Journal articles: 'Advanced planning and scheduling system'

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

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

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

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

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Hsu, Tzu-Han, Li-Chih Wang, and Pei-Chun Chu. "Development of a Cloud-based Advanced Planning and Scheduling System." Procedia Manufacturing 17 (2018): 427–34. http://dx.doi.org/10.1016/j.promfg.2018.10.066.

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Zhang, Chaoyang, Pingyu Jiang, Lei Zhang, and Peihua Gu. "Energy-aware integration of process planning and scheduling of advanced machining workshop." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 11 (January 5, 2016): 2040–55. http://dx.doi.org/10.1177/0954405415616785.

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Increasing energy consumption of manufacturing industry demands novel approaches to achieve energy conservation and emission reduction. Most of the previous research efforts in this area focused more on analyzing manufacturing energy consumption of a process or that of a machine tool with less concern on the system level of advanced machining workshop, especially a flexible manufacturing system. In this article, a new energy-saving approach of flexible manufacturing system is put forward based on energy evaluation model for integration of process planning and scheduling problem in flexible manufacturing system (flexible manufacturing system-integration of process planning and scheduling). First, complying with feature precedence and other technological requirements, flexible manufacturing system -integration of process planning and scheduling is mapped as an asymmetric traveling salesman problem of which operations are provinces and candidate operations are cities belonging to different provinces. To evaluate the performance of each solution of the asymmetric traveling salesman problem, energy consumption evaluation criteria for flexible manufacturing system-integration of process planning and scheduling are established and three energy efficiency indicators are also provided to perform further analysis on manufacturing energy consumption, that is, part energy efficiency, machine tool energy efficiency and feasible solution energy efficiency. Then, a mutation-combined ant colony optimization algorithm is proposed to solve the flexible manufacturing system-integration of process planning and scheduling which combined roulette and mutation selection methods to pick out the next candidate operation. The pheromone trails associated with edges are released by the so-far-best ant or the iteration-best ant probabilistically to both keep the search directed and avoid converging to the local best. Finally, a case study of flexible manufacturing system in advanced machining workshop is employed to demonstrate the feasibility and applicability of this approach in three different scenarios and compared with the “process planning then scheduling” approach; energy consumption obtained by the proposed method drops 10.7%.

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Kjellsdotter Ivert, Linea, and Patrik Jonsson. "When should advanced planning and scheduling systems be used in sales and operations planning?" International Journal of Operations & Production Management 34, no. 10 (September 30, 2014): 1338–62. http://dx.doi.org/10.1108/ijopm-03-2011-0088.

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Purpose – The purpose of this paper is to explore how the context affects successful use of advanced planning and scheduling (APS) systems in sales and operations planning (S&OP) processes, and how individual, technological, and organizational (ITO) dimensions affect this procedure. Design/methodology/approach – This is a qualitative case study of two APS system-supported S&OP processes. The work aims to generate propositions concerning the relationships among the use of APS system, the context, ITO dimensions, and fulfillment of S&OP aims. Findings – Use of APS systems was especially appropriate in support of S&OP processes in complex planning environments and when S&OP aims were ambitious. ITO dimensions were important influences on successful APS system use in most contexts. APS systems were not considered appropriate when having S&OP processes with ambitious aims and low individual and organizational maturities. Use of APS systems was also inappropriate when the extent of technological maturity was minimal. S&OP processes with ambitious aims, operating within a complex planning environment, are difficult if not impossible to implement without the support of APS systems. Practical implications – The suggestions on when APS systems should be used in different S&OP environments will be useful to companies implementing or about to implement APS systems. Originality/value – APS systems offer great potential if they are effectively used to support S&OP, still the use of APS system in S&OP is unexplored. The paper shows how the context and the ITO dimensions affect the successful use of APS systems in S&OP processes.

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Lin, Chao‐Hsien, Sheue‐Ling Hwang, and Eric Min‐Yang Wang. "A reappraisal on advanced planning and scheduling systems." Industrial Management & Data Systems 107, no. 8 (October 2, 2007): 1212–26. http://dx.doi.org/10.1108/02635570710822822.

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Zhang, Haijun, Qiong Yan, and Xiying Peng. "Advanced planning and scheduling system with application in the tobacco industry." International Journal of Service and Computing Oriented Manufacturing 3, no. 1 (2017): 24. http://dx.doi.org/10.1504/ijscom.2017.087943.

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Peng, Xiying, Qiong Yan, and Haijun Zhang. "Advanced planning and scheduling system with application in the tobacco industry." International Journal of Service and Computing Oriented Manufacturing 3, no. 1 (2017): 24. http://dx.doi.org/10.1504/ijscom.2017.10008911.

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Modares, A., and M. Sepehri. "Development of an integrated system for distribution planning in supply chain." South African Journal of Business Management 40, no. 4 (December 31, 2009): 13–23. http://dx.doi.org/10.4102/sajbm.v40i4.547.

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Distribution planning, which includes Vehicle Routing and Scheduling Problem (VRSP), has become an important element in Supply Chain impacting its service level and efficiency. Computer Aided Routing and Scheduling (CARS) has been developed and implemented, which can handle complicated distribution models using advanced heuristic optimization algorithms. A classification scheme is introduced to classify various types of routing and scheduling problems in a structured manner, based on the main objects of VRSP. The integrated system described in this paper can manage the dynamic aspects of the Supply Chain in practice. The modelling and solution approach in the CARS optimization engine, its user interface, sample performance measurements, and planning and operational features of the system are described in detail.

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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 production strategies and real time information throughout the industry. This paper presents an appropriate Advance Production Planning and Scheduling Software System for a batch production aerospace manufacturing industry. The Software system receive the customer‘s order and perform material requirement planning using software. The software system sends procurement requisition to the procurement department for the materials which is not available in the store for manufacturing of parts. It issues release order to the store section for the issuance of material to the manufacturing shops. It also issues weekly and daily plan with production schedule to the manufacturing shops. It also issues work orders to the production shops for the manufacturing and assembly of the parts. On the completion of the product assembly, proper closing of the work orders has to be done and product may deliver to the warehouse for further handing over to the customers. In case of modification of order by the customer, the Software System will automatically update the relevant data.

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Chen, James C., Ling Huey Su, Gary C. Chao, Chih Cheng Chen, Tzu Wei Peng, Cheng Ju Sun, Jui Wei Chien, and Hui Chien Chien. "Advanced Planning and Scheduling for Color Filter Fabrication Plants." Key Engineering Materials 450 (November 2010): 361–64. http://dx.doi.org/10.4028/www.scientific.net/kem.450.361.

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This research proposed Advanced Planning and Scheduling (APS) system to effectively and efficiently balance machine loading for color filter fabrication plants in Thin Film Transistor - Liquid Crystal Display industry. APS uses six modules to estimate future equipment loading and calculate order due dates according to capacity limits by taking into account the due date and size of orders, as well as the capacity, loading, and yield of fabrication plants. These six modules include: Order Priority Module, WIP-Pulling Module, Order Release Module, Material Management Module, Workload Accumulation Module, and Workload Balance Module. A lot’s start processing time at each production step is selected leading to the best workload balance. Simulation and experimental design are used to evaluate the performance of APS. Production manager can use APS to improve color filter fabrication plants’ productivity and competitiveness.

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Sanderson, Penelope M. "The Human Planning and Scheduling Role in Advanced Manufacturing Systems: An Emerging Human Factors Domain." Human Factors: The Journal of the Human Factors and Ergonomics Society 31, no. 6 (December 1989): 635–66. http://dx.doi.org/10.1177/001872088903100602.

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Advanced manufacturing technology is quickly displacing humans from the factory floor, but relatively little is known about how much responsibility humans should retain over plant operation. Scheduling operations are particularly critical to maintaining overall manufacturing system performance, and many researchers argue that humans should be retained in the control loop for this task. This paper critically reviews work done over the last 25 years on human scheduling abilities. The increasing amount of empirical work on human scheduling ability is widely dispersed, and many researchers are not aware of one another's work. Current work on manufacturing scheduling, field studies, and laboratory work on human scheduling abilities are reviewed. Methodological and conceptual problems are highlighted. The intention is to provide a sounder basis for future research on the human scheduling role by providing knowledge of what has been examined in the past and an awareness of the important issues for the future

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Lupeikiene, Audrone, Gintautas Dzemyda, Ferenc Kiss, and Albertas Caplinskas. "Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges." Informatica 25, no. 4 (January 1, 2014): 581–616. http://dx.doi.org/10.15388/informatica.2014.31.

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GUPTA, M. C., Y. P. GUPTA, and G. W. EVANS. "Operations planning and scheduling problems in advanced manufacturing systems." International Journal of Production Research 31, no. 4 (April 1993): 869–900. http://dx.doi.org/10.1080/00207549308956763.

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David, F., H. Pierreval, and C. Caux. "Advanced planning and scheduling systems in aluminium conversion industry." International Journal of Computer Integrated Manufacturing 19, no. 7 (October 2006): 705–15. http://dx.doi.org/10.1080/09511920500504545.

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Patig, Susanne. "Zur Ausdrucksstärke der Stammdaten des Advanced Planning and Scheduling." Wirtschaftsinformatik 46, no. 2 (April 2004): 97–106. http://dx.doi.org/10.1007/bf03250929.

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Koch, Ronny-Alexander, Thomas Rücker, Herfried M. Schneider, and Sören Stodt. "Auswahl von Manufacturing Execution Systems/Advanced Planning and Scheduling Systems." industrie 4.0 Management 2018, no. 4 (August 3, 2018): 57–61. http://dx.doi.org/10.30844/i40m18-4_57-61.

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Wang, Zhong, Gang Zhang, and Guo Wei Zhao. "The Advanced Production Planning of Automated Scheduling Problems in Irradiation Industry." Advanced Materials Research 139-141 (October 2010): 1688–91. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1688.

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Because of the continuity and discreteness during production, Irradiation industry becomes one of an especial industry. Various product type, uncertain lots and complex processes cycle increase the difficulty of production planning and scheduling. The implementation of CIMS/ERP systems during product processes in the enterprise can not fulfill the special requirements especially in product automation monitoring and quality information monitoring. Research and application of scheduling method and optimization technology effect crucially for enterprise to improve its production efficiency and reduce its production cost. So, more and more scholars pay their attention to this research field. For this reason, the paper presents a mathematical production scheduling model in irradiation workshop based on the research of irradiation industry development and shop scheduling in China and abroad. The author also design an application of the irradiation shop scheduling Optimization with this model in detailed, based on described the concept, principle of genetic algorithm and its method.

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Sugimura, Nobuhiro, Koji Iwamura, and Tomohiko Maeda. "Special Issue on Production Planning and Scheduling." International Journal of Automation Technology 9, no. 3 (May 5, 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 advances in computer and information processing technologies and performance, tremendous progress has been made in the areas of production systems such as production planning, production scheduling, advances production systems (APS), enterprise resource planning (ERP), just-in time (JIT) processes, the theory of constraint (TOC), product data management (PDM) and computer-aided design / manufacturing / engineering (CAD/CAM/CAE). This special issue addresses the latest research advances, applications, and case studies in production planning and scheduling covering such as decentralized and autonomous production systems, distributed simulation models, robust capacity planning models, wireless sensor networks for production systems and applications to automotive component and steel production. We hope that learning about these advances will enable readers to share their own experience and knowledge in technology, new developments and the potential applications of production planning and scheduling methods and solutions.

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Öztürk, Cemalettin, and Arslan M. Ornek. "Operational extended model formulations for Advanced Planning and Scheduling systems." Applied Mathematical Modelling 38, no. 1 (January 2014): 181–95. http://dx.doi.org/10.1016/j.apm.2013.05.049.

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Fachini, Ramon Faganello, Kleber Francisco Esposto, and Victor Claudio Bento Camargo. "A framework for development of advanced planning and scheduling (APS) systems in glass container industry." Journal of Manufacturing Technology Management 29, no. 3 (April 16, 2018): 570–87. http://dx.doi.org/10.1108/jmtm-06-2017-0126.

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Purpose The purpose of this paper is to present a new framework for designing and implementing simple but effective advanced planning and scheduling (APS) systems in glass container industry by means of spreadsheets. Design/methodology/approach The conceptual framework for APS system design is developed by integrating principles of end-user computing and mixed-integer programming (MIP). This framework comprises the APS implementation and its integration with enterprise resource planning systems. Such a proposal is applied in a real-world glass bottle manufacturer and its performance assessment is carried out by using metrics of the well-known supply chain operations reference (SCOR) model. Findings The case study shows that the framework application can improve the responsiveness of glass container supply chain (SC) as well as reduce significantly SC planning costs. A further assessment of the end-user computing satisfaction highlights the general acceptance of the framework. Practical implications The proposed framework can assist glass industry managers and practitioners to solve their complex production planning problem since custom solutions are not available for this sector. Another important implication is the possible generalization of the framework given that MIP models for production planning are currently available in the literature for different industries. Originality/value On the one hand, the new framework successfully integrates concepts of end-user computing and MIP bridging the gap between theory of aforementioned areas and their practical applications. On the other hand, the paper contributes to the scarce literature on performance evaluation of APS systems and their impact on production system performance. The novel APS gain analysis based on SCOR metrics ensures that the system potential benefits are aligned with the modern concepts of supply chain management.

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Peng, Yunfang, Dandan Lu, and Yarong Chen. "A Constraint Programming Method for Advanced Planning and Scheduling System with Multilevel Structured Products." Discrete Dynamics in Nature and Society 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/917685.

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This paper deals with the advanced planning and scheduling (APS) problem with multilevel structured products. A constraint programming model is constructed for the problem with the consideration of precedence constraints, capacity constraints, release time and due date. A new constraint programming (CP) method is proposed to minimize the total cost. This method is based on iterative solving via branch and bound. And, at each node, the constraint propagation technique is adapted for domain filtering and consistency check. Three branching strategies are compared to improve the search speed. The results of computational study show that the proposed CP method performs better than the traditional mixed integer programming (MIP) method. And the binary constraint heuristic branching strategy is more effective than the other two branching strategies.

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Montesco, Richard A. Estombelo, Marcosiris A. O. Pessoa, and Mauricio F. Blos. "Scheduling heuristic resourced-based on task time windows for APS (Advanced planning and scheduling) Systems." IFAC-PapersOnLine 48, no. 3 (2015): 2273–80. http://dx.doi.org/10.1016/j.ifacol.2015.06.426.

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Kjellsdotter Ivert, Linea, and Patrik Jonsson. "The potential benefits of advanced planning and scheduling systems in sales and operations planning." Industrial Management & Data Systems 110, no. 5 (May 25, 2010): 659–81. http://dx.doi.org/10.1108/02635571011044713.

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Hvolby, Hans-Henrik, and Kenn Steger-Jensen. "Technical and industrial issues of Advanced Planning and Scheduling (APS) systems." Computers in Industry 61, no. 9 (December 2010): 845–51. http://dx.doi.org/10.1016/j.compind.2010.07.009.

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Shim, Sang Oh. "Line Level Scheduling by Integrating Area Level Scheduling in Manufacturing Systems." Applied Mechanics and Materials 267 (December 2012): 83–86. http://dx.doi.org/10.4028/www.scientific.net/amm.267.83.

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In current automated manufacturing systems, production managers try to implement more efficient and effective scheduling methods which play important roles in supply chain by maximizing utilization of the installed equipments and throughput as well as meeting customers' various demands. In relation to enhancing capabilities and responding demands, some raising issues are discussed, which are transportation of lots between manufacturing lines, management of urgent jobs and workload balancing among areas. In this research, by discussing these scheduling issues, a new concept and its design, which is called as line-level scheduling, are suggested for advanced planning and scheduling systems in the manufacturing systems.

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Liu, Jen-Li, Li-Chih Wang, and Pei-Chun Chu. "Development of a Cloud-based Advanced Planning and Scheduling System for Automotive Parts Manufacturing Industry." Procedia Manufacturing 38 (2019): 1532–39. http://dx.doi.org/10.1016/j.promfg.2020.01.133.

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Lee, Jae-yong, and Moonsoo Shin. "A Case Study on Application of Dispatching Rule-Based Advanced Planning and Scheduling (APS) System." Journal of Society of Korea Industrial and Systems Engineering 38, no. 3 (September 30, 2015): 78–86. http://dx.doi.org/10.11627/jkise.2015.38.3.78.

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Hu, Ju Fang, and Chun Ru Xiong. "A Manufacturing Execution System for Discrete Industry." Applied Mechanics and Materials 519-520 (February 2014): 1585–88. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1585.

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Manufacturing Execution System (MES) is widely used in enterprise production scene. But most manufacturing execution systems are expensive and mostly for the continuous production-oriented enterprises. Thus, they are hardly applied to a large number of existing discrete manufacturing enterprises. For discrete manufacturing companies, on-site processing is complex such as the planning and scheduling. This paper proposes a concept that is the use of advanced enterprise information management and designs a CIMS technology for discrete industry. The system is capable of real-time monitoring of discrete manufacturing companies in the products of the process of production and production data collection. The completion of the automatic production scheduling is achieved, providing a variety of enterprise project management module upper and greatly optimizing various production resources of the enterprise configuration. In practical applications, it has received very good results.

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El Khayyam, Yassine, and Brahim Herrou. "Integrated Production and Logistics Planning." International Journal of Online and Biomedical Engineering (iJOE) 14, no. 12 (December 23, 2018): 84. http://dx.doi.org/10.3991/ijoe.v14i12.9068.

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<p class="0abstract">Industrial planning systems have undergone considerable evolution in recent decades, starting from MRP, then ERP, and finally advanced planning and scheduling systems (APS). This evolution took place by dint of the evolution of information and communication technologies, and also due to industrial stakeholder integration tendency forming global supply chains in order to optimize costs and lead times. The purpose of this article is to present a new integrated short and medium term planning approach for upstream logistics (necessary for procurement) and production, this new approach is the MLRP "Manufacturing and Logistic Requirement Planning ". We introduce in this paper a new bill of materials structure that is adapted to the MLRP, and then we present the proposed algorithm which allows determining production and logistics needs for all bills of materials components. Finally, we present the proposed information system that implements the MLRP.</p>

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Pessoa, Marcosiris A. O., Richard A. Estombelo Montesco, Fabricio Junqueira, Diolino Jose dos Santos Filho, and Paulo E. Miyagi. "Advanced Planning and Scheduling Systems based on Time Windows and Constraint Programming." IFAC Proceedings Volumes 46, no. 7 (May 2013): 192–97. http://dx.doi.org/10.3182/20130522-3-br-4036.00069.

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Ivert, Linea Kjellsdotter. "Shop floor characteristics influencing the use of advanced planning and scheduling systems." Production Planning & Control 23, no. 6 (May 31, 2011): 452–67. http://dx.doi.org/10.1080/09537287.2011.564218.

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Chen, Kejia, and Ping Ji. "A mixed integer programming model for advanced planning and scheduling (APS)." European Journal of Operational Research 181, no. 1 (August 2007): 515–22. http://dx.doi.org/10.1016/j.ejor.2006.06.018.

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Dayou, Liu, Yan Pu, and Yu Ji. "Development of a multiobjective GA for advanced planning and scheduling problem." International Journal of Advanced Manufacturing Technology 42, no. 9-10 (July 30, 2008): 974–92. http://dx.doi.org/10.1007/s00170-008-1653-8.

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

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

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Boddy, Mark, Maria Fox, and Sylvie Thiébaux. "The Seventeenth International Conference on Automated Planning and Scheduling (ICAPS-07)." AI Magazine 29, no. 3 (September 5, 2008): 116. http://dx.doi.org/10.1609/aimag.v29i3.2162.

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The Seventeenth International Conference on Automated Planning and Scheduling (ICAPS-07) was held in Providence, Rhode Island in September 2007. It covered the latest theoretical and practical advances in planning and scheduling. The conference was co-located with the Thirteenth International Conference on Principles and Practice of Constraint Programming (CP-07). The program consisted of tutorials, workshops, system demonstrations, a doctoral consortium, and three days of technical presentations mostly in parallel sessions. ICAPS-07 also hosted the second edition of the International Competition on Knowledge Engineering for Planning and Scheduling. This report describes the conference in more detail.

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Koblasa, František, František Manlig, and Jan Vavruška. "Evolution Algorithm for Job Shop Scheduling Problem Constrained by the Optimization Timespan." Applied Mechanics and Materials 309 (February 2013): 350–57. http://dx.doi.org/10.4028/www.scientific.net/amm.309.350.

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Nowadays, production scheduling is a greatly debated field of operation research due its potential benefits for improving manufacturing performance. Production scheduling, however, despite the increasing use of APS (Advanced Planning and scheduling Systems) and MES (Manufacturing Enterprise Systems) is still underestimated and one frequently encounters more or less intuitive scheduling using excel spread sheets at workshop level, mainly in SME (Small and Medium Enterprises). Some of the main reasons for this are the complexity of related algorithms and the timespan of the optimization manufacturing operation sequence. The complexity of the algorithms usually leads to a number of operators which are difficult to set up for a usual workshop foreman or manufacturing planner. That is why dispatching rules are widely used in comparison with advanced heuristics, such as Evolution Algorithms (EA). Therefore, operation research should not focus only on getting the best values of the objective function by problem based operators, but also on industrial practice requirements such as operator simplicity and a low timespan of the optimization. This article briefly introduces key principles of the scheduling system developed for the Job Shop Scheduling Problem (JSSP) type of manufacturing. An implemented EA with random key representation, clone and incest control and chromosome repair algorithm is briefly explained. Further, the test results of the evolution operator (e.g. crossover and selection) are presented with respect to the value of the objective function and timespan of the optimization. The research goal is to develop a principle of automatic optimization using EA, where the single parameter to set is required optimization timespan.

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Harki, Naji, Abdulraheem Ahmed, and Lailan Haji. "CPU Scheduling Techniques: A Review on Novel Approaches Strategy and Performance Assessment." Journal of Applied Science and Technology Trends 1, no. 2 (May 6, 2020): 48–55. http://dx.doi.org/10.38094/jastt1215.

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The operating system (OS) is now being widely used in many of the various modern applications in recent years, ranging from diabetic monitoring to other strategic planning. The main function of any OS is to control and coordinate all hardware resources among the commands of the same/different user, which increases the efficiency of advanced comprehensive applications. In an autonomous computer system, the CPU is one of the important resources to manage and process all activities which require scheduling techniques on a processor. Since the early days of computing and other multi-programming OS, various studies have been assigned to CPU scheduling techniques based on processes management and performance evaluation. Thus, outlining the many issues related to scheduling methodologies and the weaknesses that need to be addressed. This review paper is organized based on two distinct perspectives: the implement strategies of CPU scheduling technique and criteria-based measures used, which assess how the strategies are analyzed and used under performance evaluation.

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Russell, Alan D. "Microcomputers, management, and high-rise construction: the next step." Canadian Journal of Civil Engineering 12, no. 2 (June 1, 1985): 396–414. http://dx.doi.org/10.1139/l85-042.

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The attributes required of an integrated management information system that advances the state-of-the-art and that is responsive to the needs of general contractor project management personnel for high-rise construction are presented. These needs are elaborated upon through the mechanism of a framework for conducting research on construction management information systems.Emphasis is placed on planning and scheduling for repetitive construction and subcontractor control. The description of a microcomputer-based prototype system called REPCON, which incorporates many of the attributes identified, is provided along with results from field tests of the system. Recommendations for future research are given. Key words: high-rise construction, management information system, planning and scheduling, subcontractor control, field tests.

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Crawford, Lara S., Minh Binh Do, Wheeler S. Ruml, Haitham Hindi, Craig Eldershaw, Rong Zhou, Lukas Kuhn, et al. "On-Line Reconfigurable Machines." AI Magazine 34, no. 3 (September 15, 2013): 73–88. http://dx.doi.org/10.1609/aimag.v34i3.2387.

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A recent trend in intelligent machines and manufacturing has been toward reconfigurable manufacturing systems, which move away from the idea of a fixed factory line executing an unchanging set of operations, and toward the goal of an adaptable factory structure. The logical next challenge in this area is that of on-line reconfigurability. With this capability, machines can reconfigure while running, enable or disable capabilities in real time, and respond quickly to changes in the system or the environment (including faults). We propose an approach to achieving on-line reconfigurability based on a high level of system modularity supported by integrated, model-based planning and control software. Our software capitalizes on many advanced techniques from the artificial intelligence research community, particularly in model-based domain-independent planning and scheduling, heuristic search, and temporal resource reasoning. We describe the implementation of this design in a prototype highly modular, parallel printing system.

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Örnek, Arslan, Selin Özpeynirci, and Cemalettin Öztürk. "A note on “A mixed integer programming model for advanced planning and scheduling (APS)”." European Journal of Operational Research 203, no. 3 (June 2010): 784–85. http://dx.doi.org/10.1016/j.ejor.2009.09.025.

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Takadama, Keiki. "Selected Papers from i-SAIRAS 2010." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 8 (October 20, 2011): 1139. http://dx.doi.org/10.20965/jaciii.2011.p1139.

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This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 - September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart sensors, testing and validation, architectures); (2) mission operations automation (e.g., decision support tools for mission planning and scheduling, anomaly detection and fault analysis, innovative operations concepts, data visualization, secure commanding and networking); (3) design tools and optimization methods, electronic documentation; and (4) AI methods (e.g., automated planning and scheduling, agents model-based reasoning, machine learning and data mining). In the selection process for JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics), 13 papers were firstly nominated from 133 oral presentation papers as outstanding AI-related papers by i-SAIRAS International Committee, and 6 papers were finally accepted through the two-stages of pear-reviews. All papers were reviewed by three reviewers. As the brief introduction of these papers, the paper by Mark Johnston and Mark Giuliano presents an architecture called MUSE (Multi-User Scheduling Environment) to integrate multi-objective evolutionary algorithms with existing domain planning and scheduling tools. The second paper by Amdeo Cesta et al. discusses general lessons learned from a series of deployed planning and scheduling systems. The third paper by Alessandro Donati et al. spotlights specific achievements and trends in the area of spacecraft diagnosis and mission planning and scheduling. The fourth paper by Cedric Cocaud and Takashi Kubota proposes the system that provides position and attitude information to a spacecraft during its approach descent and landing phase toward the surface of an asteroid. The firth paper by Tomohiro Harada et al. studies On-Board Computer which evolves computer programs through the bit inversion and analyzes its robustness to the bit inversion. Finally, the last paper by Masayuki Otani et al. explores the distributed control of the multiple robots which may be broken in the assembly of space solar power satellite. The editor hopes that these papers would help for readers to capture the state-of-art of AI technology in space.

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Galuzin, V. A., A. Yu Kutomanov, M. M. Matyushin, and P. O. Skobelev. "A Review of Modern Methods for Planning and Scheduling of the Operations in Advanced Space Systems." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 11 (November 4, 2020): 639–50. http://dx.doi.org/10.17587/mau.21.639-650.

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Grigoraș, Gheorghe, and Bogdan-Constantin Neagu. "An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises." Applied Sciences 10, no. 10 (May 19, 2020): 3505. http://dx.doi.org/10.3390/app10103505.

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The paper presents a new vision on the energy consumption management in the case of the small and medium enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, with four modules for database management, profiling, forecasting, and production scheduling. Inside each module, artificial intelligence and data mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the data mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact for which energy bills have on the operational costs.

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Wang, Na, Yaping Fu, and Hongfeng Wang. "A meta-heuristic algorithm for integrated optimization of dynamic resource allocation planning and production scheduling in parallel machine system." Advances in Mechanical Engineering 11, no. 12 (December 2019): 168781401989834. http://dx.doi.org/10.1177/1687814019898347.

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With the wide application of advanced information technology and intelligent equipment in the manufacturing system, the decisions of design and operation have become more interdependent and their integration optimization has gained great concerns from the community of operational research recently. This article investigates an optimization problem of integrating dynamic resource allocation and production schedule in a parallel machine environment. A meta-heuristic algorithm, in which heuristic-based partition, genetic-based sampling, promising index calculation, and backtracking strategies are employed, is proposed for solving the investigated integration problem in order to minimize the makespan of the manufacturing system. The experimental results on a set of random-generated test instances indicate that the presented model is effective and the proposed algorithm exhibits the satisfactory performance that outperforms two state-of-the-art algorithms from literature.

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Нырков, Д., D. Nyrkov, Александр Стариков, and Aleksandr Starikov. "Analysis of Advanced Algorithms Master Production Schedule for Custom Manufacture of Furniture." Forestry Engineering Journal 7, no. 3 (November 1, 2017): 299–306. http://dx.doi.org/10.12737/article_59c2124049cd45.48567850.

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The article discusses the algorithms employed in automated systems for master production scheduling in the applicability of their produce-to-order furniture. Small batch and custom production of furniture occupies a significant market share, as we do, and in the countries of Western Europe. Also, it is a prospective direction of development for other industries, focused on the end user. Most of the existing national planning systems designed for large-scale and mass production, in which the main role takes enterprise performance. Therefore, the main indicator, which is used by the optimization of scheduling, is the moment of completion of the last job. However, custom production is much more complex factors affecting the success of the enterprise as a whole: a key indicator in this case is the completion of all work no later than the specified time, not their early completion (within the terms established by treaties with customers). Also in the custom and small-scale production, it takes an important role time index spent on readjustment of the equipment associated with the transition to a different type of output. If these and other indicators do not have a significant role in large-scale production, the small-scale productions of these indicators have a significant impact on the performance of the enterprise, and they can no longer be neglected. In this paper, the three most promising mathematical algorithms (algorithm simulated annealing, genetic algorithm and artificial neural network), which allow us to optimize schedules based on several criteria applied to the problem of master production scheduling, customized production of furniture.

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Pusztai, László, Balázs Kocsi, István Budai, and Lajos Nagy. "Investigation of a production process under uncertainty." Pollack Periodica 15, no. 2 (August 2020): 49–59. http://dx.doi.org/10.1556/606.2020.15.2.5.

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Abstract:A key role of production managers at manufacturing companies is to make economy-based decisions related to production scheduling. If the production is subject to uncertain factors, like human resource or lack of standardization, production planning becomes difficult and calls for advanced models that are tailored to the manufacturing process. This research investigates a real furniture manufacturing system from both managerial and materialflow points of view. Statistical simulation was run on the manufacturing process, where the possible production structures were given. ANOVA analysis was calculated in order to identify those activities that have the most significant influence on the profit.

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Udaipurwala, Asad, and Alan D. Russell. "Computer-assisted construction methods knowledge management and selection." Canadian Journal of Civil Engineering 29, no. 3 (June 1, 2002): 499–516. http://dx.doi.org/10.1139/l02-030.

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The construction industry's information environment is undergoing rapid changes. Construction professionals now expect fast and reliable access to rich data sources. Significant advances have been made in streamlining the creation and dissemination of computer-aided design drawings and construction documents through incorporation of information technology in the workflow. However, there is a need to go beyond just the automation of existing paper flows and provide the construction knowledge worker with tools that can be easily used to document previous project experience, track new technological developments, and then incorporate these in the formulation of construction strategies for future projects. This paper describes work aimed at creating such tools in the context of a comprehensive decision-support system, by developing intelligent representation structures for storing and accessing construction domain knowledge and coupling them with advanced planning tools so as to enable the quick formulation and assessment of initial project plans. The information requirements and features needed for such a system are first examined, followed by a demonstration of how some of these requirements have been addressed in the system design and implementation. Aspects of a hypothetical high-rise building project are used throughout to illustrate application of the concepts developed.Key words: construction methods, integrated project management systems, methods feasibility reasoning, hierarchical scheduling, project views.

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AL-Tahat, Mohammad D. "Design and Analysis of Lean Production Planning and Control System for NPF Company." Applied Mechanics and Materials 575 (June 2014): 879–83. http://dx.doi.org/10.4028/www.scientific.net/amm.575.879.

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Some of the important factors that are highly considered in NPF are; production processes, waste reeducation and optimization of raw materials. These concerns can be addressed through advance planning and scheduling and thoughtful programming for production, which reflects the goals, taking into account the different alternatives and the limited resources. On this basis the problem was formulated specifically, the problem specifically, taken into account the particular circumstances of NPF Company, special data was collected to configure a model for the planning and control of production processes. Implementation and analysis of all of that depended on brainstorming with the engineers of NPF, and then the marketing studies for finished productswere analyzed. We concluded after all to the study forecasts the future of the company products; based on the results an aggregate plan is designed. Then a production plans for all levels of planning and control of the proposed production quantities of all products are presented.

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Li, G. Q., X. G. Zhou, J. Yin, and Q. Y. Xiao. "An UAV scheduling and planning method for post-disaster survey." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2 (November 11, 2014): 169–72. http://dx.doi.org/10.5194/isprsarchives-xl-2-169-2014.

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Annually, the extreme climate and special geological environments lead to frequent natural disasters, e.g., earthquakes, floods, etc. The disasters often bring serious casualties and enormous economic losses. Post-disaster surveying is very important for disaster relief and assessment. As the Unmanned Aerial Vehicle (UAV) remote sensing with the advantage of high efficiency, high precision, high flexibility, and low cost, it is widely used in emergency surveying in recent years. As the UAVs used in emergency surveying cannot stop and wait for the happening of the disaster, when the disaster happens the UAVs usually are working at everywhere. In order to improve the emergency surveying efficiency, it is needed to track the UAVs and assign the emergency surveying task for each selected UAV. Therefore, a UAV tracking and scheduling method for post-disaster survey is presented in this paper. In this method, Global Positioning System (GPS), and GSM network are used to track the UAVs; an emergency tracking UAV information database is built in advance by registration, the database at least includes the following information, e.g., the ID of the UAVs, the communication number of the UAVs; when catastrophe happens, the real time location of all UAVs in the database will be gotten using emergency tracking method at first, then the traffic cost time for all UAVs to the disaster region will be calculated based on the UAVs’ the real time location and the road network using the nearest services analysis algorithm; the disaster region is subdivided to several emergency surveying regions based on DEM, area, and the population distribution map; the emergency surveying regions are assigned to the appropriated UAV according to shortest cost time rule. The UAVs tracking and scheduling prototype is implemented using SQLServer2008, ArcEnginge 10.1 SDK, Visual Studio 2010 C#, Android, SMS Modem, and Google Maps API.

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Journal articles on the topic 'Advanced planning and scheduling system'

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