[국내논문]

최근 들어 기업의 외부 환경은 글로벌 경쟁, 원가 절감과 이윤 확보에 대한 압박 및 신기술의 급격한 발전 등에 의해 매우 급속하게 변화하고 있다. 특히, 고객 요구 사항의 빈번한 변화는 제조 기업에게 심각한 도전이 되고 있다. 이러한 도전에 대응하기 위해서는, 고객 서비스 향상과 운영 효율성 제고를 위해 여러 관리 기능 중에서 생산계획 기능이 우선적으로 정립되어야 한다. 생산계획은 전체 공급망 관리 중에서 생산 프로세스에서의 단기적 의사결정을 다루며, 그 역할은 고객 주문과 제한된 자원 사이에서 균형을 찾는 것이다. 본 논문의 목적은 공급망 관리 관점에서 생산계획의 기능성과 시스템 아키텍처를 분석하고, 이를 기반으로 생산계획 솔루션들 간의 비교를 가능케 하기 위한 분류 프레임워크를 제시하는 것이다.

[국내논문]

[국내논문]

[국내논문]

[국내논문]

[국내논문]

This paper explores a quantitative decision-making system for planning production, inventories and work-force in a multi-item production system. The Multi-item Parametric Decision Rule (MPDR) model, which assumes the existence of two types of linear feed-back rules, one for work-force level and one for production rates, is basically an extension of the existing method of Parametric Production Planning (PPP) proposed by C.H. Jones. The MPDR model, however, explicitly considers the effect of manufacturing progress and other factors such as employee turn-over, difference in work-days between month etc., and it also provides decision rules for production rates of individual items. First, the cost relations of the production system are estimated in terms of mathematical functions, and then decision rules for work-force level and production rates of individual items are establised based upon the estimated objective cost function. Finally, a direct search technique is used to find a set of parameters which minimizes the total cost of the objective function over a specified planning horizon, given estimates of future demands and initial values of inventories and work-force level. As a case problem, a hypothetical decision rule is developed for a particular firm (truck assembly factory).

[해외논문]

The excessive volatility in supply chain planning increases its instability so to exacerbate the flow of goods in the chain. This paper explores ways of applying production planning to reduce the volatility of supply chain in terms of logistics. A 2-stage supply chain model is adopted in order to investigate the impact of production planning methodology on the supply chain volatility. Two production planning methods of S&OP and TOC approaches are chosen for simulation experiment. Comparative analysis of these two methods show that the TOC scheme does not induce a bigger supply chain volatility than the S&OP does, where the volatility index is measured by the ratio of variation sizes of production plan to sales plan. In conclusion, production planning function in supply chain is one of the most important factor along with the accuracy of sales plan in reducing the volatility of supply chain planning.

[국내논문]

[국내논문]

[국내논문]

[국내논문]

디지털 선박 생산기술은 조선소에서 필연적으로 발생하는 재계획 및 재작업에 따른 비용과 시간을 절감할 수 있는 기술이다 이 기술을 효율적으로 적용하기 위해서는 적용 가능한 . 분야에 대한 전략수립이 반드시 이루어져야 한다. 본 논문에서는 조선소 생산계획 업무 프로세스를 분석하여 디지털 선박생산 기술을 적용하기 위한 전략을 수립하는 것을 목표로 한다. BPR방법론을 기반으로 현행 생산계획 업무프로세스를 분석하고, 워크플로우를 모델링하여 병목프로세스를 도출한다. 도출된 병목프로세스를 심도있게 분석하여 핵심개선기회 다이어그램을 작성하고, 프로세스시뮬레이션을 수행하여 적용시나리오 생성뿐만 아니라 기대효과도 산출한다. 디지털 선박생산기술의 적용전략은 조선소에서 양질의 제품에 필요한 건조 비용 및 시간을 줄일 수 있는 밑그림을 제공할 것으로 사료된다.

[국내논문]

[국내논문]

[국내논문]

[국내논문]

An approach to Just-In-Time for small job-shop-type manufacturers is presented. This is aimed at those who understand the pull production system, however, cannot afford either swift changeover in workcenters or frequent delivery to customers. First, as a production planning technique, a lot-sizing model entitled Multilevel Least Total Cost Model(MLTCM) is developed; The production order quantities of each components be those requiremensts of the end item production lot. The contribution of MLTCM is shown via simulation. Then, a framework of the Kanban operations is designed; A Production Control Kanban is introduced as a communication tool with Production Kanban in a job-shop.

[해외논문]

This research is concerned with production scheduling for FMS (Flexible Manufacturing System) which consists of machine centers served by cycle conveyor. The objective of the research is to develop and evaluate scheduling procedures to minimize the mean flow time. An optimal algorithm called SCTF (Shortest Circle Time First) is proposed when the conveyor runs at minimum possible speed (CS=1) and a heuristic algorithm called SCTJMF (Shortest Cycle Time and Job Matching Algorithm) is suggested when the conveyor runs at double speed (CS=2). The evaluation of the heuristic algorithm was implemented by comparison with the optimal algorithm for 112 experimentations for CS=1 and random schedule. The results showed that the proposed heuristic algorithm provides better solution that can be regarded noticeable when compared with SCTF algorithm and random scheduling.

[국내논문]

[국내논문]

& & 오늘날 기업들은 경쟁력 강화를 위하여 ERP 및 SCM 등을 도입하고 활용하기 위하여 많은 노력을 기울이고 있다. ERP는 프로세스 중심의 통합성을 이루는 데는 매우 효과적이지만, 최적 생산계획을 수립하는 것에는 한계를 보인다. 이러한 한계를 극복하기 위하여 SCM 최적화 소프트웨어를 ERP 시스템에 접목하여 활용하는 사례가 늘고 있다. 그러나 SCM 최적화 소프트웨어가 제대로 활용되기 위해서는 생산계획프로세스가 우선 최적화되어 시스템이 효과를 발휘할 수 있는 환경이 마련되어야 한다.& & 이 연구는 H사의 생산계획 프로세스를 최적화시킨 프로젝트 사례를 통하여 기업들이 기존의 ERP 와 SCM시스템을 운영하면서 시스템 구현뿐만 아니라 프로세스 정립을 통해서 시스템의 성과를 향상시킬 수 있다는 점을 파악하고 자동화된 최적 계획 수립을 활용하기 위하여 어떠한 개선이 필요한 지를 살펴보았다. 즉, 시스템이 제대로 운영되지 않는 근본 원인들을 파악하고 이를 개선한 과제에 대해 연구하였다.

[해외논문]

[국내논문]

This research is concerned with production scheduling for FMS (Flexible Manufacturing System) which consists of machine centers served by cycle conveyor. The objective of the research is to develop and evaluate scheduling procedures to minimize the mean flow time. An optimal algorithm called SCTF (Shortest Circle Time First) is proposed when the conveyor runs at minimum possible speed (CS=1) and a heuristic algorithm called SCTJMF (Shortest Cycle Time and Job Matching Algorithm) is suggested when the conveyor runs at double speed (CS=2). The evaluation of the heuristic algorithm was implemented by comparison with the optimal algorithm for 112 experimentations for CS=1 and random schedule. The results showed that the proposed heuristic algorithm provides better solution that can be regarded noticeable when compared with SCTF algorithm and random scheduling.

[국내논문]

[국내논문]

Group scheduling problem in a multi-stage manufacturing system is reviewed and two heuristic procedures for minimizing the makespan are developed by employing the methods of flow shop sequencing heuristics with a slight modification. The comparisons among the five heuristics, three previously reported heuristics and two heuristics suggested by this study, are made on different problem sizes. The computational results indicate that NEH-GS method gives better group schedules than the other heuristics tested, but its computation time increases rapidly as the problem size increases. On the other hand, CDS-GS method provides relatively good group schedules with less computation time compared with NEH-GS method.

[국내논문]

Dynamic production planning problems are to determine the optimal production times and production quantities of product for discrete finite periods. In previous many researches, the solutions for these problems have been developed through the algorithms using dynamic programming. The purpose of this research is to suggest the new algorithm using linear programming. This research is to determine optimal production quantities of product in each period to satisfy dynamic for discrete finite periods, minimizing the total of production cost and inventory holding cost. Cost functions are concave, and no backlogging for product is allowed. The new algorithm for capacity constrained problem is developed.

[국내논문]

[해외논문]

This paper explores a quantitative decision-making system for planning production, inventories and work-force in a multi-item production system. The Multi-item Parametric Decision Rule (MPDR) model, which assumes the existence of two types of linear feed-back rules, one for work-force level and one for production rates, is basically an extension of the existing method of Parametric Production Planning (PPP) proposed by C.H. Jones. The MPDR model, however, explicitly considers the effect of manufacturing progress and other factors such as employee turn-over, difference in work-days between month etc., and it also provides decision rules for production rates of individual items. First, the cost relations of the production system are estimated in terms of mathematical functions, and then decision rules for work-force level and production rates of individual items are establised based upon the estimated objective cost function. Finally, a direct search technique is used to find a set of parameters which minimizes the total cost of the objective function over a specified planning horizon, given estimates of future demands and initial values of inventories and work-force level. As a case problem, a hypothetical decision rule is developed for a particular firm (truck assembly factory).

[해외논문]

Group scheduling problem in a multi-stage manufacturing system is reviewed and two heuristic procedures for minimizing the makespan are developed by employing the methods of flow shop sequencing heuristics with a slight modification. The comparisons among the five heuristics, three previously reported heuristics and two heuristics suggested by this study, are made on different problem sizes. The computational results indicate that NEH-GS method gives better group schedules than the other heuristics tested, but its computation time increases rapidly as the problem size increases. On the other hand, CDS-GS method provides relatively good group schedules with less computation time compared with NEH-GS method.

[국내논문]

The problem of planning national coal production is formulated as an optimal control problem. The model can be used to propose a proper government subsidy policy which will enhance the utilization of a nationally-owned resurce(coal) and maintain the optimal level of coal production.

[국내 회의자료]

In this paper, scheduling problem is dealt for the minimization of due date penalty for the customer order. Multiproduct batch processes have been dealt with for their suitability for high value added low volume products. Their scheduling problems take minimization of process operation for objective function, which is not enough to meet the customer satisfaction and the process efficiency simultaneously because of increasing requirement of fast adaptation for rapid changing market condition. So new target function has been suggested by other researches to meet two goals. Penalty function minimization is one of them. To present more precisely production scheduling, we develop new scheduling model with penalty function of earliness and tardiness We can find many real cases that penalty parameters are divergent by the difference between the completion time of operation and due date. That is to say, the penalty parameter values for the product change by the customer demand condition. If the order charges different value for due date, we can solve it with the due date period. The period means the time scope where penalty parameter value is 0. If we make use of the due date period, the optimal sequence of our model is not always same with that of fixed due date point. And if every product have due date period, due date of them are overlapped which needs optimization for the maximum profit and minimum penalty. Due date period extension can be enlarged to makespan minimization if every product has the same abundant due date period and same penalty parameter. We solve this new scheduling model by simulated annealing method. We also develop the program, which can calculate the optimal sequence and display the Gantt chart showing the unit progress and time allocation only with processing data.

[국내논문]

Many enterprises are performing the production planning computerization for survival in unlimited competing period. But it is very difficult to directly apply many production planning softwares to the domain-specific areas of many small enterprises because one enterprise is different from the others with respect to product type, production process, and order fulfillment method. Practically most small enterprises depend on experienced production managers in production planning, so then many problems such as overtime work and cost have been appeared. The purpose of this study is to develop production planning module for order-made production system in order to reduce overtime works and surplus costs. We developed production planning module with RDBMS, which is fit for small manufacturing company. Developing this software, we use Visual Basic 5.0 to provide GUI environment for the production planning module and Microsoft Access 97 is used to construct Database. This production planning module is applied to enhancement of productivity in M manufacturing company located in Asan.

[국내논문]