Production engineering

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

Computer-aided manufacturing

Abstract: From the Publisher: This book presents an in-depth introduction to CIM and flexible or programmable manufacturing systems, from product design to manufacturing control Industrial Engineering Second Edition presents the scientific foundations for understanding the issues and technologies of modern CAM and related design and system planning activities The book covers the major topics of CAM and CAD, from introductory to advanced while considering manufacturing hardware and software, manufacturing systems and devices, automation, flexible automation, and computers in manufacturing It presents an integrated view of engineering so that readers may gain a complete view of product design and development The second edition of Industrial Engineering has been revised to include expanded coverage of Computer Aided Design, Tooling and Fixturing, Programmable Logic Controllers, and Concurrent Engineering; while coverage of AI in Manufacturing and CAPP Systems has been deleted A valuable resource for any professional who needs to stay ahead of the latest issues and technology related to computer-aided design and manufacturing

Scenario Management: An Interdisciplinary Approach

Abstract: Scenario management (SM) means different things to different people, even though everyone seems to admit its current importance and its further potential. In this paper, we seek to provide an interdisciplinary framework for SM from three major disciplines that use scenarios – strategic management, human–computer interaction, and software and systems engineering – to deal with description of current and future realities. In particular, we attempt to answer the following questions: How are scenarios developed and used in each of the three disciplines? Why are they becoming important? What are current research contributions in scenario management? What are the research and practical issues related to the creation and use of scenarios, in particular in the area of requirements engineering? Based on brainstorming techniques, this paper proposes an interdisciplinary definition of scenarios, frameworks for scenario development, use and evaluation, and directions for future research.

Research challenges in process systems engineering

Abstract: Introduction Companies must design and operate chemical processes effectively and efficiently so they may survive in today’s highly competitive world. Providing the methods, tools and people that allow industry to meet its needs by tying science to engineering is a compelling aspect of Process Systems Engineering (PSE). Despite the importance of the PSE, the scope and research of this area are often not well understood. One of the major reasons is that chemical engineering has evolved over the past five decades from being an engineering discipline rooted in the concept of unit operations to one based on engineering science and mathematics, and most recently to one with increasing ties to the natural sciences. This very significant change in emphasis has created a gap between the science-based and the systems-based research in chemical engineering. We argue here that this gap might be closed in two ways: first, by broadening the definition of Process Systems Engineering through the introduction of the concept of the “chemical supply chain,” and second, by gaining a better appreciation of the intellectual research challenges in this area. We address this last issue by discussing the nature and major accomplishments of the PSE area and outlining emerging research directions.

Hierarchical Production Planning: A Single Stage System

Abstract: This paper presents a hierarchical approach to plan and schedule production in a manufacturing environment that can be modeled as a single stage process. Initially, the basic tradeoffs inherent to production planning decisions are represented by means of an aggregate model, which is solved on a rolling horizon basis. Subsequently, the first solution of the aggregate plan is disaggregated, considering additional cost objectives and detailed demand constraints. Several improvements in the methodology related to hierarchical production planning are suggested. Special attention is given to alternative disaggregation procedures, problems of infeasibilities, and the treatment of high setup costs. Computational results, based on real life data, are presented and discussed.