A mathematical programming tool for LCI-based product design and case study for a carpet product

2011 ◽  
Vol 19 (12) ◽  
pp. 1347-1355 ◽  
Author(s):  
Di Lu ◽  
Michael Overcash ◽  
Matthew J. Realff
Keyword(s):  
Mathematical Programming ◽  
Product Design ◽  
Programming Tool

scholarly journals Cyber-Empathic Design: A Data Driven Framework for Product Design

2016 ◽  
Author(s):  
Dipanjan D. Ghosh ◽  
Junghan Kim ◽  
Andrew Olewnik ◽  
Arun Lakshmanan ◽  
Kemper E. Lewis
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
Design Space ◽  
Equation Modeling ◽  
Design Decision ◽  
Interaction Data ◽  
Model Framework ◽  
Empathic Design ◽  
Product Interaction

One of the critical tasks in product design is to map information from the consumer space to the design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way current methodologies lack provision to test a designer’s cognitive reasoning and could therefore introduce bias while mapping from consumer to design space. Also, current dominant frameworks do not include user-product interaction data in design decision making and neither do they assist designers in understanding why a consumer has a particular perception about a product. This paper proposes a new framework — Cyber-Empathic Design — where user-product interaction data is acquired via embedded sensors in the products. To understand the motivations behind consumer perceptions, a network of latent constructs is used which forms a causal model framework. Structural Equation Modeling is used as the parameter estimation and hypothesis testing technique making the framework falsifiable in nature. To demonstrate the framework and demonstrate its effectiveness a case study of sensor integrated shoes is presented in this work, where two models are compared — one survey based and using the Cyber-Empathic framework model. It is shown that the Cyber-Empathic framework results in improved fit. The case study also demonstrates the technique to test a designers’ cognitive hypothesis.

Product Form Evolution

2011 ◽  
pp. 499-512 ◽  
Author(s):  
Andrew Muir Wood ◽  
James Moultrie ◽  
Claudia Eckert
Keyword(s):  
Product Design ◽  
Development Strategies ◽  
Consumer Perception ◽  
Product Form ◽  
Design Teams ◽  
Design Strategies ◽  
Structured Interviews ◽  
Product Forms ◽  
Over Time

Companies are coming round to the idea that function and form are complimentary factors in improving the user’s experience of a product and competing in today’s saturated consumer goods markets. However, consumer perception of form is constantly changing, and this manifests itself in the evolving forms of the products that they adopt. From clothes to cameras to cars, change in form is inevitable, and design teams must account for these trends in their product design and development strategies. Through literature, semi-structured interviews with design and trend practitioners, and an archival case study of mobile phone evolution, the authors have developed theories about the continuities that occur in product forms over time, and the forces that can disrupt this behaviour. They then go on to suggest how this view of form as evolving trajectories can benefit future product design strategies.

Integration between Mathematical Programming and Fuzzy Logic to Optimize Consumers Behavior

2015 ◽  
pp. 1600-1615 ◽  
Author(s):  
Hamed Fazlollahtabar ◽  
Amir Mansoor Tehranchian
Keyword(s):  
Fuzzy Logic ◽  
Nonlinear Programming ◽  
Mathematical Programming ◽  
Quantitative Method ◽  
Sensitivity Study ◽  
Statistical Analyses ◽  
Effective Parameters ◽  
Qualitative Nature ◽  
Fuzzy Linguistic

The concept of utility is used as a decision tool for consumers to choose a commodity. Analyzing consumer behavior is complicated due to the qualitative nature of the utility. Hence, this paper investigates a quantitative method to evaluate the utility of consumers. The methodology is based on linguistic expressions of fuzzy logic. Initially, the authors identify different parameters being effective on utility of a consumer. Then, using fuzzy linguistic expressions the quantitative value of utility are determined. Also some statistical analyses are set to investigate the effective parameters on the utility. Consequently, the optimization is done applying mathematical nonlinear programming. Some analysis is performed as sensitivity study. A case study is conducted to verify the applicability and effectiveness of the proposed methodology.

scholarly journals Design for and from Recycling: A Circular Ecodesign Approach to Improve the Circular Economy

2020 ◽  
Vol 12 (23) ◽  
pp. 9861
Author(s):  
Jorge Martínez Leal ◽  
Stéphane Pompidou ◽  
Carole Charbuillet ◽  
Nicolas Perry
Keyword(s):  
Product Design ◽  
End Of Life ◽  
Circular Economy ◽  
Raw Materials ◽  
Time Lag ◽  
Design Guidelines ◽  
Design Phase ◽  
Design For Recycling ◽  
Circular Design

In the context of a circular economy, one can observe that (i) recycling chains are not adapted enough to the end-of-life products they have to process and that (ii) products are not sufficiently well designed either to integrate at best their target recycling chain. Therefore, a synergy between product designers and recycling-chains stakeholders is lacking, mainly due to their weak communication and the time-lag between the product design phase and its end-of-life treatment. Many Design for Recycling approaches coexist in the literature. However, to fully develop a circular economy, Design from Recycling also has to be taken into account. Thus Re-Cycling, a complete circular design approach, is proposed. First, a design for recycling methodology linking recyclability assessment to product design guidelines is proposed. Then, a design from recycling methodology is developed to assess the convenience of using secondary raw materials in the design phase. The recyclability of a smartphone and the convenience of using recycled materials in a new cycle are both analyzed to demonstrate our proposal. The Fairphone 2® and its treatment by the WEEE French takeback scheme are used as a case study.

scholarly journals Mathematical programming models for agri-environmental policy analysis: A case study from the White Carpathians

2012 ◽  
Vol 52 (No. 2) ◽  
pp. 51-66 ◽  
Author(s):  
P. Havlík ◽  
F. Jacquet ◽  
Boisson J-M ◽  
S. Hejduk ◽  
P. Veselý
Keyword(s):  
Mathematical Programming ◽  
Programming Model ◽  
Mathematical Programming Model ◽  
The Czech Republic ◽  
Environmental Goods ◽  
Environmental Good ◽  
Environmental Policy Analysis ◽  
Grassland Biodiversity ◽  
White Carpathians

BEGRAB_PRO.1 – a mathematical programming model for BEef and GRAssland Biodiversity PRoduction Optimisation – elaborated for analysis of organic suckler cow farms in the Protected Landscape Area White Carpathians, the Czech Republic, is presented and applied to the analysis of jointness between several environmental goods. In this way, the paper complements recent studies on jointness between commodities and non-commodities. If these goods are joint in production, agri-environmental payments must be carefully designed because they do not influence only production of the environmental good they are intended for but also the production of other environmental goods. If jointness is negative, any increase in the payment for an environmental good leads to a decrease in production of other environmental goods.

scholarly journals Two-Stage Robust Optimization for the Orienteering Problem with Stochastic Weights

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ke Shang ◽  
Felix T. S. Chan ◽  
Stephen Karungaru ◽  
Kenji Terada ◽  
Zuren Feng ◽  
...  
Keyword(s):  
Mathematical Programming ◽  
Robust Optimization ◽  
Comparative Studies ◽  
Complex Model ◽  
Orienteering Problem ◽  
Two Stage ◽  
Second Stage ◽  
Robust Model ◽  
Uncertainty Set

In this paper, the two-stage orienteering problem with stochastic weights is studied, where the first-stage problem is to plan a path under the uncertain environment and the second-stage problem is a recourse action to make sure that the length constraint is satisfied after the uncertainty is realized. First, we explain the recourse model proposed by Evers et al. (2014) and point out that this model is very complex. Then, we introduce a new recourse model which is much simpler with less variables and less constraints. Based on these two recourse models, we introduce two different two-stage robust models for the orienteering problem with stochastic weights. We theoretically prove that the two-stage robust models are equivalent to their corresponding static robust models under the box uncertainty set, which indicates that the two-stage robust models can be solved by using common mathematical programming solvers (e.g., IBM CPLEX optimizer). Furthermore, we prove that the two two-stage robust models are equivalent to each other even though they are based on different recourse models, which indicates that we can use a much simpler model instead of a complex model for practical use. A case study is presented by comparing the two-stage robust models with a one-stage robust model for the orienteering problem with stochastic weights. The numerical results of the comparative studies show the effectiveness and superiority of the proposed two-stage robust models for dealing with the two-stage orienteering problem with stochastic weights.

An Analysis of the Traveling Speed in the Traveling Hoist Scheduling Problem for Electroplating Processes

2020 ◽  
pp. 404-423
Author(s):  
José Itzcoatl Gomar-Madriz ◽  
Salvador Hernandez-González ◽  
Jaime Navarrete-Damián
Keyword(s):  
Mathematical Programming ◽  
Cycle Time ◽  
Production Line ◽  
Nonlinear Behavior ◽  
Scheduling Problem ◽  
Hoist Scheduling ◽  
Basic Diagram ◽  
Sequence Of Movements ◽  
Traveling Speed

The Hoist Scheduling Problem is combinatory, so tools such as mathematical programming need to be used to get the sequence of movements, respecting the constraints of the process by minimizing the cycle time. A sequence in which the order of movements follows the order of the process is known as the basic diagram. These schedules do not have any clearance for the hoist to make any other movements, resulting in a loss in productivity. This chapter takes the production line of a Mexican factory as a case study, analyzing the hoist's travelling speed to find sequences of movements that could improve productivity. The results of the study indicate that the cycle time has a nonlinear behavior in respect of the hoist's travelling speed and it was determined that there are travelling speeds for which sequences are obtained with enough clearance to make other movements and keep other carriers on the line. A suitable speed was estimated in the case.

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