28,041 research outputs found

    Case studies in implementing dynamic production planning and scheduling system in make-to-order high-mix-low-volume small and medium-scaled industries for production efficiency

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    To manage a high-mix manufacturing environment efficiently is a big challenge for the small and medium-scaled industries (SMIs) because of the nature of its dynamic and ever changing production environment. This has added extra challenges for the SMIs to adopt the right and suitable computerized system for improvement. This paper reviews the implementation of computerized planning and scheduling system to the make-to-order (MTO) high-mix-low-volume (HMLV) SMIs to overcome their daily production challenges in managing the products, processes and resources. Investigation has been conducted in two local manufacturing companies to study the effectiveness of implementing the planning and scheduling system that has brought improvement to the MTO HMLV production environment. The research was conducted in mixed mode of qualitative and quantitative methods after the software being implemented for a year. The findings show the implementation of the system that can bring improvements overall. However, there are some other challenges not related to the software have been discovered such as human factors. The issues are listed in discussion section. The outcome of this research will accrue to manufacturers through an improved understanding of the operation and performance of implementing the system. The authors recommend further research works to be carried out to determine the other key success factors for MTO HMLV SMIs to implement computerize system to improve overall production efficiency

    SISTEM INFORMASI APLIKASI MANUFAKTUR PADA PT INTERBIS SEJAHTERA PALEMBANG

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    In the development of information technology today, many companies have use da computerized system based to compete with other companies. In use, a computerized based system has helped many companies in various ways. The objective of this report is to analyze and design the systems that deal with manufacturing production in PT Interbis Sejahtera Palembang. Writing methodology that I use is divided into two, which is design using a methodology UML (Unified Modeling Language), whilefor the development, I use the iterations(Iterative) methodology. Inthismethodology, there are several stages, namely initiation systems, systems analysis, systems design and manufacturing systems. The system is expected to help and solve existing problems in PT Interbis Sejahtera Palembang and reduce errors that occur in the process of sale of goods, purchasing raw materials, supplies and assist in scheduling the production of goods and also help to ease and speed the report making

    Implementation of CMMS software for a maintenance plan in a manufacturing industry

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    This paper proposes an effective maintenance method by considering the implementation of the Computerized Maintenance Management System (CMMS) software to plan a maintenance activity in a manufacturing industry. Globally, maintenance is a very important activity in the manufacturing sector to prolong the life span of equipment and machinery; it is also applicable to all household items. It is obvious and well known that apart from giving long life to equipment, it reduces the substantial financial losses for repairs and save the production downtime. In some cases, appropriate maintenance of plant equipment and machinery reduces the tendencies of injuries to personnel in the job floor. But before the maintenance process can be carried out, proper and effective work order planning and scheduling must be in place in other to achieve the set goals and objectives of a maintenance shop. Brief reviews of common planning tools which include the Computerized Maintenance Management System (CMMS) are presented. An interesting outline of analyses on planning and scheduling for effective job planning in a typical manufacturing industry using the CMMS is also presented and discussed. Finally, the steps to adhere to in making job planning effective in a manufacturing industry are also highlighted

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    These days, shipbuilding companies are making an effort to adopt the IT technology in order to improve the production efficiency. One such effort is to utilize a planning and scheduling system to predict the production cost in advance. In this system, assessing the welding material quantity is an important factor. Unfortunately, obtaining the welding material quantity in the early design stage is extremely difficult because the detailed production information, which is essential in deriving the cost associated with welding, is normally available at a later stage. This paper aims at developing a computerized program that produces an index to estimate the welding material quantity in the early design stage. By using only three-dimensional geometric information, the program analyzes the production process and estimates the welding material quantity at any design or production stage when no production information is available. The results can be used for the planning and scheduling system.1. Introduction 2. Integrated Manufacturing Execution System 2.1 Overview 2.2 Functions 2.3 Reference Information System 2.3.1 WBS 2.3.1.1 Introduction 2.3.1.2 Composition 2.3.1.3 Purposes 2.3.1.4 Application and Utilization 3. Development Tools 3.1 Introduction 3.2 OPEN CASCADE 3.2.1 Structure 3.2.1.1 Foundation Classes 3.2.1.2 Modeling Data 3.2.1.3 Modeling Algorithms 3.2.1.4 Visualization 3.2.1.5 Data Exchange 4. Overall Program Structure 4.1 Introduction 4.2 Class Structure 4.2 Output Screen 5. Main Functions of welding material quantity Estimation 5.1 Shape Information Input 5.2 Extraction of Welding Seam 5.3 Determination of Joint Type 5.4 Establishment of Assembly Stage 5.5 Determination of Welding Posture 5.6 Calculation of Leg Length 5.7 Determination of Welding Methods 5.8 Determination of Improved Shape 5.9 Calculation of Pass Number 5.10 Estimation of Material Quantity 6. Example 7. ConclusionsMaste

    Model and Integrate Medical Resource Available Times and Relationships in Verifiably Correct Executable Medical Best Practice Guideline Models (Extended Version)

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    Improving patient care safety is an ultimate objective for medical cyber-physical systems. A recent study shows that the patients' death rate is significantly reduced by computerizing medical best practice guidelines. Recent data also show that some morbidity and mortality in emergency care are directly caused by delayed or interrupted treatment due to lack of medical resources. However, medical guidelines usually do not provide guidance on medical resource demands and how to manage potential unexpected delays in resource availability. If medical resources are temporarily unavailable, safety properties in existing executable medical guideline models may fail which may cause increased risk to patients under care. The paper presents a separately model and jointly verify (SMJV) architecture to separately model medical resource available times and relationships and jointly verify safety properties of existing medical best practice guideline models with resource models being integrated in. The SMJV architecture allows medical staff to effectively manage medical resource demands and unexpected resource availability delays during emergency care. The separated modeling approach also allows different domain professionals to make independent model modifications, facilitates the management of frequent resource availability changes, and enables resource statechart reuse in multiple medical guideline models. A simplified stroke scenario is used as a case study to investigate the effectiveness and validity of the SMJV architecture. The case study indicates that the SMJV architecture is able to identify unsafe properties caused by unexpected resource delays.Comment: full version, 12 page

    A distributed knowledge-based approach to flexible automation : the contract-net framework

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    Includes bibliographical references (p. 26-29)

    Automated control of hierarchical systems using value-driven methods

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    An introduction is given to the Value-driven methodology, which has been successfully applied to solve a variety of difficult decision, control, and optimization problems. Many real-world decision processes (e.g., those encountered in scheduling, allocation, and command and control) involve a hierarchy of complex planning considerations. For such problems it is virtually impossible to define a fixed set of rules that will operate satisfactorily over the full range of probable contingencies. Decision Science Applications' value-driven methodology offers a systematic way of automating the intuitive, common-sense approach used by human planners. The inherent responsiveness of value-driven systems to user-controlled priorities makes them particularly suitable for semi-automated applications in which the user must remain in command of the systems operation. Three examples of the practical application of the approach in the automation of hierarchical decision processes are discussed: the TAC Brawler air-to-air combat simulation is a four-level computerized hierarchy; the autonomous underwater vehicle mission planning system is a three-level control system; and the Space Station Freedom electrical power control and scheduling system is designed as a two-level hierarchy. The methodology is compared with rule-based systems and with other more widely-known optimization techniques

    Fuzzy uncertainty modelling for project planning; application to helicopter maintenance

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    Maintenance is an activity of growing interest specially for critical systems. Particularly, aircraft maintenance costs are becoming an important issue in the aeronautical industry. Managing an aircraft maintenance center is a complex activity. One of the difficulties comes from the numerous uncertainties that affect the activity and disturb the plans at short and medium term. Based on a helicopter maintenance planning and scheduling problem, we study in this paper the integration of uncertainties into tactical and operational multiresource, multi-project planning (respectively Rough Cut Capacity Planning and Resource Constraint Project Scheduling Problem). Our main contributions are in modelling the periodic workload on tactical level considering uncertainties in macro-tasks work contents, and modelling the continuous workload on operational level considering uncertainties in tasks durations. We model uncertainties by a fuzzy/possibilistic approach instead of a stochastic approach since very limited data are available. We refer to the problems as the Fuzzy RoughCut Capacity Problem (FRCCP) and the Fuzzy Resource Constraint Project Scheduling Problem (RCPSP).We apply our models to helicopter maintenance activity within the frame of the Helimaintenance project, an industrial project approved by the French Aerospace Valley cluster which aims at building a center for civil helicopter maintenance
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