multi plant and multi distribution environment, showing the process analysis and system development of hierarchical assembly manufacturing industry. In this paper we consider a production planning and distribution management system of intelligence firm in the supply chain. We focus on a capacitated production resource and distribution volume allocation problem, develop a mixed integer programming model, and propose an efficient heuristic procedure using a genetic algorithm to solve it efficiently. This method makes it possible for the population to reach the feasible approximate solution easily. The proposed regeneration procedures, which evaluate each infeasible chromosome, makes the solution converge to the feasible approximate solution quickly.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.3
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• pp.277-284
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• 2013

To ensure that the production system of a factory is efficient, the factory layout design should consider the location and material flow plans of facilities, workshops, and storage areas. Highly productive factories need to have an optimized layout planning process, and a customized design methodology of the production system is a necessity for feasible layout planning. This paper presents a method for designing a layout module's size and shape and provides a heuristic location-allocation algorithm for the modules. The method is implemented and validated using a rich internet application-based platform. The layout design method is based on the leisure ship production process; this method can be used for designing the layout of a new factory or remodeling an existing factory and its production system. In contrast to existing layout methods, the inputs required for the proposed method, such as target products, production processes, and human-resource plans, are simple. This layout design method provides a useful solution for the initial stage of factory design.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.1854-1864
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• 2011

Production planning is one of the most important activities in shipbuilding enterprises. Shop-floor supervisors and planners still do not have enough information to effectively analyze shop operations because of the difference between production planning and shop-floor scheduling. In this paper, process analysis was conducted between production planning and shop-floor control to clarify the difference, and the necessity of the manufacturing execution system(MES) was derived in a shipyard. Therefore, the simulation-based ship production execution system(SPEXS) was defined by analyzing characteristics of MES. The architectural functions of the system were deducted from the process of requirement analysis. The SPEXS' framework was constructed on the basis of the architectural functions. This framework will provide more reliable production schedules and allow engineers to plan and control shop operations in real-time.

• Korean Management Science Review
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• v.8 no.1
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• pp.51-70
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• 1991

This paper discusses planning and scheduling problems for efficient utilization of an FMS and presents an integrated decision support system for FMS production planning and scheduling problems. The decision support system, FMSDS(Flexible Manufacturing Systems Decision Support System), includes of data of handling module, part selection module, loading module, load adjusting module, scheduling module and simulation module etc. This paper includes the solution methodology of each subproblem. And an integrated interface scheme between the subproblems is presented. The interface scheme considers the relationships between the subproblems and generates solution using hierarchical and looping approaches. FMSDS is made up of six alternative models considering 3 loading objectives and 2 production order processing strategies. Performance comparisons among 6 alternatives and other decision support systems are shown using the non-terminating simulation techniques.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.279-290
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• 2014

Purpose: The purpose of this study is to propose adoption of QFD and Stage-gate in order to analyze the quality of korea defense system. Methods: Drawing change data of initial production phase in korea defense system were anlayzed and a practical method was proposed. Results: The results of this study are as follows; Off line Quality Control should be introduced in development phase. Specially, in case of defense system, the best method is QFD(Quality Function Deployment) and Stage-gate process. At first, QFD 1 step defines product planning from VOC(Voice Of Customer), QFD 2 step specifies part planning from product planning, QFD 3 step defines process planning from part planning, QFD 4 step defines production planning from previous process planning. Secondly, Stage-gate process is adopted. This study is proposed 5 stage-gate in case of korea defense development. Gate 1 is located after SFR(System Function Review), Gate 2 is located after PDR(Preliminary Design Review), Gate 3 is located after CDR(Critical Design Review), Gate 4 is located after TRR(Test Readiness Review) and Gate 5 is located before specification documentation submission. Conclusion: Off line QC(Quality Control) in development phase is necessary prior to on line QC(Quality Control) in p roduction phase. For the purpose of off line quality control, QFD(Quality Function Deployment) and Stage-gate process can be adopted.