Journal articles: 'Production system and orders'

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Palgunadi, Sarngadi. "New Algorithms to Predict the Finish Production Time of Orders (FPTO) in a Furniture Production System." Jurnal Teknologi & Informasi ITSmart 2, no. 1 (March 1, 2016): 32. http://dx.doi.org/10.20961/its.v2i1.616.

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Best practice in a furniture production system, due to the fact costumers want to know more exactly when their orders will be delivered, the furniture production managements have to have a system to predict when the orders can be fulfiled. This paper will describe the algorithms to calculate the finish production time of orders (FPTO) in a furniture production system as well as their time complexities. The production line is set to be single processor- multi-steps (SPMS). Some asumptions made are infinite time services, machine availability, one production step at a time, uniform production step, priority order and priority item asumptions in production line. If the number of production steps is m and the number of orders is n, it can be shown that there exists a linear polinomial, in O(m), to calculate FPTO for single-order, and a polinomial algorithm, in O(mn), to calculate FPTO for multi-orders.

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Jardzioch, Andrzej, and Robert Dylewski. "Determining the Minimum Sum of Production Order Delays in a Two-Machine System." Management and Production Engineering Review 8, no. 3 (September 1, 2017): 31–39. http://dx.doi.org/10.1515/mper-2017-0026.

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AbstractOne of the main tasks in the planning of production processes is to satisfy the needs of the customers in terms of quantity, quality and time. The issue of the timely execution of production orders is becoming increasingly important. Based on the conducted studies it can be concluded that the size of the delay depends on the adopted scheduling of orders. This paper focuses on the problem of implementing a scheduling of production orders that will allow to avoid delays, and in the event such a scheduling is not possible, for minimizing the sum of delays of all the orders. A new algorithm has been proposed that allows to determine of the optimal sequence of production orders with the minimum sum of delays. The considerations have been limited to the issue of a two-machine system in which the orders are carried out in a flow.

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Korableva, Galina, and Elena Kucherova. "Adaptive method of generation of optimal production orders." E3S Web of Conferences 110 (2019): 02127. http://dx.doi.org/10.1051/e3sconf/201911002127.

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The article describes the approach to the generation of production or sales orders for enterprises with ordering planning system. The adaptive method of orders’ generation for production and sales of products is multi-level and includes several stages, allowing forming almost optimal package of applications from consumers, obtained by a mathematical model, the optimization criterion of which is the profit function from product sales. The functional structure of the automated decision support system, which is a tool for implementing an adaptive methodology, is considered. The developed method will reduce energy costs during transportation and storage of production orders.

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Zemczak, Marcin, and Damian Krenczyk. "A New Procedure of Production Orders Sequencing in Mixed-Model Production Systems." Advanced Materials Research 1036 (October 2014): 864–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.864.

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The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.

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Zemczak, Marcin. "Production Orders Sequencing in Mixed-Model Assembly Lines." Applied Mechanics and Materials 657 (October 2014): 359–63. http://dx.doi.org/10.4028/www.scientific.net/amm.657.359.

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The paper presents the production orders sequencing issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature research, the sequencing problem considered in the paper, may be denoted as CSP (Car Sequencing Problem) and belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem [1]. Optimal method of solution has not yet been found, therefore only approximate solutions have been offered [2]. Approximate solutions are based mainly on the evolutionary algorithms. However certain problems, as lack of possibility to check the effectiveness of the solution or the possibility to reach twice the same solution are observed. Regardless of the structure of specific assembly system, while considering reception of new tasks into the execution, current review of the state of the system is obligatory in order to decide whether, when and which new order can be accepted for assembly. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence.

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Shim, Sang Oh. "Developing Automated Production Management System for Manufacturing Green IT Products." Advanced Materials Research 712-715 (June 2013): 3187–90. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.3187.

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This paper presents a scheduling method for a semiconductor wafer fabrication to meet daily quantities of orders with multiple product types and different due dates. Since each order has a due date, a quantity to be produced and a product type, a production planning is made to satisfy meeting due date and quantity of order. By a production planning, the daily output quantities (to be transported to wafer probe facilities) and input quantities for all product types are determined and lots associated with orders are released to a fabrication. Although production planning is obtained, it is not easy for operators and manufacturing managers to observe production planning since the unexpected incidents, such as machine breakdown, operators' mistakes and preventive maintenance, occur frequently. Therefore, it happens frequently that actual daily output quantities of orders are different with the planed ones. In this paper, to satisfy production plans in real fabrication, efficient dispatching rule that can be used in scheduling and dispatching in manufacturing execution system for a semiconductor fabrication developed.

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Sadeghi, Heibatolah, Hêriş Golpîra, and Syed Abdul Rehman Khan. "Optimal integrated production-inventory system considering shortages and discrete delivery orders." Computers & Industrial Engineering 156 (June 2021): 107233. http://dx.doi.org/10.1016/j.cie.2021.107233.

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Сорокина, Елена, and Elena Sorokina. "INCREASE OF ORDERS COMPETITIVENESS AT THE INDUSTRIAL ENTERPRISE." Bulletin of Bryansk state technical university 2016, no. 5 (December 30, 2016): 303–8. http://dx.doi.org/10.12737/article_58f9c4da22cfb1.35878769.

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Competition growth, increase of requirements to production quality and services on the part of custom-ers and, being a consequence of it, growth of uncertain-ty in many markets force the increasing number of machine-building enterprises to focus their production and economic structure and a control system on work by consumer order. The article formulates the main approaches to management of production systems. Actions for in-creasing competitiveness of enterprise orders on the basis of internal potential are worked out. The structure of transformational production is considered. Reserves of increasing technical and economic efficiency for the purpose of competitive orders portfolio formation are revealed.

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Dylewski, Robert, Andrzej Jardzioch, and Oliver Dworak. "Minimization of Delay Costs in the Realization of Production Orders in Two-Machine System." Management Systems in Production Engineering 26, no. 1 (March 1, 2018): 14–22. http://dx.doi.org/10.2478/mspe-2018-0002.

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Abstract The article presents a new algorithm that enables the allocation of the optimal scheduling of the production orders in the two-machine system based on the minimum cost of order delays. The formulated algorithm uses the method of branch and bounds and it is a particular generalisation of the algorithm enabling for the determination of the sequence of the production orders with the minimal sum of the delays. In order to illustrate the proposed algorithm in the best way, the article contains examples accompanied by the graphical trees of solutions. The research analysing the utility of the said algorithm was conducted. The achieved results proved the usefulness of the proposed algorithm when applied to scheduling of orders. The formulated algorithm was implemented in the Matlab programme. In addition, the studies for different sets of production orders were conducted.

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Zemczak, Marcin, Bożena Skołud, and Damian Krenczyk. "Application of Graph Theory for Production Orders Sequencing in Mixed-Model Production Systems." Applied Mechanics and Materials 809-810 (November 2015): 1343–47. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1343.

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In this paper, problem of sequencing of production orders in mixed-model assembly systems is being analysed. The sequencing in such system is mostly addressed as a CSP problem (Car Sequencing Problem) and due to the fact that no optimal method of solution has yet been found it belongs to the NP-hard problems [1,2]. The NP-hardness of the problem has been proven in [3]. The problem connected with proper sequencing arises from the fact that nowadays it’s the clients who have the biggest influence on the sellers offer. The possibility to customize almost each and every product complicates the production management, as instead of having 10 different products, the number of them may grow up to few hundreds [4]. The problem may be especially observed in automotive industry, however recently it may be also met in household appliances industry, as mass customization can be also observed on that market. Each product may differ in labor-effectiveness, and due to the fact of carrying the assembly in linear assembly systems, each unevenness, each transgression of takt time on a single work-station may lead to the line stoppage.

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Yukalov, Vyacheslav I. "Order Indices and Entanglement Production in Quantum Systems." Entropy 22, no. 5 (May 18, 2020): 565. http://dx.doi.org/10.3390/e22050565.

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The review is devoted to two important quantities characterizing many-body systems, order indices and the measure of entanglement production. Order indices describe the type of order distinguishing statistical systems. Contrary to the order parameters characterizing systems in the thermodynamic limit and describing long-range order, the order indices are applicable to finite systems and classify all types of orders, including long-range, mid-range, and short-range orders. The measure of entanglement production quantifies the amount of entanglement produced in a many-partite system by a quantum operation. Despite that the notions of order indices and entanglement production seem to be quite different, there is an intimate relation between them, which is emphasized in the review.

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Wang, H. M., T. Y. Wang, and Xiao Jun Guo. "Research on Logistics & Purchase System in Order-Driven Mode." Materials Science Forum 626-627 (August 2009): 687–92. http://dx.doi.org/10.4028/www.scientific.net/msf.626-627.687.

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Organizing production on orders is one important mode for small and medium corporations. In this mode, logistics and purchase are to be progressed on sale orders. To satisfy production demands of specific sale orders for zero stock is the goal of logistics and purchase. In this paper, the logistics & purchase procedure under order-driven is analyzed, with its integrated workflow model being built. The information model of logistics & purchase operation flow is designed in detail with UML method. The solution to main operation issues of logistics & purchase procedure management is discussed, with the system program hierarchy presented. This system has been implemented in an electric equipment enterprise and a distinct achievement is realized.

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Dylewski, Robert, and Andrzej Jardzioch. "Scheduling Production Orders, Taking into Account Delays and Waste." Management and Production Engineering Review 5, no. 3 (September 29, 2014): 3–8. http://dx.doi.org/10.2478/mper-2014-0021.

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Abstract The article addresses the problem of determining the sequence of entering orders for production in a flexible manufacturing system implementing technological operations of cutting sheet metal. Adopting a specific ranking of production orders gives rise to the vector of delays and waste in the form of incompletely used sheets. A new method was postulated for determining the optimal sequence of orders in terms of two criteria: the total cost of delays and the amount of production waste. The examples illustrate the advantages of the proposed method compared with the popular heuristic principles.

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López-Ortega, Omar, Virgilio López-Morales, and Israel Villar-Medina. "Intelligent and collaborative Multi-Agent System to generate and schedule production orders." Journal of Intelligent Manufacturing 19, no. 6 (June 13, 2008): 677–87. http://dx.doi.org/10.1007/s10845-008-0119-z.

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Lečić-Cvetković, Danica, Nikola Atanasov, and Sladan Babarogić. "An Algorithm for Customer Order Fulfillment in a Make-to-Stock Manufacturing System." International Journal of Computers Communications & Control 5, no. 5 (December 1, 2010): 783. http://dx.doi.org/10.15837/ijccc.2010.5.2238.

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In the competitive environment, many manufacturers are increasingly focusing on designing the systems that help them to manage variable demand and supply situations. Dynamic allocation of demands is very important in case of customer order allocations. Order promising and allocation can be based on the simple sequence that enables a manufacturing company to receive orders unless there are some other priority orders. Manufacturing company can also manage allocations of supply to key customers and channels, thereby ensuring that they can meet contractual agreements and service levels in the priority that yields better profit. This paper will focus on a Maketo- Stock order fulfillment system facing random demand with random orders from different classes of customers. Available-to-promise (ATP) calculating from master production schedule (MPS) exhibits availability of finished goods that can be used to support customer order allocation. This order allocation system is adapted in MTS (make-to-stock) production model and all orders are treated according to maximization of customer service policy. It allows incoming purchase orders as well as existing inventory on hand to be selected and allocated to customer sale orders and back orders. The system then automatically allocates the available stock to the selected sales orders. We developed an integrated system for allocation of inventory in anticipation of customer service of high priority customers and for order promising in real-time. Our research exhibits three distinct features: (1) We explicitly classified customers in groups based on target customer service level; (2) We defined higher level of customer selection directly defined according to company strategy to develop small and medium customers; (3) We considered backorders that manufacturing company has to fulfill in order to maximize overall customer service for certain customers.

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Et al., Yoganathan N. S. "Application Based Production Management System In Textile Industries." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 1803–7. http://dx.doi.org/10.17762/turcomat.v12i6.4035.

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Presently, there is lack of proper management system to manage orders and analyze the daily reports which is prerequisite to acquire production management systems. This paper objectives to elucidate the production management system in small and medium sized Enterprises manufacturing apparent in India. SMES rely invariably on register and manual - data sheet based management which are detrimental in the management process. This proposed system provides a cost-effective solution to the above said problem through app-based platform, it reveals the production planning through reports of the data collected to analyze the daily production on various parameters involved in apparel production. This system provides a daily report to the authorized person (Owner/ Supervisor) to facilitate production management and solve issues pertaining to production output addressing various implements involved in the process.

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Shi, Yun. "The Production Management System under Mass Customization." Advanced Materials Research 912-914 (April 2014): 1821–25. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1821.

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Mass customization (MC) is an advanced production mode in the 21st century that combines two opposite production patterns -- customization production and mass production. It keeps low production cost and fast delivery time, while meeting individual customers needs. Firstly, via analyzing the typical production management patterns (material requirement planning (MRP)/ just in time (JIT)), and based on the two strategies of modularization and postponement, the paper presented a push/pull manufacturing model to meet the demands of MC. This model integrates the two different production patterns (push and pull) to reduce inventory, production costs and production time. Before the customer order decoupling point (CODP), common components and selective components are produced via push of plan in presence of inventory. After the CODP, customization production is conducted by pull of orders.

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Zhang, Haitao, Dunbing Tang, Kun Zheng, and Adriana Giret. "Production control strategy inspired by neuroendocrine regulation." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 1 (April 1, 2016): 67–77. http://dx.doi.org/10.1177/0954405416639889.

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Due to the international business competition of modern manufacturing enterprises, production systems are forced to quickly respond to the emergence of changing conditions. Production control has become more challenging as production systems adapt to frequent demand variation. The neuroendocrine system is a perfect system which plays an important role in controlling and modulating the adaptive behavior of organic cells under stimulus using hormone-regulation principles. Inherited from the hormone-regulation principle, an adaptive control model of production system integrated with a backlog controller and a work-in-progress controller is presented to reduce backlog variation and keep a defined work-in-progress level. The simulation results show that the presented control model is more responsive and robust against demand disturbances such as rush orders in production system.

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Oborski, Przemysław. "Integrated Monitoring System of Production Processes." Management and Production Engineering Review 7, no. 4 (December 1, 2016): 86–96. http://dx.doi.org/10.1515/mper-2016-0039.

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Abstract Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future Cyber-Physical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.

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Legowo, Nilo, and I. Made Kresna Yoga. "Perancangan Aplikasi Monitoring Produksi pada Perusahaan yang Memproduksi Acrylic." ComTech: Computer, Mathematics and Engineering Applications 3, no. 1 (June 1, 2012): 676. http://dx.doi.org/10.21512/comtech.v3i1.2466.

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A lot of problems often occur in production monitoring, because companies still rely on manual processing system. Therefore, this research is objected to facilitate the monitoring of production processes, to minimize human error in the production process, to make automatic the process of existing transactions, toclarify the duties of production monitoring of an acrylic manufacturer. The research methodology used is literature study by reviewing previous theories and studies related to the topic. Furthermore, analysis method by studying the running system of the company as well as evaluating the distributed questionnaire and analyzing the results. And finally is the design method using the Object-Oriented with UML. The research resulted in an application design of a production monitoring system. The result of this design has been implemented into the selected DBMS. The new monitoring system helps monitoring the production system properly, as well as makes the transaction run systematically. The each production process starting from project orders, sample orders, sales orders, material releases, production, assembly, and delivery order within can be monitored quickly and properly. The activity reports can also be generated more systematically and comprehensibly.

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Fazlollahtabar, Hamed. "An Effective Mathematical Programming Model for Production Automatic Robot Path Planning." Open Transportation Journal 13, no. 1 (March 26, 2019): 11–16. http://dx.doi.org/10.2174/1874447801913010011.

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Objective: Path planning for production robots has been investigated. The sequence of the orders to be processed in a certain planning horizon has been planned for the production system. Methods: Production automatic robots are employed to carry parts and products among all production stations and machining centers. The combination of machines in stations and autonomous robot evolves a production network. Results: The problem is to assign orders to robots so that paths are obtained to minimize total waiting times of production system and meanwhile provide collision-free paths. Conclusion: The proposed mathematical formulation is implemented to show the efficiency and effectiveness.

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Dodevski, Sasho. "LOGISTICS IN THE PRODUCTION SYSTEM." Knowledge International Journal 28, no. 4 (December 10, 2018): 1433–38. http://dx.doi.org/10.35120/kij28041433s.

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The emphasis of this work is on the synchronisation of all activities within the manufacturing system, which is a permanent challenge for both a successful manufacture and business in general. For the realisation of this research task it is necessary to start with the structure of the manufacturing system and to theemphasis the hierarchy of objectives and also the strategies which should be employed for their realisation. Thevalidity of the concept suggested is estimated out by computer simulation, using the initial data from theindustry. The Perftech.Largo ERP software is used in the TAB-MAK accumulator factory. is a simple and technically updated software for creating effective comprehensive business information systems that can at any time provide users with the desired status information in the company. The most commonly used modules in TAB-MAK are: finance, human resources management, sales and procurement, external operations, production, material operations. The simulation program starts with a temporary presumption that the materials needed for reproduction are available in the input data of the warehouse. All work orders are processed and sent to the data entry of the warehouse. The program starts the data at the time of occurrence of any work order within the system at the time required for its realization and automatically takes into account the priorities of each working order. The user has an intermediate warehouse that enables normal operation of the production process and optimal supply time.

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Rath, Kali Charan, Surya Narayan Maharana, and Jyoti Rajak. "Replacement of Human Labour With Integration of Machines Into a Self-Governing System." International Journal of System Dynamics Applications 10, no. 2 (April 2021): 73–87. http://dx.doi.org/10.4018/ijsda.2021040105.

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Advanced manufacturing runs with highly innovative technology and accommodates quality production without excessive capital investment. So, there are three main corners named. Efficient production, intelligent production, and effective organization are the special focus areas in today's advanced technology adopted by manufacturing sectors. The domain of an automated manufacturing system is not only limited to the production lines but also can be treated as a tool that automates plant inventory, orders, purchasing, or even marketing. Technological significance can be automated to improve the productions of the industry. The objective of this paper is to explore the concept of automation and presents brief taxonomies across multiple scientific and industrial automation systems. This article also describes the effect of automation on the society and environment.

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Banaszak, Zbigniew, and Grzegorz Bocewicz. "Declarative Modeling for Production Order Portfolio Scheduling." Foundations of Management 6, no. 3 (December 1, 2014): 7–24. http://dx.doi.org/10.1515/fman-2015-0014.

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Abstract A declarative framework enabling to determine conditions as well as to develop decision-making software supporting small- and medium-sized enterprises aimed at unique, multi-project-like and mass customized oriented production is discussed. A set of unique production orders grouped into portfolio orders is considered. Operations executed along different production orders share available resources following a mutual exclusion protocol. A unique product or production batch is completed while following a given activity’s network order. The problem concerns scheduling a newly inserted project portfolio subject to constraints imposed by a multi-project environment The answers sought are: Can a given project portfolio specified by its cost and completion time be completed within the assumed time period in a manufacturing system in hand? Which manufacturing system capability guarantees the completion of a given project portfolio ordered under assumed cost and time constraints? The considered problems regard finding a computationally effective approach aimed at simultaneous routing and allocation as well as batching and scheduling of a newly ordered project portfolio subject to constraints imposed by a multi-project environment. The main objective is to provide a declarative model enabling to state a constraint satisfaction problem aimed at multi-project-like and mass customized oriented production scheduling. Multiple illustrative examples are discussed.

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Żukowski, Paweł. "Podstawy budowy modelu dynamiki systemu zarządzania oraz jego symulacja w organizacji gospodarczej (na podstawie metodologii dynamiki systemów J.W. Forrestera)." Przedsiębiorczość - Edukacja 8 (January 1, 2012): 331–47. http://dx.doi.org/10.24917/20833296.8.24.

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In the work chapter, after discussing issues related to systems thinking, mental models, system dynamics and procedure of modeling, presents the socio-mathematical description of the dynamics of economic organization management system based on system dynamics methodology developed by Jay W. Forrester, as a creative concept used for researching system thinking. The purpose of this description is to illustrate the methodology and characteristics the construction this type of that models. This description is a simply way represent any economic organization (production), which show the organizational units (departments and production department), the flows of orders, the streams of information about materials and prefabricates, final products and their storage and sales. Built model of system dynamics allow management to analyze the causes of fluctuations In the processes of economic organization changes observed at the urgen changes to take new orders for final products. The simulation made on the basic experimentally constructed model revealed certain properties characteristic of the dynamic behavior of economic organization (formation of the characteristic and interesting letter size) at its manufacturing operations in case of adoption of new orders for final products.

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Neves, Pedro, Luis Ribeiro, João Dias-Ferreira, Mauro Onori, and José Barata Oliveira. "Layout validation and re-configuration in Plug&Produce systems." Assembly Automation 36, no. 4 (September 5, 2016): 412–28. http://dx.doi.org/10.1108/aa-12-2015-119.

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Purpose This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plug&Produce (P&P) systems in the presence of continuously changing production orders. Design/methodology/approach The paper reviews different production scenarios and system design and configuration methods and more particularly specifies the need of decision support tools for P&P systems that integrate configuration and planning activities. This problem is then addressed by proposing a method that helps reduce the solution space of the reconfiguration problem and allows the timely selection of the most promising reconfiguration alternative. Findings The proposed method was found to be helpful in reducing the reconfiguration alternatives that need to be considered and in selecting the most promising one for different orders. The advantages and limitations of this method are identified, and an illustrative test case of the approach is presented, corroborating the method applicability in the absence of large queues in the system. Originality/value This paper addresses a less explored domain within the P&P systems research field, which is the system reconfiguration. It proposed a method to support system validation and reconfiguration jointly with an illustrative test case. This represents an original contribution to the P&P research field, and it can have impact in improving agility and decreasing the complexity of reconfiguration activities to cope with constantly changing production orders.

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Zywicki, K., and P. Rewers. "A simulation-based approach to study the influence of different production flows on manufacturing of customized products." Advances in Production Engineering & Management 15, no. 4 (December 24, 2020): 467–80. http://dx.doi.org/10.14743/apem2020.4.379.

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Manufacturing products tailored to the individual requirements of customers is a must if companies want to compete effectively on the market. The production of customized goods poses new challenges for all areas of functioning of production systems. It is necessary to adopt such rules and methods that will allow a flexible response to product design changes and their demand In the organization of production flow (materials and information). The article presents research carried out in the SmartFactory laboratory of the Poznań University of Technology regarding the impact of the structure of products (customization) on the realization of current production orders. The research was carried out using the FlexSim simulation environment. Based on simulation experiments for three forms of organization of production flow with varying degrees of flexibility of production resources, an analysis was made of the time of execution of various sets of production orders and the level of use of available working time. The results of research indicate that in the production of products with low and high planned labor consumption, the use of universal production station is the most advantageous. For such a solution, the degree of utilization of the available working time of production stations is also the highest. It was also found that the principles of scheduling production orders affect the effectiveness of the production system. The best results were obtained for the production schedule, where the sequence of production orders was established from the lowest planned time of resource loading.

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LOGUNOVA, OXANA S., and MIKHAIL B. ARKULIS. "AUTOMATED OPERATIONAL SCHEDULING SYSTEM FOR MULTI-STAGE PRODUCTION: MATHEMATICAL MODEL AND SOFTWARE IMPLEMENTATION." Cherepovets State University Bulletin 3, no. 102 (2021): 18–37. http://dx.doi.org/10.23859/1994-0637-2021-3-102-2.

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The purpose of the study is to improve the efficiency of production areas of multi-stage production with the possibility of rational use of equipment capacity and stocks of WIP inventory in the operation conditions of the automated operational scheduling system. Features of the considered problem regarding operative calendar planning are: necessity of processing raw materials at several stages according to the flow chart; an array of the equipment which demands division of work into three periods for each party; availability of planned and unscheduled equipment downtime; necessity to complete set of orders from several suborders; availability of incomplete production in a warehouse; restrictions in order and timing of orders. In the work, the authors construct a mathematical model with the use of multidimensional matroids with structured elements in the construction of free time scale for equipment loading. The research was carried out for a metallurgical plant at the cold strip production site...

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López-Ortega, Omar, and Israel Villar-Medina. "A multi-agent system to construct production orders by employing an expert system and a neural network." Expert Systems with Applications 36, no. 2 (March 2009): 2937–46. http://dx.doi.org/10.1016/j.eswa.2008.01.070.

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Коновалова, Галина, and Galina Konovalova. "SYSTEM APPROACH BASED INVESTIGATION OF PRODUCTION AND ENGINEERING COMPANY MANAGEMENT." Bulletin of Bryansk state technical university 2016, no. 4 (December 28, 2016): 295–303. http://dx.doi.org/10.12737/23267.

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Today at engineering companies there is the fol-lowing problem: the inconsistency in management decision-making causing high production costs, a longer duration of a production cycle and a nonobservance of timing of orders. To solve this problem the author of this paper has analyzed with system positions produc-tion and management at an engineering company. A system model is offered, there is described an enlarged structure, hierarchy and kinds of ends, a functional model of engineering company management is formed. In the functional model there are presented functions of a company, production and information flows. In the management scheme of a company there are formulated strategies, ends and indices of efficiency in the field of investigations and developments, finances, marketing, production. A production strategy, budget and orders connect the scheme of company management and the scheme of production management. In the scheme of production management there is located a development of processes for decision-making support, scheduling, online planning, production control, material procurement, resources control, servicing management, company shipments. The scheme of production management has two levels: a company level and a workshop one. Functions of online production planning at a company level provide the formation of a production program, plan-schedules of manufacturing products, parts, units, material requirements, manhours, production costs. Functions of on-line production planning at the workshop level ensure the formation of production schedule and working up urgent plan tasks for production sections (brigades). The influence of external and internal factors upon management system formation is described. The technical solutions offered are introduced at the closed company of “UK “Bryansk Engineering Plant” and have a universal character and may be used at all engineering companies of the country.

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Lee, Chihoon, Xin Liu, Yunan Liu, and Ling Zhang. "Optimal Control of a Time-Varying Double-Ended Production Queueing Model." Stochastic Systems 11, no. 2 (June 2021): 140–73. http://dx.doi.org/10.1287/stsy.2019.0066.

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Motivated by production systems with nonstationary stochastic demand, we study a double-ended queueing model having back orders and customer abandonment. One side of our model stores back orders, and the other side represents inventory. We assume first-come-first-served instantaneous fulfillment discipline. Our goal is to determine the optimal (nonstationary) production rate over a finite time horizon to minimize the costs incurred by the system. In addition to the inventory-related (holding and perishment) and demand-related (waiting and abandonment) costs, we consider a cost that penalizes rapid fluctuations of production rates. We develop a deterministic fluid-control problem (FCP) that serves as a performance lower bound for the original queueing-control problem (QCP). We further consider a high-volume system for which an upper bound of the gap between the optimal values of the QCP and FCP is characterized and construct an asymptotically optimal production rate for the QCP, under which the FCP lower bound is achieved asymptotically. Demonstrated by numerical examples, the proposed asymptotically optimal production rate successfully captures the time variability of the nonstationary demand.

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Heinrich, S., H. Durr, T. Hanel, and J. Lassig. "An Agent-Based Manufacturing Management System for Production and Logistics within Cross-Company Regional and National Production Networks." International Journal of Advanced Robotic Systems 2, no. 1 (March 1, 2005): 2. http://dx.doi.org/10.5772/5808.

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The goal is the development of a simultaneous, dynamic, technological as well as logistical real-time planning and an organizational control of the production by the production units themselves, working in the production network under the use of Multi-Agent-Technology. The design of the multi-agent-based manufacturing management system, the models of the single agents, algorithms for the agent-based, decentralized dispatching of orders, strategies and data management concepts as well as their integration into the SCM, basing on the solution described, will be explained in the following.

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Kim, Jae-Gon, June-Young Bang, Hong-Bae Jun, and Jong-Ho Shin. "Dominance Conditions for Optimal Order-Lot Matching in the Make-To-Order Production System." Processes 8, no. 2 (February 24, 2020): 255. http://dx.doi.org/10.3390/pr8020255.

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Order-lot matching is the process of assigning items in lots being processed in the make-to-order production system to meet the due dates of the orders. In this study, an order-lot matching problem (OLMP) is considered to minimize the total tardiness of orders with different due dates. In the OLMP considered in this study, we need to not only determine the allocation of items to lots in the production facility but also generate a lot release plan for the given time horizon. We show that the OLMP can be considered as a special type of machine scheduling problem with many similarities to the single machine total tardiness scheduling problem ( 1 | | ∑ T i ). We suggest dominance conditions for the OLMP by modifying those for 1 | | ∑ T i and a dynamic programming (DP) model based on the dominance conditions. With two example problems, we show that the DP model can solve small-sized OLMPs optimally.

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Khasanah, Chalizah Nur, and Purnama Nuraini. "Fuzzy Inferensi System pada Produksi Kerupuk Lipat." KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) 1, no. 1 (February 4, 2020): 26–30. http://dx.doi.org/10.30645/kesatria.v1i1.13.

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Crackers are one of the favorite foods of Indonesian people which are made from flour mixture mixed with flavoring ingredients. UD.Eman is one of the factories that produces folding crackers. The instability of cracker orders which are sometimes high and sometimes low makes UD. Eman difficult in determining the amount of cracker production. These problems can be solved by using the Fuzzy Tsukamoto method by using 3 fuzzy variables, namely demand [x] where, inventory [y], production [z]. From the results of research conducted can produce clarity for the production of crackers per day. If the demand for 800 packs per day and stock of 500 packs per day, 947 packs of crackers can be produced per day.

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Qiu, Jian Xin, Yan Qiu Xu, and Man Zhang. "Conversion of Information Flow in Digital Manufacturing for Clothing Industry." Advanced Materials Research 139-141 (October 2010): 1535–39. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1535.

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Use of digitization clothing technology, the customer demand information flow of mass customization for clothing industry was analyzed. The mathematical mapping ways which can be identified by system from these demands were proposed. Combination with three specific process of customization, design, production of mass customization for clothing industry, the information conversion technologies were studied, respectively, from customer demand to orders, from orders to design program ,and from design program to clothing . The customization system configuration in the clothing industry was designed on the basis of Web. The information conversion and systems integration were achieved by PDM.

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Dylewski, Robert, Andrzej Jardzioch, and Irene Krebs. "The Optimal Sequence of Production Orders, Taking into Account the Cost of Delays." Management and Production Engineering Review 7, no. 2 (June 1, 2016): 21–28. http://dx.doi.org/10.1515/mper-2016-0013.

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Abstract In flexible manufacturing systems the most important element in determining the proper course of technological processes, transport and storage is the control and planning subsystem. The key planning task is to determine the optimal sequence of production orders. This paper proposes a new method of determining the optimal sequence of production orders in view of the sum of the costs related to the delayed execution of orders. It takes into account the different unit costs of delays of individual orders and the amount of allowable delays of orders involving no delay costs. The optimum sequence of orders, in the single-machine problem, in view of the sum of the costs of delays may be significantly different from the optimal order, taking into account the sum of delay times.

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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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Zeng, Bin, Rui Wang, and Hong Yu Chen. "Design of Simulation Model for Production Scheduling in Flexible Manufacturing Systems." Advanced Materials Research 230-232 (May 2011): 814–18. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.814.

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The complex interaction and the high costs of modern manufacturing systems make it necessary to evaluate their use performance. Production scheduling problem is one of the key problems of research of manufacturing systems since with a proper scheduling, the utilization of resources is optimized and orders are produced on time which improves the shop performance and associated cost benefits. However the complexity of modern production systems makes the use of analytical tools more difficult. Thus a computer simulation model of the existing computer integrated manufacturing system based on the control logic that describes the operation of the system is developed to test the performance of different scheduling rules with respect to mean flow time, machine efficiency and total run time as performance measures. According to the results of experiments, the model agrees with the real system.

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ALIYU, M. D. S. "Analysis and control of a single-item production–inventory system with shortages and back orders." International Journal of Systems Science 29, no. 8 (August 1998): 889–97. http://dx.doi.org/10.1080/00207729808929580.

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Villar-Medina, Israel, Omar López-Ortega, and Roberto Hernández-Gómez. "Implementation of a supervised learning technique in a multi-agent system for building production orders." International Journal of Advanced Manufacturing Technology 40, no. 7-8 (February 5, 2008): 808–18. http://dx.doi.org/10.1007/s00170-008-1387-7.

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Lan, Chun-Hsiung, and Kuo-Chien Liu. "A TIME-PHASED PRODUCTION SCHEDULING SYSTEM FOR MULTIPLE ORDER WITH SINGLE ITEM." Transactions of the Canadian Society for Mechanical Engineering 33, no. 2 (June 2009): 257–70. http://dx.doi.org/10.1139/tcsme-2009-0020.

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A mathematical model which minimizes the production cost of an automatic and networktype multiple-order-production (MOP) system with restriction of time-phased order completion is presented. A step-by-step algorithm is described to find the minimal cost of production. In order to solve the combinatorial problems of the production rate, the machine cost, and numerous machines in parallel at each workstation of the production line, a feedback approach is also applied in the algorithm. An example of a large number of orders which is subdivided into different deadlines is shown to demonstrate the application of the algorithm that results in decreased production cost, enhanced production rate, improved efficiency of the production schedule, and on-time completion of production.

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Monsone, Cristina Rosaria, and János Jósvai. "Challenges of Digital Twin System." Acta Technica Jaurinensis 12, no. 3 (August 27, 2019): 252–67. http://dx.doi.org/10.14513/actatechjaur.v12.n3.514.

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Today’s manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products. The Industry 4.0 conceptualization has several potentials, i.e. flexibility in business and manufacturing processes, where the intelligent and interconnected systems, in particular the Cyber-Physical Production System (CPPS), play a vital role in the whole lifecycle of eco-designed products. In particular, the CPPS represents a suitable way for manufacturers that want to involve their customers, delivering instructions to machines about their specific orders and follow its progress along the production line, in an inversion of normal manufacturing. The development of Info Communication Technologies (ICT) and Manufacturing Science and Technology (MST) enables the innovation of Cyber-Physical Production Systems. However, there are still important challenges that need to be addressed in particular at technological and data analysis level with the implementation of Deep Learning analysis.

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Bzdyra, Krzysztof, Grzegorz Bocewicz, and Zbigniew Banaszak. "Mass Customized Projects Portfolio Scheduling - Imprecise Operations Time Approach." Applied Mechanics and Materials 791 (September 2015): 70–80. http://dx.doi.org/10.4028/www.scientific.net/amm.791.70.

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Declarative framework enabling to determine conditions employed in a decision support systems aimed at small and medium size enterprises involved in a unique, multi project-like and mass customized oriented production is discussed. The unique production orders grouped into the set of portfolio orders is considered. To each production order treated as an activity network of common shared resources, known in advance, however by nature imprecise operation times are allotted. The problem concerns of scheduling of a newly inserted projects portfolio taking into account imprecise operations imposed by a multi–project environment. The answer sought is: Whether a given portfolio can be completed within assumed time period in a manufacturing system in hand? The goal is to provide a declarative model enabling to state a constraint satisfaction problem aimed at multi project-like and mass customized oriented production scheduling. The attached calculation example illustrates the computational efficiency of the proposed solution.

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Wensing, Thomas, and Heinrich Kuhn. "Analysis of production and inventory systems when orders may cross over." Annals of Operations Research 231, no. 1 (February 20, 2014): 265–81. http://dx.doi.org/10.1007/s10479-014-1546-1.

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Budynek, Mateusz, Elżbieta Celińska, Adrianna Dybikowska, Monika Kozak, Joanna Ratajczak, Jagoda Urban, and Karolina Materne. "Strategies of Production Control as Tools of Efficient Management of Production Enterprises." Management Systems in Production Engineering 21, no. 1 (March 1, 2016): 20–24. http://dx.doi.org/10.2478/mspe-03-01-2016.

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Abstract The paper discusses the problem of principle methods of production control as a strategy supporting the production system and stimulating efficient solutions in respect management in production enterprises. The article describes MRP, ERP, JIT, KANBAN and TOC methods and focuses on their main goals, principles of functioning as well as benefits resulting from their application. The methods represent two diverse strategies of production control, i.e. pull and push strategies. Push strategies are used when the plans apply to the first and principle part of production and are based on the demand forecasts. Pull strategies are used when all planning decisions apply to the final stage and depend on the actual demand or orders from customers.

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Krenczyk, Damian. "Automatic Generation Method of Simulation Model for Production Planning and Simulation Systems Integration." Advanced Materials Research 1036 (October 2014): 825–29. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.825.

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In the paper the method of integration of production planning and simulation systems has been presented. An automatic generation method of production systems models has been implemented to integrate the Production Order Verification System (SWZ) for multi-assortment, concurrent production planning) and Enterprise Dynamics simulation system. Submitted methodology allowed the direct generation of simulation models for production systems with the use of data obtained from PPC systems, regardless of the production system structure, flow topology of the production processes and the amount of resources and production orders. Generation of simulation models is performed automatically, allowing the omission of time-and labor-consuming process of building a simulation. In the process of generation of the simulation models, methods of data mapping, transformation and exchange, between heterogeneous computer systems (PPC/DES) using neutral formats and data storing (XML) in conjunction with an intermediate neutral data model have been used. The result of transformation is the input file for simulation systems, containing information about the production system model, together with control procedures. Based on the described methodology, operation algorithms have been developed and the computer software RapidSim, that integrates PPC and DES systems has been presented.

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Lim, Si Yeong, Sun Hur, and You-Jin Park. "Determination of Economic Inventory Quantity under Probabilistic Demands and Cancellation of Orders in Production System with Two Different Production Speeds." Journal of Korean Institute of Industrial Engineers 40, no. 3 (June 15, 2014): 313–20. http://dx.doi.org/10.7232/jkiie.2014.40.3.313.

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Pérez-Salazar, María, Alberto Aguilar-Lasserre, Miguel Cedillo-Campos, Rubén Posada-Gómez, Marco del Moral-Argumedo, and José Hernández-González. "An Agent-Based Model Driven Decision Support System for Reactive Aggregate Production Scheduling in the Green Coffee Supply Chain." Applied Sciences 9, no. 22 (November 15, 2019): 4903. http://dx.doi.org/10.3390/app9224903.

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The aim of this paper is to contribute to the thread of research regarding the need for logistic systems for planning and scheduling/rescheduling within the agro-industry. To this end, an agent-based model driven decision support system for the agri-food supply chain is presented. Inputs in this research are taken from a case example of a Mexican green coffee supply chain. In this context, the decision support agent serves the purposes of deriving useful knowledge to accomplish (i) the decision regarding the estimation of Cherry coffee yield obtained at the coffee plantation, and the Parchment coffee sample verification decision, using fuzzy logic involving an inference engine with IF-THEN type rules; (ii) the production plan establishment decision, using a decision-making rule approach based upon the coupling of IF-THEN fuzzy inference rules and equation-based representation by means of mixed integer programming with the aim to maximize customer service level; and (iii) the production plan update decision using mathematical equations once the customer service level falls below the expected level. Three scenarios of demand patterns were considered to conduct the experiments: increasing, unimodal and decreasing. We found that the input inventory and output inventory vary similar over time for the unimodal demand pattern, not the case for both the increasing and decreasing demand patterns. For the decreasing demand pattern, ten tardy orders for the initial production schedule, an 88% service level, and nineteen tardy orders from the estimated production results, a 77% service level. This value falls below the expected level. Consequently, the updated aggregate production schedule resulted in ten tardy orders and an 88% service level.

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Nobil, Amir Hossein, Leopoldo Eduardo Cárdenas–Barrón, and Erfan Nobil. "Optimal and simple algorithms to solve integrated procurement-production-inventory problem without/with shortage." RAIRO - Operations Research 52, no. 3 (July 2018): 755–78. http://dx.doi.org/10.1051/ro/2017067.

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This research work deals with an imperfect production system considering the purchasing of raw materials in order to study the economic production quantity (EPQ). This manufacturing system produces perfect and defective finished products; defectives are considered as scrap. A single product is manufactured from multiple raw materials which are purchased from outside suppliers. In the integrated procurement-production-inventory (IPPI) model, one of the principal decisions, in addition to determining the optimal lot size to produce, is to define the number of optimal orders of each raw material with respect to rate of consumption in the manufacturing of finished product. Two cases are considered: without shortage (first model) and with shortage (backordering, second model). In the first model, the purpose is to determine jointly the optimal lot size to manufacture and the optimal number orders of each raw material in order to minimize the total cost. The second model obtains the optimal number of orders of each raw material, the optimal lot size to manufacture and the optimal shortage level with aim to minimize the total cost. This research also shows that both of the proposed inventory models are a convex programming problem, so exact algorithms to solve these inventory problems are proposed.

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Piya, Sujan, Mohammad Miftaur Rahman Khan Khadem, and Ahm Shamsuzzoha. "Negotiation based decision support system for order acceptance." Journal of Manufacturing Technology Management 27, no. 3 (April 4, 2016): 443–68. http://dx.doi.org/10.1108/jmtm-04-2015-0023.

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Purpose – The purpose of this paper is to develop a mathematical model of a make-to-order manufacturing company simultaneously negotiating multiple contingent orders that possess conflicting issues in order to achieve order acceptance decisions (OADs). Design/methodology/approach – The paper developed a mathematical model by incorporating probabilistic theory and some theories of negotiation in the OAD problem. The model helps to harness the relationship between the manufacturer and customers of contingent orders on conflicting issues. A numerical example is enumerated to illustrate the working mechanism and sensitivity of the model developed. Findings – In the negotiation-based OAD system, if more than one customer is willing to negotiate on the offer of manufacturer, rather than engaging in one-to-one negotiation, the manufacturer has to negotiate with all the customers simultaneously to maximize the expected contribution and acceptance probability from all the orders. Also, the numerical example illustrates that, sometimes, rejecting an order/orders from the order set gives better results in terms of the expected contribution than continuing negotiations on them. Originality/value – Through continuing research efforts in this domain, certain models and strategies have been developed for negotiation on a one-to-one basis (i.e. negotiation by the manufacture with only one customer at a time). One-to-one negotiation will neither help companies to streamline their production systems nor will it maximize the expected contribution. To the best of the author’s knowledge, so far, this is the first instance of research work in the domain of a joint OAD and negotiation framework that attempts to develop a simultaneous negotiation method for arriving at OADs.

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Journal articles on the topic 'Production system and orders'

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