Bibliografie tematiche / Manufacturing resource planning

Letteratura scientifica selezionata sul tema "Manufacturing resource planning"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 4 marzo 2023

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Articoli di riviste sul tema "Manufacturing resource planning"

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Rand, G. K., A. Drexl e A. Kimms. "Beyond Manufacturing Resource Planning (MRP II)". Journal of the Operational Research Society 51, n. 2 (febbraio 2000): 248. http://dx.doi.org/10.2307/254269.

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

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Abstract (sommario):
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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Stray, J., J. W. Fowler, W. M. Carlyle e A. P. Rastogi. "Enterprise-Wide Semiconductor Manufacturing Resource Planning". IEEE Transactions on Semiconductor Manufacturing 19, n. 2 (maggio 2006): 259–68. http://dx.doi.org/10.1109/tsm.2006.873399.

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Denkena, Berend, Marcel Wichmann, Simon Kettelmann, Jonas Matthies e Leon Reuter. "Ecological Planning of Manufacturing Process Chains". Sustainability 14, n. 5 (25 febbraio 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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Soni, Adarsh. "Enterprise Resource Planning Software for Manufacturing Industry". International Journal for Research in Applied Science and Engineering Technology 8, n. 5 (31 maggio 2020): 1836–40. http://dx.doi.org/10.22214/ijraset.2020.5294.

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

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Adams, Fred P., e J. F. Cox. "Manufacturing resource planning: An information systems model". Long Range Planning 18, n. 2 (aprile 1985): 86–92. http://dx.doi.org/10.1016/0024-6301(85)90026-3.

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Jain, A. K., R. G. Kasilingam e S. D. Bhole. "Resource-requirements planning in flexible manufacturing systems". International Journal of Advanced Manufacturing Technology 6, n. 3 (agosto 1991): 232–45. http://dx.doi.org/10.1007/bf02601796.

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Winda, Ika, I. Made e I. Ketut. "Developing Manufacturing Application using Enterprise Resource Planning Concept". International Journal of Computer Applications 164, n. 8 (17 aprile 2017): 19–24. http://dx.doi.org/10.5120/ijca2017913709.

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Otto, T., e J. Vain. "MODEL CHECKING IN PLANNING RESOURCE-SHARING BASED MANUFACTURING". IFAC Proceedings Volumes 39, n. 3 (2006): 535–40. http://dx.doi.org/10.3182/20060517-3-fr-2903.00279.

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Tesi sul tema "Manufacturing resource planning"

1

Lim, Beng F. "A manufacturing resource planning system". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ40077.pdf.

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Niven, John L. "Integrating business strategy and enterprise resource planning systems /". Electronic version, 1999. http://adt.lib.uts.edu.au/public/adt-NTSM20040204.140352/index.html.

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Tinoco, Juan C. "Implementation of lean manufacturing". Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004tinocoj.pdf.

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Vorster, Jacobus Hendrik. "The need for a manufacturing resource planning system within a manufacturing company / Jacobus Hendrik Vorster". Thesis, North-West University, 2007. http://hdl.handle.net/10394/2019.

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Goldston, Justin. "Critical Success Factors in Enterprise Resource Planning Implementation in U.S. Manufacturing". ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6567.

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Abstract (sommario):
Organizational leaders have increasingly turned to enterprise resource planning (ERP) applications, also known as decision-support systems, to make their firms' operational, tactical, and strategic processes more efficient and effective in the changing global marketplace. High failure rates in ERP systems implementations make these projects risky, however. Most prior research on critical success factors for conventional ERP implementation has been on large enterprises, resulting in a gap in knowledge on these factors in the small and medium enterprises that constitute the majority of U.S. employer firms. A qualitative modified Delphi study with an expert panel of U.S. manufacturing consultants and 3 iterative rounds of data collection and analysis revealed consensus on 8 critical success factors in ERP implementations, with the highest agreement on top management support and commitment, enterprise resource planning fit with the organization, quality management, and a small internal team of the best employees. In addition to furthering knowledge in the fields of leadership and enterprise applications, the study expands enterprise resource planning experts' and scholars' understanding of strategies to improve project success and the triple bottom line for any size enterprise in the manufacturing industry. Practitioners in the ERP industry can also apply approaches outlined during ERP implementations to mitigate risk during these engagements. Implications for positive social change include additional job opportunities and higher wages through increased efficiencies in ERP applications.
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Madapusi, Arunkumar P. White Richard E. "Post-implementation evaluation of enterprise resource planning (ERP) systems". [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-6081.

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Dlodlo, Joseph Bhekizwe. "Enterprise resource planning in manufacturing SMEs in the Vaal Triangle / Dlodlo J.B". Thesis, North-West University, 2011. http://hdl.handle.net/10394/7355.

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The adoption of Enterprise Resource Planning tools has improved business processes in organisations. This increase has, however come with challenges for the small and medium business sector. First the adoption and deployment of proprietary ERP comes at great cost for organisations whilst it is also difficult for the organisations to ensure that scalability is introduced due to the dynamic change in the SME sector. The adoption and use of open source ERP tools then presents an opportunity for the SME sector. The usage of open source software has increased over the years. This increase has also extended to open source ERP tools. These tools offer the same functions as the proprietary at a fraction of the cost. Despite the benefits that open source ERP offers diffusion of this technology into the SME sector in South Africa has been minimal. This means the SME sector in South Africa is not benefiting from the widely available cost effective open source ERP available in the market. An opportunity therefore exists for them to utilise the technology to gain competitive advantage. The research was done primarily to determine the open source ERP adoption patterns of SMEs in the Vaal region. The research sought to determine the drivers for ERP adoption and barriers to adoption. Focus was specifically extended to investigating knowledge on open source alternatives. The results from the research indicate that the SMEs understand the benefits of adopting ERP for their businesses. The research further revealed that the adoption factors identified in the literature are still relevant in South Africa. The factors identified included costs, lack of training, lack of support, lack of knowledge and the lack of open source vendors. The empirical research also identified that the SME still harbour fear about open source ERP tools due to lack of training ,support and knowledge .From the study it is clear that a new approach needs to be taken to encourage adoption of open source ERP. These approaches include giving incentives to SMEs to adopt open source ERP. These incentives may be in the form of training packages and skills workshops to help overcome the barriers and improve implementation of open source ERP. The research identified the critical need for increased formal education and training in open source software development and emphasis on ERP tools. Government research bodies need to play a role in this area. For an example, there is need for SME and university collaborations in open source ERP deployment, whereby the latter needs to include software development tools in their curricula for SMEs so as to increase awareness. Clear–cut comparisons of existing proprietary systems against open source systems by focusing on functional and technological requirements need to be undertaken. This will help to reflect a cost benefit analysis as well as interoperability between the open source ERP and existing systems. During the adoption process, SME are encouraged to go through the full life cycle of open source ERP adoption. In this cycle the SME needs to do a thorough analysis regarding selection, implementation, integration, migration, training and evaluation of installed tools. That way they will gain the competitive advantage afforded by the tools.
Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2012.
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Ball, James Scott 1970. "Integrating enterprise resource planning and lean manufacturing at an automotive components supplier". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/88858.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at the Massachusetts Institute of Technology, 2000.
Includes bibliographical references (p. 123-125).
by James Scott Ball.
S.M.
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Muench, Andrew J. (Andrew James) 1970. "Redefining the aftermarket demand forecasting process using enterprise resource planning". Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/89924.

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Abstract (sommario):
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.
Includes bibliographical references (leaves 127-128).
by Andrew J. Muench.
S.M.
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Yamashita, Kazuhiro. "Implementation of lean manufacturing process to XYZ Company in Minneapolis area". Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004yamashitak2.pdf.

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Libri sul tema "Manufacturing resource planning"

1

Booth, Joe. Manufacturing resource planning. London: Department of Trade and Industry, 1991.

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Greiman, John D. Computerized manufacturing resource planning. Blue Ridge Summit, PA: TAB Professional and Reference Books, 1986.

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Drexl, Andreas, e Alf Kimms, a cura di. Beyond Manufacturing Resource Planning (MRP II). Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3.

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Goodfellow, Robin. Manufacturing resource planning, MRPII: A pocket guide. High Wycombe: Manufacturing Business Excellence, 1994.

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1966-, Nah Fiona Fui-Hoon, a cura di. Enterprise resource planning solutions and management. Hershey, Pa: IRM Press, 2002.

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6

Sherrard, William R. Activity-based costing in a manufacturing resource planning environment. Falls Church, VA: APICS Educational & Research Foundation, Inc., 1997.

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Booth, Joe. Manufacturing resource planning: An executive guide to MRP II. London: Department of Trade and Industry, 1991.

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Great Britain. Department of Trade and Industry., a cura di. Manufacturing resource planning: An executive guide to MRP II. [London]: Department of Trade and Industry, 1991.

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Levy, Gabriele. MRP II logica e implementazione. Milano, Italy: FrancoAngeli, 1994.

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Solving business problems with MRP II. 2a ed. Boston: Digital Press, 1995.

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Capitoli di libri sul tema "Manufacturing resource planning"

1

Jeziorek, Olaf. "Manufacturing Resource Planning". In Lean Production, 55–71. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89477-9_5.

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Weik, Martin H. "manufacturing resource planning". In Computer Science and Communications Dictionary, 974. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11046.

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Kurbel, Karl E. "MRP II: Manufacturing Resource Planning". In Progress in IS, 61–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31573-2_3.

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Sridharan, V., e R. Lawrence Laforge. "The Evolution of Enterprise Resource Planning". In Innovations in Competitive Manufacturing, 59–66. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-1705-4_6.

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Bastos, Ricardo Melo, Flávio Moreira de Oliveira e José Palazzo M. de Oliveira. "Decentralised Resource Allocation Planning through Negotiation". In Intelligent Systems for Manufacturing, 67–76. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35390-6_6.

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Ghobadian, Abby. "Manufacturing Resource Planning - “Some Salient Issues”". In Achieving Competitive Edge Getting Ahead Through Technology and People, 367–68. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-1904-3_62.

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Olhager, Jan, e Joakim Wikner. "A Framework for Integrated Material and Capacity Based Master Scheduling". In Beyond Manufacturing Resource Planning (MRP II), 3–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_1.

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Akkan, Can. "A Prioritized Re-Insertion Approach to Production Rescheduling". In Beyond Manufacturing Resource Planning (MRP II), 255–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_10.

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Dorn, Jürgen, Roger Kerr e Gabi Thalhammer. "Maintaining Robust Schedules by Fuzzy Reasoning". In Beyond Manufacturing Resource Planning (MRP II), 279–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_11.

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Engel, Christoph, Jürgen Zimmermann e Alfons Steinhoff. "Objectives for Order—Sequencing in Automobile Production". In Beyond Manufacturing Resource Planning (MRP II), 307–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_12.

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Atti di convegni sul tema "Manufacturing resource planning"

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Kiritsis, Dimitris, e Paul Xirouchakis. "Manufacturing Resource Modeling With Petri Nets". In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9126.

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Abstract The problem under consideration is the modeling of manufacturing resources like machine tools, setups and tools which affect the cost and batch delivery time estimation of machined parts. The proposed resource models are built upon Petri net models for process planning and scheduling with three methods: (i) an implicit modeling method where resources are modeled as a data structure which acts on a specific Process Planning Petri net (PP-net), (ii) a first explicit modeling method where resources, are modeled as separated Petri nets whose places are connected to PP-net transitions with adequate arcs and form a Process Planning Cost System (PPC-system) and (iii) a second explicit modeling method where a two-level Petri net model is proposed which allows the modular modeling of process plans and resources. In the later case, integration is achieved through an synchronization mechanism. The first two methods are used for the cost estimation of process plans of unique parts while the third one is used for delivery time and cost estimation of a batch of machined parts.
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Surka, Vladimir, Gabriela Krizanova, Miriam Iringova, Pavel Vazan e Jaroslav Znamenak. "Implementation of manufacturing resource planning issues in practice". In 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES). IEEE, 2016. http://dx.doi.org/10.1109/ines.2016.7555110.

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Zheng, Yujun, Kan Wang e Junwei Yang. "A Multi-Agent System for Manufacturing Material Resource Planning". In 2006 6th International Conference on Intelligent Systems Design and Applications. IEEE, 2006. http://dx.doi.org/10.1109/isda.2006.253769.

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Kee, H. Clark, e Roy L. Post. "Manufacturing resource planning on a PC local area network". In the international conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/22415.22010.

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"ACCEPTANCE OF ENTERPRISE RESOURCE PLANNING SYSTEMS BY SMALL MANUFACTURING ENTERPRISES". In 13th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003500302290238.

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Wang, Fayu. "Application of multidimensional association rule techniques in manufacturing resource planning system". In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569197.

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Jiang, Wenchao, e Jingti Han. "The Methods of Improving the Manufacturing Resource Planning (MRP II) in ERP". In 2009 International Conference on Computer Engineering and Technology (ICCET 2009). IEEE, 2009. http://dx.doi.org/10.1109/iccet.2009.18.

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Dumbrava, St, e I. M. Valova. "The Design of an Enterprise Resource Planning Software Application for Manufacturing Control". In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1629997.

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Chen, Kune-Yao, Hong-Yu Lee e Steve Tu. "Study on User's Satisfaction of Enterprise Resource Planning System - An Example of Manufacturing". In 2016 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2016. http://dx.doi.org/10.1109/is3c.2016.255.

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Gernhardt, Benjamin, Tobias Vogel, Mohammad Givehchi, Lihui Wang e Matthias Hemmje. "Knowledge-Based Production Planning Within the Reference Planning Process Supporting Manufacturing Change Management". In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8658.

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Abstract (sommario):
The manufacturing of a product takes place in several partial steps and these mostly in different locations to save tax or to use the best providers. Therefore, in the era of Internet of Things (IoT) and modern Intelligent Production Environments (IPE) are going to be inevitably based on a cloud-based repository and distributed architecture to make data and information accessible everywhere as well as development processes and knowledge available for worldwide cooperation. Semantic approaches for knowledge representation and management as well as knowledge sharing, access, and re-use can support Collaborative Adaptive Production Process Planning (CAPP) in a flexible, efficient, and effective way. Thus, semantic representations of such CAPP knowledge integrated into a machine readable process formalization is a key enabling factor for sharing such knowledge in cloud-based knowledge repositories supporting CAPP scenarios as required for e.g., Small and Medium Enterprises (SMEs). When such contributors work together on a product component production planning, they exchange component production and manufacturing change information between different planning subsystems which require, e.g., a standardized product-feature- and production-machine feature representation. These data exchanges are mostly based on applying the already established Standard for the Exchange of Product model data (STEP) for the computer-interpretable representation and exchange of product manufacturing information. Furthermore, the planning process can be supported by so-called Function Block (FB) based knowledge representation models, serving as a high-level planning-process knowledge-resource template. Web-based and at the same time Cloud-based tool suites, which are based on process-oriented semantic knowledge-representation methodologies, such as Process-oriented Knowledge-based Innovation Management (German: Wissens-basiertes Prozess-orientiertes Innovations Management, WPIM) can satisfy the needs of representing such planning processes and their knowledge resources. In this way, WPIM can be used to support the integration and management of distributed CAPP knowledge, as well as its access and re-use in Manufacturing Change Management (MCM) including Assembly-, Logistics and Layout Planning (ALLP). Therefore, also a collaborative planning and optimization for mass production in a machine readable and integrated representation is possible. On the other hand, that knowledge can be shared within a cloud-based semantic knowledge repository. To integrate all these functionalities, this paper introduces a new method, called Knowledge-based Production Planning (KPP) and outlines the advantages of integrating CAPP with Collaborative Manufacturing Change Management (CMCM). In this way, an enabling basis for achieving ALLP interoperability in Distributed Collaborative Manufacturing and Logistics will be demonstrated.
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