Relevant bibliographies by topics / Advanced planning and scheduling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Advanced planning and scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Advanced planning and scheduling"

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Katoh, Naoki, Hiroshi Kise, Takayoshi Tamura, et al. "Preface on Special Issue on Advanced Planning and Scheduling for Supply Chain Management(Advanced Planning and Scheduling for Supply Chain Management)." Journal of the Operations Research Society of Japan 49, no. 3 (2006): 151. http://dx.doi.org/10.15807/jorsj.49.151.

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Selvarajah, Esaignani, and George Steiner. "BATCH SCHEDULING IN CUSTOMER-CENTRIC SUPPLY CHAINS(Advanced Planning and Scheduling for Supply Chain Management)." Journal of the Operations Research Society of Japan 49, no. 3 (2006): 174–87. http://dx.doi.org/10.15807/jorsj.49.174.

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Steger-Jensen, Kenn, Hans-Henrik Hvolby, Peter Nielsen, and Izabela Nielsen. "Advanced planning and scheduling technology." Production Planning & Control 22, no. 8 (2011): 800–808. http://dx.doi.org/10.1080/09537287.2010.543563.

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Kuroda, M., H. Shin, and A. Zinnohara. "Robust scheduling in an advanced planning and scheduling environment." International Journal of Production Research 40, no. 15 (2002): 3655–68. http://dx.doi.org/10.1080/00207540210137567.

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Kung, Ling-Chieh, and Ching-Chin Chern. "Heuristic factory planning algorithm for advanced planning and scheduling." Computers & Operations Research 36, no. 9 (2009): 2513–30. http://dx.doi.org/10.1016/j.cor.2008.09.013.

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Tanizaki, Takashi, Takayoshi Tamura, Hideaki Sakai, Yutaka Takahashi, and Taichi Imai. "A HEURISTIC SCHEDULING ALGORITHM FOR STEEL MAKING PROCESS WITH CRANE HANDLING(Advanced Planning and Scheduling for Supply Chain Management)." Journal of the Operations Research Society of Japan 49, no. 3 (2006): 188–201. http://dx.doi.org/10.15807/jorsj.49.188.

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Hwang, Duk-Hyuong, Seung-Don Nam, Young-Wook Cho, Sun-Il Oh, Seoung-Hun La, and Kyong-Sik Kang. "A Study on the Process Design of Advanced Planning & Scheduling for Transformer Operation Improvement." Journal of the Korea Safety Management and Science 14, no. 2 (2012): 159–66. http://dx.doi.org/10.12812/ksms.2012.14.2.159.

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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 (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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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 (2007): 1212–26. http://dx.doi.org/10.1108/02635570710822822.

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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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Dissertations / Theses on the topic "Advanced planning and scheduling"

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Attri, Hitesh. "An agent based manufacturing scheduling module for Advanced Planning and Scheduling." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/31586.

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A software agents based manufacturing scheduling module for Advanced Planning and Scheduling (APS) is presented. The problem considered is scheduling of jobs with multiple operations, distinct operation processing times, arrival times, and due dates in a job shop environment. Sequence dependent setups are also considered. The additional constraints of material and resource availability are also taken into consideration. The scheduling is to be considered in integration with production planning. The production plans can be changed dynamically and the schedule is to be generated to reflect the appropriate changes. The design of a generic multi-agent framework which is domain independent along with algorithms that are used by the agents is also discussed.<br>Master of Science
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Zhong, Runyang, and 钟润阳. "RFID-enabled real-time advanced production planning and scheduling using data mining." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50533794.

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RFID (Radio Frequency Identification) technology has been widely used in manufacturing companies to support their production decision-makings such as planning and scheduling. Significant benefits have been obtained like real-time data collection, advanced production planning and scheduling (APS), as well as efficient material tracing & tracking. However, these companies are dazed when facing vast amount of RFID data, which could be further processed to obtain some invaluable knowledge for advanced decision-makings. This thesis proposes a holistic RFID-enabled solution for manufacturing companies which are facing typical challenges like paper-based data collection, inefficient planning and scheduling, ineffective work-in-progress (WIP) items visibility and traceability, as well as unsynchronized decision-making procedures. This solution includes several aspects. Firstly, RFID devices are systematically deployed in manufacturing sites (e.g. warehouse and shopfloors) to create an RFID-enabled ubiquitous production environment, where typical resources are converted into smart manufacturing objects (SMOs) which are able to sense and interact with each other. Thus, production logics could be carried out adaptively. Secondly, a real-time production planning and scheduling model is worked out for suiting the RFID-enabled ubiquitous manufacturing environment. This model uses several key concepts like hybrid flow shop scheduling (HFS), real-time job pool, and hierarchical decision-making principle to integrate production planning and scheduling level interactively. A real-time Kanban is proposed to coordinate these two levels. Thus, production decisions achieve a real-time fashion. Thirdly, in order to make full use of the RFID-captured real-time shopfloor production data, a data mining approach is introduced to excavate invaluable information and knowledge for APS decision-makings. Standard operation times (SOTs) and decision rules are mined for this purpose. Fourthly, an RFID-enabled real-time APS model is proposed for production decision-making. The resulting APS model is based on a hierarchical production decision-making principle to formulate planning and scheduling levels. An RFID-event driven mechanism is adopted to integrate these two levels for collaborative decision-making with the data mining approach. An RFID-enabled real-time advanced production planning and scheduling shell (RAPShell) is developed by using the concepts and models proposed in this thesis. Some cutting-edge technologies are implemented within RAPShell such as service-oriented architecture (SOA), Software as a Service (SaaS), and XML-based (re)configuration. A case study from a real-life automotive manufacturer is presented for demonstrating how RAPShell is able to facilitate the production activities and decision-making procedures. Benefits from quantitative and qualitative aspects in this case are summarized and discussed. Some innovative contributions are significant. Firstly, an affordable and systematic RFID deployment scheme is proposed to create an RFID-enabled ubiquitous manufacturing environment. Secondly, an entire data mining approach is worked out for discovering the invaluable information and knowledge from vast amount of RFID production data. Thirdly, an APS model using RFID-event driven and data mining technique is proposed to achieve ultimate APS within the ubiquitous manufacturing. Finally, insights and lessons learnt from this research and implementations are generated as managerial implications which could be referred by both academics and practitioners when contemplating the RFID-enabled solution.<br>published_or_final_version<br>Industrial and Manufacturing Systems Engineering<br>Doctoral<br>Doctor of Philosophy
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Chiavacci, Giacomo. "Introduzione di un sistema Advanced Planning and Scheduling nel settore metalmeccanico: il caso Fabio Perini S.p.A." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20160/.

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Il seguente lavoro di tesi riguarda l’implementazione di un software facente parte della tipologia APS (Advanced Planning Systems o Advanced Planning & Scheduling) in un’azienda del territorio bolognese e appartenente al settore metalmeccanico. Il contesto presso cui l’attività riguardante la tesi ha avuto luogo è stato infatti quello della Fabio Perini Packaging S.p.A, azienda leader nella produzione di macchine automatiche per il packaging del tissue, conosciuta commercialmente come Casmatic e sita a Calderara di Reno; il software di cui si è studiata invece l’implementazione è denominato J-Flex e viene sviluppato dalla Tecnest Srl, azienda della provincia di Udine. Il progetto di tesi in particolare ha riguardato uno studio di fattibilità valorizzato da una monetizzazione dei benefici riguardanti l’implementazione di tale tipologia di software presso lo stabilimento bolognese, essendo J-Flex tra l’altro già in uso nella sede principale della Fabio Perini, con sede a Lucca. L’attività portata avanti rientra in un progetto di più ampio respiro in quanto il sito di Bologna sarà utilizzato come banco di prova per poter nei prossimi mesi far adottare la suite J-Flex a tutti gli stabilimenti della Fabio Perini, nell’ottica di poter instaurare logiche di utilizzo sinergiche e condivise tra tutti i plant distribuiti per il mondo. Le motivazioni che hanno portato alla scelta dell’adozione di tale tipologia di software sono state dovute, oltre al voler utilizzare un sistema unico condiviso tra tutti gli stabilimenti al fine di aumentare la coerenza e la compatibilità dei dati e delle procedure, anche al riscontro di un basso livello di efficacia delle attività previsionali e di pianificazione.
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Goel, Amol. "A Multi-Agent System and Auction Mechanism for Production Planning over Multiple Facilities in an Advanced Planning and Scheduling System." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/35403.

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One of the major planning problems faced by medium and large manufacturing enterprises is the distribution of production over various (production) facilities. The need for cross-facility capacity management is most evident in the high-tech industries having capital-intensive equipment and short technology life cycle. There have been solutions proposed in the literature that are based on the lagragian decomposition method which separate the overall multiple product problem into a number of single product problems. We believe that multi-agent systems, given their distributed problem solving approach can be used to solve this problem, in its entirety, more effectively. According to other researchers who have worked in this field, auction theoretic mechanisms are a good way to solve complex production planning problems. This research study develops a multi-agent system and negotiation protocol based on combinatorial auction framework to solve the given multi-facility planning problem. The output of this research is a software library, which can be used as a multi-agent system model of the multi-product, multi-facility capacity allocation problem. The negotiation protocol for the agents is based on an iterative combinatorial auction framework which can be used for making allocation decisions in this environment in real-time. A simulator based on this library is created to validate the multi-agent model as well as the auction theoretic framework for different scenarios in the problem domain. The planning software library is created using open source standards so that it can be seamlessly integrated with scheduling library being developed as a part of the Advanced Planning and Scheduling (APS) system project or any other software suite which might require this functionality. The research contribution of this study is in terms of a new multi-agent architecture for an Advanced Planning and Control (APS) system as well as a novel iterative combinatorial auction mechanism which can be used as an agent negotiation protocol within this architecture. The theoretical concepts introduced by this research are implemented in the MultiPlanner production planning tool which can be used for generating master production plans for manufacturing enterprises. The validation process carried out on both the iterative combinatorial framework and the agent-based production planning methodology demonstrate that the proposed solution strategies can be used for integrated decision making in the multi-product, multi-facility production planning domain. Also, the software tool developed as part of this research is a robust, platform independent tool which can be used by manufacturing enterprises to make relevant production planning decisions.<br>Master of Science
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Stéen, Johan. "Improving Supply Chain Management with Advanced Planning and Scheduling : Effects and possibilities with an international perspective." Thesis, Linköping University, Department of Management and Economics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6185.

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<p>Companies are more and more moving to low wage regions like Eastern Europe and Asia to stay competitive. Instead of lowering the cost of production, it has been argued that a company can stay competitive through making the use of the resources more efficient. In this study the effects a German resource saving concept, involving reorganization towards processes and an Advanced Planning and Scheduling (APS) module, has on Supply Chain Management (SCM) are investigated. In addition to this a comparison between German best-practice companies and Swedish companies has been done. This comparison was conducted in order to determine the changes needed to be made when taking this German concept to Swedish companies.</p><p>The results of this study indicate that through the German resource saving concept major improvements in delivery performance, responsiveness, supply chain costs, and asset management can be achieved. Further, this study has shown that there are very good possibilities for Swedish companies at reaching these improvements successfully. Barriers to a success in Sweden include a lack of managerial commitment and hierarchies as well as outsourced IT departments at Swedish companies. Recommendations to overcome these barriers consist of training key users more thoroughly and stressing the importance of committed managers.</p>
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Malagoli, Elena. "Riorganizzazione della gestione della produzione mediante Advanced Planning & Scheduling System (APS) e Value Stream Mapping nel settore arredo di lusso." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Questo elaborato di tesi descrive il lavoro svolto nel periodo di tirocinio per tesi presso l’azienda Eurosystem Spa, con sede a Bologna, all’interno del team APS e MES. In questo elaborato viene descritta l’attività di consulenza in ambito MES e APS per un’azienda produttrice di mobili di lusso. In particolare, sfruttando le potenzialità fornite dal software PlanetTogether APS per la schedulazione della produzione e quindi tramite esso, conseguire delle soluzioni di miglioramento, nell’ottica di un’ottimizzazione della produzione e riduzione dei tempi di consegna. Per la precisione verrà approfondita la fase di cambiamento di produzione verso una logica ATO dell’azienda cliente, partendo da una logica MTO. Ciò comporterà l’analisi del punto di disaccoppiamento della produzione e relativa analisi degli sprechi al fine di ridurre il più possibile il lead time di produzione. In ausilio a questo passaggio viene usato, anche il metodo della Value Stream Mapping per individuare più facilmente la fonte degli sprechi e realizzare uno scenario TO BE più accurato.
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Sousa, Sandra Isabel Ferreira de. "Heuristic approaches for a flexible job-shop scheduling problem." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17578.

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Mestrado em Engenharia e Gestão Industrial<br>Este trabalho aborda um novo tipo de problema de escalonamento que pode ser encontrado em várias aplicações do mundo-real, principalmente na indústria transformadora. Em relação à configuração do shop floor, o problema pode ser classificado como flexible job-shop, onde os trabalhos podem ter diferentes rotas ao longo dos recursos e as suas operações têm um conjunto de recursos onde podem ser realizadas. Outras características de processamento abordadas são: datas possíveis de início, restrições de precedência (entre operações de um mesmo trabalho ou entre diferentes trabalhos), capacidade dos recursos (incluindo paragens, alterações na capacidade e capacidade infinita) e tempos de setup (que podem ser dependentes ou independentes da sequência). O objetivo é minimizar o número total de trabalhos atrasados. Para resolver o novo problema de escalonamento proposto um modelo de programação linear inteira mista é apresentado e novas abordagens heurísticas são propostas. Duas heurísticas construtivas, cinco heurísticas de melhoramento e duas metaheurísticas são propostas. As heurísticas construtivas são baseadas em regras de ordenação simples, onde as principais diferenças entre elas dizem respeito às regras de ordenação utilizadas e à forma de atribuir os recursos às operações. Os métodos são designados de job-by-job (JBJ), operation-by-operation (OBO) e resource-by-resource (RBR). Dentro das heurísticas de melhoramento, a reassign e a external exchange visam alterar a atribuição dos recursos, a internal exchange e a swap pretendem alterar a sequência de operações e a reinsert-reassign é focada em mudar, simultaneamente, ambas as partes. Algumas das heurísticas propostas são usadas em metaheurísticas, nomeadamente a greedy randomized adaptive search procedure (GRASP) e a iterated local search (ILS). Para avaliar estas abordagens, é proposto um novo conjunto de instâncias adaptadas de problemas de escalonamento gerais do tipo flexible job-shop. De todos os métodos, o que apresenta os melhores resultados é o ILS-OBO obtendo melhores valores médios de gaps em tempos médios inferiores a 3 minutos.<br>This work addresses a new type of scheduling problem which can be found in several real-world applications, mostly in manufacturing. Regarding shop floor configuration, the problem can be classified as flexible job-shop, where jobs can have different routes passing through resources and their operations have a set of eligible resources in which they can be performed. The processing characteristics addressed are release dates, precedence constraints (either between operations of the same job or between different jobs), resources capacity (including downtimes, changes in capacity, and infinite capacity), and setup times, which can be sequence-dependent or sequence-independent. The objective is to minimise the total number of tardy jobs. To tackle the newly proposed flexible job-shop scheduling problem (FJSP), a mixed integer linear programming model (MILP) is presented and new heuristic approaches are put forward. Three constructive heuristics, five improvement heuristics, and two metaheuristics are proposed. The constructive heuristics are based on simple dispatching rules, where the main differences among them concern the used dispatching rules and the way resources are assigned. The methods are named job-by-job (JBJ), operation-by-operation (OBO) and resource-by-resource (RBR). Within improvement heuristics, reassign and external exchange aim to change the resources assignment, internal exchange and swap intend changing the operations sequence, and reinsert-reassign is focused in simultaneously changing both parts. Some of the proposed heuristics are used within metaheuristic frameworks, namely greedy randomized adaptive search procedure (GRASP) and iterative local search (ILS). In order to evaluate these approaches, a new set of benchmark instances adapted from the general FJSP is proposed. Out of all methods, the one which shows the best average results is ILS-OBO obtaining the best average gap values in average times lower than 3 minutes.
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Sousa, Thales Botelho de. "A implantação de sistemas APS sob a perspectiva de redes de inovação auto-organizadas." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-22072015-092003/.

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Esta dissertação tem como finalidade analisar a implantação de sistemas APS em empresas sob a perspectiva de redes de inovação auto-organizadas. Considera-se que a implantação do sistema APS representa uma inovação organizacional para a área de planejamento e controle da produção da empresa adquirente do software, pois comparado aos sistemas de planejamento e controle da produção predecessores, supre deficiências referentes às limitações de capacidade da empresa, flexibilidade na geração de estratégias de produção, disponibilização de prazos de entrega mais curtos e maior apoio aos processos de decisão. Considera-se também que o processo de implantação pode ser analisado sob a perspectiva de uma rede auto-organizada, formada pela empresa adquirente, implantadora e desenvolvedora do software, o que permite identificar os nós (empresas), ligações (relacionamentos), posições (atividades das empresas), fluxos tangíveis (recursos físicos) e fluxos intangíveis (troca de conhecimento e informações). A metodologia de pesquisa utilizada compreende um estudo bibliográfico para o embasamento teórico da temática proposta e de sete estudos de caso para a coleta de dados em campo. A análise e discussão do cruzamento entre as evidências teóricas e práticas visa identificar e sistematizar elementos para disponibilizar um modelo de referência para a implantação de sistemas APS. O desenvolvimento do modelo de referência foi orientado pela metodologia Enterprise Knowledge Development (EKD), e o mesmo foi avaliado por profissionais de empresas implantadoras e pesquisadores acadêmicos, a fim de verificar sua consistência e identificar possíveis melhorias.<br>This dissertation aims to analyze the APS systems implementation in companies under the selforganizing innovation networks perspective. It is considered that the APS systems implementation represents an organizational innovation in the area of production planning and control of the software\'s acquiring company, because compared to the predecessors production planning and control systems, supplies deficiencies relating to capacity constraints of the company, flexibility in the generation of production strategies and greater support to decisionmaking. It is also considered that the implementation process can be analyzed under the perspective of a self-organized network formed by the acquirer, implanter and developer companies of the software, which allows us to identify the nodes (companies), links (relationships), positions (activities of companies), tangible flows (physical resources) and intangible flows (exchange of knowledge and information). The research methodology used comprises a bibliographical study to the theoretical background of the proposed theme and seven case studies to data collection in the field. The analysis and discussion of the intersection between theoretical and practical evidences aims to identify and systematize elements for provide a reference model for the APS systems implementation. The development of the reference model was guided by the Enterprise Knowledge Development (EKD) methodology, and the model was assessed by implementing companies professionals and academic researchers in order to check its consistency and identify possible improvements.
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Turatti, Rangel. "Solução de problemas complexos de programação através de regras desenvolvidas em tecnologia APS." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/35618.

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O ambiente competitivo no qual as empresas estão inseridas é caracterizado por mudanças frequentes na demanda de seus produtos e por uma necessidade em reduzir custos. Para obter sucesso frente à concorrência, se faz necessário alcançar resultados através da melhoria do processo produtivo, oferecendo respostas mais rápidas a variações na demanda e com uma utilização adequada dos recursos produtivos. Neste contexto, a utilização de softwares Advanced Planning and Scheduling com regra personalizada de programação possibilita melhoria no planejamento e programação da empresa no sentido dos objetivos citados. A partir disso, este trabalho propõe uma sistemática de desenvolvimento e implantação de regras de programação personalizadas. Após, é apresentada aplicação de um caso prático no qual foram detalhadas todas as etapas propostas na sistemática, desde o entendimento das necessidades da empresa até a avaliação dos resultados obtidos.<br>The competitive environment in which firms operate is characterized by frequent changes in product demand and a necessity to reduce costs. To succeed against the competition, it is necessary to gain competitive advantage by improving the production process, providing faster responses to changes in demand and proper use of productive resources. In this context, the use of Advanced Planning and Scheduling software with custom programming rule allows improved planning and programming company towards the objectives mentioned. This study proposes a systematic development and deployment of custom programming rules, next it is presented a case study which detail the stages proposed in the systematic, from the understanding of the business requirement until the evaluation of results.
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Žákovská, Martina. "Optimalizace procesu plánování a rozvrhování výroby." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224696.

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This diploma thesis is focused on process of production planning and scheduling in company Meopta – optics, Ltd., in connection with the possibility of its optimization. The basis of the thesis is analysis of the current status of planning and production management, evaluation of theoretical approaches dealing with issues of production planning and solution proposal optimizing the existing processes. The diploma thesis was elaborated with the support of Head of operative planning in Meopta - Optics Ltd.
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Books on the topic "Advanced planning and scheduling"

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Günther, Hans-Otto, and Paul van Beek, eds. Advanced Planning and Scheduling Solutions in Process Industry. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05607-3.

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Mauergauz, Yuri. Advanced Planning and Scheduling in Manufacturing and Supply Chains. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9.

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Mario, Tucci, Garetti Marco, Bettini Gianni, International Federation for Information Processing. Working Group 5.7 on Integrated Production Management. Special Interest Group on Advanced Techniques in Production Planning & Control., Università di Firenze. Dipertimento di energetica "Sergio Stecco". Sezione impianti e tecnologie industriali., and Politecnico di Milano. Dipartimento di economia e produzione., eds. Proceedings of the third workshop of the IFIP WG 5.7 Special Interest Group on "Advanced Techniques in Production Planning & Control": 24-25 February 2000, Florence, Italy. Firenze University Press, 2002.

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Hinze, Jimmie. Construction planning and scheduling. 2nd ed. Pearson/Prentice Hall, 2004.

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Uyar, A. Sima, Ender Ozcan, and Neil Urquhart, eds. Automated Scheduling and Planning. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39304-4.

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Construction planning and scheduling. Prentice Hall, 1998.

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Construction planning and scheduling. 4th ed. Pearson Prentice Hall, 2012.

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Pine, Randall. Transit scheduling: Basic and advanced manuals. National Academy Press, 1998.

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1952-, Levitt Joel, ed. Maintenance planning, scheduling, and coordination. 2nd ed. Industrial Press, Inc., 2010.

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1952-, Levitt Joel, ed. Maintenance planning, scheduling, and coordination. Industrial Press, 2001.

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Book chapters on the topic "Advanced planning and scheduling"

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Stadtler, Hartmut. "Production Planning & Scheduling." In Supply Chain Management und Advanced Planning. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14131-7_11.

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Stadtler, Hartmut. "Production Planning and Scheduling." In Supply Chain Management and Advanced Planning. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-10142-1_11.

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Stadtler, Hartmut. "Production Planning and Scheduling." In Supply Chain Management and Advanced Planning. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04215-1_10.

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Zijm, Henk, and Marco Schutten. "Advanced Production Planning and Scheduling Systems." In Operations, Logistics and Supply Chain Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92447-2_19.

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Mauergauz, Yuri. "Examples of Advanced Planning Models." In Advanced Planning and Scheduling in Manufacturing and Supply Chains. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9_7.

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Pinedo, Michael L. "Advanced Concepts in Systems Design." In Planning and Scheduling in Manufacturing and Services. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0910-7_15.

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Günther, Hans-Otto, and Paul van Beek. "Advanced planning and scheduling in process industry." In Advanced Planning and Scheduling Solutions in Process Industry. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05607-3_1.

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Richter, Marco, and Volker Stockrahm. "Scheduling of Synthetic Granulate." In Supply Chain Management and Advanced Planning. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-10142-1_19.

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Richter, Marco, and Volker Stockrahm. "Scheduling of Synthetic Granulate." In Supply Chain Management and Advanced Planning. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04215-1_17.

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van Wezel, Wout, and Jan Riezebos. "Case Study: Advanced Decision Support for Train Shunting Scheduling." In Behavioral Operations in Planning and Scheduling. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13382-4_16.

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Conference papers on the topic "Advanced planning and scheduling"

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Kruse, G. "Advanced planning and scheduling: beyond MRPII." In IEE Seminar Customer Focused Manufacturing: Survival of the Fittest. IEE, 1999. http://dx.doi.org/10.1049/ic:19990806.

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Weiwei Ning, Huawei Zhong, Yi Lei, and Meng An. "Constraint engine in advanced planning and scheduling." In 2008 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2008. http://dx.doi.org/10.1109/ical.2008.4636284.

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Yang, Junyu, and Wencheng Tang. "Hybrid Genetic Algorithm for Advanced Planning and Scheduling." In 2010 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icece.2010.285.

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Chua, T. J., F. Y. Wang, T. X. Cai, and X. F. Yin. "A Heuristics-based Advanced Planning and Scheduling System with Bottleneck Scheduling Algorithm." In 2006 IEEE Conference on Emerging Technologies and Factory Automation. IEEE, 2006. http://dx.doi.org/10.1109/etfa.2006.355437.

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Pujiyanta, Ardi, Lukito Edi Nugroho, and Widyawan. "Planning and Scheduling Jobs on Grid Computing." In 2018 International Symposium on Advanced Intelligent Informatics (SAIN). IEEE, 2018. http://dx.doi.org/10.1109/sain.2018.8673372.

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Bhawarkar, N. B., C. M. Jadhao, and S. S. Mhaske. "Multiobjective Advanced Planning and Scheduling using iterative Genetic Algorithm." In 2016 International Conference on Computing Communication Control and automation (ICCUBEA). IEEE, 2016. http://dx.doi.org/10.1109/iccubea.2016.7860015.

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Dorne, Raphael, Chris Voudouris, and Gilbert Owusu. "An Advanced Planning and Scheduling Platform for Service Enterprise." In 2007 Innovations in Information Technologies (IIT). IEEE, 2007. http://dx.doi.org/10.1109/iit.2007.4430392.

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Errington, J. "Advanced planning and scheduling (APS): a powerful emerging technology." In IEE Colloquium on Next Generation I.T. in Manufacturing. IEE, 1997. http://dx.doi.org/10.1049/ic:19971043.

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Jarvis, P. "Best practice benchmarks for planning and scheduling." In 4th International Conference on Advanced Factory Automation (Factory 2000). IEE, 1994. http://dx.doi.org/10.1049/cp:19940876.

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Steger-Jensen, Kenn, and Hans-Henrik Hvolby. "Analysis of the planning and scheduling functionality in APS systems." In Intelligent Systems and Advanced Manufacturing, edited by Angappa Gunasekaran and Yahaya Y. Yusuf. SPIE, 2001. http://dx.doi.org/10.1117/12.443133.

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Reports on the topic "Advanced planning and scheduling"

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Curry, Michael, and David A. Castanon. New World Vistas: Planning and Scheduling Planning and Scheduling With Contingencies. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada388207.

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Castanon, David A., David A. Logan, Dimitri P. Bertsekas, and Stephen D. Patek. Planning and Scheduling: Dynamic Assignment and Scheduling with Contingencies. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada342494.

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Etherington, David W., and Matthew L. Ginsberg. A Comprehensive Approach to Planning and Scheduling. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363921.

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Safavi, Ali. Planning and Scheduling of Software Manufacturing Projects. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada237033.

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Ang, Jim, Brian Carnes, Thuc Hoang, and Manuel Vigil. Advanced Technology System Scheduling Governance Model. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1236125.

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Cevallos, Fabian. Training Manual for Transit Service Planning and Scheduling. University of South Florida, 2015. http://dx.doi.org/10.5038/cutr-nctr-rr-2015-11.

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Miller, B. Operator scheduling at the Advanced Light Source. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/291153.

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Hall, William G., Howard K. Hung, and Robert E. Chapman. Paratransit advanced routing and scheduling system documentation :. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3174.

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Hung, Howard K., William G. Hall, and Robert E. Chapman. Paratransit advanced routing and scheduling system documentation :. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3178.

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Jarvis, James P., and Melissa R. Bowers. Hierarchical Production Planning and Scheduling in the Apparel Industry. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada298601.

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