Relevant bibliographies by topics / Advanced planning and scheduling system

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  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 system'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "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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Dissertations / Theses on the topic "Advanced planning and scheduling system"

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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.
Master of Science
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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.
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.
published_or_final_version
Industrial and Manufacturing Systems Engineering
Doctoral
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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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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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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Baldi, Murilo Melhado. "Proposta de um modelo de programação estruturado a partir das particularidades do fluxo de produção de um sistema de manufatura celular." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-23042018-094809/.

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A proposta de um procedimento de programação da produção, estruturado a partir das particularidades do fluxo de produção de um sistema de manufatura celular, descrita neste trabalho, é resultado do processo de investigação da relação do uso de ferramentas computacionais, especialistas em programação da produção, envolvendo práticas de controle de estoque no abastecimento de um sistema de manufatura celular. Deste modo, o conteúdo deste trabalho trata das principais restrições inerentes a relação entre os diferentes parâmetros e variáveis do processo de fabricação deste tipo de sistema, os quais interferem diretamente na eficácia e eficiência de um sistema de programação da produção, além de enfatizar os resultados efetivos que podem ser alcançados com o uso de um software APS, assim como uma lógica de programação, com ênfase na minimização do Lead Time Offsetting. Neste contexto, além do resultado efetivo que este trabalho demonstra, a partir do uso de um sistema de programação da produção em um ambiente de manufatura celular, há, inerentemente, o destaque à relevância do tema de pesquisa, estudado na literatura, devido ao crescente aumento da complexidade dos sistemas produtivos e, consequentemente, da dificuldade de análises mais precisas do impacto que as variáveis de fluxo, como por exemplo, tempos de abastecimento e movimentação, tempos de setup e os respectivos roteiros de fabricação, podem causar no desempenho dos processos no chão de fábrica. Quanto ao método de pesquisa o estudo aborda o tema, quanto à aplicação de um modelo de programação da produção estruturado, com base no escopo da proposta, através de um estudo de caso de uma empresa fornecedora de componentes do setor de automotivo, envolvendo pesquisa de campo com acesso a documentos do processo de fabricação e da estrutura de materiais do mix de produtos relacionados, além do contato direto com os atores do processo de fabricação a partir de reuniões periódicas durante o processo de concepção do procedimento. A partir da construção do modelo de programação, cenários são gerados de modo a comparar a performance dos mesmos em um ambiente produtivo real, sendo realizadas alterações de variáveis no fluxo produtivo, a fim de obter resultados interessantes e satisfatórios, utilizando-se de parâmetros como tamanho de lote e makespan como indicadores de performance.
The proposal of a production programming procedure, built from the particularities of a cellular manufacturing system\'s production flow, described in this work, is the result of a investigation process about the relation of using computational tools, specialized in production programming, involving practices of inventory control in a supply system of a manufacturing cell. Thus, the content of this work deals with the main constraints inherent in the relationship between different parameters and variables of the manufacturing process, regarding this type of production system, that directly interferes in the efficiency of a production scheduling system, emphasizing the effective results that can be achieved through the use of an APS software and programming logic, with emphasis on minimizing Lead Time Offsett. Thereby, in addition to the effective result that this work demonstrates about the use of a production programming system, in a cellular manufacturing environment, we should also emphasize the topic reserchead, and studied, in this work due to the increasing complexity of manufacturing systems and environments as well as the difficulty of more precise analyzes regarding the impact of production flow variables, such as supply and movement times, setup times and the variability offered by manufacturing routes, which can cause underperformance of production processes in a factory. About the research method, this study approaches the subject, regarding the application of a programming model, based on the scope of the initial proposal, through a case study of a company that supplies automotive componentes, in the brazilian automobile sector. This study encompasses field research with access to documents of the manufacturing process as well as the bill of materials of related products, also, direct contact with the actors of the manufacturing process through periodic meetings during the procedure design process. Regarding the results achieved by this work, it is important to highlight the creation of different cenarios and comparisons that were made, regarding the use of different parameters and variables, such as makespan and lot sizing, so that the optimal experience could be achived, through the use of a customized programming model developed, exclusively, for this research.
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Kang, Dilbir. "A capacity planning system for bespoke manufacturing." Thesis, University of Huddersfield, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293378.

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The majority of the commercially available systems developed for capacity planning have been designedf or organisationsw hich are involved with make-to-stockm anufacturingT. heses ystemsa re difficult to implementi n bespokem anufacturing( make-to-ordero) rganisationss ince they are unable to accommodateth e requirementso f the volatile productione nvironment. This thesisi dentifies the uniqueo peratingc haracteristicos f the manufacturinge nvironmenta ssociated with bespokem anufacturingw hich caused ifficulty with the implementationo f commerciallya vailable systemsT. he findings from this investigationa re usedt o formulatea design for a capacityp lanning systemw hich fulfils the unique requirementso f the bespokem anufacturinge nvironment. The proposed system executes the capacity planning function at two separate levels of detail by integrating rough cut capacity planning with finite capacity planning. The two planning mechanisms are also integrated with a shop floor data collection system which has been designed for the assembly environment. Data interaction is achieved between the capacity planning modules and the shop floor data collection system via an Interface ManagemenSt ystem which ensurest hat the scheduled ata containedi n the individual systemsr emainsi n synchronisationa t all times. The capacity planning system also includes the design and development of a large scale display facility which is able to accommodateth e large volume of scheduled ata required to be viewed for finite capacity planning. This facility has been designed using multiple co-ordinated screens which are linked by a local area network. A data interface and parallel processing facility is incorporated in the design which enable the processing of a software application to be distributed over multiple nodes.
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Khwandah, Sinan. "System optimisation and radio planning for future LTE-advanced." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/13822.

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This work is related to wireless communication. In this Thesis three main issues are addressed for future cellular networks: power consumption, interference and mobility. These issues continue to be a burden on the system’s performance as long as technology keeps evolving. In the presented chapters, the focus was to introduce greater intelligence to the LTE system algorithms and bring to them a dynamic and self-organizing approach. The first approach concerns power consumption in wireless terminals. The currently applied solution to save energy is the DRX mechanism. It organizes the time when the terminal wakes up and starts receiving data, and when it goes into sleep mode in order to save its battery power. The current DRX is described as static or fixed which makes its parameters unsuitable for the nature of the bursty traffic. In this work an adaptive DRX mechanism is proposed and evaluated as the wireless terminal battery saving algorithm. The second approach is co-channel interference mitigation. To increase the system’s capacity and avoid spectrum scarcity, small cells such as Femtocells are deployed and operate on the same frequency bands as the Macrocell. Although these small nodes increase the system capacity, however, the challenges will be in the femtocells planning and management in addition to the interference issues. Here a dynamic interference cancellation approach is presented to enable the Femtocell to track the allocated resources to the Macro-users, and to avoid using them. The third approach concerns mobility management in heterogeneous networks. The wireless terminal may have different mobility levels during handover which increases the handover failures due to failure in handover commands and aging of the reported parameters. This issue is presented in detail with the aim to avoid performance degradation and improve the reporting mechanisms during fast mobility levels. For this regard the presented method proposes more cooperation between the serving cell and the end-user so that the large amount of overhead and measurement are reduced. Simulations with different configurations are conducted to present the results of the proposed models. Results show that the proposed models bring improvements to the LTE system. The enhanced self-organized architecture in the three presented approaches performs well in terms of power saving, dynamic spectrum utilization by Femtocells, and mitigation of sudden throughput degradation due to the serving cell’s downlink signal outage during mobility.
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Gowda, Shivaprasad Chethan, and Joe Paul. "An efficient scheduling and planning system to increase productivity in Third Party logistics. : System to provide alternative planning and scheduling for unexpected situations." Thesis, Jönköping University, JTH, Produktionsutveckling, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52298.

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This thesis concentrates on implementing an efficient scheduling and planning system for a Third-Party Logistics Company as a 3PL has more restrictions and parameters on how their work gets carried out on daily basis. The problems associated with the case company is that the company has poor scheduling and planning system which is leading to decrease in productivity and increase in backlog of work. Due to lag in information flow between the stakeholders, planner is unable to predict the different situation. In this technological era, it is important to enhance planning and scheduling which directly reflects on productivity. On understanding the present problem based on interview with the traffic department, questionnaires to the shopfloor employees and observations made, authors selected particular framework by referring different journal articles which led to find the solution for the problem. This report gives the solution for enhanced scheduling system by integration of digitalization. Digitalization helps in reaching the updated information faster which is required for planning and scheduling process. An efficient scheduling and Planning system always help in a smooth functioning of any production facility. It keeps the work to be done on track and helps the employee in finishing the task for the day in the best possible way. This thesis is carried out and conclusion is achieved by solving the existing problem for the case company. This system may further enhance by incorporating RFID system which updates the information faster with more data required for planning and scheduling system.
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Books on the topic "Advanced planning and scheduling system"

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Günther, Hans-Otto, and Paul van Beek, eds. Advanced Planning and Scheduling Solutions in Process Industry. Berlin, Heidelberg: 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. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9.

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Boyle, Daniel K. Controlling system costs: Basic and advanced scheduling manuals and contemporary issues in transit scheduling. Washington, D.C: Transportation Research Board, 2009.

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Boyle, Daniel K., Bonnie Nelson, John Pappas, Phillip Boyle, David Sharfarz, and Howard Benn. Controlling System Costs: Basic and Advanced Scheduling Manuals and Contemporary Issues in Transit Scheduling. Washington, D.C.: National Academies Press, 2009. http://dx.doi.org/10.17226/14257.

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Manufacturing systems analysis: With application to production scheduling. Englewood Cliffs, N.J: Yourdon Press, 1990.

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Ntuen, Celestine A. An expert system for planning and scheduling in a telerobotic environment: Final report. Hampton,Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Environmental modeling for sustainable regional development: System approaches and advanced methods. Hershey, PA: Information Science Reference, 2011.

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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: Firenze University Press, 2002.

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National Forum on Education Statistics (U.S.). Traveling through time: The Forum guide to longitudinal data systems : advanced LDS usage. Alexandria, VA: U.S. Department of Education, 2011.

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Blau, Margaret E. A personnel scheduling management system for Washington State Department of Transportation construction field offices: An investigation of current practices, needs and design specifications : final report, research project Y 3399, task 35. [Olympia?, Wash.]: Washington State Dept. of Transportation, Planning, Research and Public Transportation Division, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1988.

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Book chapters on the topic "Advanced planning and scheduling system"

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Zijm, Henk, and Marco Schutten. "Advanced Production Planning and Scheduling Systems." In Operations, Logistics and Supply Chain Management, 417–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92447-2_19.

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Pinedo, Michael L. "Advanced Concepts in Systems Design." In Planning and Scheduling in Manufacturing and Services, 373–97. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0910-7_15.

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García-Flores, Rodolfo, and Xue Zhong Wang. "A multi-agent system for chemical supply chain simulation and management support." In Advanced Planning and Scheduling Solutions in Process Industry, 155–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05607-3_7.

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Berning, Guido, Marcus Brandenburg, Korhan Gürsoy, Vipul Mehta, and Franz-Josef Tölle. "An integrated system solution for supply chain optimization in the chemical process industry." In Advanced Planning and Scheduling Solutions in Process Industry, 229–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05607-3_10.

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Ovacik, Irfan M. "Advanced Planning and Scheduling Systems: The Quest to Leverage ERP for Better Planning." In International Series in Operations Research & Management Science, 33–43. New York, NY: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6485-4_3.

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Kelleher, Gerald. "The application of reason maintenance systems in planning and scheduling." In Advanced Topics in Artificial Intelligence, 208–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55681-8_37.

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Betge, David, and Rainer Leisten. "Aspekte von Aggregation und Disaggregation in Advanced Planning and Scheduling-Systemen." In Logistik Management, 347–61. Wiesbaden: Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-82165-2_27.

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Skołud, Bożena, Agnieszka Szopa, and Krzysztof Kalinowski. "Concurrent Planning and Scheduling of Heterogeneous Production System. Case Study." In Advances in Intelligent Systems and Computing, 366–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20055-8_35.

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Maheut, J., J. P. Garcia-Sabater, J. J. Garcia-Sabater, and J. Marin-Garcia. "Coordination Mechanism for MILP Models to Plan Operations Within an Advanced Planning and Scheduling System in a Motor Company: A Case Study." In Annals of Industrial Engineering 2012, 245–53. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5349-8_29.

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Stadtler, Hartmut. "Production Planning & Scheduling." In Supply Chain Management und Advanced Planning, 231–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14131-7_11.

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Conference papers on the topic "Advanced planning and scheduling system"

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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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Yuan, X., Y. W. Chen, B. Liu, and X. G. Ming. "Advanced Planning and Scheduling System Based on Multi-resource Closed-loop Management." In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2020. http://dx.doi.org/10.1109/ieem45057.2020.9309935.

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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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Voudourist, Christos, Gilbert Owusu, Raphael Dorne, and Ali McCormick. "FOS: An Advanced Planning and Scheduling Suite for Service Operations." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320668.

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Zhang, Haipeng, and Mitsuo Gen. "Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system." In the 8th annual conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1143997.1144293.

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Manita, Ghaith, and Ouajdi Korbaa. "Short term planning for cyclic scheduling: A new approach." In 2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET). IEEE, 2019. http://dx.doi.org/10.1109/aset.2019.8871040.

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Li, Sijie, and Lijun Ma. "A forecast netting and consumption model for advanced planning and scheduling." In 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM). IEEE, 2010. http://dx.doi.org/10.1109/iclsim.2010.5461422.

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Liu, Liang, and Er-Shi Qi. "Research of Production Logistics System in Car Factory Based on Advanced Planning and Scheduling." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2881.

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Pallathadka, Harikumar, Ajay Poddar, Rosario Mercedes Huerta Soto, Luigi Pio Leonardo Cavaliere, Amrita Baid More, and R. Regin. "Production Planning and Scheduling of Mediating Effect of Electronic Applications." In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9441711.

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Cetiner, Sacit M., David L. Fugate, Roger A. Kisner, Michael D. Muhlheim, and Richard T. Wood. "Development of a Supervisory Control System Concept for Advanced Small Modular Reactors." In ASME 2014 Small Modular Reactors Symposium. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smr2014-3403.

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Abstract:
Small modular reactors (SMRs) can provide the United States with a safe, sustainable, and carbon-neutral energy source. Because of their small size and, in many cases, simplified nuclear island configurations, it is expected that capital costs will be less for SMRs compared to that of large, Generation III+ light-water reactors. Advanced SMRs (AdvSMRs), which use coolants other than water as the primary heat transport medium, introduce several passive safety concepts and controls features that further reduce the complexity of primary system designs by eliminating redundant components and systems. Under U.S. Department of Energy (DOE) Office of Nuclear Energy (NE), the Supervisory Control of Multi-Modular SMR Plants project was established to enable innovative control strategies and methods to supervise multi-unit plants, accommodate shared systems, identify opportunities to increase the level of automation, define economic metrics based on the relationship between control and staffing levels, and permit flexible co-generation operational regimes. This paper documents current findings from the Supervisory Control project. Specifically, it defines and documents strategies, functional elements, and an architectural structure for supervisory control of a representative generic AdvSMR plant. More specifically, this research advances the state-of-the art by incorporating decision making into the supervisory control system architectural layers through the introduction of tiered taxonomy of plant systems and subsystems. The proposed architecture has the features of planning and scheduling, analyzing plant status, diagnosing problems as they develop and predicting potential future problems, making decisions based on these features, and generating validated commands to lower control layers in the architecture.
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Reports on the topic "Advanced planning and scheduling system"

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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), June 2015. http://dx.doi.org/10.2172/1236125.

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

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