Journal articles: 'Manufacturing Resources Planning'

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Barekat, Matthew M. "Distributed Manufacturing Resources Planning Cuts Manufacturing Lead‐Times." International Journal of Logistics Management 2, no. 1 (January 1991): 52–58. http://dx.doi.org/10.1108/09574099110804689.

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Karl, F., G. Reinhart, and M. F. Zaeh. "Strategic Planning of Reconfigurations on Manufacturing Resources." Procedia CIRP 3 (2012): 608–13. http://dx.doi.org/10.1016/j.procir.2012.07.104.

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Reiff, Colin, Matthias Buser, Thomas Betten, Volkher Onuseit, Max Hoßfeld, Daniel Wehner, and Oliver Riedel. "A Process-Planning Framework for Sustainable Manufacturing." Energies 14, no. 18 (September 14, 2021): 5811. http://dx.doi.org/10.3390/en14185811.

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Process planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future competitiveness. In this paper, a framework for the planning of sustainable manufacturing is proposed. It is based on the abstraction and generalization of manufacturing resources and part descriptions, which are matched and ranked using a multi-criteria decision analysis method. Manufacturing resources provide values for cost, quality, time and environmental impacts, which multiply with their usage within a manufacturing task for a specific part. The framework is validated with a detailed modeling of a laser machine as a resource revealing benefits and optimization potential of the underlying data model. Finally, the framework is applied to a use case of a flange part with two different manufacturing strategies, i.e., laser metal-wire deposition and conventional milling. The most influential parameters regarding the environmental impacts are the raw material input, the manufacturing energy consumption and the machine production itself. In general, the framework enabled the identification of non-predetermined manufacturing possibilities and the comprehensive comparison of production resources.

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Oden, Howard W. "Integrating manufacturing resources planning (MRP II) with flexible manufacturing systems (FMS)." Computers & Industrial Engineering 13, no. 1-4 (January 1987): 107–11. http://dx.doi.org/10.1016/0360-8352(87)90061-1.

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Wazed, M. A., Shamsuddin Ahmed, and Nukman Yusoff. "Commonality and its Measurement in Manufacturing Resources Planning." Journal of Applied Sciences 9, no. 1 (December 15, 2008): 69–78. http://dx.doi.org/10.3923/jas.2009.69.78.

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James, Philip N. "JOE GORFIDA On IT and Manufacturing Resources Planning." Information Systems Management 12, no. 3 (January 1995): 91–94. http://dx.doi.org/10.1080/07399019508962996.

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Denkena, Berend, Marcel Wichmann, Simon Kettelmann, Jonas Matthies, and Leon Reuter. "Ecological Planning of Manufacturing Process Chains." Sustainability 14, no. 5 (February 25, 2022): 2681. http://dx.doi.org/10.3390/su14052681.

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Production planning is a critical step for the implementation of sustainable production. It is necessary to consider energy and resource efficiency in all planning phases to promote sustainable production. In this paper, an approach for environmental impact assessment in all phases of process chain planning supported by process models is presented. The level of detail of the assessment is determined based on the level of detail of the planning phase. During the assessment, consumption of energy and resources is considered. This approach aims to align planning phases with the objective of sustainable production. In rough planning, the approach allows the selection of an ecologically favorable process chain. In detailed planning, process parameters can be selected based on their ecological sustainability. The approach can be integrated into the planning of process chains in order to consider ecological factors throughout all planning phases. The approach is evaluated by using an exemplary use case. The results indicate that rough planning under the consideration of uncertainties can form a reasonable prediction about resource efficiency for possible manufacturing routes. By systematically selecting a resource-efficient process chain, energy savings of up to 21% can be achieved for the presented use case.

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Lekiqi, Bislim. "Human resource planning in manufacturing enterprises." Technium Social Sciences Journal 27 (January 16, 2022): 1015–28. http://dx.doi.org/10.47577/tssj.v27i1.6564.

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Enterprises in Kosovo are marking significant development steps by launching quality products and services in the national, regional and international market. In this context, the role and importance of human resources is indisputable, and with it their planning. Reaching international agreements, certification of enterprises with quality standards and increasing purchasing power in Kosovo, is influencing Kosovar enterprises to produce more and more for the domestic market, but also for the international market by increasing exports. The growth trend of Kosovar manufacturing enterprises is positive and based on the current situation, this research conducted through the survey aims to bring information about human resource planning in manufacturing enterprises in Kosovo as an instrument to achieve their goals for next year, but also for the future in general. The results of this research will be able to serve enterprise managers, state decision makers and educational institutions to deepen cooperation with businesses for even deeper research that will serve you for the design of study curricula as well as for the development policies of enterprises and institutions for the future.

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Karl, Florian, and Gunther Reinhart. "Reconfigurations on manufacturing resources: identification of needs and planning." Production Engineering 9, no. 3 (March 31, 2015): 393–404. http://dx.doi.org/10.1007/s11740-015-0607-x.

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Perdana, Yandra Rahadian. "Adoption of Enterprise Resources Planning (ERP) In Indonesian Manufacturing Companies." GATR Journal of Business and Economics Review 5, no. 3 (December 30, 2020): 86–93. http://dx.doi.org/10.35609/jber.2020.5.3(2).

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Objective – Enterprise resource planning (ERP) is a technology that supports the management of supply chain activities. ERP consists of modules that have various operational and strategic functions. The more modules that are used, the higher the adoption rate is. This study aims to examine the adoption rate based on the modules used. Methodology/Technique – Manufacturing companies in Indonesia were selected as samples to answer the objective of this research and 155 respondents were obtained. The response from each respondent was categorised into two levels of adoption. The companies that adopted 1 to 4 modules were categorised as partial adopters, while companies that adopted five modules were considered to be full adopters. Findings & Novelty – This research found that 39 (25%) companies had fully adopted the ERP modules, 24 companies (15%) had adopted four modules, 29 companies (19%) adopted three modules, and 26 companies (17%) used two modules. Lastly, 37 companies (24%) used one module. Accordingly, the dominant choice is to partially adopt the technology. Type of Paper: Empirical. JEL Classification: O14, 032, O33. Keywords: Technology; Supply Chain; Enterprise Resource Planning (ERP); Adoption; Manufacturing Companies; Resource-Based View (RBV). Reference to this paper should be made as follows: Perdana, Y.R. 2020. Adoption of Enterprise Resources Planning (ERP) In Indonesian Manufacturing Companies, J. Bus. Econ. Review, 5(3) 86–93 https://doi.org/10.35609/jber.2020.5.3(2)

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Gaines, D. M., F. Castan˜o, and C. C. Hayes. "MEDIATOR: A Resource Adaptive Feature Recognizer that Intertwines Feature Extraction and Manufacturing Analysis." Journal of Mechanical Design 121, no. 1 (March 1, 1999): 145–58. http://dx.doi.org/10.1115/1.2829415.

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A deterrent to practical use of many feature extraction systems is that they are difficult to maintain, either because they depend on the use of a library of feature-types which must be updated when the underlying manufacturing resources change (e.g. tools and fixtures), or they rely on the use of task-specific post processors, which must also be updated. For such systems to become practical, it must be easy for a user to update the system to match the current resources. This paper presents MEDIATOR (Maintainable, Extensible Design and manufacturing Integration Architecture and TranslatOR). MEDIATOR is a resource adaptive feature extraction and early process planning system for 3-axis milling. A resource adaptive system is one that changes its behavior as the manufacturing resources in a shop change. MEDIATOR allows users to select from a standard set of tools and fixtures, and automatically identifies any changes in the features that result. It attains its resource adaptive behavior by blurring the line between feature extraction and process planning; descriptions of the manufacturing resources are used to directly identify manufacturable areas of the part. A non-programmer can easily update MEDIATOR by selecting different shop resources.

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Chen, James C., Cheng Ju Sun, and Po Tsang B. Huang. "Integrated Capacity Planning System for IC Backend Factory." Key Engineering Materials 450 (November 2010): 369–72. http://dx.doi.org/10.4028/www.scientific.net/kem.450.369.

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Integrated Circuit (IC) manufacturing consists of four major phases - wafer fabrication, wafer probe, IC packaging, and final test. Wafer fabrication and wafer probe belong to front-end process, while IC packaging and final test belong to backend process. In this research, integrated capacity planning system (ICPS) is proposed for IC backend manufacturing by taking into account the capacity and capability of resources. This study develops integrated infinite capacity planning integrating the capacity planning of both IC packaging and final test processes to minimize the standard deviations of machine utilization and kit utilization as well as the total extra capacity requirement (as a percentage) exceeding the capacity limit of machine and kit. ICPS applies the concept of workload leveling and infinite capacity planning on dual resources. ICPS consists of five modules: Work-In-Process (WIP) Pulling Module, Lot Release Module, Resource Selection Module, Workload Accumulation Module, and Workload Balance Module. WIP-Pulling Module pulls WIP from the end of the process route to meet the master production schedule (MPS). If WIP cannot meet the MPS requirement, Lot Release Module is executed. ICPS will use Resource Selection Module to accumulate the required resource capacity along its routine at different time buckets. Workload Accumulation Module simultaneously accumulates the workload of the major resources. Workload Balance Module levels the loading of resources by adjusting the lot’s start time using these resources. ICPS is developed in Microsoft Visual Basic and industrial data are used to test its performance. The results show that ICPS is effective and efficient to balance the workload of resources for IC backend factories including packaging and final test.

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ZHANG, FA PING. "RESEARCH ON GRAPH THEORY-BASED MANUFACTURING SETUP PLANNING." Journal of Advanced Manufacturing Systems 07, no. 02 (December 2008): 313–18. http://dx.doi.org/10.1142/s0219686708001541.

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Automatic generation of manufacturing setup planning is studied in this work. The mathematical model to describe the tolerance information and datum-machining feature relationship has been formulated based on extended graphics. By means of the transformation between the feature tolerance relationship graph(FTG) and the datum-machining feature relationship graph (DMG), the algorithm to automatically generate setup planning has been given based on the tolerance analysis and manufacturing resources capability model. The algorithm can identify the machining feature and datum, optimize setup groups based on the manufacturing resource capability and tolerance analysis, as well as minimize the influence of the locating error stack-up on the machining quality. Finally, a case study of setup planning is presented to verify the feasibility of the methodology.

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Xiao, Yan Qiu, Lei Wang, and Qi Li. "Research on the Integration Model of Process Planning and Job-Shop Scheduling." Applied Mechanics and Materials 513-517 (February 2014): 1605–8. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1605.

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In order to meet the flexible requirements of enterprise production, an integrated optimization model based on the virtual manufacturing unit of process planning and job-shop scheduling is established. The model makes manufacturing resources information as a combining point and makes the two separate system integrated optimization. Then process route is established in three stages. At the same time uses hierarchy parallel operation mode to transfer and sharing the information of manufacturing resource by the layer of enterprise, work shop and parts. And the parallel mode of process and scheduling work meet the match selection of process and resources, this provides a theoretical basis for the real-time optimization of process planning and shop scheduling.

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Perdana, Yandra Rahadian. "Adoption of Enterprise Resources Planning (ERP) In Indonesian Manufacturing Companies." 11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 11, no. 1 (December 9, 2020): 44. http://dx.doi.org/10.35609/gcbssproceeding.2020.11(44).

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Enterprise resources planning (ERP) is an automation technology with a systems approach that supports and manages business activities. ERP is the result of the development of information systems for material requirements planning (MRP) and MRP II. Information sharing activities in the supply chain become more accurate and real-time with ERP. ERP's adoption improves organisational performance in managing information, products, and financial flows (Su & Yang, 2010). Previous studies (AL-Shboul, 2018; Ilin, Ivetić, & Simić, 2017; Junior, Oliveira, & Yanaze, 2019; Mayeh, Ramayah, & Mishra, 2016; Rajan & Baral, 2015; Ram, Corkindale, & Wu, 2014) have discussed ERP's adoption, but unfortunately they could not explain the level of adoption in detail. Most researchers have only investigated ERP's adoption based on the use of ERP, regardless of the number of modules used. Conceptually, ERP has five modules, the more of the complete modules that are used, the higher the adoption level is. Consequently, the adoption rate should not be limited to one module, but it is necessary to know how many modules are adopted. Therefore, this research offers an answer to the lack of literature that discusses the level of adoption based on the number of ERP modules. Keywords: Technology; supply chain; enterprise resouces planning (ERP); adoption; manufacturing companies.

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Zhao, Xiande, Fujun Lai, and Scott Young. "A study of Manufacturing Resources Planning (MRPII) implementation in China." International Journal of Production Research 40, no. 14 (January 2002): 3461–78. http://dx.doi.org/10.1080/00207540210148853.

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Sun, Yan Fang. "Compare Business Process between Construction and Manufacturing on the Application of ERP." Advanced Materials Research 243-249 (May 2011): 6273–78. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6273.

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To illustrate that the application of ERP in construction industry is feasible and necessary, this paper analyzes the business process of construction industry based on the four development phases of ERP in manufacturing -- basic MRP, closed-loop MRP, manufacturing resources planning(MRP-II), enterprise resource planning(ERP), and compares the business process between construction and manufacturing. Finally it concludes that there exist many similarities in construction and manufacturing and implement ERP in construction industry is feasible to some extent.

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Liu, Pei Zhi, Jun Ji, Wei Yan Chai, and Xiao Chuan Zhao. "Research on the Key Technology of Manufacturing Services Modeling under Cloud Manufacturing Environments." Applied Mechanics and Materials 624 (August 2014): 687–93. http://dx.doi.org/10.4028/www.scientific.net/amm.624.687.

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To realize sharing and synergy between manufacturing resources and manufacturing capability in cloud manufacturing, the manufacturing service model is divided into function model and non-function model. Elements and description of function model is given, and function model determines manufacturing services’ combination planning. Also the composition of non-function model and each part’s weight is presented, and non-function model is the basis to evaluate the priority of manufacturing services. For the case of resource in cloud manufacturing services, sharing ontology and private ontology are researched. Sharing ontology is common description of the whole manufacturing domain, and private ontology is individual description of a specific manufacturing platform. The transformation between sharing ontology and private ontology provides a way for isomerism resources to invoke each other.

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Subramanya, N., A. R. Satheesh Kumar, Vikas Yadav, and R. K. Venkatesh. "Manufacturing process planning in aerospace systems." IOP Conference Series: Materials Science and Engineering 1258, no. 1 (October 1, 2022): 012027. http://dx.doi.org/10.1088/1757-899x/1258/1/012027.

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Process planning is a task comprising a broad range of activities to design and develop an appropriate manufacturing process for producing a part. Interpretation of the part design, selection of manufacturing processes, definition of operations, operation sequences, machining datums, geometrical dimensions and tolerances are some common activities associated with the task. Manufacturing process planning can be defined as systematic determination of detailed methods by which work pieces or parts can be manufactured economically and competitively from raw material stage to final finished size. Geometrical features, dimensional sizes, tolerances, materials, and finishes, are analyzed evaluated to determine appropriate sequence of processing operations, which are based on specific, available resources viz machinery and manpower. Inputs to process planning are designing data, raw material data, resource data (machining data, tooling data, fixture data etc), quality requirement data, production type data etc. The output of a process planning is a process document which is an important document in production management. The paper mainly discusses about production planning and control of metallic manufacturing activities in an aerospace Research and Development (R&D) industry, main emphasis on manufacturing process planning. The general process planning methodology adopted in an aircraft industry is discussed. Elements and Functions of process planning, model of process planning, main mission of process planning, the interaction of processes and its process performance indices are discussed and presented. Importance of manufacturing process planning in an aerospace R&D industry is debated. Also, a case study of process planning adopted for manufacturing of a critical Aircraft system component is discussed.

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Xu, Wei, and Yinyun Yu. "Optimal Allocation Method of Discrete Manufacturing Resources for Demand Coordination between Suppliers and Customers in a Fuzzy Environment." Complexity 2018 (August 29, 2018): 1–18. http://dx.doi.org/10.1155/2018/1410957.

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Discrete manufacturing products are often assembled from multiple parts through a series of discrete processes. How to effectively configure resources in a discrete manufacturing environment is an important research topic worthy of attention. Based on an in-depth analysis of the discrete manufacturing operation model and the manufacturing resource allocation process, this paper fully considers the uncertainty factors of the manufacturing resource customers and the interests of the manufacturing resource suppliers and proposes a bilevel planning model under a fuzzy environment that comprehensively considers the customers’ expectation bias and the suppliers’ profit maximization. The method firstly uses a language phrase to collect the language evaluation of the customers and suppliers for manufacturing tasks and uses a trapezoidal fuzzy number to convert the language evaluation phrase into a value that can be calculated. Then, we use the prospect theory to optimize the constraint indicators based on the language evaluation of customers and suppliers. Next, the bilevel planning model for optimal configuration of manufacturing resources in discrete manufacturing environment is established under the consideration of the respective interests of both the customers and the suppliers, and the fast nondominated sorting genetic algorithm (NSGA-II) is used to solve the model. Finally, an example is given to verify the validity and feasibility of the model.

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Cao, Yan, Zhong Bao Qin, and Sen Cao. "Manufacturing Resources Optimal Selection and Rough Production Capability Estimation for Market-Driven Rapid Response Manufacturing." Advanced Materials Research 102-104 (March 2010): 946–50. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.946.

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Market-driven rapid response manufacturing demands manufacturing enterprises to increase their agility and robustness. This leads to more effective and efficient organization, management, planning and control of manufacturing resources in the manufacturing enterprises. In the paper, object-oriented method is adopted and UML is used to establish a manufacturing resource model. Then, all evaluation indices and corresponding hierarchical structure are established based on AHP. Then, the problem of rough capability estimation for Make-to-Order enterprises is described and discussed that deal with production orders of different delivery dates based on limited manufacturing resources. A rough production capability estimation system for Make-to-Order enterprises under limited manufacturing resources constraints is developed on Delphi 7 platform. The approach can be used to rapidly judge whether an enterprise has the capabilities needed to finish production orders on time, and to estimate a new order’s delivery date. The study of the paper lays the foundation for the future research of supply chain and distributed manufacturing.

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Amalnik, Morteza Sadegh. "A Reference Model and a vision for manufacturing system for 2030." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 7 (April 30, 2015): 5861–68. http://dx.doi.org/10.24297/ijct.v14i7.1899.

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The manufacturing enterprises are now experiencing high pressure of competition. In addition, the advancement in computer software, hardware, networks, information technologies and integration has been gradually reshaping the manufacturing companies by shifting from the industrial age to the information and knowledge era. Due to these elevated competitiveness and advanced computer technology, a number of new manufacturing and management strategies (e.g., Lean production, Just in time, Kaizen, Concurrent Engineering (CE), Cellular Manufacturing (CM), Agile manufacturing, Business process re-engineering (BPR), Agent-based systems (ABS), Computer Integrated Manufacturing (CIM), virtual manufacturing system have emerged for the innovation of manufacturing industries. The developments in organizational concepts created new concepts such as Smart organizations, Centers of excellence, Intelligent enterprises, Integrated enterprises, Virtual enterprises, Virtual enterprises networks, Dynamic enterprises, Extended enterprises, Agile enterprises, Lean enterprises, Process-driven organizations, e-enterprises, Borderless enterprises, Complicated or complex manufacturing systems, Flat structures and others. These terms have been used by researchers to describe various aspects of enterprises and its operational aspects. Although they have different definitions and scopes, there are several common issues: integration of enterprise functions; integration of enterprise resources; and collaboration. In addition Various vendors produced software applications such as Materials Requirement Planning (MRP), Manufacturing Resource Planning (MRP II), Enterprise Resource Planning (ERP),CAD/CAM systems, Manufacturing Execution System (MES), Advanced Planning & Scheduling System (APS), Supply Chain Execution (SCE), Customer Relationship Management (CRM), Advanced Order Management (AOM), Warehouse Management Systems (WMS), Transport Management System (TMS) and others. This paper proposes a Reference Model and vision for Manufacturing System for 2030 and discussed various aspects of future manufacturing enterprise..It supports the inter-enterprise functions/resources integration and collaboration over the networked environment.

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Zahra, Shaker A., and Sidhartha R. Das. "Building competitive advantage on manufacturing resources." Long Range Planning 26, no. 2 (April 1993): 90–100. http://dx.doi.org/10.1016/0024-6301(93)90140-b.

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Oladokun, V. O., and F. T. Olagunju. "A Framework for the Development of a Manufacturing Resources Planning System." International Journal of Engineering Research in Africa 13 (December 2014): 49–59. http://dx.doi.org/10.4028/www.scientific.net/jera.13.49.

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Many Small and medium scale enterprises (SMEs), because of the limited scope and size of their operations consider investment in proprietary Enterprise Systems unattractive. Meanwhile In-house development approach has been identified as a way deepening the adoption of these productivity enhancement systems among SMEs in developing economies. This paper presents a framework for developing Manufacturing Resources Planning software adaptable for SMEs in Nigeria and other developing economies. After the critical study and analysis of manufacturing systems, algorithms were developed for generating the material requirement plans for four different lot-sizing techniques. Subsystems for determining Labour and machine capacity requirements and costs, subsystems for material and running costs were integrated into the MRP algorithms. User friendly software of the resulting system was developed using visual basic. The system components were tested using a small-scale process and a middle-scale process to ensure proper functionality. The software which comes with various graphical reporting tools like tables and bar charts was shown to be flexible and accurate, suitable for small and medium enterprises.Keyword: Enterprise Systems, inventory, Material Requirement Planning, Resources planning

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Wazed, Md Abdul, Shamsuddin Ahmed, and Yusoff Nukman. "Commonality in manufacturing resources planning – issues and models: a review." European J. of Industrial Engineering 4, no. 2 (2010): 167. http://dx.doi.org/10.1504/ejie.2010.031076.

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BALASUBRAMANIAN, SIVARAM, FRANCISCO P. MATURANA, and DOUGLAS H. NORRIE. "MULTI-AGENT PLANNING AND COORDINATION FOR DISTRIBUTED CONCURRENT ENGINEERING." International Journal of Cooperative Information Systems 05, no. 02n03 (June 1996): 153–79. http://dx.doi.org/10.1142/s0218843096000075.

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The centralized planning and control that has defined the traditional information processing structure of manufacturing systems is no longer suited to the current rapidly changing manufacturing environment. For efficient use of manufacturing resources and increased flexibility, it is necessary to migrate to a distributed information processing system in which individual entities can work cooperatively towards overall system goals. The next generation of manufacturing systems requires such an information technology framework to integrate the system components and activities into a larger collaborative enterprise. This paper describes a multi-agent approach to concurrent design, manufacturability analysis, process planning, routing and scheduling. A heterogeneous multi-agent concurrent engineering system consisting of multiple feature-based design sub-systems, multiple simulated shop-floor resource groups, a supervisory control interface and the coordination mechanisms for multi-agent cooperation, has been developed. The architecture of this distributed system and the associated implementation issues are discussed.

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HERNÁNDEZ VÁZQUEZ, José Israel, Salvador HERNÁNDEZ GONZÁLEZ, José Omar HERNÁNDEZ VÁZQUEZ, José Alfredo JIMÉNEZ GARCÍA, and María del Rosario BALTAZAR FLORES. "Production Planning through Lean Manufacturing and Mixed Integer Linear Programming." Leather and Footwear Journal 21, no. 1 (March 31, 2021): 47–62. http://dx.doi.org/10.24264/lfj.21.1.5.

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Production planning is one of the most important administrative decisions a company can make, as it involves achieving the lead times set by the customers while taking advantage of the resources the organization has. Over time, different strategies using mathematical models have been implemented in production planning, aimed at finding the best solution for optimizing the available resources. In recent years companies throughout the world have successfullly implemented Lean Manufacturing, aimed at improving their production processes and eliminating everything that does not add value to the product. This article exemplifies a new strategy for production planning, using basic concepts from Lean Manufacturing and mixed integer linear programming models by stages. We took a women’s footwear factory in the city of León, Guanajuato, México, as a case study. The results show that it is possible to get planning that optimizes the organization’s resources and shortens the products’ lead times by shrinking inventories, from a Lean Manufacturing perspective.

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Wang, Jun, Hai Li Zhang, and Zhang Yue Su. "Manufacturing Knowledge Modeling Based on Artificial Neural Network for Intelligent CAPP." Applied Mechanics and Materials 127 (October 2011): 310–15. http://dx.doi.org/10.4028/www.scientific.net/amm.127.310.

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CAPP(computer aided process planning) is a key technology for integration of CAD and CAM. Process planning relies on manufacturing knowledge and CAPP is characterized with multi-knowledge resources, multi-task, multi-level and multi-constrain so process planning is hard to automate. This paper introduces the artificial neural network for unstructured manufacturing knowledge modeling, knowledge is represented as neural network weight value matrix, and then form ANN database to support intelligent CAPP. Example about cutting force modification is presented to test the feasibility of this approach. As Intelligent CAPP is knowledge based and structure of CAPP varies with types of knowledge representation, this paper presents the system structure of intelligent CAPP system. This system employs the black-board inference, unified manufacturing resource and part model, multi-knowledge database to realize the process planning automatically.

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Hagazi, Hadgu Haftu, and Xiao Jun Guo. "Implementation of Advanced Planning and Scheduling System in Manufacturing Industries." Advanced Materials Research 718-720 (July 2013): 2485–90. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2485.

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Advanced planning and scheduling system's (APS) implementation and operation process for elaborating a production schedule in a production environment similar to what is found in industries. The main characteristics and restrictions of a real production environment were thus considered, such as multi-level structure products, production routes with sequential, parallel and alternative operations, more than one resource per operation and alternative resources. In terms of results, this study provides an overview of the main steps involved in the implementation and operational process of an APS system in an industry, providing an important indicator for choosing and using this sort of system. The expectations of APS systems have been high, both from academia and industry in the subject area of manufacturing planning and control. Relative the massive interest there has not been much written about how APS systems are used in practice and what effects an APS approach really results in.

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Xu, Wei, and Zhao Ming Liu. "Research on Green Manufacturing-Oriented Machining Process Planning." Applied Mechanics and Materials 333-335 (July 2013): 2266–69. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2266.

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This paper studies the connotation and features of green manufacturing-oriented machining process planning and the methods to optimize it. It argues that, through optimized decision making and planning concerning process routes, process methods, process equipments, process parameters, process programs and so forth, each phase of the technological procedure can be improved to be more environmental friendly. Hence both economic and social benefits will be coordinated and optimized during product production. Fewer resources will be consumed and the negative influence on the environment will be mitigated.

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Xu, Huan-Min, and Dong-Bo Li. "A clustering-based modeling scheme of the manufacturing resources for process planning." International Journal of Advanced Manufacturing Technology 38, no. 1-2 (June 14, 2007): 154–62. http://dx.doi.org/10.1007/s00170-007-1075-z.

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Echdar, Saban. "Human capital development strategy on go-public manufacturing companies in Indonesia." Journal of Economics, Business & Accountancy Ventura 18, no. 1 (May 1, 2015): 103. http://dx.doi.org/10.14414/jebav.v18i1.387.

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This study analyzes the development of human capital strategy in go-public manufactur-ing companies, examining the several effects of variables, and also the effect of interven-ing variables on the development of human capital. The population consists of 151 go-public manufacturing companies listed on the Stock Exchange. The purposive sampling method was used and 12 companies were taken in which 10 of respondents from each company consisting of managers and staff, and the data were analyzed using Structural Equation Modeling (SEM). It shows that the first, the external environment has positive and significant effect on the planning and management of human resources, education and training, and the development of human capital, but has no significant effect on improving employees, employee performance and recognition, and employee satisfaction. Second, the internal environment has a positive and significant impact on the planning and management of human resources, employee improvement, education and training, employee performance and recognition, employee satisfaction, and the development of human capital. Third, planning and human resource management, employee improve-ment, education and training, employee performance and recognition, and employee satisfaction have a significant and positive effect on the development of human capital.

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Wan, J. "Demand prediction and optimization of workshop manufacturing resources allocation: A new method and a case study." Advances in Production Engineering & Management 17, no. 4 (December 30, 2022): 413–24. http://dx.doi.org/10.14743/apem2022.4.445.

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At present, great changes are taken place in the internal production management and resource allocation model of manufacturers. Under the premise of rational resource allocation, the completion period of products largely depends on the timeliness of resource allocation. The related studies mostly tackle the allocation of a single type of production resources in a single workshop, without considering much about the mutual influence between workshops. Through in-depth research on workshop manufacturing practices, this paper chooses to explore the planning, allocation, and demand prediction of manufacturing resources, which has long been a difficulty in workshop production. The research has great scientific research significance and practical value. The authors designed an algorithm based on the difference of the mean stagnation time of different production processes in the execution process, and used the algorithm to predict the number of production resources required in each period, before formulating the optimal configuration plan. This method is highly reasonable and applicable. After presenting a prediction method for the allocation demand of workshop manufacturing resources, the authors discussed whether the manufacturing resource allocation between different workshops is balanced in a fixed period. Then, a new idea was proposed for collaborative production between machines of different workshops in a specific environment, and an optimization algorithm was put forward to optimize the manufacturing resource allocation to machines facing the operation execution process. Through experiments, the authors compared the utilization rate of material, technological or human production resources in each period, and thereby verified the effectiveness of the proposed algorithm.

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Sunarsi, D., Z. Sukawi, A. Khoiri, R. Salam, and D. Ilham. "Management of Human Resource (HR) Empowerment Planning in Schools." AL-ISHLAH: Jurnal Pendidikan 14, no. 3 (July 8, 2022): 2793–802. http://dx.doi.org/10.35445/alishlah.v14i3.1363.

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The availability of human resources is the trigger for quality education in addition to the cost factor and educational infrastructure. The purpose of the study was to analyze the management of teacher resource planning in an ideal school through an educational management approach. Qualitative research methods with literature review on sources that can be accounted for and analyzed descriptively and concluded. The results showed that 1) teacher resource planning in schools through planning analysis based on school goals and objectives, 2) planning management using the conceptual Transactional Planning, 3) Evaluation and Monitoring in Planning based on school external goals, and 4) Needs Projection Analysis, Provision of Personnel educators and education using the linkage of demand and supply of teachers. One element of planning management is not fulfilled, it is assumed that the empowerment of teacher resources is not active and less than optimal in the context of developing education in schools.

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Thamaraiselvan, V., and N. Ramakrishnan. "Flexible Process Planning Design and Resource Optimization." Shanlax International Journal of Management 8, S1-Feb (February 26, 2021): 38–48. http://dx.doi.org/10.34293/management.v8is1-feb.3756.

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Manufacturing processes undergo various transformations based on technological advancements and industry expectations. At initial times, during the period of first Industrial revolution, products were getting manufactured using human capabilities and skills. Then, electrically-driven motors, machines and conveyors were used. Now in the fourth Industrial revolution, Industries are equipped with automation, robots and cyber-physical systems. But adopting such technologies requires a high capital investment which cannot be accommodated by some start-ups. In this research paper, a case of a start-up which manufactures straws and vessel scrubbers in an eco-friendly manner as an initiative towards sustainability has been discussed. The key product of the company is biodegradable straws which are manufactured from coconut leaves through a set of processes. The scope of the research is to develop a labour-intensive process planning model. Managing contemporary issues is a big task for the company because of the dynamic nature of the environment. In this case, the demand for straws changes based on customer preference and accordingly, the manufacturing processes need to be revised. Hence, developing a rigid planning model is not an effective solution, so that, flexible manufacturing process needs to be developed. There is always a scope of improvement towards betterment and optimization in a manufacturing process. It is not necessary that the improvements should lead to drastic results. Japanese manufactures who bring the Toyota Production System (TPS) believe that small improvements in a continual basis will fetch better results in terms of quality, efficiency and lead time reduction. Once the model is developed, areas of improvement to optimize the resources are found out and iterations of process planning model were carried over to improve the efficiency. Through the study, it is found that the development of a flexible process plan is required to compete with the changing business scenarios.

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Thilmany, Jean. "It’s All About Togetherness." Mechanical Engineering 123, no. 08 (August 1, 2001): 64–67. http://dx.doi.org/10.1115/1.2001-aug-5.

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This article focuses on various features of product data management system (PDM). A PDM system manages all forms of product data; that is, computer-aided design or text files, or anything else concerning product development. PDM systems also ensure that bills of material are generated on the design side. The bill of material describes exactly what parts will be used in each manufactured product. Using the bill of material (BOM), a manufacturing engineer determines the most efficient set of operations to manufacture a product and may request a design modification to streamline production. BOM development should logically take place in the PDM system at the same time the product is being developed and then should be released to the enterprise resource planning system—and thus to the manufacturing side—when the product design is complete. An enterprise-resource planning system is a company’s operational, planning, and control system used to manage the resources of the manufacturing part of the operation.

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Morita, Daisuke, and Haruhiko Suwa. "An Exact Method for Robust Capacity Requirements Planning." International Journal of Automation Technology 9, no. 3 (May 5, 2015): 216–21. http://dx.doi.org/10.20965/ijat.2015.p0216.

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This paper proposes a robust method of capacity requirements planning (CRP) that can generate a stable load plan against dynamic changes in a manufacturing environment. In our study, robustness refers to the degree of stability in the load plan for the occurrence of unexpected events. The purpose of the proposed method is to determine the processing periods of operation orders with the aim of minimizing the probability that the resource requirement of each operation order will exceed the capacity of corresponding resources. Through numerical experiments, we demonstrate the effectiveness of the proposed CRP method in terms of its robustness.

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Kim, Taesung, Hyunsoo Lee, and Heedong Hong. "A study on the optimal line integrated design analysis system." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 155. http://dx.doi.org/10.14419/ijet.v7i2.33.13875.

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Background/Objectives: This paper is a study on a system that standardizes processes based on smart virtual production technology strategy for manufacturing line design and development, and integrates new or existing resources and systems into one consistent and structured framework.Methods/Statistical analysis: In this paper, we standardize the process based on the digital virtual production technology strategy for manufacturing line design and development. A system that integrates new or existing resources and systems into a single, unified framework. Through this system, various events participating in the development of the manufacturing line can receive standardized work progress and communication in one consistent system. In addition, we standardized and library the scattered data to minimize the loss of data management.Findings: Users across a wide range of areas can quickly and easily perform line development from line planning to design, setup and optimization based on standardized processes and an intuitive user experience. By providing analysis results in conjunction with heterogeneous analysis engines, you can perform solution-independent business processes. The effectiveness of the proposed system was verified by applying the proposed system to the actual new and expansion manufacturing line and redesign line in the company and performing line development work.Improvements/Applications: Through this study, it is expected that the actual field data of MES (Manufacturing Execution System) and the information of planning system such as ERP (Enterprise Resource Planning) can be linked to the integrated decision support system of engineering solution.

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Andika, Ria, and Diana Diana. "Analisis Penerapan Enterprise Resource Planning (ERP) Pada PT Sinar Sosro Palembang." Jurnal Pengembangan Sistem Informasi dan Informatika 1, no. 4 (November 23, 2021): 244–52. http://dx.doi.org/10.47747/jpsii.v1i4.567.

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PT. Sinar Sosro which is the first ready to drink bottled company in Indonesia and in the world. In developing its business, PT. Sinar Sosro has distributed sales throughout the archipelago, through sales branch offices spread throughout the archipelago. PT. Sinar Sosro in its company management has implemented the Enterprise Resource Planning System, the ERP system built by Sosro's management allows access to data from Sosro's branch offices. Functional area at PT. Sinar Sosro covers: Sales and marketing, Manufacturing, Finance, Accounting, Logistics, Distribution, Inventory, Invoice. In the grip of this functional area, PT. Sinar Sosro uses SAP as its ERP program. The distribution system is capable of handling the company's manufacturing, logistics, inventory, shipping, invoicing, and accounting processes. This system helps control business activities such as sales, delivery, production, inventory management, quality management, and human resources. The modules used in SAP are inventory management, plant maintenance, production, finance and accounting, human resource management.

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Kifordu, Anthony Anyibuofu, and Asunday Ogala. "The Place of Effective Planning and Organizational Resource in Manufacturing Firms in Perspective." Randwick International of Social Science Journal 1, no. 2 (August 1, 2020): 71–76. http://dx.doi.org/10.47175/rissj.v1i2.47.

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The research study takes a look at Effective Planning and Organizational resources on Productivity using manufacturing firms in Anambra state Nigeria as a case study. Two objectives were raised; to determine the significant difference between poor planning and organisational goals and to evaluate the significant difference between poor planning and attainment of target customers. The survey used spearman’s rank correlation coefficient to determine the various statistical relationships in the study. The results revealed that effective planning has a relationship with organizational productivity and that effective planning lead to employee’s performance in an organization. Therefore, the study concludes and recommends that managers time and attention is that of improving productivity in manufacturing firms which is very important for both survival and maintenance attaining goals of the firms, therefore the organizations should measure productivity on how well resources are combined and utilized to accomplish specific desirable results to be able to achieve its objectives on organizational need, articulate its strategies and carefully pursue them.

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Festervand, Troy A., and David B. Meinert. "Purchasing Intelligence Systems In Small Manufacturing Firms: Present Status and Future Direction." International Journal of Logistics Management 3, no. 1 (January 1, 1992): 37–45. http://dx.doi.org/10.1108/09574099210804796.

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Information obtained from a Purchasing Management Intelligence System (PMIS) can provide the valuable input into a firm's strategic planning process. Because of scarce resources and the criticality of market mistakes, it is even more essential that small firms take advantage of this information resource. This articles reports the results of a study undertaken to determine the status of purchasing intelligence systems in small manufacturing firms. The results indicate that while purchasing intelligence systems exist in most small manufacturing organizations, their focus is on conventional rather than strategic activities. The results also indicate that numerous obstacles limit the effectiveness of purchasing intelligence systems. In addition to a lack of preparedness respondents identified procedural problems, a lack of resources and a weak effort/outcome relationship.

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Meland, Kenton, and Rick Spaulding. "Workload and Labor Resource Planning in a Large Shipyard." Journal of Ship Production 19, no. 01 (February 1, 2003): 38–43. http://dx.doi.org/10.5957/jsp.2003.19.1.38.

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Sound strategic planning at large corporations includes the development of accurate forecasts of workload and the attendant labor resources required for execution. These workload and resource plans are key to the development of the corporation's financial plans, such as revenue and income forecasts, forward pricing for future work, and the establishment of overhead rates. Additionally, these forecasts are used to develop the necessary hiring and subcontracting plans and to balance the assignment of manufacturing, construction, and engineering talent across numerous contracts. Lastly, such forecasts provide management a tool to assist in the evaluation of the impact of work scope changes. This paper provides an overview of the approach that Northrop Grumman Newport News uses to develop and manage its workload and labor resource forecasts.

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Sergo Rukhadze, Sergo Rukhadze. "Planning in the Management System." Economics 105, no. 11-12 (December 25, 2022): 97–105. http://dx.doi.org/10.36962/ecs105/11-12/2022-97.

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Planning determines the development perspective of manufacturing system as an object and subject of the management, active managerial impact over the management system, by means of which the determination of whole manufacturing system`s development forms is implemented to reach the goal set. The planning relies on the following principles: scientific character, complexity, balance calculation, projecting, multiple variants of decisions, adjustment of optimal variant, normativity, formation of reserves in order to decrease the manufacturing risks, approval of quantitative and qualitative indicators of the program, mandatory character of fulfilment and personification for fulfilment of the plan. Since the creation and development of the plan, it is beneficial to analyze its model from the position of practice, we may imagine the possible condition and see if how much it is foreseen and how the plan works under such conditions. Then it is necessary to put the plan in action, control its realization process, implement corrections in it (in case of necessity). Keywords: planning, manufacture, decision, resolution, organization, strategy, tactics, resources.

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Simamora, Bachtiar H., Kuspuji C. B. Wicaksono, Harly Toindo, and Rudi Rudi. "Tingkat Keberhasilan Implementasi Enterprise Resources Planning di BUMN Sektor Manufaktur di Indonesia." Binus Business Review 6, no. 2 (August 31, 2015): 184. http://dx.doi.org/10.21512/bbr.v6i2.968.

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Implementation of the Enterprise Resource Planning (ERP) is an investment that does not appear in an organization. Indonesia State-Owned Enterprise, in particular manufacturing sector that have the leeway and autonomy to do ERP investments in supporting the achievement of its vision and mission. The World Economic Forum, put Indonesia on a ranking of 82 among the countries in the world in ICT utilization. This research aimed to test how big the investment that has been implanted in the area of information technology in the manufacturing sector, State-Owned Enterprises and the extent of the investment for the competitiveness of the company as well as its contribution to the wind of change on the manufactures business in Indonesia. This research was conducted to explore the performance of ERP implementation project. ERP implementation success rates seen from aspect of project management, determination of critical elements of urgency and contextual factors. The result is that all independent variables influence significantly to the success of the implementation of ERP of SOE’s manufactures. The greatest contribution to the success of such in sequence is an element of urgency determination of critical factors, a contextual factors, and management of the project.

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Bhamare, Shubham. "Improving Productivity of Dairy Products by Effective Material Handling and Layout Design." International Journal for Modern Trends in Science and Technology 6, no. 5 (May 2020): 112–16. http://dx.doi.org/10.46501/ijmtst060520.

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To achieve the maximum productivity by optimum utilization of the available resources, effective planning and designing of manufacturing equipment and also manufacturing process is useful. Effective planning tends to minimum wastage of resources and thus helps in increasing productivity. The aim of this research paper is to study the design, plant and its management and implementation of industrial engineering equipment in a milk dairy industry. The study begins with observation of standard operation procedures the existing plant layout, the manufacturing equipment. We work on time study of few processes. We also find out the facts which will be helpful to increase the productivity. Time study, method study, layout study helps to reduce the superfluous movements of the workers.

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Méxas, Mirian Picinini, Osvaldo Luis Gonçalves Quelhas, Helder Gomes Costa, and Valdir de Jesus Lameira. "A Set of Criteria for Selection of Enterprise Resource Planning (ERP)." International Journal of Enterprise Information Systems 9, no. 2 (April 2013): 44–69. http://dx.doi.org/10.4018/jeis.2013040103.

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Information systems have evolved at a continual pace since administrations began to develop greater interest in production processes and supply chains. This created systems like Enterprise Resource Planning (ERP), Material Requirements Planning (MRP), and Manufacturing Resources Planning (MRPII). This research discusses a literature search conducted to map the multicriteria models used to select ERP systems. As a result, this article proposes criteria and subcriteria to be used in the selection of ERP systems. The basic structure is developed around a tree and subcriteria tree that can be used as a checklist for companies wishing to acquire an ERP system.

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Ats-Tsauri, Muhammad Ibrahim, Ayata Arrasyid, and Tri Ngudi Wiyatno. "Optimisasi Non Linear Programming Multivariat pada Perencanaan Produksi Industri Manufaktur Baja Lapis Seng (BjLS)." JURNAL TEKNIK INDUSTRI 3, no. 1 (May 19, 2022): 16–25. http://dx.doi.org/10.37366/jutin0301.1625.

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The main objective of this study was to examine the potential of production planning process optimization in Zinc Plated Steel (BjLS) manufacturing industry through Non Linear Programming (NLP) simulation. The manufacturing industry in the steel sub -sector is one of the strategic industries as it is a pillar of national development. Global competition requires companies to continuously improve the efficiency of their production activities, which is heavily influenced by the production planning process. With good production planning, it is hoped that the company can optimize the use of limited resources to achieve the company's goals. This study found that the most appropriate optimization to the real situation of the BjLS manufacturing industry is multivariate NLP with constraints on production volume, production time, raw material supply and budget to purchase raw materials. This research can also provide input on the production mix that best suits the companyâ€™s resources.

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Martínez Vivar, Rodobaldo, Alexander Sánchez Rodríguez, Reyner Pérez Campdesuñer, and Gelmar García Vidal. "Identification of variables and their influence on the human resources planning in the territorial level." Journal of Industrial Engineering and Management 9, no. 2 (May 31, 2016): 530. http://dx.doi.org/10.3926/jiem.1904.

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Purpose: The purpose of this paper lies in the use of experimental way through empirical tools for identification of the set of variables and their interrelationships and influences on the human resources planning at the territorial level.Design/methodology/approach: The methodology used to verify the existence of the variables that affect the planning of human resources at the territorial level consists of two phases: a qualitative study of the variables that influence the planning of human resources, where the explicit variables are measured and / or implied raised in the literature analyzing the main contributions and limitations expressed by each of the authors consulted. Then it proceeds to confirmatory phase (quantitative) to prove the existence of the dimensions of the planning of human resources in the territorial level through the use of multivariate statistics through the combination of expert analysis and techniques of factorial grouping.Findings: Identification is achieved by using empirical methods, variables that affect human resources planning at the territorial level, as well as their grouping essential dimensions, while the description of a theoretical model that integrates the dimensions is made essential and relationships that affect human resource planning at the regional level, which is characterized by the existence of systemic and prospective nature.Originality/value: The literature shows two streams that address a wide range of approaches to human resources planning. The first is oriented from the business object and the second part of the management in highlighting a limited territorial level to address this latest theoretical development, an element that has contributed to the fragmented treatment of human resources planning and management in general at this level. The originality of this paper is part of the creation and adaptation, on a scientific basis of a theoretical model developed from the conceptual contribution of this process at the territorial level where the key variables that affect this process are integrated, highlighting the systemic approach prospective based on solid scientific foundations.

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Birthare, Shailesh, and Surabhi Tripathi. "Business Role Security in Enterprise Resource Planning System." International Journal of Research in Engineering, Science and Management 3, no. 12 (December 6, 2020): 6–7. http://dx.doi.org/10.47607/ijresm.2020.394.

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Enterprise Resource Planning, a collective integrated approach for all business solutions, has been broadly accepted across various industries since 1990 as the upcoming generation of Manufacturing Business System and Manufacturing Resource Planning software. ERP can be taken as to be “the cost of entry for running and growing a business” (Kumar and van Hillegersberg, 2000). An ERP is an information system, which seamlessly integrated and configured for planning, execution and managing all the resources and their maximum use in the enterprise, and streamlines and incorporates the business threads within and across the functional or technical boundaries in the enterprises. With the use of such information system, an organization can automate its elementary business requirements by reducing the complexity and cost of the related integrations for its components. Enterprise may also apply business process reengineering for optimum utilization of its ERP system, and finally output as growth in business can be recorded. Thus, ERP Security plays major role in protecting an organization business data and their employee’s and customer information as well. Study of Access Control Model of ERP Security is very important to keep the enterprise IT environment safe and secure. This paper focuses on the Risk of Fraudulent behavior of user roles across in terms of usage of ERP system. The case study used the information and data based on questionnaire and various inputs from industry experts.

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Zheng, Jianguo, Xiaomei Mi, and Huchang Liao. "Advanced Planning and Scheduling Based on the Constraint Theory and Improved Tabu Search Algorithm." Recent Patents on Engineering 14, no. 2 (October 29, 2020): 221–28. http://dx.doi.org/10.2174/1872212113666191119103505.

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Background: Planning and scheduling of manufacturing enterprises are required to be rapid and accurate, which make is easy for the traditional enterprise resource planning system to meet the needs of enterprises. Objective: This paper introduces the theory of constraints and explains the control methods for production planning and scheduling. Methods: The main characteristics of the advanced planning and scheduling system are analyzed. Then, the modeling method based on the theory of constraints is used to study the scheduling path. Results: An example is given to validate the scheduling model and realize the optimization of production tasks on the bottleneck resources. Conclusion: The feasibility of the advanced planning and scheduling methods based on the theory of constraints is proved.

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Journal articles on the topic 'Manufacturing Resources Planning'

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