Production engineering

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

Moving forward: assessment of competitive strategies and business excellence in the Turkish manufacturing industry: a benchmarking study

Abstract: Moving Forward: Assessment of Competitive Strategies, Business Excellence and Technology Management in the Turkish Manufacturing Industry: A Benchmarking Study aims to explore the state of business excellence in the manufacturing industry in Turkey and to draw some conclusions concerning possible near future developments. It is based on several sectoral benchmarking studies conducted in the manufacturing industries in Turkey.

Feasibility of an assembly line layout automatic configuration based on a KBE approach

Abstract: Design of assembly lines is a knowledge intensive process relying significantly on experience of designers and engineers, lessons learned and complex sets of rules. This complicated design process is associated with high costs, long lead times and high probability of risks and reworks. Knowledge Based Engineering (KBE) and knowledge representation techniques are considered to be a successful way to tackle this design problem. This paper presents a methodology to support the configuration of assembly lines, mitigating risks and costs by introducing a best practice for global production systems provider companies. A set of system engineering rules is extracted from interviews and domain best practices and knowledge about product domain and design process is formalized. These rules will be implemented in a user-friendly platform allowing the design of first phase line layout by taking the defined system requirements (e.g. cycle time) as input. Then, the KBE approach is extended to a specific case study taken from the powertrain sector. Here, the collected knowledge on an assembly line and its design process is presented

“Product-Process-Machine” System Modeling: Approach and Industrial Case Studies

Abstract: Global trends in the worldwide economy lead to new challenges for manufacturing enterprises and to new requirements regarding modeling industrial organizations, like integration of real-time information from operations and information about neighboring enterprises in the value network. Consequently, there is a need to design new, knowledge-based workflows and supporting software systems to increase efficiency of designing and maintaining new product ranges, production planning and manufacturing. The paper presents an approach to a specific aspect of enterprise modeling, product-process-machine modeling, derived from two real life case studies. It assumes ontology-based integration of various information sources and software systems and distinguishes four levels. The upper two levels (levels of product manager and product engineer) concentrate on customer requirements and product modeling. The lower two levels (levels of production engineer and production manager) focus on production process and production equipment modeling.