scholarly journals COST OPTIMIZATION OF PRODUCT FAMILIES USING SOLUTION SPACES

2020 ◽  
Vol 1 ◽  
pp. 1087-1094
Author(s):  
S. Rötzer ◽  
D. Thoma ◽  
M. Zimmermann
Keyword(s):  
Optimal Design ◽  
Economies Of Scale ◽  
Cost Optimization ◽  
Product Family ◽  
Product Families ◽  
Material Cost ◽  
The Cost

AbstractMaximizing the number of shared components does not always produce cost-optimal product families. Shared components can yield economies of scale due to reuse of components, but also increases material cost due to over dimensioning. In this paper, we present an approach to identify a cost-optimal design for product families. It consists of two steps: (1) identifying a scheme to share components in the product family and (2) finding the cost optimal design for the product family.

Algorithm-Based Support for the Redesign of Product Variants

2020 ◽  
Author(s):  
Julian Redeker ◽  
Philipp Gebhardt ◽  
Thomas Vietor
Keyword(s):  
Economies Of Scale ◽  
Graph Matching ◽  
Product Family ◽  
Automated Analysis ◽  
Production Volume ◽  
Scale Production ◽  
Product Families ◽  
First Case ◽  
Subtractive Manufacturing ◽  
Definition Of

Abstract Incremental Manufacturing is a novel manufacturing approach where product variants are manufactured based on a finalization of pre-produced parts through additive and subtractive manufacturing processes. This approach allows a multi-scale production with the possibility to scale product variants as well as the production volume. In order to ensure high economic efficiency of the manufacturing concept, there is a need for pre-produced parts that come as close as possible to the final variant geometries to ensure that only variant-specific features need to be added by additive or subtractive manufacturing steps. Furthermore, to ensure high economies of scale, a high degree of commonality should be ensured for the pre-produced parts manufactured in mass production. In this context, a graph-based method is developed that enables an automated analysis of product families, based on physical and functional attributes, for standardization potentials. The method thus provides support for the strategic definition of pre-produced parts and is embedded in an overall approach for the redesign of products for Incremental Manufacturing. For the demonstration of the approach, which is based on 3D Shape and Graph Matching methods, a first case study is carried out using a guiding bush product family as an example.

Methodology for Solving the Assembly System Reconfiguration Planning Problem

2011 ◽  
Author(s):  
A. Bryan ◽  
S. J. Hu ◽  
Y. Koren
Keyword(s):  
Product Family ◽  
Assembly System ◽  
Assembly Systems ◽  
Planning Problem ◽  
Systems Methodology ◽  
Product Families ◽  
System Reconfiguration ◽  
Reconfiguration Planning ◽  
Successive Generations ◽  
The Cost

The need to cost effectively introduce new generations of product families within ever decreasing time frames have led manufacturers to seek product development strategies with a multigenerational outlook. Co-evolution of product families and assembly systems is a methodology that leads to the simultaneous design of several generations of product families and reconfigurable assembly systems that optimize life cycle costs. Two strategies that are necessary for the implementation of the co-evolution of product families and assembly systems methodology are: (1) The concurrent design of product families and assembly systems and (2) Assembly system reconfiguration planning (ASRP). ASRP is used for the determination of the assembly system reconfiguration plans that minimize the cost of producing several generations of product families. More specifically, the objective of ASRP is to minimize the net present cost of producing successive generations of products. This paper introduces a method for finding optimum solutions to the ASRP problem. The solution methodology involves the generation of a staged network of assembly system plans for all the generations that the product family is expected to be produced. Each stage in the network represents a generation that the product family is produced, while each state within a stage represents a potential assembly system configuration. A novel algorithm for generating the states (i.e. assembly system configurations) within each generation is also introduced. A dynamic program is used to find the cost minimizing path through the network. An example is used to demonstrate the implementation of the ASRP methodology.

Designing Product Families With Competition: A Design for Market Systems Approach

2009 ◽  
Author(s):  
Peyman Karimian ◽  
Jeffrey W. Herrmann
Keyword(s):  
Economies Of Scale ◽  
Original Problem ◽  
Systems Approach ◽  
Product Family ◽  
Optimal Solution ◽  
Product Families ◽  
Customer Preferences ◽  
Manufacturing Productivity ◽  
Zero Sum ◽  
Design For Market Systems

Manufacturing firms use product families to provide variety while maintaining economies of scale to improve manufacturing productivity. Designing a successful product family requires consideration of both customer preferences and the competition. This paper presents a design for market systems approach to product family design and solves the problem of designing a product family when the competition is simultaneously designing its product family. In particular, the problem is formulated as a two-player zero-sum game. Our analysis of this problem shows that it can be separated into multiple subproblems whose solution provides an optimal solution to the original problem. The paper presents an example to illustrate the approach.

Platform Selection Under Performance Loss Constraints in Optimal Design of Product Families

2002 ◽  
Author(s):  
Ryan Fellini ◽  
Michael Kokkolaras ◽  
Panos Y. Papalambros ◽  
Alexis Perez-Duarte
Keyword(s):  
Optimal Design ◽  
Design Problem ◽  
Product Family ◽  
Individual Performance ◽  
Optimal Design Problem ◽  
Product Families ◽  
Performance Loss ◽  
Trade Offs ◽  
Pareto Sets ◽  
Different Levels

Designing a family of product variants that share some components usually entails a performance loss relative to the individually optimized variants due to the commonality constraints. Choosing components for sharing may depend on what performance losses can be tolerated. This article presents a methodology for making commonality decisions while controlling individual performance losses. Previous work focused on evaluating individual performance losses due to pre-specified sharing. Trade-offs were identified for different platforms (i.e., the sets of components shared among products) by means of Pareto sets. In the present work an optimal design problem is formulated to choose product components to be shared without exceeding a user-specified performance loss tolerance. This enables the designer to control trade-offs and obtain optimal product family designs for different levels of performance losses in an attempt to maximize commonality. A family of automotive side frames is used to demonstrate the approach.

Optimal Design for Conventional Wastewater Treatment Systems using a Computing Language MATLAB R2012a

2017 ◽  
Vol 5 (1) ◽  
pp. 16-21 ◽  
Author(s):  
Nikhil Bhatia ◽  
◽  
Lalsangzela Sailo ◽  
Keyword(s):  
Wastewater Treatment ◽  
Optimal Design ◽  
Cost Optimization ◽  
Treatment Plant ◽  
Mathematical Functions ◽  
Rapid Urbanization ◽  
Design Problems ◽  
The Cost ◽  
User Friendly ◽  
Dimension Constraint

In the present scenario of rapid urbanization, the demand for wastewater treatment is continuously increasing. The majority of research in the field of wastewater treatment plant (WWTP) is focusing on its modeling part. The design of WWTP is developed using professional quality software packages which incorporate the fundamental concepts with the key engineering principles. With the aim to obtain an optimal design, in this study a novel Decision Support System (DSS) is developed for the preliminary units integrating screening chamber, grit chamber and equalization tank with primary sedimentation tank as the primary process and activated sludge process, trickling filter and rotating biological contactor as different types of the secondary units of Wastewater Treatment System using a computing language MATLAB R2012a. DSS is a comprehensive and user-friendly program which could incorporate most of the theoretical and practical constraints. One of the major concerns of DSS is the dimension constraint for the design and operation of WWTP. DSS incorporates miscellaneous mathematical functions and the code to develop a user-desired design. The applicability of the DSS model is illustrated through the various design problems. The design developed will support the future growth and development of the cost optimization models for WWTP.

scholarly journals INTRODUCING A FRAMEWORK TO GENERATE AND EVALUATE THE COST EFFECTS OF PRODUCT (FAMILY) CONCEPTS

2021 ◽  
Vol 1 ◽  
pp. 1907-1916
Author(s):  
Kai G. Mertens ◽  
Mark Schmidt ◽  
Tugba Yildiz ◽  
Matthias Meyer
Keyword(s):  
Selection Criteria ◽  
Product Family ◽  
New Product ◽  
Economic Consequences ◽  
Concept Generation ◽  
Product Families ◽  
Product Concept ◽  
Virtual Testbed ◽  
The Cost ◽  
Product Concepts

AbstractProduct concept generation and evaluation are critical for the success of new product developments (NPD) because managers need to select the most profitable product concepts. However, current approaches can be restricted to single products and do not cover product families' effects. Similarly, they do not necessarily capture all requirements and usually lack extensive cost analyses. Thus, this paper proposes a framework supporting product concept generation and evaluation by providing an accessible conceptualization to overcome the limitations. Using the so-called Extended Axiomatic Design (EAD) supports designers and managers to configure the requirements across product concepts' various domains while concurrently evaluating their economic consequences. The study applies the framework on a simplified case of a bottle manufacturer to conceptualize four product concepts. The case illustrates how the EAD can be used as a virtual testbed to generate and evaluate new product concepts. Finally, designers and managers can make more informed decisions about product concepts by considering their economic and engineering selection criteria to select the most profitable NPD project configuration.

Marginal assessment of the cost and benefits of aphasia treatment: Evidence from community-based telerehabilitation treatment for aphasia

2021 ◽  
pp. 1357633X2098277
Author(s):  
Molly Jacobs ◽  
Patrick M Briley ◽  
Heather Harris Wright ◽  
Charles Ellis
Keyword(s):  
Cost Effectiveness ◽  
Economies Of Scale ◽  
Reference Group ◽  
Unit Cost ◽  
Community Based ◽  
Face To Face ◽  
Conduction Aphasia ◽  
Aphasia Treatment ◽  
The Cost ◽  
The Relationship

Introduction Few studies have reported information related to the cost-effectiveness of traditional face-to-face treatments for aphasia. The emergence and demand for telepractice approaches to aphasia treatment has resulted in an urgent need to understand the costs and cost-benefits of this approach. Methods Eighteen stroke survivors with aphasia completed community-based aphasia telerehabilitation treatment, utilizing the Language-Oriented Treatment (LOT) delivered via Webex videoconferencing program. Marginal benefits to treatment were calculated as the change in Western Aphasia Battery-Revised (WAB-R) score pre- and post-treatment and marginal cost of treatment was calculated as the relationship between change in WAB-R aphasia quotient (AQ) and the average cost per treatment. Controlling for demographic variables, Bayesian estimation evaluated the primary contributors to WAB-R change and assessed cost-effectiveness of treatment by aphasia type. Results Thirteen out of 18 participants experienced significant improvement in WAB-R AQ following telerehabilitation delivered therapy. Compared to anomic aphasia (reference group), those with conduction aphasia had relatively similar levels of improvement whereas those with Broca’s aphasia had smaller improvement. Those with global aphasia had the largest improvement. Each one-point of improvement cost between US$89 and US$864 for those who improved (mean = US$200) depending on aphasia type/severity. Discussion Individuals with severe aphasia may have the greatest gains per unit cost from treatment. Both improvement magnitude and the cost per unit of improvement were driven by aphasia type, severity and race. Economies of scale to aphasia treatment–cost may be minimized by treating a variety of types of aphasia at various levels of severity.

scholarly journals Design of Personalized Devices—The Tradeoff between Individual Value and Personalization Workload

2020 ◽  
Vol 11 (1) ◽  
pp. 241
Author(s):  
Juliane Kuhl ◽  
Andreas Ding ◽  
Ngoc Tuan Ngo ◽  
Andres Braschkat ◽  
Jens Fiehler ◽  
...  
Keyword(s):  
Customer Value ◽  
Early Stage ◽  
Treatment Success ◽  
Product Family ◽  
Flow Diverter ◽  
New Method ◽  
Product Families ◽  
Wide Range ◽  
The Individual ◽  
Individual Value

Personalized medical devices adapted to the anatomy of the individual promise greater treatment success for patients, thus increasing the individual value of the product. In order to cater to individual adaptations, however, medical device companies need to be able to handle a wide range of internal processes and components. These are here referred to collectively as the personalization workload. Consequently, support is required in order to evaluate how best to target product personalization. Since the approaches presented in the literature are not able to sufficiently meet this demand, this paper introduces a new method that can be used to define an appropriate variety level for a product family taking into account standardized, variant, and personalized attributes. The new method enables the identification and evaluation of personalizable attributes within an existing product family. The method is based on established steps and tools from the field of variant-oriented product design, and is applied using a flow diverter—an implant for the treatment of aneurysm diseases—as an example product. The personalization relevance and adaptation workload for the product characteristics that constitute the differentiating product properties were analyzed and compared in order to determine a tradeoff between customer value and personalization workload. This will consequently help companies to employ targeted, deliberate personalization when designing their product families by enabling them to factor variety-induced complexity and customer value into their thinking at an early stage, thus allowing them to critically evaluate a personalization project.

scholarly journals Diversity minimization through part combination – a Portuguese railway infrastructure case study

2020 ◽  
Vol 7 (1) ◽  
pp. 86-94
Author(s):  
Diogo Rechena ◽  
Luís Sousa ◽  
Virgínia Infante ◽  
Elsa Henriques
Keyword(s):  
Economies Of Scale ◽  
Product Family ◽  
Cost Effective ◽  
Added Value ◽  
Small Scale ◽  
Railway Infrastructure ◽  
Sustainable Services ◽  
Market Needs ◽  
Design Diversity ◽  
Requirement Changes

Abstract With increasing market needs for product and service variety, companies struggle to provide diversity in cost-effective ways. Through standardization of components with a low perceived added value, companies can take advantage of economies of scale while maintaining product diversity. Railway infrastructure managers face similar challenges of providing economically sustainable services while dealing with the costs of maintaining the system diversity. Typically, unintended design diversity stems from design practices in which existing solutions are not reused for new problems and new solutions are rarely planned considering the dynamics of requirement changes. In this paper we provide a methodology to assess how to standardize different designs to minimize design diversity and to assess design divergence in a product family. The developed methodology is able to take into account any set of standardization compatibility constraints that the user can define. The methodology was applied in the context of a small-scale railway infrastructure manager using a dataset of 223 unique designs of functionally similar components from its electrification system. Depending on the activated compatibility constraints, results indicate that over 60% of components can be reduced to a set of 86 unique designs.

Cost Optimization of Net-Zero Energy House

2007 ◽  
Author(s):  
George A. Mertz ◽  
Gregory S. Raffio ◽  
Kelly Kissock
Keyword(s):  
Energy Use ◽  
Cost Optimization ◽  
Building Design ◽  
Building Energy ◽  
Zero Energy ◽  
Resource Limitations ◽  
Net Zero Energy ◽  
Net Zero ◽  
Building Energy Use ◽  
The Cost

Environmental and resource limitations provide increased motivation for design of net-zero energy or net-zero CO2 buildings. The optimum building design will have the lowest lifecycle cost. This paper describes a method of performing and comparing lifecycle costs for standard, CO2-neutral and net-zero energy buildings. Costs of source energy are calculated based on the cost of photovoltaic systems, tradable renewable certificates, CO2 credits and conventional energy. Building energy simulation is used to determine building energy use. A case study is conducted on a proposed net-zero energy house. The paper identifies the least-cost net-zero energy house, the least-cost CO2 neutral house, and the overall least-cost house. The methodology can be generalized to different climates and buildings. The method and results may be of interest to builders, developers, city planners, or organizations managing multiple buildings.

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