Integrated production planning and control: a multi-objective optimization model

Purpose: Production planning and control has crucial impact on the production and business activities of enterprise. Enterprise Resource Planning (ERP) is the most popular resources planning and management system, however there are some shortcomings and deficiencies in the production planning and control because its core component is still the Material Requirements Planning (MRP). For the defects of ERP system, many local improvement and optimization schemes have been proposed, and improve the feasibility and practicality of the plan in some extent, but study considering the whole planning system optimization in the multiple performance management objectives and achieving better application performance is less. The purpose of this paper is to propose a multi-objective production planning optimization model Based on the point of view of the integration of production planning and control, in order to achieve optimization and control of enterprise manufacturing management. Design/methodology/approach: On the analysis of ERP planning system’s defects and disadvantages, and related research and literature, a multi-objective production planning optimization model is proposed, in addition to net demand and capacity, multiple performance management objectives, such as on-time delivery, production balance, inventory, overtime production, are considered incorporating into the examination scope of the model, so that the manufacturing process could be management and controlled Optimally between multiple objectives. The validity and practicability of the model will be verified by the instance in the last part of the paper. Findings: The main finding is that production planning management of manufacturing enterprise considers not only the capacity and materials, but also a variety of performance management objectives in the production process, and building a multi-objective optimization model can effectively optimize the management and control of enterprise manufacturing. Practical implications: By setting cost parameters for all kinds of production objectives, mangers can maintain the balances among multiple objectives, and achieve the optimized management and control in the manufacturing process. Originality/value: This paper propose a multi-objective production planning optimization model, which can consider multiple performance management objectives of manufacturing process, and can achieve effective planning and control of production process of enterprise.Peer Reviewe

Linking design and manufacturing domains via web-based and enterprise integration technologies

The manufacturing industry faces many challenges such as reducing time-to-market and cutting costs. In order to meet these increasing demands, effective methods are need to support the early product development stages by bridging the gap of communicating early design ideas and the evaluation of manufacturing performance. This paper introduces methods of linking design and manufacturing domains using disparate technologies. The combined technologies include knowledge management supporting for product lifecycle management (PLM) systems, enterprise resource planning (ERP) systems, aggregate process planning systems, workflow management and data exchange formats. A case study has been used to demonstrate the use of these technologies, illustrated by adding manufacturing knowledge to generate alternative early process plan which are in turn used by an ERP system to obtain and optimise a rough-cut capacity plan

Comparison of models and standards for implementing IT service capacity management

Due to the recent and significant growth of the information technology (IT) services, industries need some sort of framework and / or standards for the management of their services, especially IT services. So, it becomes necessary and essential to define and adopt a set of best practices for providing and effectively managing the technology and services offered throughout its life cycle. Currently, the management of IT applications and services becomes more complex. Predicting and controlling the problems associated with system performance and capacity planning has become a difficult task. For large IT projects, the costs related to performance tuning, performance management and capacity planning, generally turn out to be the biggest and the most uncontrollable costs. In recent years, a number of frameworks aimed at covering certain issues of IT service management have been developed. One of these issues is the IT service capability management. In this paper, a comparison between the models and standards used today regarding capacity management are presented. A comparison of the strengths and weaknesses of each of the models/standards on the capacity management is presented, so that it can guide organizations to select the model/standard that best suits their needs

Autonomous Recharging and Flight Mission Planning for Battery-operated Autonomous Drones

Autonomous drones (also known as unmanned aerial vehicles) are increasingly popular for diverse applications of light-weight delivery and as substitutions of manned operations in remote locations. The computing systems for drones are becoming a new venue for research in cyber-physical systems. Autonomous drones require integrated intelligent decision systems to control and manage their flight missions in the absence of human operators. One of the most crucial aspects of drone mission control and management is related to the optimization of battery lifetime. Typical drones are powered by on-board batteries, with limited capacity. But drones are expected to carry out long missions. Thus, a fully automated management system that can optimize the operations of battery-operated autonomous drones to extend their operation time is highly desirable. This paper presents several contributions to automated management systems for battery-operated drones: (1) We conduct empirical studies to model the battery performance of drones, considering various flight scenarios. (2) We study a joint problem of flight mission planning and recharging optimization for drones with an objective to complete a tour mission for a set of sites of interest in the shortest time. This problem captures diverse applications of delivery and remote operations by drones. (3) We present algorithms for solving the problem of flight mission planning and recharging optimization. We implemented our algorithms in a drone management system, which supports real-time flight path tracking and re-computation in dynamic environments. We evaluated the results of our algorithms using data from empirical studies. (4) To allow fully autonomous recharging of drones, we also develop a robotic charging system prototype that can recharge drones autonomously by our drone management system

Manajemen Capacity Building Dalam Sistem Satu Atap Untuk Peningkatan Mutu Pendidikan (Studi Kasus Di SMP Negeri 4 Satu Atap Tengaran)

This research has four objectives to describe: 1) capacity building planning through One Roof system in improving education quality, 2) organizing capacity building through One Roof system in improving quality, 3) the implementation of capacity building through the One Roof system in improving the quality of education and 4) evaluating capacity building through the One Roof system in improving the quality of education in SMP Negeri 4 Satu Atap Tengaran. The type of this research is qualitative research with ethnography design. Data collection technique is done by interview, observation and documentation. Data analysis techniques using Milles and Huberman analysis, namely data reduction, data presentation and verification. The results of the capacity building management study in a one-stop system for improving the quality of education (Case studies in state-owned 4 one-roofed houses) concluded that (1) planning is done by developing the capacity of the organizational structure, looking at the school's financial capacity, planning infrastructure and planning resources (2) organizing is done by the process of coordination, procedure and mechanism of work and resources involved in capacity building; (3) implementation is done by organizational structure, procurement of school facilities, training or improving the quality of human resources (teacher) good teaching learning and achieving students and (4) evaluation is done by evaluating the achievement of the initial goals, the performance of educators and the education for the last school obligations to achieve educational standards

Institutionalization and Use of Evaluations in the Public Sector in Nepal

This paper reviews the institutionalization process and use of evaluation evidences in the planning processes in Nepal. It reviews evaluation reports of 29 projects or programmes of various sectors conducted engaging independent evaluators during 1995-2012. It concludes that reform to effectively institutionalize and promote use of evaluations need to be implemented as a part of overall performance management and accountability reform and  the uses of evaluations increase if the evaluation system is designed as a consistent and integrated feature of the development planning process aiming to correct the entire planning cycle. Promotion of evaluation culture at various levels, securing a higher level policy commitment and addressing capacity gaps in managing evaluations are key attributes to promote utilization of evaluations. Key words: evaluation, use, performance management, Nepa

Teaching about the Impact of Transaction Volume on System Performance and Capacity Planning

Courses in information resource management often include discussion and practice in capacity planning. This requires students to understand a variety of topics related to business transaction processing, workload characteristics, system demand, forecasting methods, and system performance measurement. This article presents a student project that combines these topics in a spreadsheet application. The spreadsheet is designed to take transaction history as input, use this history to make forecasts of future workload demand, and then predict future system performance based on these forecasts. The paper discusses forecasting methods, system performance metrics, and presents a comprehensive description of the spreadsheet assignment

Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times

Several studies have reported that capacitated supply chains may benefit from an improved dynamic performance as compared to unconstrained ones. This occurs as a consequence of the capacity limit acting as a production smoothing filter. In this research, the relationship between capacity restrictions and the operational performance of supply chains is investigated from a novel perspective, i.e. we assume that the influence of capacity constraints on lead times depends on the supply chain's responsiveness. Under these circumstances, the experiments show that there is a negative effect of capacity constraints on supply chain performance, both in terms of process efficiency (internal) and customer satisfaction (external). Nonetheless, the magnitude of this impact greatly depends on the responsiveness of the firm, market conditions and adopted policies for inventory management. More specifically, the combination of tight capacity restrictions and low responsiveness significantly contributes to decrease supply chain performance, which may be very damaging for the dynamic behavior of the system. In this sense, efficient capacity planning proves to be essential to prevent the supply chain from entering into a vicious circle

Automation of Synthesis of Structures, Systems Engineering Strategies for Production

AbstractThe article describes an automated system of support of decision-making structures in the synthesis strategies of industrial engineering systems, based on the method of structural and technological complexity of produced parts. This paper critically evaluates various tool management approaches, identifying the operational tradeoffs and analyzing the models developed to address management decisions involving tooling. The evidence is clear that a lack of attention to structured tool management has resulted in the poor performance of many manufacturing systems. Plant tooling systems affect product design options, machine loading, job batching, capacity scheduling, and real-time part routing decisions. With increasing automation in manufacturing systems, there is a growing need to integrate tool management more thoroughly into system design, planning and control