Learning from the lifecycle:The capabilities and limitations of current product lifecycle practice and systems

Design teams within the High Value Low Volume (HVLV) industry are facing ever-increasing challenges in developing new products. This has been largely due to the paradigm shift towards Product Service Systems, the growing importance of demonstrating Corporate Social Responsibility and stricter environmental legislation. With the variant nature of the design process within the HVLV industry and the longevity of the product life-cycles, it is recognised that learning from previous products is essential for new product innovation and development. The ability to do this depends upon the company’s product lifecycle practice and systems, and its inherent capability/limitations. To explore these issues, this paper maps typical data and information flow and the Information Systems involved, onto a generalised product lifecycle for HVLV. The map is generated from an extensive literature review and is used to critically appraise and reflect upon current product data lifecycle practice. In particular, its capability to provide design teams in the HVLV industries with sufficient data and information throughout the lifecycle phases of existing products to inform variant product design is considered

Learning from the lifecycle: The current capabilities and limitations of product lifecycle practice and systems

Design teams within the High Value Low Volume (HVLV) industry are facing ever-increasing challenges in developing new products. This has been largely due to the paradigm shift towards Product Service Systems, the growing importance of demonstrating Corporate Social Responsibility and stricter environmental legislation. With the variant nature of the design process within the HVLV industry and the longevity of the product life-cycles, it is recognised that learning from previous products is essential for new product innovation and development. The ability to do this depends upon the company’s product lifecycle practice and systems, and its inherent capability/limitations. To explore these issues, this paper maps typical data and information flow and the Information Systems involved, onto a generalised product lifecycle for HVLV. The map is generated from an extensive literature review and is used to critically appraise and reflect upon current product data lifecycle practice. In particular, its capability to provide design teams in the HVLV industries with sufficient data and information throughout the lifecycle phases of existing products to inform variant product design is considered

Solving Weighted Number of Operation Plus Processing Time Due-Date Assignment, Weighted Scheduling and Process Planning Integration Problem Using Genetic and Simulated Annealing Search Methods

Traditionally, the three important manufacturing functions, which are process planning, scheduling and due-date assignment, are performed separately and sequentially. For couple of decades, hundreds of studies are done on integrated process planning and scheduling problems and numerous researches are performed on scheduling with due date assignment problem, but unfortunately the integration of these three important functions are not adequately addressed. Here, the integration of these three important functions is studied by using genetic, random-genetic hybrid, simulated annealing, random-simulated annealing hybrid and random search techniques. As well, the importance of the integration of these three functions and the power of meta-heuristics and of hybrid heuristics are studied

Multi-agent based beam search for intelligent production planning and scheduling

Production planning and scheduling is a long standing research area of great practical value, while industrial demand for production planning and scheduling systems is acute. Regretfully, most research results are seldom applied in industry because existing planning and scheduling methods can barely meet the requirements for practical applications. This paper identifies four major requirements, namely generality, solution quality, computation efficiency, and implementation difficulty, for practical production planning and scheduling methods. Based on these requirements, method, a multi-agent based beam search (MABBS), is developed. It seamlessly integrates the multi-agent system (MAS) method and beam search (BS) method into a generic multi-stage multi-level decision making (MSMLDM) model to systematically address all the four requirements within a unified framework. A script language, called EXASL, and an open software platform are developed to simplify the implementation of the MABBS method. For solving complex real-world problems, an MABBS-based prototype production planning, scheduling and execution system is developed. The feasibility and effectiveness of this study is demonstrated with the prototype system and computation experiments. © 2010 Taylor & Francis.postprin

http://jims.atu.ac.ir/article_7033_e22b2cad9926cb59492fdf3db999687c.pdf

One of the important issues to reducing waste and therefore increasing productivity in manufacturing enterprises is good production layout. Organizations can make production flow layouts productive by following up lean thinking model, thereby producing final products with minimal waste. This paper aims to provide a model to aid industry managers’ decision-making process for choosing the most appropriate production flow layout pattern with respect to the amount of waste in production units. This model considers inventory level, transport, lead time and product quality. To evaluate and choosing layouts based on the forgoing criteria, a fuzzy inference system was employed. The system input is rating of each layout of production flow for each criterion, which was obtained by ANP method, and its output is the amount of waste of each layout for production flow. In order to simulate the proposed fuzzy inference system, Matlab software was utilized. Finally, product layout with a quantitative difference compared to group technology (cellular) layout, took up the least amount of waste and was considered as the most suitable of lean production flow layout for the case firm