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Journal articles on the topic 'Production planning and control'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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1

Burbidge, John L. "Production planning and control." Computers in Industry 6, no. 6 (1985): 477–87. http://dx.doi.org/10.1016/0166-3615(85)90028-4.

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2

Mitropoulos, Costas, Dennis W. McLeavey, and Seetharama L. Narasimhan. "Production Planning and Inventory Control." Journal of the Operational Research Society 36, no. 6 (1985): 545. http://dx.doi.org/10.2307/2582831.

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3

Olhager, Jan, and Joakim Wikner. "Production planning and control tools." Production Planning & Control 11, no. 3 (2000): 210–22. http://dx.doi.org/10.1080/095372800232180.

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4

Mitropoulos, Costas. "Production Planning and Inventory Control." Journal of the Operational Research Society 36, no. 6 (1985): 545. http://dx.doi.org/10.1057/jors.1985.94.

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5

Paul, Brian K. "Production planning and inventory control." Journal of Manufacturing Systems 15, no. 4 (1996): 294. http://dx.doi.org/10.1016/0278-6125(96)84554-7.

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6

Reader, J. R. "Planning a production control system." Production Engineer 65, no. 9 (1986): 31. http://dx.doi.org/10.1049/tpe.1986.0214.

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7

Fortvin, Leonard. "Production planning and inventory control." European Journal of Operational Research 26, no. 2 (1986): 314–15. http://dx.doi.org/10.1016/0377-2217(86)90198-0.

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8

Kumbara, Afthon, and Agustinus Hariadi DP. "EXPANDED THE PRODUCTION EFFECTIVENESS THROUGH PRODUCTION PLANNING, RAW MATERIAL CONTROL, SCHEDULE CONTROL AND PRODUCTION CONTROL AT PT. LPA." Dinasti International Journal of Education Management And Social Science 2, no. 5 (2021): 898–914. http://dx.doi.org/10.31933/dijemss.v2i5.945.

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PT. LPA is one of textile manufacturing company who is still doing the production process by woven fabrics (Weaving) and finishing fabrics (Printing, Dyeing and White). The problems that are often faced by PT. LPA is the completion time of production which is still not according to the targets that have been planned, then the production effectiveness would not be achieved so with the suitability of orders or quality which has not been met with expectation. This research aims to find out the impact of production planning on raw material control, schedule control and production control as well a

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9

Shen, Randolph F. C. "Aggregate production planning by stochastic control." European Journal of Operational Research 73, no. 2 (1994): 346–59. http://dx.doi.org/10.1016/0377-2217(94)90270-4.

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10

Rusindiyanto, Rr. Rochmoeljati, Yekti Condro Winursito, Isna Nugraha, and Hafid Syaifullah. "Production Planning and Control of Flooring Using Aggregate Planning Method." Technium: Romanian Journal of Applied Sciences and Technology 16 (October 29, 2023): 397–404. http://dx.doi.org/10.47577/technium.v16i.10018.

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PT. X a is a private company engaged in the wood processing industry. To avoid production excesses or shortages in the company, production planning using the Aggregate Planning Method can be utilized to meet all consumer demands. The variables used include demand data, production costs, setup costs, and manufacturing time. Through this research, the company can fulfill consumer demands and minimize production costs by implementing aggregate planning. Additionally, the company can forecast future demand, enabling them to anticipate fluctuations in consumer demand. By using aggregate production

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11

Guerra, Rodrigo, Milton Silva, and Vilmar Tondolo. "Material Requirements Planning: tool to improve production planning and control." Revista Gestão da Produção, Operações e Sistemas 9, no. 3 (2014): 43–60. http://dx.doi.org/10.15675/gepros.v9i3.1075.

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12

Lima, Rui M. "Integrating Production Planning and Control Business Processes." International Journal of Productivity Management and Assessment Technologies 1, no. 4 (2012): 1–21. http://dx.doi.org/10.4018/ijpmat.2012100101.

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Organizations have production planning and control (PPC) processes supported by systems that execute, mainly, repetitive calculations. Based on these calculation results, decisions are taken by production managers. These decision processes make the connection between different levels of aggregation of information and could benefit from the increment of the level of automation. An increased level of application of business process modelling languages is proposed in order to contribute to increment the level of process automation and the detail of business analysis. Thus being, concepts of integ

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13

Lewis, Colin, G. Fandel, Th Gulledge, and A. Jones. "Operations Research in Production Planning and Control." Journal of the Operational Research Society 45, no. 4 (1994): 484. http://dx.doi.org/10.2307/2584224.

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14

Gordic, Borislav. "Model of Adaptable Production Planning and Control." Science Journal of Business and Management 2, no. 5 (2014): 153. http://dx.doi.org/10.11648/j.sjbm.20140205.16.

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15

Popescu, Liviu. "Applications of Optimal Control to Production Planning." Information Technology And Control 49, no. 1 (2020): 89–99. http://dx.doi.org/10.5755/j01.itc.49.1.23891.

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In this paper we solve a problem of optimization and production planning using the optimal control methods and Pontryagin Maximum Principle. We propose an economic model and find an optimal plan of production for n products, to ensure the required quantity at specified delivery data with minimum cost of inventory and production. We prove that the economic system is not controllable, in the sense that we cannot reach any final stock quantity. Finally, we justify this construction with a numerical example.

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16

Bonney, Maurice. "Reflections on production planning and control (PPC)." Gestão & Produção 7, no. 3 (2000): 181–207. http://dx.doi.org/10.1590/s0104-530x2000000300002.

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The paper examines the current state of Production Planning and Control (PPC), identifies some technical and systems changes that have occurred over recent years and links these with the requirements being placed on companies by the market. PPC is being asked to respond effectively to these internal and external changes by being more dynamic and providing better control of resources and delivery performance. Some of the requirements to be satisfied by the new PPC systems are identified. To meet these requirements it is suggested that better understanding is required of how different factors af

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17

Garetti, Marco, and Marco Taisch. "Neural networks in production planning and control." Production Planning & Control 10, no. 4 (1999): 324–39. http://dx.doi.org/10.1080/095372899233082.

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18

Skolud, B., D. Krenczyk, and M. Zemczak. "Multi-assortment rhythmic production planning and control." IOP Conference Series: Materials Science and Engineering 95 (November 3, 2015): 012133. http://dx.doi.org/10.1088/1757-899x/95/1/012133.

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19

Mcfarlane, Duncan C., and Stefan Bussmann. "Developments in holonic production planning and control." Production Planning & Control 11, no. 6 (2000): 522–36. http://dx.doi.org/10.1080/095372800414089.

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20

Wallace, Stein W., and Tsan-Ming Choi. "Challenges in apparel production planning and control." Production Planning & Control 22, no. 3 (2011): 209. http://dx.doi.org/10.1080/09537287.2010.498572.

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21

Lewis, Colin. "Operations Research in Production Planning and Control." Journal of the Operational Research Society 45, no. 4 (1994): 484. http://dx.doi.org/10.1057/jors.1994.71.

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22

Krishna Kumar, C., and Bani K. Sinha. "Efficiency based production planning and control models." European Journal of Operational Research 117, no. 3 (1999): 450–69. http://dx.doi.org/10.1016/s0377-2217(98)00235-5.

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23

Wolfsgruber, Christoph, and Gerald Lichtenegger. "Optimal Configuration in Production Planning and Control." BHM Berg- und Hüttenmännische Monatshefte 161, no. 5 (2016): 221–24. http://dx.doi.org/10.1007/s00501-016-0474-6.

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24

Cheaitou, Ali, Christian van Delft, Yves Dallery, and Zied Jemai. "Two-period production planning and inventory control." International Journal of Production Economics 118, no. 1 (2009): 118–30. http://dx.doi.org/10.1016/j.ijpe.2008.08.031.

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25

Ward, T. L., P. A. S. Ralston, and J. A. Davis. "Fuzzy logic control of aggregate production planning." Computers & Industrial Engineering 23, no. 1-4 (1992): 137–40. http://dx.doi.org/10.1016/0360-8352(92)90082-u.

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26

Zipkin, P. "Multi-stage production planning and inventory control." European Journal of Operational Research 29, no. 3 (1987): 386–87. http://dx.doi.org/10.1016/0377-2217(87)90253-0.

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27

Zäpfel, Günther, and Hubert Missbauer. "New concepts for production planning and control." European Journal of Operational Research 67, no. 3 (1993): 297–320. http://dx.doi.org/10.1016/0377-2217(93)90287-w.

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28

Meybodi, Mohammad Z. "Integrating production activity control into a hierarchical production‐planning model." International Journal of Operations & Production Management 15, no. 5 (1995): 4–25. http://dx.doi.org/10.1108/01443579510083631.

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29

Afraimovich, L. G., and M. Kh Prilutskii. "Multiindex optimal production planning problems." Automation and Remote Control 71, no. 10 (2010): 2145–51. http://dx.doi.org/10.1134/s0005117910100139.

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30

Kasakow, Georg, and Jan Christian Aurich. "Reactive Production Control - Information to Control a Production." Applied Mechanics and Materials 869 (August 2017): 151–58. http://dx.doi.org/10.4028/www.scientific.net/amm.869.151.

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Sustainable protection and expansion of the competitiveness of the industrial location Germany is an important topic of current research. How can manufacturing companies in high wage countries counter the challenges of market turbulences? Crucial for the competitiveness of these companies is the compensation of wage and salary costs through highly efficient processes. A promising approach is to increase the responsiveness of a company. Responsiveness means, to react as quickly as possible to events or changes of the market, which are not yet evident and can not be foreseen at the time of produ

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31

Ohashi, M. "Ergodic control problems for optimal stochastic production planning with production constraints." Mathematical and Computer Modelling 31, no. 10-12 (2000): 273–81. http://dx.doi.org/10.1016/s0895-7177(00)00096-0.

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32

Reuter, Christina, Felix Brambring, Thomas Hempel, and Phil Kopp. "Benefit Oriented Production Data Acquisition for the Production Planning and Control." Procedia CIRP 61 (2017): 487–92. http://dx.doi.org/10.1016/j.procir.2016.11.142.

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33

Denkena, Berend, Marc-André Dittrich, and Sören Wilmsmeier. "Automated production data feedback for adaptive work planning and production control." Procedia Manufacturing 28 (2019): 18–23. http://dx.doi.org/10.1016/j.promfg.2018.12.004.

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34

Saad, Sameh M., Ramin Bahadori, Hamidreza Jafarnejad, and Muhamad F. Putra. "Smart Production Planning and Control: Technology Readiness Assessment." Procedia Computer Science 180 (2021): 618–27. http://dx.doi.org/10.1016/j.procs.2021.01.284.

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35

Krenczyk, Damian, and Bożena Skołud. "Transient States of Cyclic Production Planning and Control." Applied Mechanics and Materials 657 (October 2014): 961–65. http://dx.doi.org/10.4028/www.scientific.net/amm.657.961.

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The method for determining dispatching rules for transient phases, based on designation of a local dispatching rule for steady state, which determines the rest of its components has been presented in the paper. The algorithm for determining the transient rules has been presented and dependencies resulting from the presented sufficient conditions have been formulated. For the proposed transitional-rules generation algorithm the simulation model has been prepared. Simulation experiments to verify the correctness and effectiveness of the presented method have been conducted. The experiments have

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36

Сафронова, Е. М., and Л. В. Черненькая. "MODEL OF ACCOUNTING CONTROL POINTS WHEN PLANNING PRODUCTION." Organizer of Production, no. 1 (March 11, 2022): 52–59. http://dx.doi.org/10.36622/vstu.2022.54.75.005.

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Введение. Данная статья посвящена решению задачи учета контрольных точек, указывающих на контроль военным представительством, при планировании производства. Производственное предприятие столкнулось с задачей автоматизации своего производственного процесса, для внедрения была выбрана система 1С:MES Оперативное управление производством. При доработке системы под нужды заказчика была выделена задача учета контрольных точек, которая осложнялась спецификой производства. Предприятие выпускает продукцию большого размера и веса, поэтому заготовки, участвующие в производственном процессе, не являются л

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37

Porter, J. K., P. Jarvis, D. Little, J. Laakmann, C. Hannen, and M. Schotten. "Production planning and control system developments in Germany." International Journal of Operations & Production Management 16, no. 1 (1996): 27–39. http://dx.doi.org/10.1108/01443579610106346.

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38

WANG, DINGWEI, XIAN-ZHANG CHEN, and YING LI. "Experimental push/pull production planning and control system." Production Planning & Control 7, no. 3 (1996): 236–41. http://dx.doi.org/10.1080/09537289608930349.

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39

Garetti, Marco, and Marco Taisch. "Advanced computing techniques in Production Planning and Control." Production Planning & Control 10, no. 4 (1999): 301–4. http://dx.doi.org/10.1080/095372899233055.

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40

Lima, R. M., R. M. Sousa, and P. J. Martins. "Distributed production planning and control agent-based system." International Journal of Production Research 44, no. 18-19 (2006): 3693–709. http://dx.doi.org/10.1080/00207540600788992.

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41

Gupta, J. N. D., R. Ruiz, J. W. Fowler, and S. J. Mason. "Operational planning and control of semiconductor wafer production." Production Planning & Control 17, no. 7 (2006): 639–47. http://dx.doi.org/10.1080/09537280600900733.

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42

Kubat, Cemalettin, Ercan Öztemel, and Harun Taşkιn. "Decision support systems in production planning and control." Production Planning & Control 18, no. 1 (2007): 1–2. http://dx.doi.org/10.1080/09537280600940572.

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43

Guinery, Jane, and Bart MacCarthy. "Managing key interfaces in production planning and control." Production Planning & Control 20, no. 1 (2009): 40–56. http://dx.doi.org/10.1080/09537280802658535.

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44

Maguire, Stuart. "Special Issue – Production Planning & Control: Service Science." Production Planning & Control 23, no. 7 (2012): 477–79. http://dx.doi.org/10.1080/09537287.2011.640029.

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45

GUNASEKARAN, A., S. K. GOYAL, I. VIRTANEN, and P. YLI-OLLI. "Production planning and control in automated manufacturing systems." Production Planning & Control 4, no. 1 (1993): 2–16. http://dx.doi.org/10.1080/09537289308919414.

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46

Bettayeb, B., S. J. Bassetto, and M. Sahnoun. "Quality control planning to prevent excessive scrap production." Journal of Manufacturing Systems 33, no. 3 (2014): 400–411. http://dx.doi.org/10.1016/j.jmsy.2014.01.001.

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47

Akagi, H., N. Sannomiya, Y. Nishikawa, T. Yashima, and T. Tsuda. "Production Planning and Control of an Oxygen Plant." IFAC Proceedings Volumes 20, no. 8 (1987): 467–72. http://dx.doi.org/10.1016/s1474-6670(17)59137-5.

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48

McKay, Kenneth N., and Vincent C. S. Wiers. "Planning, scheduling and dispatching tasks in production control." Cognition, Technology & Work 5, no. 2 (2003): 82–93. http://dx.doi.org/10.1007/s10111-002-0117-4.

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49

Sengupta, Sankar, Robert P. Davis, and William G. Ferrell. "Production planning and control in a JIT environment." Applied Mathematical Modelling 17, no. 1 (1993): 41–46. http://dx.doi.org/10.1016/0307-904x(93)90126-2.

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50

Jiang, Mingwei. "Features of production planning and control in China." Computers in Industry 8, no. 2-3 (1987): 157–60. http://dx.doi.org/10.1016/0166-3615(87)90122-9.

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