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Production engineering

About: Production engineering is a research topic. Over the lifetime, 2657 publications have been published within this topic receiving 37409 citations.


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Proceedings ArticleDOI
11 Apr 2012
TL;DR: This paper presents a mixed integer programming model to optimize the production planning for the manufacturer with an objective of minimizing his operation cost and proposes a pseudo-polynomial dynamic programming algorithm to solve the model.
Abstract: This paper studies the production planning for green manufacturing to help manufacturers to determine their emission allowances and emission trading strategy. Under the government emission regulation and the emission trading scheme, the manufacturer plans his production with both an emission limitation in a finite planning horizon and an emission cap in each production period, and trades the emission permits through an outside market. The manufacturer thus prompts emission abatement through technology innovation and has strong motivations to optimize their production planning to cut down his operation cost. We focus on this problem and present a mixed integer programming model to optimize the production planning for the manufacturer with an objective of minimizing his operation cost. We further propose a pseudo-polynomial dynamic programming algorithm to solve the model. We first consider a one-period problem for a given production quantity and a given emission level. This problem can be solved by an algorithm based on dynamic programming. The multi-period problem is solved based on the result of the one-period problem. It is also solved using dynamic programming by allocating the production quantity and an emission level to each of the periods.

11 citations

Journal Article
TL;DR: In this article, the authors proposed a Total Quality Management System for transforming technology called "New JIT, new management technology principle" into effective management strategy, which contains hardware and software systems for transforming management technology into a management strategy.
Abstract: The Japanese management technology that made the biggest impact on the world in the second half of the 20th century were: the Toyota Production System, often also referred to as to Just-In-Time (JIT), which is the most famous Japanese production system; Total Quality Management (TQM). However, as these management technologies became practiced as "lean systems" around the world and were further developed and popularized, they lost their status as unique Japanese systems-and in recent years, the superior quality of Japanese products has rapidly lost ground. To be successful in the future a global marketer must develop an excellent quality management system that can impress consumers and continuously provide excellent quality products in a timely manner through corporate management for manufacturing in the 21st century. The author proposes a Total Quality Management System for transforming technology called "New JIT, new management technology principle" into effective management strategy. This system contains hardware and software systems, as next generation technical principles, for transforming management technology into a management strategy. The hardware system consists of the Total Development System (TDS), Total Production System (TPS) and Total Marketing System (TMS). These are the three core elements required for establishing new management technologies in the marketing, engineering, and production divisions. To improve the workprocess quality of all divisions concerned with development, production, and sales, the author hereby proposes "Science TQM" (TQM by utilizing "Science SQC") as a software system. In addition as a management technology strategy that enables sustainable growth, the author has proposed a "Strategic Stratified Task Team" that will become the driving force of Science TQM. The author believes that the effectiveness of New JIT for the advanced management strategy using High Linkage Model "Advanced TDS, TPS & TMS" has been demonstrated as described herein based on the author's verification conducted at Toyota.IntroductionThe Japanese administrative management technology that contributed the most to the world in the latter half of the 20th century is typified by the Japanese production system represented by the Toyota Production System (TPS). This system was kept at a high level by a manufacturing quality management system generally called JIT (Just in Time) [1].However, a close look at recent corporate management activities reveals various situations where an advanced manufacturer, which is leading the industry, is having difficulty due to unexpected quality related problems. Some companies have slowed down their production engineering development, and are thus facing a crisis of their own survival as a manufacturer. Against this background, improvement of the Japanese administrative management technology is sorely needed at this time [2-4].In the remarkable technologically innovative competition seen today, in order to realize manufacturing that ensures customer first QCD (Quality, Cost and Delivery), it is indispensable to first create a core technology capable of reforming the business process used for the technological development of divisions related to engineering designing. Equally important, even for production related divisions, is to develop new production technologies and establish new process management which, when combined, enable global production [5].In addition, even the product promotion, sales, and service divisions are expected to carry out rationalized marketing activities that are not merely based on past experiences, so that they can strengthen ties with their customers. It is believed that the foundation of corporate survival is to establish a new quality centered management technology that can link the management of the activities carried out by the divisions above with a view to enhance the quality of their business processes [6-7]. Today's Toyota is not an exception when it comes to the necessity described above. …

11 citations

Book ChapterDOI
26 Aug 2013
TL;DR: This work proposes a first version of such an ontology addressing five requirements for the type of knowledge to be captured in ontology, thus providing an appropriate semantic base for intelligent, associative tools that can effectively support ramp-up management of small series manufacturing.
Abstract: We describe the derivation of ontology to capture knowledge regarding small series manufacturing. This work is motivated by use-cases ranging from the assembly of large aircraft built from about 6 million parts to the production of galley inserts, both plagued by problems for arising from the same interplay between product and production engineering. During ramp-up stages of such production, there are challenges of innovative technologies, high quality and safety standards or the structural complexity of products which frequently cause supply-chain problems or require revisions of the designs that result in significant financial losses. These conditions differ significantly from standard production scenarios. Based on a detailed domain analysis, we identify five requirements for the type of knowledge to be captured in ontology, and then proceed to propose a first version of such an ontology addressing these requirements, thus providing an appropriate semantic base for intelligent, associative tools that can effectively support ramp-up management.

11 citations

Journal ArticleDOI
TL;DR: The General Arrangement Design System (GADS) as mentioned in this paper is based on the engineering requirements of the ship arrangement design process and is currently being used as a production engineering tool.
Abstract: The ever increasing complexity of ships coupled with cost, schedule, and resource constraints require innovative methods by the Naval Sea Systems Command's ship design community to meet this challenge. This paper describes the effort by the NavSea Ship Arrangement Design Division to dramatically improve its ship design capability by the use of a system of computer-based design tools called the General Arrangement Design System. The General Arrangement Design System (GADS) is based on the engineering requirements of the ship arrangement design process. GADS is currently being used as a production engineering tool. This paper is organized into two parts. Part I describes the General Arrangement Design System, and Part II describes the general arrangement design methodology.

11 citations

Proceedings Article
21 Oct 2013
TL;DR: The key digital instruments for the tool and die making industry are defined as the result of a recent study by the Laboratory for Machine Tools and Production Engineering at RWTH Aachen University and Capgemini Consulting.
Abstract: The tool and die making industry is one of the most important industries in the manufacturing sector due to its key role in the value chain between product development and mass production. In an increasingly global production environment the tool and die making industry in high wage countries faces margin losses as well as expanding competition from Eastern Europe and Asia. Successful tool and die making companies counter these challenges with global value creation networks. Differentiating factors of efficient value creation networks are the smooth integration into the process chain of product development and mass production as well as the use of sophisticated supplier structures for the manufacturing process. According to latest field research the practical execution of these differentiating factors is not sufficiently addressed by existing approaches for the coordination of value creation networks. However, digitalization offers a capable solution to manage interfaces between entities and reduce complexity of the coordination of value creation networks. A recent study by the Laboratory for Machine Tools and Production Engineering (WZL) at RWTH Aachen University and Capgemini Consulting examines the capability of digital instruments for IT-coordination of value creation networks. This paper defines the key digital instruments for the tool and die making industry as the result of the study.

11 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20234
202210
202126
202025
201923
201857