|Ph.D Student||Stiassnie Eli|
|Subject||Modularization and Maintenance Scheduling of Sustainable|
|Department||Department of Mechanical Engineering||Supervisor||Professor Emeritus Moshe Shpitalni|
|Full Thesis text|
Manufacturing today is in the throes of change, as it is driven on the one hand by excess manufacturing capacity and the consequent increase in competition, and on the other hand by rising environmental awareness and legislation. One approach for dealing with this conflict is to shift from selling products to selling services. Indeed, more and more engineering companies are moving from system delivery to system lifecycle service support, whereby manufacturers supply systems and support them throughout their lifecycles. Furthermore, while selling services rather than products offers major benefits, it also requires new system design considerations and new business and operational models. Technological advancement and improved product performance control are needed to provide more sophisticated and intelligent maintenance and upgrades under manufacturer warranty throughout the extended system lifecycles. Manufacturer warranties that extend over the entire life span of the product as well as growing environmental considerations necessitate changes in design approach and practice. This research focuses on aspects of system design and on possibilities for maintaining system functionalities over extended periods, while effectively incorporating lifecycle considerations. Since systems tend to have different levels of architectural modularization, adopting an efficient modular structural design may offer many advantages for service-oriented systems, such as: (a) improved control of product complexity, (b) quick maintenance, repair, disassembly and recycling procedures, and (c) the opportunity to reintroduce refurbished modules into new or active systems. This research proposes a five-stage methodology for systematic system modularization based on Axiomatic Design principles and on Design Structure Matrix reordering and clustering tools. The goal of the proposed methodology is to support the process of designing a sustainable modular system with an optimized module-based product-service plan. The methodology incorporates systematic design principles together with environmental and cost performance assessment tools, enabling the optimization of a product concept already at preliminary design stages and facilitates a quantitative examination of product behavior based on quantifiable structured models and tools. To demonstrate the method's capacity to facilitate the objectives, we have applied it to a case study. This case study validates the ability of the proposed approach to provide a structured method for analyzing and enhancing overall system performance and product life span.