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

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

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

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

Reading "all about" computerization: five common genres of social analysis

This paper examines unstated, but critical, social assumptions which underlie analyses of computerization. It focuses on the popular, professional and scholarly literature which claims to describe the actual nature of computerization, the character of computer use, and the social choices and changes that result from computerization. This literature can be usefully segmented five ideal type genres: utopian, anti-utopian, social realism, social theory, and analytical reduction. Each genre is characterized and illustrated. The strengths and weaknesses of each genre are described. In the 1990s, there will be a large market for social analyses of computerization. Utopian analyses are most likely to domínate the popular and professional discourse. The empirically oriented accounts of social realism, social theory and analytical reduction, are likely to be much less common and also less commonly seen and read by computer professionals and policymakers. These genres are relatively subtle, portray a more ambiguous world, and have less rhetorical power to capture the imagination of readers. Even though they are more scientific, these empirically anchored genres don't seem to appeal to many scientists and engineers. It is ironic that computing -- often portrayed as an instrument of knowledge -- is primarily the subject of discourses whose knowledge claims are most suspect. Conversely, the discourses whose claims as valid knowledge are strongest seems to have much less appeal in the mass media and technological communities

3차원 형상정보를 활용한 설계초기단계 선박용접물량 산출

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)

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

Includes bibliographical references (p. 26-29)

A framework of justification criteria for advanced manufacturing technology implementation in small and medium enterprises

Today in order to stay in businesses and prosper, Small and Medium Enterprises (SMEs) are seeking higher electiveness and competitiveness across the entire cycle of marketing, product design, manufacture, test and sales. SMEs play an increasingly important role in all aspects of competitiveness: both products and production techniques, but also management methods, the organization of the firm and human resources training. One of the ways by which SMEs can achieve a competitive advantage in manufacturing is through the implementation of Advanced Manufacturing Technology (AMT). An increasing number of them have chosen and are choosing various levels of AMT as the solution. Realizing the importance of SMEs, an attempt has been made in this paper to review the application of AMT in SMEs. Also, a framework has been offered for the implementation of AMT in SMEs. Finally, a summary of findings and conclusions are presented

Automated control of hierarchical systems using value-driven methods

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

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