Design Of Planning Systems Research Articles

Capability matchmaking software for rapid production system design and reconfiguration planning

Traditionally, the production system design and reconfiguration planning are manual processes, which rely heavily on the designers’ expertise and tacit knowledge to find feasible system configuration solutions. Rapid responsiveness of future production systems calls for new computer-aided intelligent design and planning solutions, that would reduce the time and effort put into system design, both in brownfield and greenfield scenarios. This paper describes the implementation of a capability matchmaking software, which automatizes the matchmaking between product requirements and resource capabilities. The interaction of the matchmaking system with external design and planning tools is explained and illustrated with a case example. The matchmaking approach supports production system design and reconfiguration planning by providing automatic means for checking if the existing system already fulfills the new product requirements, and for finding alternative resources and resource combinations to specific product requirements from large search spaces, e.g. from global resource catalogues.

Performance analysis of a flexible flow shop with random and state-dependent batch transport

In many manufacturing contexts, performance modelling of an integrated production and material handling system is a complex problem. Existing research lacks an in-depth consideration of the integration of these two areas. A flexible flow shop with random and state-dependent batch transport, where the batch size depends on the number of jobs in the buffers and the capacity of automated guided vehicles, is considered and modelled as an open queueing network with blocking. A decomposition method of state space is proposed for computing system performance measures. The accuracy and efficiency of the proposed method are demonstrated by comparing the results with simulations from numerical experiments. Meanwhile, the properties of the system, especially for material handling processes, are investigated and analyzed according to the experiments. The results of this paper can be used as a basis for system design, analysis, and resource planning.

RANCANG BANGUN SISTEM INFORMASI EMOSI SISWA MENGGUNAKAN EMOTICON BERBASIS WEB STUDY KASUS PADA SDIT BUNAYYA PERMATA TANGERANG

SDIT BUNAYYA is a private elementary school located in the Pasarkemis region of Tangerang Regency. Character-based SDIT Bunayya that pays attention to students' emotions to find out the development of students. In SDIT Bunayya in emotional data students still use the manual in writing to take time when reporting and when they want to observe student emotions. Thus the author tries to design an emotional data processing system for students using website-based emoticons that can help the process of data collection of teacher and student attendance and recording emotions for students during learning in school. In developing this system the author uses the PHP programming language with the concept of MVC (Model, View, Controller) to make it easier in its development with the CodeIgniter framework, System Analysis Methods using Object Oriented Analysis and Design (OOAD) and use UML (Unified Modeling Language) as a tool and the design method uses the waterfall model. The construction of this data processing system begins with the process of analyzing system requirements and is followed by a system design planning process based on the results of the needs analysis. The last stage of this drafting process is the implementation of the system into a new system. In this final assignment, it can be concluded that the system built to help the emotional data collection process can display the results of handling emotional information of students for the Principals of SDIT Bunayya, Homeroom Class and Teacher Budi Pekerti at SDIT Bunayya.

Implementation of capability matchmaking software facilitating faster production system design and reconfiguration planning

Smart manufacturing calls for rapidly responding production systems which help the manufacturing companies to operate efficiently in a highly dynamic environment. Currently, the system design and reconfiguration planning are manual processes which rely heavily on the designers’ expertise and tacit knowledge to find feasible system configuration solutions by comparing the characteristics of the product to the technical properties of the available resources. Rapid responsiveness requires new computer-aided intelligent design and planning solutions that would reduce the time and effort put into system design, both in brownfield and greenfield scenarios. This article describes the implementation of a capability matchmaking approach and software which automatizes the matchmaking between product requirements and resource capabilities. The interaction of the matchmaking system with external design and planning tools, through its web service interface, is explained and illustrated with a case example. The proposed matchmaking approach supports production system design and reconfiguration planning by providing automatic means for checking if the existing system already fulfils the new product requirements, and/or for finding alternative resources and resource combinations for specific product requirements from large search spaces, e.g. from global resource catalogues.

Modeling and measurements for wireless communication networks in underground mine environments

One of the crucial problems being faced by wireless system designers is experimental understandings of the electromagnetic (EM) wave propagation in high stress environments, such as underground mines and tunnels, so that reliable performance can be achieved. This is driven by the fact of limited availability of real-time data of operational underground mines with different measurement considerations. This paper reports extensive experimental studies and proposes a modified multimode based channel model for wireless communication networks in underground mine environments. The experimental campaigns were carried out in an underground coal mine considering significant use cases viz. line of sight (LOS), no line of sight (NLOS), across the curves and bends, in noisy environments, straight tunnels, and near the face (extraction area). We then validated the proposed channel model with the experimental measurements. The validation results showed reliably a good agreement with a model accuracy of 94.60%, 91%, 90.98% for the straight tunnel, along the belt conveyor and near face respectively. The proposed model outperforms the state-of-the-art channel model for mine workings with model accuracy differences of 60.1%, 60.45% and 58.56% for straight tunnel, along the belt conveyor and near face respectively. A model accuracy of 78.31% is achieved across the curvature measurement scenario. Hence, the proposed channel model can be accepted for wireless communication system design and deployment planning in underground mines to provide a reliable two-way wireless communication and coverage. Furthermore, detailed link analysis of wireless sensor networks in mine workings is also discussed considering packet reception rate with respect to distance and received signal strength.

BUDGETING INFORMATION SYSTEM DESIGN IN iFRAMES: CASE STUDY ON HEALTH SECTOR BLUD

<p><em>At the moment, budgeting processes carried out in Regional Public Service Agency in health sector in DKI Jakarta had been done manually so changes between corrective Work Plan and Budget (RKA)s and updated RKA cannot be seen directly. It causes ineffectiveness and bad transparency in the budget preparation process as unconfirmed RKAs are not well documented. The purpose of this study is to create a design of integrated accounting information system between budgeting information system as a part of Integrated Financial Reporting and Management Information System (iFRAMES). Transparency Theory is used to analyze the needs of budgeting transparency in government organization. The method used in budgeting system design is Framework for the Application of Systems Thinking (FAST) as the method in planning system design and the study approach used is a case study with triangulation method with qualitative data in the form of data from interview and quantitative data in the form of document review. The unit of analysis examined in this study is multiple-embedded units, between DKI Jakarta Health Office and BLUD. This study resulted in an integrated planning system design for BLUD to support planning activities so planning activities could be carried out with high transparency and efficiency.</em></p><strong><em>Keywords:</em></strong><em> Accounting Information System, BLUD, Budgeting System, FAST, Puskesmas, RKA, Theory of Transparency.</em>

A risk-averse stochastic program for integrated system design and preventive maintenance planning

The failure of high-consequence systems, such as highspeed railways, can result in a series of severe damages. Due to the volatility of real circumstances, stochastic optimization methods are needed to aid decisions on reliability design and maintenance for the high-consequence systems. Traditionally, risk-neutral approaches are used by considering the expectation of random variables as a preference criterion. The risk-neutral approaches may achieve the solutions that are good in the long run but do not control poor results under certain realizations of random variables. From a perspective of risk analysis, such solutions are not acceptable for high-consequence systems. To address this issue, this paper uses the conditional value at risk (CVaR) to more properly account for some of the worst realizations of random future usage scenarios, and then proposes a risk-averse two-stage stochastic programming model to simultaneously determine the numbers of components in each subsystem and preventive maintenance time intervals for the high-consequence systems that are exposed to uncertain future usage stresses. The proposed stochastic programming model can be converted to a nonconvex mixed-integer nonlinear programming (MINLP) model. To solve the model, we derive the analytical properties of the recourse function and the closed form of CVaR and then design a decomposition algorithm. Numerical examples demonstrate the proposed risk-averse stochastic approach and the effectiveness of incorporating the CVaR in modeling. The results show the research problem significantly benefits from the proposed approach. Furthermore, the robustness of the optimal system design and maintenance plan under different profiles of future usage scenarios is addressed.

Simultaneous system design and path planning: A sampling-based algorithm

This paper addresses the simultaneous design and path-planning problem, in which features associated to the bodies of a mobile system must be selected to find the best design that optimizes its motion between two given configurations. Solving individual path-planning problems for all possible designs and selecting the best result would be straightforward only for very simple cases. We propose a more efficient approach that combines discrete (design) and continuous (path) optimization in a single stage. It builds on an extension of a sampling-based algorithm, which simultaneously explores the configuration-space costmap of all possible designs, aiming to find the best path-design pair. The algorithm filters out unsuitable designs during the path search, which breaks down the combinatorial explosion. Illustrative results are presented for relatively simple (academic) robotic examples, showing that even in these simple cases, the computational cost can be reduced by two orders of magnitude with respect to the naïve approach. A preliminary application to challenging problems in computational biology related to protein design is also discussed.

Optimum Assembly Sequence Planning System Using Discrete Artificial Bee Colony Algorithm

Assembly refers both to the process of combining parts to create a structure and to the product resulting therefrom. The complexity of this process increases with the number of pieces in the assembly. This paper presents the assembly planning system design (APSD) program, a computer program developed based on a matrix-based approach and the discrete artificial bee colony (DABC) algorithm, which determines the optimum assembly sequence among numerous feasible assembly sequences (FAS). Specifically, the assembly sequences of three-dimensional (3D) parts prepared in the computer-aided design (CAD) software AutoCAD are first coded using the matrix-based methodology and the resulting FAS are assessed and the optimum assembly sequence is selected according to the assembly time optimisation criterion using DABC. The results of comparison of the performance of the proposed method with other methods proposed in the literature verify its superiority in finding the sequence with the lowest overall time. Further, examination of the results of application of APSD to assemblies consisting of parts in different numbers and shapes shows that it can select the optimum sequence from among hundreds of FAS.

Combined Redundancy Allocation and Maintenance Planning Using a Two-Stage Stochastic Programming Model for Multiple Component Systems

A new modeling approach is presented to optimally and simultaneously design the configuration of a multicomponent system and determine a maintenance plan with uncertain future stress exposure. Traditionally, analytical models for system design and maintenance planning are applied sequentially, but this new model provides an integrated approach to make decisions considering the lifecycle cost of the system. Specifically considering the influence of uncertain future usage stresses on component and system reliability, the integrated redundancy allocation and maintenance planning problem is formulated as a two-stage stochastic programming model with recourse. In this model, the system is exposed to uncertain usage scenarios with their associated probabilities of occurrence or likelihood. The decision variables for the first stage are the selection of component types and the number of components to be used in the system, and these variables are modeled before the uncertainty is revealed. The second-stage variables, involving a recourse function, are the preventive maintenance plan, which defines optimal maintenance times for planned replacement of components under distinct usage scenarios. Numerical examples and sensitivity analysis on series–parallel systems demonstrate applications of the proposed model and provide further insights. The comparisons of the proposed integrated approach to traditional sequential method show advantages of the proposed model in cost saving.

Design of a Multi-station Low-voltage Current Transformer Automatic Verification System

Manual mode is mostly adopted for traditional verification work aiming at low-voltage current transformer performance. Test is completed on many stations. Instruments and equipment should be manually moved, combined, wired and disconnected for many times, and certificate should be frequently issued, etc., thereby consuming a lot of manpower and material resource with high labor intensity and low work efficiency. In the paper, a multi-station low-voltage current transformer automatic verification system design plan is proposed aiming at the disadvantages of manual verification mode. The low-voltage current transformer is tested comprehensively through transformer comprehensive test control cabinet and transformer comprehensive testing bench. It is characterized by convenient use and high operation efficiency.

Identifying potential opportunities of building information modeling for construction and demolition waste management and minimization

Abstract The amount of waste generated in construction and demolition (C&D) processes is enormous. Therefore, many studies on efficient C&D waste minimization and management have been conducted. However, 21 process-related and 8 technology-related limitations in C&D waste management and minimization have not yet been resolved. Building information modeling (BIM) helps project participants improve the processes and technologies in the planning, design, construction, and demolition phases, thereby managing and minimizing C&D waste efficiently. Therefore, this paper identifies the potential opportunities of BIM for efficient C&D waste management and minimization, such as design review, 3D coordination, quantity take-off, phase planning, site utilization planning, construction system design, digital fabrication, and 3D control and planning. The BIM-based approaches can support C&D waste management and minimization processes and technologies by addressing existing limitations through in-depth literature review. The roles of project participants and information required for each BIM-based approach in C&D waste management and minimization are discussed with illustrative process maps.

Evidence-Based Vehicle Planning for Humanitarian Field Operations

Problem description: There is substantial discontent about vehicle planning in international humanitarian organizations. In response, academics have proposed an increasing number of advanced decision support tools for planning and routing. Yet, success stories about their implementation are lacking. Relevance: Transportation is, after salaries, the second largest cost category for international humanitarian organizations. Increasing needs for humanitarian interventions combined with steady declines in funding indicate that improved planning and routing could have a substantial positive impact on beneficiaries. Methodology: We assess applicability and cost-effectiveness of advanced planning approaches by means of interviews with humanitarian logistics experts, a literature review, and extensive numerical analyses. The latter are based on a queuing model that relates the effectiveness of a planning system to its characteristics and the operational context. Results: Effectiveness increase realized by advanced approaches tends to be marginal in many humanitarian contexts - due to triviality of planning problems and external constraints - whereas costs increases can be substantial. Moreover, advanced approaches tend to substantially underperform when information is inaccurate or missing, as is the case in many humanitarian contexts. Even if advanced systems are cost-effective, their implementation tends to have low priority due to capacity shortages and competing innovations. Managerial implications: Planning system design should be based on thorough contextual understanding and critical cost-effectiveness analyses. Our paper presents general insights that can assist organizations in doing so. Moreover, our results urge research to evidence the contexts in which proposed tools can be cost-effective.

Design of an enterprise resource planning system (ERP) for a microenterprise

Introduction: The textile and clothing sector in the world has been in growth during the last years, however, it is conformed by MiPyMES which present old managerial approaches which lead to inefficient administration of the organization´s business resources; for this appear information systems (CRM, MRP, MRPII, ERP…) as an alternative solution to administrative problems of the organization.Objective: The present article aims an enterprise resource planning system design in a micro-enterprise, with their secondary objectives in the realization of a feasibility study, preparation, modeling, parameterization, installation and production of the computer system.Methodology: Using a methodology that consists of a series of phases, in which each one has variables of inputs (information), transformation of these variables and variables of outlets, which both delivered the completed ERP system as a result.Results: This was achieved the complete design of the system but for economic reasons by Parties of the Organization, was the implementation of modules of greatest relevance for the competitive improvement of the company, and was raised that this was progressively acquiring the missing modules.Conclusions: It highlights the viability of design and implementation of complex information systems as the ERP with some considerations in micro, small and medium enterprises, Carrying out regular monitoring of positive changes in the organization.

Auto Mission Planning System Design for Imaging Satellites and Its Applications in Environmental Field

AbstractSatellite hardware has reached a level of development that enables imaging satellites to realize applications in the area of meteorology and environmental monitoring. As the requirements in terms of feasibility and the actual profit achieved by satellite applications increase, we need to comprehensively consider the actual status, constraints, unpredictable information, and complicated requirements. The management of this complex information and the allocation of satellite resources to realize image acquisition have become essential for enhancing the efficiency of satellite instrumentation. In view of this, we designed a satellite auto mission planning system, which includes two sub-systems: the imaging satellite itself and the ground base, and these systems would then collaborate to process complicated missions: the satellite mainly focuses on mission planning and functions according to actual parameters, whereas the ground base provides auxiliary information, management, and control. Based on the requirements analysis, we have devised the application scenarios, main module, and key techniques. Comparison of the simulation results of the system, confirmed the feasibility and optimization efficiency of the system framework, which also stimulates new thinking for the method of monitoring environment and design of mission planning systems.

System performance analysis of flexible flow shop with match processing constraint

Blocking makes the analytical modelling of open queuing networks with finite buffers intractable because the product-form solutions are unavailable. In this paper, about mould manufacturing, a four-stage flexible flow shop with match processing constraint is first modelled as an open queuing network with finite buffers. According to the characteristics of the matching node, the inter-arrival time distributions of parts arriving at the nodes are assumed to be exponential or general. Next, based on approximation of queuing theory, the Decomposition of State Space Method and the Generalized Expansion Method are developed for system performance evaluation. Then, experiments to assess the accuracy of the proposed methods are reported by comparing the analytical results with simulations. Finally, a case of a real-life production system of mould manufacturing is studied to show the application of the proposed methods. The results of experiments reveal that the proposed methods are feasible and effective for system performance evaluation and they can even solve large-size practical problems in a reasonable time. The results in this paper can provide a basis for system design or resource planning, to solve buffer allocation problems and capacity configuration problems.

System design and project planning: Model and rules to manage their interactions

This article proposes a model and rules dealing with the management of the interaction between system design processes and project planning ones. An industrial benchmark analysis has reinforced our belief that the interaction between the two processes has to be supported by models, processes and relevant tools. Firstly, after presenting the results of the analysis, the different entities are defined and the one-to-one relationship or bijection between the structure of the system and the structure of the project is made. Then, a model, taking into account design activities and planning activities as well as management of interactions, is proposed in compliance with existing project and design standards. A process of interaction is presented to carry out design and project management. Two interaction modes have been proposed. On the one hand, the structural interaction establishes links between entities of the two domains. On the other hand, the behavioral interaction (subject of this paper) is based on the definition of states for each entity following feasibility and verification criteria, and can thus manage the changes between states. Some rules are defined (precedence and synchronous rules) to forbid certain changes when they are inconsistent and to synchronize them.

When do I want to know and why? Different demands on sugarcane yield predictions

The production planning processes of sugarcane mills require quantitative information to support decisions on sugarcane yield and the effects of decisions made during planning. An exploratory study was conducted at a sugarcane mill with the goals of identifying the main decisions influenced by the prospects of future yield and of evaluating the manner in which those forecasts affect planning. Key decisions and their characteristics were identified based on a series of interviews and activity monitoring. These decisions are presented and discussed in relation to various solutions proposed by the scientific community for planning, as well as within the concept of Advanced Planning Systems. The yield forecasts used to inform budgeting and harvesting plans are of critical importance because actions taken based on those forecasts affect the entire value chain, highlighting the need for a decision-making framework that assess the effects of decisions on subsequent processes. Advanced Planning Systems design to the sugar value chain should incorporate the use of yield forecasts for production and must address the uncertainties throughout the entire system. These improvements can enhance the performances of Advanced Planning Systems by producing an integrated planning approach that is based on a comprehensive assessment of the sugar value chain.

The PLC Control System Design of Radial Drilling

Focus on the disadvantages such as complicated circuit , poor reliability, difficulty troubleshooting and etc of the traditional relay-contactor control system of Z3040 radial drilling machine, the PLC control system design plan was proposed, the hardware and software design of electrical control system included the PLC selection, the I/O terminal assignments, the I/O hardware wiring diagram drawing as well as the PLC ladder program design was completed in this thesis based on control theory analysis of radial drilling machine.

Development of Airworthiness Database System with Validation Process for Design Programs of General Aviation Aircraft

In this paper, a design process is established by integrating aviation safety requirements for the development of general aviation aircraft. An Airworthiness-Design Integration System, which integrates certification requirements with the entire design/analysis process, is developed and presented. For the proposed system, KAS 23/FAR 23/AC 23/CS 23 certification regulations are analyzed to determine design constraints and system compliance checks and to construct an ER&G (Engineering Requirement and Guide) and a Design-Certification Related Table (DCRT). Furthermore, through building a DB (Data Base), the management of design and certification related resources for developing a FAR 23 class aircraft are made. Certification tools and resources are also efficiently managed by the DB. The connection between the certification requirements and the detailed design process is proposed in this system. Tracking of this proposed method is validated by configuring a USE CASE and a system. The Airworthiness-Design Integration system will be constructed based on the system's design plan, certification system, and usage scenarios.