Relevant bibliographies by topics / Manufacturing processes. Production planning. Production scheduling

Contents

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

Academic literature on the topic 'Manufacturing processes. Production planning. Production scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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

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

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Reducing environmental impacts and resource consumption in manufacturing processes is one of the important issues in green manufacturing. However, this attention has focused primarily on the activities of the design and the process planning, and the production scheduling activity has been overlooked especially for discrete manufacturing systems such as machining workshop. This paper presents a framework of the scheduling models in machining workshop that integrated resource and environmental considerations into production scheduling activities. The scheduling framework builds upon the schematic model and the analysis of resource and environmental dimensions of machining processes, and is used to guide the scheduling model construction which seeks to reduce resource consumption and environmental impacts at the operational scheduling level. The example is presented to demonstrate the application of the framework.
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Kolus, Ahmet, Ahmed El-Khalifa, Umar M. Al-Turki, and Salih Osman Duffuaa. "An integrated mathematical model for production scheduling and preventive maintenance planning." International Journal of Quality & Reliability Management 37, no. 6/7 (April 21, 2020): 925–37. http://dx.doi.org/10.1108/ijqrm-10-2019-0335.

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PurposeThe integration between production scheduling and maintenance planning is attracting the attention of planners in the manufacturing sector with the increase in global competitiveness. Researchers have developed various methodologies to optimize integrated decisions in planning and scheduling, including mathematical modeling under different conditions. This paper considers the simultaneous scheduling of production and maintenance activities with the objective of minimizing the expected total tardiness cost on a single machine (production line).Design/methodology/approachScheduling in these two types of activities, production and maintenance, are traditionally done independently, causing conflicts between the two functional areas. To eliminate or at least reduce conflicts, the scheduling of both activities can be done simultaneously with the objective of meeting due dates and maintaining maximum machine availability. In this paper, a mathematical model for an integrated problem is developed and demonstrated by an example.FindingsThe proposed integrated model shows a high potential for significant improvements in performance with respect to the cost of tardiness in delivery and machine availability. This is demonstrated by an example showing an average savings of approximately 40%.Originality/valueThis substantial saving is owed to the integration of two important decision-making processes in manufacturing systems. Although the integrated problem is complex and difficult to solve, the fact that it is savings driven makes the problem of interest to researchers and practitioners in manufacturing.
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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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Tanizaki, Takashi, Hideki Katagiri, and António Oliveira Nzinga René. "Scheduling Algorithms Using Metaheuristics for Production Processes with Crane Interference." International Journal of Automation Technology 12, no. 3 (May 1, 2018): 297–307. http://dx.doi.org/10.20965/ijat.2018.p0297.

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This paper proposes scheduling algorithms using metaheuristics for production processes in which cranes can interfere with each other. There are many production processes that involve cranes in manufacturing industry, such as in the steel industry, so a general purpose algorithm for this problem can be of practical use. The scheduling problem for this process is very complicated and difficult to solve because the cranes must avoid interfering with each other plus each machine has its own operational constraints. Although several algorithms have been proposed for a specific problem or small-scale problem, general purpose algorithms that can be solved in real time (about 30 minutes or less) in the company’s production planning work have not been developed for large-scale problems. This paper develops some metaheuristic algorithms to obtain suboptimal solutions in a short time, and it confirms their effectiveness through computer experiments.
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Kalinowski, Krzysztof, Cezary Grabowik, Grzegorz Ćwikła, and Witold Janik. "The Graph of Operations Planning Sequence of a Production Order for Scheduling with Mixed Planning Strategies and Alternatives." Applied Mechanics and Materials 809-810 (November 2015): 1420–25. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1420.

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The paper presents the most important issues related to the scheduling of production orders in real manufacturing systems. In the elaborated method an and/or type graph of operations planning sequence of a production order is proposed for modelling the production system load. In a single structure the graph takes into account alternative routes of a production order realisation and the precedence constraints in presence of complex, hierarchical structures of processes. Two modelling ways of that process using the "operation on the edge" or "operation on the node" notation are also presented. In the developed method scheduling strategies, which have a major impact on the order of placing operations in the schedule and handling of production lots are also considered. By a state space graph representation of scheduling problem, using graph theory, it can be possible to analyze the structure and complexity of both the modelling problem and the graph search techniques.
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Bin, Zeng, and Jing Zhang. "Design of a Resource Scheduling Tool for Production Project Management." Applied Mechanics and Materials 220-223 (November 2012): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.165.

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Production planning is clearly needed in all manufacturing systems, and that is also the case for job shops. When dealing with a small number of products or jobs repetitive scheduling becomes a major issue. In this situation, the same tasks are performed sequentially and repeated from job to job. To help with this problem, a resource scheduling tool is developed that would work alongside Microsoft Project. This tool should act as a front end to Microsoft Project and allow for the creation of a schedule with a minimal amount of work for the scheduling manager. Due to the repetitive nature of production processes, the tool should be able to eliminate most of the manual scheduling currently done exclusively in MS Project.
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Alvandi, Samira, Wen Li, and Sami Kara. "An Integrated Simulation Optimisation Decision Support Tool for Multi-Product Production Systems." Modern Applied Science 11, no. 6 (April 23, 2017): 56. http://dx.doi.org/10.5539/mas.v11n6p56.

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Over the past decades, the rising energy prices and imposing environmental regulations have motivated manufacturers to improve the energy efficiency of their manufacturing processes. Manufacturers need to also consider energy efficiency in addition to classical performance measures. The additional performance dimension (energy-related indicators) significantly increases the complexity of classical production planning problems (e.g. scheduling), already known as NP-hard problem).To overcome the inherited complexity, an integrated simulation-optimization framework is proposed. The proposed approach tackles scheduling problem in a multi-product/multi-machine manufacturing environment and optimizes several production objectives simultaneously. A case study is presented to demonstrate the applicability of the proposed approach in a real-life industrial facility.
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Yang, Zhixin, Wei Xu, Pak-Kin Wong, and Xianbo Wang. "Modeling of RFID-Enabled Real-Time Manufacturing Execution System in Mixed-Model Assembly Lines." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/575402.

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To quickly respond to the diverse product demands, mixed-model assembly lines are well adopted in discrete manufacturing industries. Besides the complexity in material distribution, mixed-model assembly involves a variety of components, different process plans and fast production changes, which greatly increase the difficulty for agile production management. Aiming at breaking through the bottlenecks in existing production management, a novel RFID-enabled manufacturing execution system (MES), which is featured with real-time and wireless information interaction capability, is proposed to identify various manufacturing objects including WIPs, tools, and operators, etc., and to trace their movements throughout the production processes. However, being subject to the constraints in terms of safety stock, machine assignment, setup, and scheduling requirements, the optimization of RFID-enabled MES model for production planning and scheduling issues is a NP-hard problem. A new heuristical generalized Lagrangian decomposition approach has been proposed for model optimization, which decomposes the model into three subproblems: computation of optimal configuration of RFID senor networks, optimization of production planning subjected to machine setup cost and safety stock constraints, and optimization of scheduling for minimized overtime. RFID signal processing methods that could solve unreliable, redundant, and missing tag events are also described in detail. The model validity is discussed through algorithm analysis and verified through numerical simulation. The proposed design scheme has important reference value for the applications of RFID in multiple manufacturing fields, and also lays a vital research foundation to leverage digital and networked manufacturing system towards intelligence.
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Ba, Li, Yan Li, Mingshun Yang, Xueliang Wu, Yong Liu, Xinqin Gao, and Zhihong Miao. "A Mathematical Model for Multiworkshop IPPS Problem in Batch Production." Mathematical Problems in Engineering 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/7948693.

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Integrated Process Planning and Scheduling (IPPS) problem is an important issue in production scheduling. Actually, there exit many factors affecting scheduling results. Many types of workpieces are commonly manufactured in batch production. Moreover, due to differences among process methods, all processes of a workpiece may not be performed in the same workshop or even in the same factory. For making IPPS problem more in line with practical manufacturing, this paper addresses an IPPS problem with batches and limited vehicles (BV-IPPS). An equal batch splitting strategy is adopted. A model for BV-IPPS problem is established. Makespan is the objective to be minimized. For solving the complex problem, a particle swarm optimization (PSO) with a multilayer encoding structure is proposed. Each module of the algorithm is designed. Finally, case studies have been conducted to validate the model and algorithm.
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Dissertations / Theses on the topic "Manufacturing processes. Production planning. Production scheduling"

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El-Sayed, Jacqueline Johnson. "Multi-objective optimization of manufacturing processes design /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841282.

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Srihari, Krishnaswami. "Leadtime estimation in a manufacturing shop environment." Thesis, Virginia Tech, 1985. http://hdl.handle.net/10919/45684.

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This research examines the relationships between the independent variables; lot size, sequencing rule, and shop type/product mix and the â dependent variables; work-in-process, machine utilization, flowtime, and leadtime. These relationships have seldom been investigated by academicians. There is no satisfactory method available in the literature today that can be used to accurately estimate leadtime. This research developed methods for leadtime estimation. A leadtime estimation method would be invaluable to the production planner, for it would enable the person to decide when the job should be released to the shop.

The experimental system considered in this research is an eight machine shop. Three different shop types, a jobshop, modified flowshop, and a flowshop, were modelled. Each shop type had eight different product types being manufactured. Two different sequencing rules, SPT and FIFO, were used. The entire system was analyzed via simulation on an IBM P.C. using SIMAN system simulation concepts.
Master of Science

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Yilmaz, Tuba. "Dynamic resource allocation in manufacturing and service industries." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/51729.

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In this thesis, we study three applications of dynamic resource allocation: the first two consider dynamic lead-time quotation in make-to-order (MTO) systems with substitutable products and order cancellations, respectively; and the third application is a manpower allocation problem with job-teaming constraints. Matching supply and demand for manufacturing and service industries has been a fundamental focus of operations management literature, which concentrated on optimizing or improving supply-side decisions since demand has generally been assumed to be exogenously determined. However, recent business trends and advances in consumer behavior modeling have shown that demand for goods and services can clearly be shaped by various decisions that a firm makes, such as price and lead-time. In fact, competition between companies is no longer mainly based on price or product features; lead-time is one of the strategic measures to evaluate suppliers. In MTO manufacturing or service environments that aim to satisfy the customers' unique needs, lead-time quotation impacts the actual demand of the products and the overall profitability of the firm. In the first two parts of the thesis, we study the dynamic lead-time quotation problem in pure MTO (or service) systems characterized by lead-time sensitive Poisson demand and exponentially distributed service times. We formulate the problem as an infinite horizon Markov decision process (MDP) with the objective of maximizing the long-run expected average profit per unit time, where profits are defined to specifically account for delays in delivery of the customer orders. We study dynamic lead-time quotation problem in two particular settings; one setting with the possibility of demand substitution and another setting with order cancellations. The fundamental trade-off in lead-time quotation is between quoting short lead-times and attaining them. In case of demand substitution, i.e., in presence of substitutable products and multiple customer classes with different requirements and margins, this trade-off also includes capacity allocation and order acceptance decisions. In particular, one needs to decide whether to allocate capacity to a low-margin order now, or whether to reserve capacity for potential future arrivals of high-margin orders by considering customer preferences, the current workload in the system, and the future arrivals. In the case of order cancellations, one needs to take into account the probability of cancellation of orders currently in the system and quote lead-times accordingly; otherwise quotation of a longer lead-time may result in the loss of customer order, lower utilization of resources, and, in turn, reduced in profits. In Chapter 2, we study a dynamic lead-time quotation problem in a MTO system with two (partially) substitutable products and two classes of customers. Customers decide to place an order on one of the products or not to place an order, based on the quoted lead-times. We analyze the optimal profit and the structure of the optimal lead-time policy. We also compare the lead-time quotes and profits for different quotation strategies (static vs. dynamic) with or without substitution. Numerical results show that substitution and dynamic quotation have synergetic effects, and higher benefits can be obtained by dynamic quotation and/or substitution when difference in product revenues or arrival rates, or total traffic intensity are higher. In Chapter 3, we study a dynamic lead-time quotation problem in a MTO system with single product considering the order cancellations. The order cancellations can take place during the period that the order is being processed (either waiting or undergoing processing), or after the processing is completed, at the delivery to the customer. We analyze the behavior of optimal profit in terms of cancellation parameters. We show that the optimal profit does not necessarily decrease as cancellation rate increases through a numerical study. When the profit from a cancelled order, arrival rate of customers, or lead-time sensitivity of customers are high, there is a higher probability that optimal profit increases as cancellation rate increases. We also compare the cancellation scenarios with the corresponding no-cancellation scenarios, and show that there exists a cancellation scenario that is at least as good in terms of profit than a no-cancellation scenario for most of the parameter settings. In Chapter 4, we study the Manpower Allocation Problem with Job-Teaming Constraints with the objective of minimizing the total completion time of all tasks. The problem arises in various contexts where tasks require cooperation between workers: a team of individuals with varied expertise required in different locations in a business environment, surgeries requiring different composition of doctors and nurses in a hospital, a combination of technicians with individual skills needed in a service company. A set of tasks at random locations require a set of capabilities to be accomplished, and workers have unique capabilities that are required by several tasks. Tasks require synchronization of workers to be accomplished, hence workers arriving early at a task have to wait for other required workers to arrive in order to start processing. We present a mixed integer programming formulation, strengthen it by adding cuts and propose heuristic approaches. Experimental results are reported for low and high coordination levels, i.e., number of workers that are required to work simultaneously on a given task.
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Nicholls, Stuart Guy. "Manufacturing Order Execution: An investigation into a means of implementing new production planning tools at Synlait Milk Ltd." Thesis, University of Canterbury. Master of Engineering Management, 2014. http://hdl.handle.net/10092/8939.

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Implementation of production planning and scheduling systems at Synlait Milk Ltd. for its process manufacturing plant required a project be carried out. Socio-technical considerations as well as ease-of-use for the end-users of a planning system were found to be of the utmost importance in the implementation of a production planning and control system. Implementation options for the systems were weighed and a viable solution found.
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Gabriel, Walter Luiz Constante. "Gerenciamento do tempo de espera: um estudo de caso de tomada de decisões em ambiente de manufatura sob encomenda." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/96/96132/tde-28072009-113932/.

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Este estudo de caso realizado em indústria de equipamentos industriais sob encomenda pretende abordar aspectos relacionados à tomada de decisões sobre seqüenciamento da produção no nível do chão-de-fábrica. Por meio de observações e entrevistas com os agentes das programações de entrada de ordens nos centros de trabalho procurar-se-á mostrar como a empresa estudada realiza o controle e programação da produção e mostrar o ambiente para a aplicação de uma proposta de gerenciamento de tempo de fila. Será também apresentada uma revisão bibliográfica sobre as principais técnicas de gerenciamento de fluxo de materiais em processo nos diferentes sistemas de administração da produção.
This case study conducted in a make-to-order industry aims to address issues related to making decisions on the sequencing of the production level of the shop-floor. Through observations and interviews with officials of programming input orders at the job search will show how the company study the control and scheduling and show the environment for the implementation of a proposal for management of time queue. It will also be presented with a literature review on the main techniques for managing the flow of materials in the process of administration in the different systems of production.
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Macmillan, Stanley. "Constraints management in a continuous-batch process." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-08082004-070610.

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Ramudhin, Amar. "Two-stage manufacturing processes." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/24561.

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El-Aal, R. M. S. A. "Cutting and stacking problems in production planning." Thesis, University of Bradford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373220.

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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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Ghosh, Soumen. "Production planning and scheduling in a flexible manufacturing system environment." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1272384308.

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Books on the topic "Manufacturing processes. Production planning. Production scheduling"

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Mahoney, R. Michael. High-mix low-volume manufacturing. Upper Saddle River, N.J: Prentice Hall PTR, 1997.

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Proud, John F. Master scheduling: A practical guide to competitive manufacturing. Essex Junction, VT: O. Wight Publications, 1994.

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Tielemans, Peter Franciscus Jozef. Lead time performance in manufacturing systems =: Looptijdprestatie in fabricagesystemen. Delft: Eburon Publishers, 1996.

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Planning and scheduling in manufacturing and services. 2nd ed. Dordrecht: Springer, 2009.

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Maimon, Oded Z. Optimal flow control in manufacturing systems: Production planning and scheduling. Dordrecht: Kluwer Academic Publishers, 1998.

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Błażewicz, Jacek. Scheduling computer and manufacturing processes. 2nd ed. Berlin: Springer, 2001.

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

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Tu, Yiliu. One-of-a-kind production. London: Springer, 2011.

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Production planning and scheduling in flexible assembly systems. Berlin: Springer, 1999.

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Maimon, Oded. Optimal Flow Control in Manufacturing Systems: Production Planning and Scheduling. Boston, MA: Springer US, 1998.

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Book chapters on the topic "Manufacturing processes. Production planning. Production scheduling"

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Mauergauz, Yuri. "Production Planning." In Advanced Planning and Scheduling in Manufacturing and Supply Chains, 373–404. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9_12.

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Błażewicz, Jacek, Klaus H. Ecker, Erwin Pesch, Günter Schmidt, and Jan Węglarz. "Computer Integrated Production Scheduling." In Scheduling Computer and Manufacturing Processes, 423–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03217-6_11.

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Błażewicz, Jacek, Klaus H. Ecker, Erwin Pesch, Günter Schmidt, and Jan Węglarz. "Computer Integrated Production Scheduling." In Scheduling Computer and Manufacturing Processes, 421–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04363-9_11.

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Stecke, Kathryn E. "Production Planning and Scheduling in Flexible Manufacturing Systems." In Computer-Aided Production Management, 281–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73318-5_18.

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Crama, Yves, Alwin G. Oerlemans, and Frits C. R. Spieksma. "Scheduling jobs of equal length: complexity, facets and computational results." In Production Planning in Automated Manufacturing, 63–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80270-6_4.

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Kis, T., and P. Xirouchakis. "Concepts for Integrating Process Planning and Production Scheduling." In Advances in Manufacturing, 3–12. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0855-9_1.

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Macke, N., S. Rulhoff, and J. Stjepandic. "Reference Planning Processes for Series Production." In Enabling Manufacturing Competitiveness and Economic Sustainability, 539–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23860-4_88.

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Mauergauz, Yuri. "Production Bottlenecks Models." In Advanced Planning and Scheduling in Manufacturing and Supply Chains, 89–126. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9_3.

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Süer, Gürsel A., Miguel Saiz, and Omar Rosado-Varela. "Knowledge-Based System for Master Production Scheduling." In Beyond Manufacturing Resource Planning (MRP II), 21–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_2.

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Janiak, Adam. "Scheduling and Resource Allocation Problems in Some Flow Type Manufacturing Processes." In Modern Production Concepts, 404–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76401-1_26.

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Conference papers on the topic "Manufacturing processes. Production planning. Production scheduling"

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Herrmann, Jeffrey W., Mark Fleischer, Edward Lin, Vidit Mathur, and Jim Glasser. "Affordable Space Systems Manufacturing: Intelligent Synthesis Technology, Process Planning, and Production Scheduling." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21281.

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Abstract Low volume production associated with space systems manufacturing is inherently expensive, time-consuming, and risk-laden. At the root of this problem is an inability to adequately predict, monitor, and control the product development and sustainment process. This paper describes the ASSIST system, an intelligent knowledge management system designed to address inefficient information management processes and improve space system affordability. ASSIST is designed for collaborative engineering, manufacturing, and testing within a company, between companies, and between local and remote individuals. ASSIST uses web-based standards (including HTTP and XML) as the common message approach connecting its components. Automated process planning and production scheduling is a key component of ASSIST. This paper describes an integrated process planning and production scheduling problem and discusses the solution approach.
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Laliberty, Thomas J., David W. Hildum, Norman M. Sadeh, John McA’Nulty, Dag Kjenstad, Robert V. E. Bryant, and Stephen F. Smith. "A Blackboard Architecture for Integrated Process Planning/Production Scheduling." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dfm-1291.

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Abstract As companies increase the level of customization in their products, move towards smaller lot production and experiment with more flexible customer/supplier arrangements such as those made possible by Electronic Data Interchange (EDI), they increasingly require the ability to quickly, accurately and competitively respond to customer requests for bids on new products and efficiently work out supplier/subcontractor arrangements for these new products. This in turn requires the ability to rapidly convert standard-based product specifications into process plans and quickly integrate process plans for new orders into the existing production schedule to best accommodate the current state of the manufacturing enterprise. This paper describes IP3S, an Integrated Process Planning/Production Scheduling (IP3S) Shell for Agile Manufacturing. The IP3S Shell is designed around a blackboard architecture that emphasizes (1) concurrent development and dynamic revision of integrated process planning/production scheduling solutions, (2) the use of a common representation for exchanging process planning and production scheduling information, (3) coordination with outside information sources such as customer and supplier sites, (4) mixed initiative decision support, enabling the user to interactively explore a number of tradeoffs, and (5) portability and ease of integration with legacy systems. The system is scheduled for initial evaluation in a large and highly dynamic machine shop at Raytheon’s Andover manufacturing facility.
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Sadeh, Norman M., David W. Hildum, Stephen F. Smith, Dag Kjenstad, Thomas J. Laliberty, and John McA’Nulty. "Integration of Process Planning and Production Scheduling for Agile Manufacturing: A Case Study." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dfm-4330.

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Abstract As companies increasingly customize their products, move towards smaller lot production and experiment with more flexible customer/supplier arrangements, such as those made possible by Electronic Data Interchange (EDI), they increasingly require the ability to (1) respond quickly, accurately and competitively to customer requests for bids on new products and (2) efficiently work out supplier/subcontractor arrangements for these new products. This in turn requires the ability to (1) rapidly convert standard-based product specifications into process plans and (2) quickly integrate process plans for new orders into the existing production schedule to best accommodate the current state of the manufacturing enterprise. This paper describes IP3S, an Integrated Process Planning/Production Scheduling shell for agile manufacturing. IP3S utilizes a blackboard architecture that supports (1) concurrent development and dynamic revision of integrated process planning/production scheduling solutions, (2) maintenance of multiple problem instances and solutions, (3) flexible user-oriented decision making, (4) declarative representation of control information, (5) the use of a common representation for exchanging information, (6) coordination with outside information sources and (7) portability and ease of integration with legacy systems. IP3S has been validated in the context of a large and highly dynamic machine shop at Raytheon’s Andover manufacturing facility. Empirical results show an average performance improvement of 23% in solution quality over a decoupled approach to building process planning/production scheduling solutions.
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Tolio, Tullio, Marcello Urgo, and Arianna Alfieri. "Production and Material Requirements Planning in Manufacturing-to-Order Environments: An Application to Machining Centers Production." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59421.

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Long and medium-term production planning are tools to match production orders and resources capability but can also be used as baseline for material procurement. In some systems, however, to reduce the complexity of the planning problem, distinct production operations are aggregated into activities which normally represent production phases. This is the case of some Manufacturing-to-Order and Engineering-to-Order Systems. The lack of a detailed schedule of the manufacturing operations can cause difficulties in providing a proper Material Requirements Planning and can affect the feasibility of the production plan. The paper proposes an approach to extract scheduling information from a production plan, grounding on the knowledge of the production process, to support material procurement. Once a criterion to aggregate operations is chosen and the plan devised, the description of production operations and their precedence relations are used to obtain temporal ranges for production operations and, hence, deadline ranges are provided for the MRP. The proposed approach is applied to an industrial environment producing machining centers.
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Tolio, Tullio, Marcello Urgo, and Arianna Alfieri. "Project Scheduling With Feeding Precedence Relations: An Application to Production Planning." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59425.

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Production planning in Manufacturing-to-Order environments producing complex items must manage the execution of fabrication and/or assembling activities. In case of activities executed by workers, the committed effort can vary over time. To model this behavior, the Variable Intensity formulation has been proposed in the literature. In addition, the activities to be scheduled often represent whole production phases made of distinct production operations. Hence, the utilization of simple finish-to-start precedence relations does not correctly represent the real production process. In such cases Generalized Precedence Relations are used to allow overlapping among activities. However, since in Variable Intensity formulations the percentage execution of the activities is no more univocally related to their time execution, Generalized Precedence Relations cannot completely describe the constraints among activities. In this paper two mathematical formulations of precedence relations based on processing execution are presented to model overlapping between activities. The formulations are applied to an industrial case of production of machining centers and compared in terms of computational efficiency.
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Oh, Yosep, and Sara Behdad. "An Optimal Quantity of Scheduling Model for Mass Customization-Based Additive Manufacturing." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97913.

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Abstract The purpose of this study is to optimize production planning decisions in additive manufacturing for mass customization (AMMC) systems in which customer demands are highly variable. The main research question is to find the optimal quantity of products for scheduling, the economic scheduling quantity (ESQ). If the scheduling quantity is too large, the time to collect customer orders increases and a penalty cost occurs due to the delay in responding to consumer demands. On the other hand, if the scheduling quantity is too small, the number of parts per jobs decreases and parts are not efficiently packed within a workspace and consequently the build process cost increases. An experiment is provided for the case of stereolithography (SLA) and 2D packing to demonstrate how the build time per part increases as the scheduling quantity decreases. In addition, a mathematical framework based on ESQ is provided to evaluate the production capacity in satisfying the market demand.
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Su, Joseph C., Suresh Marrey, Jignesh Damania, and Kevin Shaw. "Manufacturing Information Management and Integrated Capacity Planning in a High Mix Electronics Manufacturing Environment." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48242.

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The high-end electronics manufacturing industry is challenged by the nature of medium/low volume and rich mix as it involves the management of various products and an extensive number of production recipes in a mixed productionflow. In addition, facing dynamic demands and the large amount of system transactions required to successfully manage the entire process further intensifies the complexity of the highmix supply chain. The key to enhance supply-chain operations of this complex process is the efficient use of information systems to (1) ensure the transparency of demand and (2) supply capacity data to all companies within a manufacturing supply chain. This will place companies in a position to anticipate demand fluctuations and respond accordingly. In the previous study [3], authors have introduced the development of the integrated capacity planning model in a high-mix electronics manufacturing environment. This ongoing study further enhances the model with the incorporation of sectionized yield information to improve the planning accuracy and the manufacturing execution information to validate the accuracy. In the previous study [3], an integrated capacity planning tool, composed of Tool Capacity Planning System (TCP) and Integrated Planning System (IPS), was introduced. TCP, an Advanced Planning and Scheduling (APS) tool, consists of a simulation system and a database that can be used to plan for the necessary equipment capacity with demand data. IPS is used for workload and staffing requirement planning. In this research, we further introduce the addition of the Manufacturing Data Warehouse (MDW), which hosts the operational data obtained from the manufacturing execution system. This addition enables the achievement of the abovementioned objectives, incorporation of sectioned yield information to improve the planning accuracy and the manufacturing execution information to validate the accuracy. The organization of this paper is as follow. The need and concept of integrated capacity planning are first described, followed by a review of some related works. The methodology section introduces the concept of unit hour and sectionized yield, as well as planning validation. Followed are several aspects of system development, including design guideline, requirement analysis, system architecture and system modeling. Some illustrated examples of said development activities are presented as well.
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Zhao, Fu-qing, Qiu-yu Zhang, and Ya-hong Yang. "An Improved Particle Swarm Optimization(PSO) Algorithm and Fuzzy Inference Systems Based Approach to Process Planning and Production Scheduling Integration in Holonic Manufacturing System (HMS)." In 2006 International Conference on Machine Learning and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icmlc.2006.259102.

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Wang, Ming-Tzong. "An Object-Oriented Feature-Based CAD/CAPP/CAM Integration Framework." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0076.

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Abstract This paper presents an object-oriented feature-based CAD/CAPP/CAM integration framework in a concurrent engineering environment. The framework which is still under development at Yuan-Ze’s automation center is a layered hierarchy based on an object-oriented feature-based part model. The part model serves as a central database for design, process planning, and manufacturing related activities. Feature-based design approach in conjunction with feature recognition approach is incorporated in this integration framework. This dual approach can balance overall computational efficiency and modeling complexity of the interface between design and process planning. There are three levels at the process planning stage : primary level, secondary level and detailing level. The primary level is concerned with the issues of intermediate shape generation. At the secondary process planning level the intermediate specifications of features and workpieces are determined. The detailing level elaborates on the selection of corresponding facilities and parameters for each manufacturing operation. This manufacturing information is used to drive the downstream CAM activities such as NC part programming, production control and scheduling, operation setup and so forth.
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Huang, He, and Gaurav Ameta. "Towards a Design Framework for Bi-Level Estimation of Turning Energy for Parts and Assemblies." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84159.

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This paper presents a computational framework for calculating turning energy for parts and assemblies, at two levels — early design stage and manufacturing stage. At the early design stage such energy estimation can be used to redesign the part and assemblies for manufacturing energy efficiency. At the manufacturing stage, allocation of resources based on energy efficient process planning and scheduling aids in reducing the carbon emissions of the product due to manufacturing energy production. For computing the turning energy, at the early design stage, first removal volume for turning operations for a part is identified. Then, material data and the removal volume are used to calculate a range of turning energy for manufacturing the part. If dealing with an assembly, then the above computations are applied to each individual parts and total turning energy is computed for the assembly. Energy hogging parts/features are identified based on percent contribution, which is then used to suggest parts for re-design. Application of statistical analysis and allocation of turning energy for identifying re-design parts is also explored. Re-design at the early design stage is performed at two levels — form (geometry and shape) and material. At the manufacturing stage, turning energy calculations can be utilized for optimizing the process plans. Although the framework presented in this paper is applied only to turned parts and assemblies, it can also be applied to machined parts and assemblies.
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Reports on the topic "Manufacturing processes. Production planning. Production scheduling"

1

Sadeh, Norman M., Thomas J. Laliberty, Robert V. Bryant, and Stephen F. Smith. Development of an Integrated Process Planning/Production Scheduling Shell for Agile Manufacturing. Fort Belvoir, VA: Defense Technical Information Center, November 1995. http://dx.doi.org/10.21236/ada310806.

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