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Journal articles on the topic 'Manufacturing resource planning'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Rand, G. K., A. Drexl, and A. Kimms. "Beyond Manufacturing Resource Planning (MRP II)." Journal of the Operational Research Society 51, no. 2 (2000): 248. http://dx.doi.org/10.2307/254269.

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2

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 pos

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3

Stray, J., J. W. Fowler, W. M. Carlyle, and A. P. Rastogi. "Enterprise-Wide Semiconductor Manufacturing Resource Planning." IEEE Transactions on Semiconductor Manufacturing 19, no. 2 (2006): 259–68. http://dx.doi.org/10.1109/tsm.2006.873399.

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4

Denkena, Berend, Marcel Wichmann, Simon Kettelmann, Jonas Matthies, and Leon Reuter. "Ecological Planning of Manufacturing Process Chains." Sustainability 14, no. 5 (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 susta

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5

Soni, Adarsh. "Enterprise Resource Planning Software for Manufacturing Industry." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (2020): 1836–40. http://dx.doi.org/10.22214/ijraset.2020.5294.

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6

Ahsan, AMM Nazmul, Md Ahasan Habib, and Bashir Khoda. "Resource based process planning for additive manufacturing." Computer-Aided Design 69 (December 2015): 112–25. http://dx.doi.org/10.1016/j.cad.2015.03.006.

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7

Adams, Fred P., and J. F. Cox. "Manufacturing resource planning: An information systems model." Long Range Planning 18, no. 2 (1985): 86–92. http://dx.doi.org/10.1016/0024-6301(85)90026-3.

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8

Jain, A. K., R. G. Kasilingam, and S. D. Bhole. "Resource-requirements planning in flexible manufacturing systems." International Journal of Advanced Manufacturing Technology 6, no. 3 (1991): 232–45. http://dx.doi.org/10.1007/bf02601796.

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9

Winda, Ika, I. Made, and I. Ketut. "Developing Manufacturing Application using Enterprise Resource Planning Concept." International Journal of Computer Applications 164, no. 8 (2017): 19–24. http://dx.doi.org/10.5120/ijca2017913709.

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10

Otto, T., and J. Vain. "MODEL CHECKING IN PLANNING RESOURCE-SHARING BASED MANUFACTURING." IFAC Proceedings Volumes 39, no. 3 (2006): 535–40. http://dx.doi.org/10.3182/20060517-3-fr-2903.00279.

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11

Maxie Burns, O., David Turnipseed, and Walter E. Riggs. "Critical Success Factors in Manufacturing Resource Planning Implementation." International Journal of Operations & Production Management 11, no. 4 (1991): 5–19. http://dx.doi.org/10.1108/01443579110136221.

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12

Lee, TaeHyung, Young B. Moon, and Heeseok Lee. "Enterprise resource planning survey of Korean manufacturing firms." International Journal of Management and Enterprise Development 3, no. 6 (2006): 521. http://dx.doi.org/10.1504/ijmed.2006.010351.

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13

Katerattanakul, Pairin, Soongoo Hong, and Jinyoul Lee. "Enterprise resource planning survey of Korean manufacturing firms." Management Research News 29, no. 12 (2006): 820–37. http://dx.doi.org/10.1108/01409170610717835.

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14

Olhager, Jan, and Erik Selldin. "Enterprise resource planning survey of Swedish manufacturing firms." European Journal of Operational Research 146, no. 2 (2003): 365–73. http://dx.doi.org/10.1016/s0377-2217(02)00555-6.

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15

JONES, D. A. "A prototype expert system for manufacturing resource planning." International Journal of Computer Integrated Manufacturing 1, no. 3 (1988): 165–70. http://dx.doi.org/10.1080/09511928808944358.

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16

Chou, Y. C., and R. C. You. "Resource Portfolio Planning Methodology for Semiconductor Wafer Manufacturing." International Journal of Advanced Manufacturing Technology 18, no. 1 (2001): 12–19. http://dx.doi.org/10.1007/s001700170089.

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17

Thamaraiselvan, V., and N. Ramakrishnan. "Flexible Process Planning Design and Resource Optimization." Shanlax International Journal of Management 8, S1-Feb (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-

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18

Reiff, Colin, Matthias Buser, Thomas Betten, et al. "A Process-Planning Framework for Sustainable Manufacturing." Energies 14, no. 18 (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 resou

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19

Ming-wei, Jiang, and Li Shi-lian. "A hybrid system of manufacturing resource planning and just-in-time manufacturing." Computers in Industry 19, no. 1 (1992): 151–55. http://dx.doi.org/10.1016/0166-3615(92)90015-f.

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20

Misita, Mirjana, Nebojsa Lapcevic, Danijela Tadic, Dragan D. Milanovic, and Ankica Borota-Tisma. "New model of enterprises resource planning implementation planning process in manufacturing enterprises." Advances in Mechanical Engineering 8, no. 5 (2016): 168781401664626. http://dx.doi.org/10.1177/1687814016646263.

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21

GAO, Shiwen. "Manufacturing Resource Planning Technology Based on Genetic Programming Simulation." Chinese Journal of Mechanical Engineering 22, no. 02 (2009): 177. http://dx.doi.org/10.3901/cjme.2009.02.177.

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22

Towers, Neil, Alan Knibbs, and Nikos Panagiotopoulos. "Implementing manufacturing resource planning in a Greek aerospace company." International Journal of Operations & Production Management 25, no. 3 (2005): 277–89. http://dx.doi.org/10.1108/01443570510581871.

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23

Zhang, Yuyun, Shaw C. Feng, Xiankui Wang, Wensheng Tian, and Ruirong Wu. "Object oriented manufacturing resource modelling for adaptive process planning." International Journal of Production Research 37, no. 18 (1999): 4179–95. http://dx.doi.org/10.1080/002075499189727.

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24

Kee, H. Clark, and Roy L. Post. "Manufacturing resource planning on a PC local area network." ACM SIGAPL APL Quote Quad 16, no. 4 (1986): 6–16. http://dx.doi.org/10.1145/22008.22010.

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25

Maropoulos, P. G., K. R. McKay, and D. G. Bramall. "Resource-Aware Aggregate Planning for the Distributed Manufacturing Enterprise." CIRP Annals 51, no. 1 (2002): 363–66. http://dx.doi.org/10.1016/s0007-8506(07)61537-6.

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26

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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27

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 comprehensiv

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28

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 (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). ME

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29

Vandaele, Nico, and Liesje De Boeck. "Advanced Resource Planning." Robotics and Computer-Integrated Manufacturing 19, no. 1-2 (2003): 211–18. http://dx.doi.org/10.1016/s0736-5845(02)00081-9.

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30

Жилкин, О. Н., and А. Н. Жилкина. "ERP systems in modern finance management." Экономика и предпринимательство, no. 12(125) (February 16, 2021): 1239–42. http://dx.doi.org/10.34925/eip.2021.125.12.249.

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В статье рассмотрены особенности ERP-систем, систем управления всеми видами ресурсов предприятия (Enterprise Resource Planning) с точки зрения финансистов, Система основана на Концепция планирования производственных ресурсов Manufacturing Resource Planning, MRP II. Делается акцент на том, что в отличие от финансово-управленческих информационных систем, в которых производственные функции выступают в качестве «приложения» к финансовым модулям, ERPсистемы построены по более логичному принципу - от производственных процессов к финансам, указываются ограничения использования системы. The article di

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31

ZHANG, FA PING. "RESEARCH ON GRAPH THEORY-BASED MANUFACTURING SETUP PLANNING." Journal of Advanced Manufacturing Systems 07, no. 02 (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

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32

Perdana, Yandra Rahadian. "Adoption of Enterprise Resources Planning (ERP) In Indonesian Manufacturing Companies." GATR Journal of Business and Economics Review 5, no. 3 (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 adop

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33

Amalnik, Morteza Sadegh. "A Reference Model and a vision for manufacturing system for 2030." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 7 (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-eng

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34

Sulaksmi, Andri. "Perencanaan Pengendalian Persediaan Bahan Baku dengan Metode Manufacturing Resource Planning." Jurnal Teknik Industri 9, no. 1 (2009): 14–21. http://dx.doi.org/10.22219/jtiumm.vol9.no1.14-21.

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Planning material control have a purpose to compile a system capable to yield information to conduct correct action (reordering, scheduleng repeat, determining the amount of requirement at the time of is correct). One of the step performed within standard material control that is deermining best raw material ordering method utilize to get the expense of mot message of minimum. Utilize to support plan produce which have been made and fulfill Planned Order Release pursuant to calculation of MRP hence one of the capacities type from company that is labour factor had also have to be reckoned by do

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35

G, Ramya, and Chandrasekaran M. "AN INTEGRATION OF MANUFACTURING RESOURCE PLANNING AND JOB SHOP SCHEDULING." International Journal on Design and Manufacturing Technologies 6, no. 2 (2012): 29–45. http://dx.doi.org/10.18000/ijodam.70117.

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36

Annamalai, C., and T. Ramayah. "Enterprise resource planning (ERP) benefits survey of Indian manufacturing firms." Business Process Management Journal 17, no. 3 (2011): 495–509. http://dx.doi.org/10.1108/14637151111136388.

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37

Naim, Iram, Tripti Mahara, and Ashraf Rahman Idrisi. "Improvement in Procurement through Energy Resource Planning for Manufacturing Organization." International Journal of Business Excellence 19, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijbex.2019.10018659.

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38

Naim, Iram, Tripti Mahara, and Ashraf Rahman Idrisi. "Improvement in procurement through energy resource planning for manufacturing organisation." International Journal of Business Excellence 22, no. 4 (2020): 451. http://dx.doi.org/10.1504/ijbex.2020.111477.

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39

Lundell, Peter, and Björn Östlund. "A decision support system for long range manufacturing resource planning." Engineering Costs and Production Economics 12, no. 1-4 (1987): 159–64. http://dx.doi.org/10.1016/0167-188x(87)90074-7.

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40

Lee, H. "A HESS for resource planning in service and manufacturing industries." Expert Systems with Applications 10, no. 1 (1996): 147–56. http://dx.doi.org/10.1016/0957-4174(95)00041-0.

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41

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 (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. G

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42

Rahul, S. Patil, and J. Thikane S. "A comprehensive review of Digital Manufacturing." Journals of Mechatronics Machine Design and Manufacturing 2, no. 1 (2020): 1–11. https://doi.org/10.5281/zenodo.3626291.

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Reconfigurability is an important feature of modern manufacturing system as it make smooth for the seamless introduction of new products to manufacture and the -adaption to demand of capricious society. Digital manufacturing has been considered as a highly promising part of technology for reducing product cost, development times as well as it is directing us towards the increased product quality, need of customization and faster response to the market. This review paper highlights the emergence of digital manufacturing and significant role played by information technology systems in production

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43

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

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44

Tan, Shiang Yen, Idrus Rosnah, and Wai Peng Wong. "Misfits between Manufacturing Resource Planning (MRPII) System and Manufacturing Environment: A Misfit-Inviability Model." Advanced Materials Research 383-390 (November 2011): 6784–91. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6784.

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Misfit between Manufacturing Resource Planning (MRPII) system and the manufacturing environment of adopting organization are well known in contributing to the failure of the system implementation and jeopardizing the system performance. Hence, it is vital to have a better understanding of the system-context misfit problem. Nevertheless, limited studies have empirically examined the relationship between the misfit and the system outcome, especially at the dimensional level of the variables. The purpose of this paper is to introduce a Misfit-Inviability Model (MIM) to conceptualize of relationsh

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45

Asst., Prof. K. R. Vrinda Menon Dr. Kemthose Paul. "IMPACT OF INDIAN CULTURAL DIVERSITY ON ENTERPRISE RESOURCE PLANNING IMPLEMENTATION SUCCESS." Global Journal of Engineering Science and Research Management 6, no. 6 (2019): 18–22. https://doi.org/10.5281/zenodo.3250729.

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ERP is a real time integrating software that integrates all facets of the business, including planning, manufacturing, logistics, sales and marketing. ERP systems originated to serve the information needs of manufacturing companies. Over time though, they have grown to serve other industries, including financial services, consumer goods sector, supply chain management and the human resources sector. Though ERP has numerous benefits to the organization, its implementation involves streamlining business process & customization of software configuration for better compatibility. Implementatio

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46

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 schedul

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47

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 (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 thre

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48

Chryssolouris, G., D. Mavrikios, N. Papakostas, D. Mourtzis, G. Michalos, and K. Georgoulias. "Digital manufacturing: History, perspectives, and outlook." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (2009): 451–62. http://dx.doi.org/10.1243/09544054jem1241.

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Digital manufacturing has been considered, over the last decade, as a highly promising set of technologies for reducing product development times and cost as well as for addressing the need for customization, increased product quality, and faster response to the market. This paper describes the evolution of information technology systems in manufacturing, outlining their characteristics and the challenges to be addressed in the future. Together with the digital manufacturing and factory concepts, the technologies considered in this paper include computer-aided design, engineering, process plan

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49

Thilmany, Jean. "It’s All About Togetherness." Mechanical Engineering 123, no. 08 (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 d

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50

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 (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 collab

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