Tolerance Specification Optimization for Economic and Ecological Sustainability

Hoffenson, Steven; Dagman, Andreas; Söderberg, Rikard

doi:10.1007/978-3-642-30817-8_85

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…These intelligent gadgets may also come with a thorough production information log. This record can be extremely helpful to product developers in optimising maintenance procedures, making forecasts, and designing better products [14].…”

Section: Productsmentioning

confidence: 99%

Design and Development of IIOT Based Prototype Model by Using Machine Learning Techniques for Workflow Management in Industry 4.0

Nirmala N Kamble,

Nirmala N Kamble

2024

jes

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Manufacturing is undergoing a revolutionary shift known as Industry 4.0 (I4.0), which unifies production and business operations through data-driven End-to-End digital integration. I4.0 goes beyond the digital ecosystem of the Third Industrial Revolution to include autonomous tech-human convergence and real-time data interchange. The Industrial Internet of Things (IIoT) and machine learning are driving breakthroughs in cyber-physical systems, which form the basis of this. In order to advance I4.0, technology and human talents must be balanced. It is essential to upskill the workforce and engage in coordinated transdisciplinary activities. A holistic approach, integrating human factors and tech advancements, ensures smooth automation transition. The proposed study introduces a cost-effective liquid filling system based on a Raspberry Pi, addressing automation challenges for smaller firms.

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Section: Productsmentioning

confidence: 99%

Design and Development of IIOT Based Prototype Model by Using Machine Learning Techniques for Workflow Management in Industry 4.0

Nirmala N Kamble,

Nirmala N Kamble

2024

jes

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“…Tolerance allocation not only impacts the economic aspect of the business but also has an impact on the ecological aspect of a business. The looser tolerances would hinder the ease of assembly and functionality of the product and this might lead to an increase in the number of discarded parts without completing their expected life [10], [11]. Also, the tighter tolerance part cannot be reused, repurposed, or recycled easily because little damage to the part during the disassembly might lead to scrapping the entire part.…”

Section: Reuse Stagementioning

confidence: 99%

“…Sustainability can be measured in Environment Load Units (ELU). Hoffenson et al [11] suggest that in this rating system, one ELU is equivalent to an environmental damage cost of one Euro. In scenarios of reuse, assign negative ELUs as the reusing resources reduce the future need to produce usable materials from raw minerals.…”

Section: Reuse Stagementioning

confidence: 99%

Tolerance Allocation Considering Multiple Phases of the Product Life Cycle for Optimum Cost, Performance, and Sustainability Using the HEIM Framework

Dorna,

Revuru,

Zhang

2023

Engineering Science & Technology

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Tolerance allocation is usually considered only at the stages when designers are designing the product and manufacturing/process engineers are forming a process flow for manufacturing the product. In this paper, the tolerances for a product are allocated considering the most crucial stages of manufacturing, quality, use, and reuse stages of a product life cycle. This approach helps to sustainably allocate the tolerances. A framework with an example of alternatives with attributes - cost, performance, and sustainability is discussed to achieve the intended tolerance allocation by considering multiple stages of the life cycle using the Hypothetical Equivalents and Inequivalents Method (HEIM). HEIM allocated the weightage to different parameters. In this case, HEIM is used to give weightage for different stages of the product life. This helps to allocate the tolerances with due importance to each stage. This is the main contribution of this paper as the application of HEIM for tolerance allocation is not found in the literature. Extending this framework to products like mobile phones, laptops, watches, etc. would help to avoid the redesigning of the product in the future for making it efficient in terms of cost, performance, and sustainability. Also, using this concept products can be reused with liberalized tolerances to obtain the same performance as new ones leading to cost savings and improving the sustainability of the product. The proposed methodology was used in the present work to estimate the tolerance for the least cost of manufacturing a product.

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“…Some approaches first select targets for allowed variations in critical dimensions, which act as constraints in the formulation where the objective is to minimize costs [4]. In these cases, the results depend on the choice of target allowed variation, which is often not chosen in a rigorously scientific manner [5]. Other approaches to tolerance-cost optimization minimize loss functions that combine costs with approximated values of decreased quality to the manufacturer and customer [6], [7].…”

Section: Variation Analysismentioning

confidence: 99%

A Multi-objective Tolerance Optimization Approach for Economic, Ecological, and Social Sustainability

Hoffenson

Dagman

Söderberg

2013

Re-Engineering Manufacturing for Sustainability

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Sustainable design requires simultaneous consideration of the economic, ecological, and social consequences of design decisions. The selection of dimensional tolerances and materials are two such decisions that have impacts in all three of these areas. This article presents an optimization framework along with generalized models for considering sustainability and understanding how different aspects of sustainability may trade off with one another. A mobile phone design is used as a case study to demonstrate the strengths of the approach when varying manufacturing tolerance and material choice, and the results include three-dimensional Pareto frontiers illustrating the design tradeoffs.

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Tolerance Specification Optimization for Economic and Ecological Sustainability

Cited by 8 publications

References 17 publications

Design and Development of IIOT Based Prototype Model by Using Machine Learning Techniques for Workflow Management in Industry 4.0

Design and Development of IIOT Based Prototype Model by Using Machine Learning Techniques for Workflow Management in Industry 4.0

Tolerance Allocation Considering Multiple Phases of the Product Life Cycle for Optimum Cost, Performance, and Sustainability Using the HEIM Framework

A Multi-objective Tolerance Optimization Approach for Economic, Ecological, and Social Sustainability

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