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Journal articles on the topic 'Manufacturing processes. Production planning. Production scheduling'

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Published: 4 June 2021

Last updated: 5 February 2022

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1

Sugimura, Nobuhiro, Koji Iwamura, and Tomohiko Maeda. "Special Issue on Production Planning and Scheduling." International Journal of Automation Technology 9, no. 3 (2015): 209. http://dx.doi.org/10.20965/ijat.2015.p0209.

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This issue focuses on production planning and scheduling for production system and the related problems that have arisen in these areas in the last half century as digital computer systems developed. These problems relate to production management, production planning, shop floor control, product design and process planning. In the first stage of production planning and scheduling systems R&D, optimization is a key issue that has been widely discussed and many theories and optimization algorithms proposed. Rule-based methods are discussed as potential solutions to these problems. With rapid

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HE, YAN, FEI LIU, and JINLIANG SHI. "A FRAMEWORK OF SCHEDULING MODELS IN MACHINING WORKSHOP FOR GREEN MANUFACTURING." Journal of Advanced Manufacturing Systems 07, no. 02 (2008): 319–22. http://dx.doi.org/10.1142/s0219686708001413.

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Reducing environmental impacts and resource consumption in manufacturing processes is one of the important issues in green manufacturing. However, this attention has focused primarily on the activities of the design and the process planning, and the production scheduling activity has been overlooked especially for discrete manufacturing systems such as machining workshop. This paper presents a framework of the scheduling models in machining workshop that integrated resource and environmental considerations into production scheduling activities. The scheduling framework builds upon the schemati

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Kolus, Ahmet, Ahmed El-Khalifa, Umar M. Al-Turki, and Salih Osman Duffuaa. "An integrated mathematical model for production scheduling and preventive maintenance planning." International Journal of Quality & Reliability Management 37, no. 6/7 (2020): 925–37. http://dx.doi.org/10.1108/ijqrm-10-2019-0335.

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PurposeThe integration between production scheduling and maintenance planning is attracting the attention of planners in the manufacturing sector with the increase in global competitiveness. Researchers have developed various methodologies to optimize integrated decisions in planning and scheduling, including mathematical modeling under different conditions. This paper considers the simultaneous scheduling of production and maintenance activities with the objective of minimizing the expected total tardiness cost on a single machine (production line).Design/methodology/approachScheduling in the

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Younus, Muhammad, Yong Yu, Hu Lu, and Yu Qing Fan. "Study and Execution of Advanced Batch Production Planning System for an Aerospace Industry." Applied Mechanics and Materials 16-19 (October 2009): 748–52. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.748.

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Modern manufacturing industries are increasingly faced with international competition and fluctuating market conditions in the age of globalization. In striving to remain competitive, manufacturing industries must deliver products to customer at the lowest cost, at the best quality and in the minimum lead time. As a result, it becomes mandatory to design and implement the advance production planning and scheduling system that supports shorter product cycles despite more complex and specialized manufacturing processes. The advance production planning and scheduling system provides the leaner pr

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Tanizaki, Takashi, Hideki Katagiri, and António Oliveira Nzinga René. "Scheduling Algorithms Using Metaheuristics for Production Processes with Crane Interference." International Journal of Automation Technology 12, no. 3 (2018): 297–307. http://dx.doi.org/10.20965/ijat.2018.p0297.

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This paper proposes scheduling algorithms using metaheuristics for production processes in which cranes can interfere with each other. There are many production processes that involve cranes in manufacturing industry, such as in the steel industry, so a general purpose algorithm for this problem can be of practical use. The scheduling problem for this process is very complicated and difficult to solve because the cranes must avoid interfering with each other plus each machine has its own operational constraints. Although several algorithms have been proposed for a specific problem or small-sca

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Kalinowski, Krzysztof, Cezary Grabowik, Grzegorz Ćwikła, and Witold Janik. "The Graph of Operations Planning Sequence of a Production Order for Scheduling with Mixed Planning Strategies and Alternatives." Applied Mechanics and Materials 809-810 (November 2015): 1420–25. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1420.

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The paper presents the most important issues related to the scheduling of production orders in real manufacturing systems. In the elaborated method an and/or type graph of operations planning sequence of a production order is proposed for modelling the production system load. In a single structure the graph takes into account alternative routes of a production order realisation and the precedence constraints in presence of complex, hierarchical structures of processes. Two modelling ways of that process using the "operation on the edge" or "operation on the node" notation are also presented. I

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Bin, Zeng, and Jing Zhang. "Design of a Resource Scheduling Tool for Production Project Management." Applied Mechanics and Materials 220-223 (November 2012): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.165.

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Production planning is clearly needed in all manufacturing systems, and that is also the case for job shops. When dealing with a small number of products or jobs repetitive scheduling becomes a major issue. In this situation, the same tasks are performed sequentially and repeated from job to job. To help with this problem, a resource scheduling tool is developed that would work alongside Microsoft Project. This tool should act as a front end to Microsoft Project and allow for the creation of a schedule with a minimal amount of work for the scheduling manager. Due to the repetitive nature of pr

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Alvandi, Samira, Wen Li, and Sami Kara. "An Integrated Simulation Optimisation Decision Support Tool for Multi-Product Production Systems." Modern Applied Science 11, no. 6 (2017): 56. http://dx.doi.org/10.5539/mas.v11n6p56.

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Over the past decades, the rising energy prices and imposing environmental regulations have motivated manufacturers to improve the energy efficiency of their manufacturing processes. Manufacturers need to also consider energy efficiency in addition to classical performance measures. The additional performance dimension (energy-related indicators) significantly increases the complexity of classical production planning problems (e.g. scheduling), already known as NP-hard problem).To overcome the inherited complexity, an integrated simulation-optimization framework is proposed. The proposed appro

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Yang, Zhixin, Wei Xu, Pak-Kin Wong, and Xianbo Wang. "Modeling of RFID-Enabled Real-Time Manufacturing Execution System in Mixed-Model Assembly Lines." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/575402.

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To quickly respond to the diverse product demands, mixed-model assembly lines are well adopted in discrete manufacturing industries. Besides the complexity in material distribution, mixed-model assembly involves a variety of components, different process plans and fast production changes, which greatly increase the difficulty for agile production management. Aiming at breaking through the bottlenecks in existing production management, a novel RFID-enabled manufacturing execution system (MES), which is featured with real-time and wireless information interaction capability, is proposed to ident

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Ba, Li, Yan Li, Mingshun Yang, et al. "A Mathematical Model for Multiworkshop IPPS Problem in Batch Production." Mathematical Problems in Engineering 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/7948693.

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Integrated Process Planning and Scheduling (IPPS) problem is an important issue in production scheduling. Actually, there exit many factors affecting scheduling results. Many types of workpieces are commonly manufactured in batch production. Moreover, due to differences among process methods, all processes of a workpiece may not be performed in the same workshop or even in the same factory. For making IPPS problem more in line with practical manufacturing, this paper addresses an IPPS problem with batches and limited vehicles (BV-IPPS). An equal batch splitting strategy is adopted. A model for

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Stambolov, Grigor, and Petya Petkova. "Conception of Scheduling and Planning in Reconfigurable Work Stations on the Base of IEC 61499 Function Blocks." Applied Mechanics and Materials 621 (August 2014): 167–80. http://dx.doi.org/10.4028/www.scientific.net/amm.621.167.

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One of the latest solutions in automated production systems is developing of Reconfigurable Manufacturing Systems (RMSs), which have an open structure that allows the integration of new technologies and modifying manufacturing for a new type of production based on adding, removing or updating the elements and units in the hardware and software level. To realize the automated processing RMS needs to have decentralized architecture, including hardware (module based) and software reconfiguration, which to enable distributed control, monitoring and diagnostics in real time and dynamic planning pro

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Kareem, B., and HA Owolabi. "Optimizing Maintenance Planning in the Production Industry Using the Markovian Approach." Journal of Engineering Research [TJER] 9, no. 2 (2012): 46. http://dx.doi.org/10.24200/tjer.vol9iss2pp46-63.

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Maintenance is an essential activity in every manufacturing establishment, as manufacturing effectiveness counts on the functionality of production equipment and machinery in terms of their productivity and operational life. Maintenance cost minimization can be achieved by adopting an appropriate maintenance planning policy. This paper applies the Markovian approach to maintenance planning decision, thereby generating optimal maintenance policy from the identified alternatives over a specified period of time. Markov chains, transition matrices, decision processes, and dynamic programming model

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Kalinowski, Krzysztof, and Iwona Paprocka. "Scheduling Schemes Based on Searching the Aggregated Graph of Operations Planning Sequence." Applied Mechanics and Materials 809-810 (November 2015): 1462–67. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1462.

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The searching state space in scheduling of real manufacturing systems with discrete and multi-assortment production is discussed in this paper. The production load is represented by a directed and/or graph called “the aggregated graph of operations planning of the set of orders”. It determines the order of operations, according to which they will be inserted into a schedule. This order must always comply with all assumed precedence and resource constraints and also with given scheduling strategy of a production order. In the elaborated representation the complex products structures and alterna

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Kang, Hyoung Seok, Sang Do Noh, Ji Yeon Son, Hyun Kim, Jun Hee Park, and Ju Yeon Lee. "The FaaS system using additive manufacturing for personalized production." Rapid Prototyping Journal 24, no. 9 (2018): 1486–99. http://dx.doi.org/10.1108/rpj-11-2016-0195.

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PurposeIn this paper, a three-dimensional (3D) printer-based manufacturing line and supporting system, which supports personalized/customized manufacturing for individual businesses or start-up companies, was studied to evaluate the practicality of using additive manufacturing for personalization/mass customization.Design/methodology/approachFirst, factory-as-a-service (FaaS) system, which provides factory as a service to customers, was proposed and designed to manufacture various products within a distributed manufacturing environment. This system includes 3D printer-based material extrusion

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Zhang, Hua, Gang Zhao, Zhi Gang Jiang, Yan Hong Wang, and Ming Xiao. "Integrated Technology Based on Resource and Environment Attributes for Workshop Planning and Production Operation." Advanced Materials Research 255-260 (May 2011): 2914–18. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2914.

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In this paper, the integrated technology based on resource and environment attributes is presented for the workshop planning and production operation. Applying this integrated technology, a demonstration workshop of thermoelectrical valve manufacturer has been constructed to meet the demands of enterprise development. On a principle of green planning, the workshop structure and partition function, the devices layout and the scheduling mode aiming at the minimum energy consumption and noise yield are rebuilt on the base of the present manufacturing process and devices in a representative manufa

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Fidlerová, Helena, Jan Prachař, and Peter Sakál. "Application of Material Requirements Planning as Method for Enhancement of Production Logistics in Industrial Company." Applied Mechanics and Materials 474 (January 2014): 49–54. http://dx.doi.org/10.4028/www.scientific.net/amm.474.49.

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Material requirements planning (MRP) is a production planning and inventory management system used to manage logistics processes and designed to assist production managers in scheduling and placing orders for items of dependent demand. If it is implemented and used properly, it can be helpful for production managers to plan capacity needs and allocate production time. The article provides characteristics of the mentioned method; it describes the possible areas of application in manufacturing, purchasing and delivering activities. The paper considers the analysis of the production logistics in

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Costantino, Francesco, Giulio Di Gravio, and Massimo Tronci. "Integrating Environmental Assessment of Failure Modes in Maintenance Planning of Production Systems." Applied Mechanics and Materials 295-298 (February 2013): 651–60. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.651.

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Apart from preventing and controlling economical, technical and safety impacts of failures, so to reduce at best production losses, maintenance target is to systematically check and improve the allocation and usage of resources in order to assure quality of products and processes. At the same time, consumption of resources and their relative environmental impacts are becoming a central issue in the new international regulations and standards for sustainable manufacturing. On these considerations, the paper proposes an innovative methodology that, starting from the principles of FMECA (Failure

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Shim, Sang-Oh, KyungBae Park, and SungYong Choi. "Sustainable Production Scheduling in Open Innovation Perspective under the Fourth Industrial Revolution." Journal of Open Innovation: Technology, Market, and Complexity 4, no. 4 (2018): 42. http://dx.doi.org/10.3390/joitmc4040042.

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This research addresses a specific issue in the field of operation scheduling. Even though there are lots of researches on the field of planning and scheduling, a specific scheduling problem is introduced here. We focus on the operation scheduling requirements that the Fourth Industrial Revolution has brought currently. From the point of view of open innovation, operation scheduling is known as the one that is using the Internet of Things, Cloud Computing, Big Data, and Mobile technology. To build proper operation systems under the Fourth Industrial Revolution, it is very essential to devise e

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Tu, Ying-Mei. "Short-Term Scheduling Model of Cluster Tool in Wafer Fabrication." Mathematics 9, no. 9 (2021): 1029. http://dx.doi.org/10.3390/math9091029.

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Since last decade, the cluster tool has been mainstream in modern semiconductor manufacturing factories. In general, the cluster tool occupies 60% to 70% of production machines for advanced technology factories. The most characteristic feature of this kind of equipment is to integrate the relevant processes into one single machine to reduce wafer transportation time and prevent wafer contaminations as well. Nevertheless, cluster tools also increase the difficulty of production planning significantly, particularly for shop floor control due to complicated machine configurations. The main object

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Matondang, Abdul Rahim, and Widodo Widodo. "PERENCANAAN DAN PENGENDALIAN KAPASITAS PRODUKSI PRODUK RAKITAN RADIO TIPE SOUNESS SNI 4250." Jurnal Sistem Teknik Industri 20, no. 1 (2018): 40–47. http://dx.doi.org/10.32734/jsti.v20i1.383.

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Production system take an important role in industries, especially in manufacturing industries. This role determine the keys of successful company. Production process is an activity which produce finished product from raw material that involve machine, energy, and technique knowledge. Production process is real activity and can be seen by human being. The problems those always be faced in indutries management’s are the arrangement of production schedule, such lack of inventory or overstock once the settlement of production process isn’t on time. Production planning and control is activity to d

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Yamada, Tuane Tonani, Marcelo Seido Nagano, and Hugo Hissashi Miyata. "Minimization of total tardiness in no-wait flowshop production systems with preventive maintenance." International Journal of Industrial Engineering Computations 12, no. 4 (2021): 415–26. http://dx.doi.org/10.5267/j.ijiec.2021.5.002.

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Efficient business organizations must balance quality, cost, and time constraints in competitive environments. Reflecting the complexity of this task, we consider manufacturing systems including several stages of production chains requiring time measurement. When production scheduling is not prioritized in such enterprises, several negative effects may occur. A corporation may suffer financial penalties as well as negative brand exposure, and thus may find its credibility challenged. Therefore, in this study, we propose constructive methods to minimize a total tardiness criterion, considering

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Jin, Liangliang, Chaoyong Zhang, Xinyu Shao, and Xudong Yang. "A study on the impact of periodic and event-driven rescheduling on a manufacturing system: An integrated process planning and scheduling case." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 3 (2016): 490–504. http://dx.doi.org/10.1177/0954405416629585.

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The integration of process planning and scheduling is a very important problem because it proposes a new idea for improving the performance of a manufacturing system. At present, most existing studies on this problem are static, which assumes that all the jobs to be processed are available in the beginning. However, the practical processing situation is dynamic, such as new job arrivals. Since dynamic production situations are different with static cases, it is important to study the characteristics of actual production situations. In this article, the characteristics of dynamic integrated pro

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Sharma, R., and Kim Tae-wan. "Development of a Logic-Based Product Life-Cycle Management (LBPLM) System for Shipbuilding Industry—Conceptual Development." Journal of Ship Production and Design 26, no. 04 (2010): 231–51. http://dx.doi.org/10.5957/jspd.2010.26.4.231.

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Product life-cycle management (PLM) has become something like "a magic wand" for various industries because of its capability to integrate different product modules via online network through the product's complete life cycle and hence to provide one-window access, thereby making the whole processes of product conception, design, manufacturing, delivery, maintenance, and disposal integrated with a reduction in product development time and cost. However, heavy industries (i.e., shipbuilding and shipbreaking) are different from consumer product industries because of high customization in design

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Shi, Xiao Qiang, Li Jiang Huang, and Hui Wang. "A Multi-Agent System for Remanufacturing of End-of-Life Products." Advanced Materials Research 655-657 (January 2013): 2025–32. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.2025.

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Efficient remanufacturing of end-of-life (EOL) products is crucial for environment friendly production. Disassembly is part of the remanufacturing and it is meant to obtain components and materials from end-of-life products. An essential performance objective of a disassembly process is the benefits it brings, that is the revenue brought by the retrieved parts and material, diminished by the cost of their retrieval operations. A decision must be taken to balance the disassembly production system. In this paper, a multi-agent system (MAS) is presented to optimize the remanufacturing process of

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Коновалова, Галина, and Galina Konovalova. "SYSTEM APPROACH BASED INVESTIGATION OF PRODUCTION AND ENGINEERING COMPANY MANAGEMENT." Bulletin of Bryansk state technical university 2016, no. 4 (2016): 295–303. http://dx.doi.org/10.12737/23267.

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Today at engineering companies there is the fol-lowing problem: the inconsistency in management decision-making causing high production costs, a longer duration of a production cycle and a nonobservance of timing of orders. To solve this problem the author of this paper has analyzed with system positions produc-tion and management at an engineering company. A system model is offered, there is described an enlarged structure, hierarchy and kinds of ends, a functional model of engineering company management is formed. In the functional model there are presented functions of a company, production

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Yin, Peng-Yeng, Hsin-Min Chen, Yi-Lung Cheng, Ying-Chieh Wei, Ya-Lin Huang, and Rong-Fuh Day. "Minimizing the Makespan in Flowshop Scheduling for Sustainable Rubber Circular Manufacturing." Sustainability 13, no. 5 (2021): 2576. http://dx.doi.org/10.3390/su13052576.

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It is estimated that 1 billion waste tires are generated every year across the globe, yet only 10% are being processed, and much rubber waste is yielded during manufacturing. These waste tires and rubber scraps are poisonous to the environment when processed via incineration and landfill. Rubber circular manufacturing is an effective solution that reduces not only rubber waste but also raw material costs. In this paper we propose a two-line flowshop model for the circular rubber manufacturing problem (CRMP), where the job sequence of two production lines is appropriately aligned to obtain the

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Göppert, Amon, Leon Mohring, and Robert H. Schmitt. "Predicting performance indicators with ANNs for AI-based online scheduling in dynamically interconnected assembly systems." Production Engineering 15, no. 5 (2021): 619–33. http://dx.doi.org/10.1007/s11740-021-01057-z.

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AbstractMass customization demands shorter manufacturing system response times due to frequent product changes. This increase in system dynamics imposes additional flexibility requirements especially on assembly processes, as complexity accumulates in this last step of value creation. Flexible and dynamically interconnected assembly systems can meet the increased requirements as opposed to traditional dedicated assembly line approaches. The high complexity and dynamical environment in these kinds of systems lead to the demand for real-time online control and scheduling solutions. Within the de

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Shi, W., D. B. Tang, and P. Zou. "Multi-objective automated guided vehicle scheduling based on MapReduce framework." Advances in Production Engineering & Management 16, no. 1 (2021): 37–46. http://dx.doi.org/10.14743/apem2021.1.383.

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During material handling processes, automated guided vehicles (AGVs) pose a path conflict problem. To solve this problem, we proposed a multi-objective scheduling model based on total driving distance and waiting time, and used the A* path planning algorithm to search the shortest path of AGV. By using a speed control strategy, we were able to detect the overlap path and the conflict time. Additionally, we adopted an efficient MapReduce framework to improve the speed control strategy execution efficiency. At last, a material handling system of smart electrical connectors workshop was discussed

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Coppini, Nivaldo Lemos, Aparecida de Fátima Castello Rosa, Alexandre Augusto Martins Carvalho, and Edson Melo de Souza. "Simulated Annealing Applied to Optimize the Efficiency of Flexible Manufacturing Cells." Applied Mechanics and Materials 778 (July 2015): 245–58. http://dx.doi.org/10.4028/www.scientific.net/amm.778.245.

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This work proposes a new methodology to optimize flexible manufacturing cells applying Simulated Annealing and Contribution Margin concepts. This methodology helps to determine the number of extra products that could be sold and manufactured while taking advantage of this idleness. The price formation to sell the extra products was based on contribution margin concepts. The main concept is to use cell idleness to increase profits while the costs are already paid. Equipment and workers have their fixed costs paid regardless of whether they are active or not. When they are not active, all of the

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Larshin, Vasily Petrovich, Natalia V. Lishchenko, Olha B. Babiychuk, and Jan Pitel. "VIRTUAL REALITY AND REAL MEASUREMENTS IN PHYSICAL TECHNOLOGY." Applied Aspects of Information Technology 4, no. 1 (2021): 24–36. http://dx.doi.org/10.15276/aait.01.2021.2.

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Information is transmitted by signals that have a material-and-energy nature, but it is not matter and not energy. The in-formation ensures communication of interacting objects of alive and inanimate nature. Information and communications technology underlie the new production paradigm called the “Industry 4.0”. In accordance with this paradigm, increased attention is paid to the pre-production phase on which relevant comprehensive solutions for the automation of design and production are taken, ranging from receiving an order for the product and ending with its shipment to the consumer. At th

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Belkaid, Fayçal, Farouk Yalaoui, and Zaki Sari. "An Efficient Approach for the Reentrant Parallel Machines Scheduling Problem under Consumable Resources Constraints." International Journal of Information Systems and Supply Chain Management 9, no. 3 (2016): 1–25. http://dx.doi.org/10.4018/ijisscm.2016070101.

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In present manufacturing environment, the reentrant scheduling problem is one of the most important issues in the planning and operation of production systems. It has a large scope such as capacity distribution and inventory control. On the other hand, the markets are very competitive; it is a critical requirement of operational management to have effective management of resources (consumable and renewable) so as to achieve optimal production plan. This study considers a reentrant parallel machines scheduling problem with consumable resources. Each job consumes several components and must be p

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Fattahi, Parviz, Naeeme Bagheri Rad, Fatemeh Daneshamooz, and Samad Ahmadi. "A new hybrid particle swarm optimization and parallel variable neighborhood search algorithm for flexible job shop scheduling with assembly process." Assembly Automation 40, no. 3 (2020): 419–32. http://dx.doi.org/10.1108/aa-11-2018-0178.

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Purpose The purpose of this paper is to present a mathematical model and a new hybrid algorithm for flexible job shop scheduling problem with assembly operations. In this problem, each product is produced by assembling a set of several different parts. At first, the parts are processed in a flexible job shop system, and then at the second stage, the parts are assembled and products are produced. Design/methodology/approach As the problem is non-deterministic polynomial-time-hard, a new hybrid particle swarm optimization and parallel variable neighborhood search (HPSOPVNS) algorithm is proposed

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Maropoulos, P. G. "Cutting Tool Selection: An Intelligent Methodology and its Interfaces with Technical and Planning Functions." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 206, no. 1 (1992): 49–60. http://dx.doi.org/10.1243/pime_proc_1992_206_055_02.

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This paper presents a new cutting tool selection methodology, namely the intelligent tool selection (ITS), which covers the whole spectrum of tool specification and usage in machining environments. The selection process has five distinct levels and starts by deriving a local optimum solution at the process planning level, which is progressively optimized in the wider context of the shop-floor. Initially, multiple tools are selected for each machining operation and tool lists are formed by sorting selected tools in order of preference. The second selection level provides a tooling solution for

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Sharma, Vikram, Amit Rai Dixit, and Mohammad Asim Qadri. "Empirical assessment of the causal relationships among lean criteria using DEMATEL method." Benchmarking: An International Journal 23, no. 7 (2016): 1834–59. http://dx.doi.org/10.1108/bij-08-2014-0078.

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Purpose It is difficult for anyone to implement all the lean tools simultaneously. One of the core issues is identifying critical criteria for the successful implementation of lean manufacturing (LM) and evaluating them. The purpose of this paper is to analyze the causal relationships of LM criteria in a machine tool manufacturing firm located in national capital region of India using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. Design/methodology/approach The research paper presents a blend of theoretical framework and practical applications. Based on literature revie

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Márkus, A., J. Váncza, T. Kis, and A. Kovács. "Project Scheduling Approach to Production Planning." CIRP Annals 52, no. 1 (2003): 359–62. http://dx.doi.org/10.1016/s0007-8506(07)60601-5.

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McDonald, Conor M., and Iftekhar A. Karimi. "Planning and Scheduling of Parallel Semicontinuous Processes. 1. Production Planning." Industrial & Engineering Chemistry Research 36, no. 7 (1997): 2691–700. http://dx.doi.org/10.1021/ie960901+.

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Ge, Congqin, and Zhihong Yuan. "Production scheduling for the reconfigurable modular pharmaceutical manufacturing processes." Computers & Chemical Engineering 151 (August 2021): 107346. http://dx.doi.org/10.1016/j.compchemeng.2021.107346.

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Numao, Masayuki. "An integrated scheduling/planning environment for petrochemical production processes." Expert Systems with Applications 8, no. 2 (1995): 263–73. http://dx.doi.org/10.1016/0957-4174(94)e0017-o.

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Burcher, Peter. "Master Production Scheduling and Capacity Planning: The Link?" Integrated Manufacturing Systems 3, no. 4 (1992): 16–22. http://dx.doi.org/10.1108/09576069210018925.

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BONNEY, M. C. "Production Planning and Scheduling—mathematical Programming Applications." International Journal of Production Research 23, no. 5 (1985): 1053. http://dx.doi.org/10.1080/00207548508928075.

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Perkins, James R. "Optimal flow control in manufacturing systems: production planning and scheduling." Automatica 37, no. 9 (2001): 1499–500. http://dx.doi.org/10.1016/s0005-1098(01)00107-8.

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Tabucanon, Mario T., and Surat Petchratanaporn. "Tyre Manufacturing: Simplifying a Complex Production Planning and Scheduling Problem." Logistics Information Management 4, no. 3 (1991): 10–14. http://dx.doi.org/10.1108/eum0000000002878.

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Buckley, J., A. Chan, U. Graefe, J. Neelamkavil, M. Serrer, and V. Thomson. "An integrated production planning and scheduling system for manufacturing plants." Robotics and Computer-Integrated Manufacturing 4, no. 3-4 (1988): 517–23. http://dx.doi.org/10.1016/0736-5845(88)90024-5.

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HIGGINS, PAUL, and JIM BROWNE. "Master production scheduling: a concurrent planning approach." Production Planning & Control 3, no. 1 (1992): 2–18. http://dx.doi.org/10.1080/09537289208919369.

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Dvorak, Filip, Maxwell Micali, and Mathias Mathieug. "Planning and Scheduling in Additive Manufacturing." Inteligencia Artificial 21, no. 62 (2018): 40. http://dx.doi.org/10.4114/intartif.vol21iss62pp40-52.

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Abstract:

Recent advances in additive manufacturing (AM) and 3D printing technologies have led to significant growth in the use of additive manufacturing in industry, which allows for the physical realization of previously difficult to manufacture designs. However, in certain cases AM can also involve higher production costs and unique in-process physical complications, motivating the need to solve new optimization challenges. Optimization for additive manufacturing is relevant for and involves multiple fields including mechanical engineering, materials science, operations research, and production engin

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Yan, Hong-Sen, Qi-Feng Xia, Min-Ru Zhu, Xia-Ling Liu, and Zhi-Min Guo. "Integrated Production Planning and Scheduling on Automobile Assembly Lines." IIE Transactions 35, no. 8 (2003): 711–25. http://dx.doi.org/10.1080/07408170304348.

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Hill, John, Ricardo Costa, and Eduardo Jardim. "Strategic Capacity Planning and Production Scheduling in Jobbing Systems." Integrated Manufacturing Systems 3, no. 3 (1992): 22–26. http://dx.doi.org/10.1108/09576069210015874.

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Kopanos, Georgios M., Luis Puigjaner, and Christos T. Maravelias. "Production Planning and Scheduling of Parallel Continuous Processes with Product Families." Industrial & Engineering Chemistry Research 50, no. 3 (2011): 1369–78. http://dx.doi.org/10.1021/ie100790t.

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Toivonen, V., K. Ikkala, E. Niemi, and A. Korhonen. "Planning and Scheduling System for Make-To-Order Production." CIRP Annals 55, no. 1 (2006): 493–96. http://dx.doi.org/10.1016/s0007-8506(07)60466-1.

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Váncza, J., T. Kis, and A. Kovács. "Aggregation - the key to integrating production planning and scheduling." CIRP Annals 53, no. 1 (2004): 377–80. http://dx.doi.org/10.1016/s0007-8506(07)60720-3.

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